Links to Exploration step
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Association of <italic>IFITM3</italic> rs12252 polymorphisms, BMI, diabetes, and hypercholesterolemia with mild flu in an Iranian population</title><author><name sortKey="Mehrbod, Parvaneh" sort="Mehrbod, Parvaneh" uniqKey="Mehrbod P" first="Parvaneh" last="Mehrbod">Parvaneh Mehrbod</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Eybpoosh, Sana" sort="Eybpoosh, Sana" uniqKey="Eybpoosh S" first="Sana" last="Eybpoosh">Sana Eybpoosh</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Fotouhi, Fatemeh" sort="Fotouhi, Fatemeh" uniqKey="Fotouhi F" first="Fatemeh" last="Fotouhi">Fatemeh Fotouhi</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Shokouhi Targhi, Hadiseh" sort="Shokouhi Targhi, Hadiseh" uniqKey="Shokouhi Targhi H" first="Hadiseh" last="Shokouhi Targhi">Hadiseh Shokouhi Targhi</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Mazaheri, Vahideh" sort="Mazaheri, Vahideh" uniqKey="Mazaheri V" first="Vahideh" last="Mazaheri">Vahideh Mazaheri</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Farahmand, Behrokh" sort="Farahmand, Behrokh" uniqKey="Farahmand B" first="Behrokh" last="Farahmand">Behrokh Farahmand</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">29121968</idno><idno type="pmc">5680824</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680824</idno><idno type="RBID">PMC:5680824</idno><idno type="doi">10.1186/s12985-017-0884-4</idno><date when="2017">2017</date><idno type="wicri:Area/Pmc/Corpus">000166</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000166</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Association of <italic>IFITM3</italic> rs12252 polymorphisms, BMI, diabetes, and hypercholesterolemia with mild flu in an Iranian population</title><author><name sortKey="Mehrbod, Parvaneh" sort="Mehrbod, Parvaneh" uniqKey="Mehrbod P" first="Parvaneh" last="Mehrbod">Parvaneh Mehrbod</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Eybpoosh, Sana" sort="Eybpoosh, Sana" uniqKey="Eybpoosh S" first="Sana" last="Eybpoosh">Sana Eybpoosh</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Fotouhi, Fatemeh" sort="Fotouhi, Fatemeh" uniqKey="Fotouhi F" first="Fatemeh" last="Fotouhi">Fatemeh Fotouhi</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Shokouhi Targhi, Hadiseh" sort="Shokouhi Targhi, Hadiseh" uniqKey="Shokouhi Targhi H" first="Hadiseh" last="Shokouhi Targhi">Hadiseh Shokouhi Targhi</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Mazaheri, Vahideh" sort="Mazaheri, Vahideh" uniqKey="Mazaheri V" first="Vahideh" last="Mazaheri">Vahideh Mazaheri</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author><author><name sortKey="Farahmand, Behrokh" sort="Farahmand, Behrokh" uniqKey="Farahmand B" first="Behrokh" last="Farahmand">Behrokh Farahmand</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</nlm:aff></affiliation></author></analytic><series><title level="j">Virology Journal</title><idno type="eISSN">1743-422X</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p id="Par1"><italic>IFITM3</italic> has been suggested to be associated with infection in some ethnic groups. Diabetes and hypercholesterolemia are also important clinical conditions that can predispose individuals to infection. The aim of this study was to investigate the association of rs12252 C polymorphism, BMI, diabetes, and hypercholesterolemia with mild flu in an Iranian population.</p></sec><sec><title>Methods</title><p id="Par2">We conducted a case-control study, including 79 mild flu and 125 flu-negative individuals attending primary care centers of three provinces of Iran (<italic>i.e,</italic> Markazi, Semnan, and Zanjan). Pharyngeal swab specimens were collected from all participants, and were subjected to RNA and DNA extractions for Real-time PCR and PCR tests. All PCR products were then sequenced to find T/C polymorphisms in the rs12252 region. Data on demographic, anthropometric, and clinical variables were collected from participants’ medical records available in the primary care centers. The data was analyzed using DNASIS (v. 2.5) and Stata (v.11) software.</p></sec><sec><title>Results</title><p id="Par3">All participants were of Fars ethnic background. The allele frequency for rs12252-C was found to be 9.49% among cases and 2.40% among controls. Carriers of the rs12252 C allele (CT + CC genotypes) showed 5.92 folds increase in the risk of mild flu comparing to the T allele homozygotes (<italic>P</italic> value: 0.007). We also found a significant positive association between rs12252 C allele heterozygote and mild flu (OR: 7.62, <italic>P</italic> value: 0.008), but not in C allele homozygote group (OR: 2.71, <italic>P</italic> value: 0.406). Similarly, we did not find a significant association between mild flu and BMI (OR: 1.06, <italic>P</italic> value: 0.087), diabetes (OR: 0.61, <italic>P</italic> value: 0.392), and hypercholesterolemia (OR: 0.50, <italic>P</italic> value: 0.393) in multivariable logistic regression.</p></sec><sec><title>Conclusions</title><p id="Par4">This is the first study evaluating the association between rs12252 polymorphisms, diabetes, hypercholesterolemia, and BMI and susceptibility to mild flu in an Iranian population. Our results suggest a significant positive association between mild flu and rs12252 C allele heterozygous and carriage. Future replication of the strong association observed here between rs12252 C allele carriage and mild flu might candidate this polymorphism as a genetic marker for early screening of susceptibility to mild flu. Lack of significant association between C allele homozygous and mild flu, observed in this study, might be the result of small sample size in this group.</p></sec><sec><title>Trial registration</title><p id="Par5">IR.PII.REC.1395.3.</p></sec><sec><title>Electronic supplementary material</title><p>The online version of this article (10.1186/s12985-017-0884-4) contains supplementary material, which is available to authorized users.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Amini Bavil Olyaee, S" uniqKey="Amini Bavil Olyaee S">S Amini-Bavil-Olyaee</name></author><author><name sortKey="Choi, Yj" uniqKey="Choi Y">YJ Choi</name></author><author><name sortKey="Lee, Jh" uniqKey="Lee J">JH Lee</name></author><author><name sortKey="Shi, M" uniqKey="Shi M">M Shi</name></author><author><name sortKey="Huang, Ic" uniqKey="Huang I">IC Huang</name></author><author><name sortKey="Farzan, M" uniqKey="Farzan M">M Farzan</name></author><author><name sortKey="Jung, Ju" uniqKey="Jung J">JU Jung</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bailey, Cc" uniqKey="Bailey C">CC Bailey</name></author><author><name sortKey="Huang, Ic" uniqKey="Huang I">IC Huang</name></author><author><name sortKey="Kam, C" uniqKey="Kam C">C Kam</name></author><author><name sortKey="Farzan, M" uniqKey="Farzan M">M Farzan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Brass, Al" uniqKey="Brass A">AL Brass</name></author><author><name sortKey="Huang, Ic" uniqKey="Huang I">IC Huang</name></author><author><name sortKey="Benita, Y" uniqKey="Benita Y">Y Benita</name></author><author><name sortKey="John, Sp" uniqKey="John S">SP John</name></author><author><name sortKey="Krishnan, Mn" uniqKey="Krishnan M">MN Krishnan</name></author><author><name sortKey="Feeley, Em" uniqKey="Feeley E">EM Feeley</name></author><author><name sortKey="Ryan, B" uniqKey="Ryan B">B Ryan</name></author><author><name sortKey="Weyer, Jl" uniqKey="Weyer J">JL Weyer</name></author><author><name sortKey="Van Der Weyden, L" uniqKey="Van Der Weyden L">L van der Weyden</name></author><author><name sortKey="Fikrig, E" uniqKey="Fikrig E">E Fikrig</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Cardon, Lr" uniqKey="Cardon L">LR Cardon</name></author><author><name sortKey="Palmer, Lj" uniqKey="Palmer L">LJ Palmer</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chutiwitoonchai, N" uniqKey="Chutiwitoonchai N">N Chutiwitoonchai</name></author><author><name sortKey="Hiyoshi, M" uniqKey="Hiyoshi M">M Hiyoshi</name></author><author><name sortKey="Hiyoshi Yoshidomi, Y" uniqKey="Hiyoshi Yoshidomi Y">Y Hiyoshi-Yoshidomi</name></author><author><name sortKey="Hashimoto, M" uniqKey="Hashimoto M">M Hashimoto</name></author><author><name sortKey="Tokunaga, K" uniqKey="Tokunaga K">K Tokunaga</name></author><author><name sortKey="Suzu, S" uniqKey="Suzu S">S Suzu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ciancanelli, Mj" uniqKey="Ciancanelli M">MJ Ciancanelli</name></author><author><name sortKey="Abel, L" uniqKey="Abel L">L Abel</name></author><author><name sortKey="Zhang, Sy" uniqKey="Zhang S">SY Zhang</name></author><author><name sortKey="Casanova, Jl" uniqKey="Casanova J">JL Casanova</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Compton, Aa" uniqKey="Compton A">AA Compton</name></author><author><name sortKey="Roy, N" uniqKey="Roy N">N Roy</name></author><author><name sortKey="Porrot, F" uniqKey="Porrot F">F Porrot</name></author><author><name sortKey="Billet, A" uniqKey="Billet A">A Billet</name></author><author><name sortKey="Casartelli, N" uniqKey="Casartelli N">N Casartelli</name></author><author><name sortKey="Yount, Js" uniqKey="Yount J">JS Yount</name></author><author><name sortKey="Liang, C" uniqKey="Liang C">C Liang</name></author><author><name sortKey="Schwartz, O" uniqKey="Schwartz O">O Schwartz</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Cui, Q" uniqKey="Cui Q">Q Cui</name></author><author><name sortKey="Ju, X" uniqKey="Ju X">X Ju</name></author><author><name sortKey="Yang, T" uniqKey="Yang T">T Yang</name></author><author><name sortKey="Zhang, M" uniqKey="Zhang M">M Zhang</name></author><author><name sortKey="Tang, W" uniqKey="Tang W">W Tang</name></author><author><name sortKey="Chen, Q" uniqKey="Chen Q">Q Chen</name></author><author><name sortKey="Hu, Y" uniqKey="Hu Y">Y Hu</name></author><author><name sortKey="Haas, Jv" uniqKey="Haas J">JV Haas</name></author><author><name sortKey="Troutt, Js" uniqKey="Troutt J">JS Troutt</name></author><author><name sortKey="Pickard, Rt" uniqKey="Pickard R">RT Pickard</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Everitt, Ar" uniqKey="Everitt A">AR Everitt</name></author><author><name sortKey="Clare, S" uniqKey="Clare S">S Clare</name></author><author><name sortKey="Pertel, T" uniqKey="Pertel T">T Pertel</name></author><author><name sortKey="John, Sp" uniqKey="John S">SP John</name></author><author><name sortKey="Wash, Rs" uniqKey="Wash R">RS Wash</name></author><author><name sortKey="Smith, Se" uniqKey="Smith S">SE Smith</name></author><author><name sortKey="Chin, Cr" uniqKey="Chin C">CR Chin</name></author><author><name sortKey="Feeley, Em" uniqKey="Feeley E">EM Feeley</name></author><author><name sortKey="Sims, Js" uniqKey="Sims J">JS Sims</name></author><author><name sortKey="Adams, Dj" uniqKey="Adams D">DJ Adams</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Feeley, Em" uniqKey="Feeley E">EM Feeley</name></author><author><name sortKey="Sims, Js" uniqKey="Sims J">JS Sims</name></author><author><name sortKey="John, Sp" uniqKey="John S">SP John</name></author><author><name sortKey="Chin, Cr" uniqKey="Chin C">CR Chin</name></author><author><name sortKey="Pertel, T" uniqKey="Pertel T">T Pertel</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Gaio, V" uniqKey="Gaio V">V Gaio</name></author><author><name sortKey="Nunes, B" uniqKey="Nunes B">B Nunes</name></author><author><name sortKey="Pechirra, P" uniqKey="Pechirra P">P Pechirra</name></author><author><name sortKey="Conde, P" uniqKey="Conde P">P Conde</name></author><author><name sortKey="Guiomar, R" uniqKey="Guiomar R">R Guiomar</name></author><author><name sortKey="Dias, Cm" uniqKey="Dias C">CM Dias</name></author><author><name sortKey="Barreto, M" uniqKey="Barreto M">M Barreto</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="He, J" uniqKey="He J">J He</name></author><author><name sortKey="Gu, D" uniqKey="Gu D">D Gu</name></author><author><name sortKey="Wu, X" uniqKey="Wu X">X Wu</name></author><author><name sortKey="Reynolds, K" uniqKey="Reynolds K">K Reynolds</name></author><author><name sortKey="Duan, X" uniqKey="Duan X">X Duan</name></author><author><name sortKey="Yao, C" uniqKey="Yao C">C Yao</name></author><author><name sortKey="Wang, J" uniqKey="Wang J">J Wang</name></author><author><name sortKey="Chen, Cs" uniqKey="Chen C">CS Chen</name></author><author><name sortKey="Chen, J" uniqKey="Chen J">J Chen</name></author><author><name sortKey="Wildman, Rp" uniqKey="Wildman R">RP Wildman</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Horby, P" uniqKey="Horby P">P Horby</name></author><author><name sortKey="Nguyen, Ny" uniqKey="Nguyen N">NY Nguyen</name></author><author><name sortKey="Dunstan, Sj" uniqKey="Dunstan S">SJ Dunstan</name></author><author><name sortKey="Baillie, Jk" uniqKey="Baillie J">JK Baillie</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Huang, Ic" uniqKey="Huang I">IC Huang</name></author><author><name sortKey="Bailey, Cc" uniqKey="Bailey C">CC Bailey</name></author><author><name sortKey="Weyer, Jl" uniqKey="Weyer J">JL Weyer</name></author><author><name sortKey="Radoshitzky, Sr" uniqKey="Radoshitzky S">SR Radoshitzky</name></author><author><name sortKey="Becker, Mm" uniqKey="Becker M">MM Becker</name></author><author><name sortKey="Chiang, Jj" uniqKey="Chiang J">JJ Chiang</name></author><author><name sortKey="Brass, Al" uniqKey="Brass A">AL Brass</name></author><author><name sortKey="Ahmed, Aa" uniqKey="Ahmed A">AA Ahmed</name></author><author><name sortKey="Chi, X" uniqKey="Chi X">X Chi</name></author><author><name sortKey="Dong, L" uniqKey="Dong L">L Dong</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Jiang, D" uniqKey="Jiang D">D Jiang</name></author><author><name sortKey="Weidner, Jm" uniqKey="Weidner J">JM Weidner</name></author><author><name sortKey="Qing, M" uniqKey="Qing M">M Qing</name></author><author><name sortKey="Pan, Xb" uniqKey="Pan X">XB Pan</name></author><author><name sortKey="Guo, H" uniqKey="Guo H">H Guo</name></author><author><name sortKey="Xu, C" uniqKey="Xu C">C Xu</name></author><author><name sortKey="Zhang, X" uniqKey="Zhang X">X Zhang</name></author><author><name sortKey="Birk, A" uniqKey="Birk A">A Birk</name></author><author><name sortKey="Chang, J" uniqKey="Chang J">J Chang</name></author><author><name sortKey="Shi, Py" uniqKey="Shi P">PY Shi</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kiselev, Oi" uniqKey="Kiselev O">OI Kiselev</name></author><author><name sortKey="Komissarov, Ab" uniqKey="Komissarov A">AB Komissarov</name></author><author><name sortKey="Konshina, Os" uniqKey="Konshina O">OS Konshina</name></author><author><name sortKey="Dmitrieva, Mn" uniqKey="Dmitrieva M">MN Dmitrieva</name></author><author><name sortKey="Deyeva, Eg" uniqKey="Deyeva E">EG Deyeva</name></author><author><name sortKey="Sologub, Tv" uniqKey="Sologub T">TV Sologub</name></author><author><name sortKey="Pokrovskiy, Vi" uniqKey="Pokrovskiy V">VI Pokrovskiy</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Konig, R" uniqKey="Konig R">R Konig</name></author><author><name sortKey="Stertz, S" uniqKey="Stertz S">S Stertz</name></author><author><name sortKey="Zhou, Y" uniqKey="Zhou Y">Y Zhou</name></author><author><name sortKey="Inoue, A" uniqKey="Inoue A">A Inoue</name></author><author><name sortKey="Hoffmann, Hh" uniqKey="Hoffmann H">HH Hoffmann</name></author><author><name sortKey="Bhattacharyya, S" uniqKey="Bhattacharyya S">S Bhattacharyya</name></author><author><name sortKey="Alamares, Jg" uniqKey="Alamares J">JG Alamares</name></author><author><name sortKey="Tscherne, Dm" uniqKey="Tscherne D">DM Tscherne</name></author><author><name sortKey="Ortigoza, Mb" uniqKey="Ortigoza M">MB Ortigoza</name></author><author><name sortKey="Liang, Y" uniqKey="Liang Y">Y Liang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lander, Es" uniqKey="Lander E">ES Lander</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="L Pez Rodriguez, M" uniqKey="L Pez Rodriguez M">M López-Rodríguez</name></author><author><name sortKey="Herrera Ramos, E" uniqKey="Herrera Ramos E">E Herrera-Ramos</name></author><author><name sortKey="Sole Violan, J" uniqKey="Sole Violan J">J Solé-Violán</name></author><author><name sortKey="Ruiz Hernandez, Jj" uniqKey="Ruiz Hernandez J">JJ Ruíz-Hernández</name></author><author><name sortKey="Borderias, L" uniqKey="Borderias L">L Borderías</name></author><author><name sortKey="Horcajada, Jp" uniqKey="Horcajada J">JP Horcajada</name></author><author><name sortKey="Lerma Chippirraz, E" uniqKey="Lerma Chippirraz E">E Lerma-Chippirraz</name></author><author><name sortKey="Rajas, O" uniqKey="Rajas O">O Rajas</name></author><author><name sortKey="Briones, M" uniqKey="Briones M">M Briones</name></author><author><name sortKey="Perez Gonzalez, Mc" uniqKey="Perez Gonzalez M">MC Pérez-González</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lu, J" uniqKey="Lu J">J Lu</name></author><author><name sortKey="Pan, Q" uniqKey="Pan Q">Q Pan</name></author><author><name sortKey="Rong, L" uniqKey="Rong L">L Rong</name></author><author><name sortKey="He, W" uniqKey="He W">W He</name></author><author><name sortKey="Liu, Sl" uniqKey="Liu S">SL Liu</name></author><author><name sortKey="Liang, C" uniqKey="Liang C">C Liang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mercer, J" uniqKey="Mercer J">J Mercer</name></author><author><name sortKey="Schelhaas, M" uniqKey="Schelhaas M">M Schelhaas</name></author><author><name sortKey="Helenius, A" uniqKey="Helenius A">A Helenius</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mills, T" uniqKey="Mills T">T Mills</name></author><author><name sortKey="Rautanen, A" uniqKey="Rautanen A">A Rautanen</name></author><author><name sortKey="Elliott, Ks" uniqKey="Elliott K">KS Elliott</name></author><author><name sortKey="Parks, T" uniqKey="Parks T">T Parks</name></author><author><name sortKey="Naranbhai, V" uniqKey="Naranbhai V">V Naranbhai</name></author><author><name sortKey="Ieven, Mm" uniqKey="Ieven M">MM Ieven</name></author><author><name sortKey="Butler, Cc" uniqKey="Butler C">CC Butler</name></author><author><name sortKey="Little, P" uniqKey="Little P">P Little</name></author><author><name sortKey="Verheij, T" uniqKey="Verheij T">T Verheij</name></author><author><name sortKey="Garrard, Cs" uniqKey="Garrard C">CS Garrard</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Niu, N" uniqKey="Niu N">N Niu</name></author><author><name sortKey="Zhu, X" uniqKey="Zhu X">X Zhu</name></author><author><name sortKey="Liu, Y" uniqKey="Liu Y">Y Liu</name></author><author><name sortKey="Du, T" uniqKey="Du T">T Du</name></author><author><name sortKey="Wang, X" uniqKey="Wang X">X Wang</name></author><author><name sortKey="Chen, D" uniqKey="Chen D">D Chen</name></author><author><name sortKey="Sun, B" uniqKey="Sun B">B Sun</name></author><author><name sortKey="Gu, Hf" uniqKey="Gu H">HF Gu</name></author><author><name sortKey="Liu, Y" uniqKey="Liu Y">Y Liu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rodriguez, S" uniqKey="Rodriguez S">S Rodriguez</name></author><author><name sortKey="Gaunt, Tr" uniqKey="Gaunt T">TR Gaunt</name></author><author><name sortKey="Day, Inm" uniqKey="Day I">INM Day</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Sadler, Aj" uniqKey="Sadler A">AJ Sadler</name></author><author><name sortKey="Williams, Brg" uniqKey="Williams B">BRG Williams</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Schoggins, Jw" uniqKey="Schoggins J">JW Schoggins</name></author><author><name sortKey="Wilson, Sj" uniqKey="Wilson S">SJ Wilson</name></author><author><name sortKey="Panis, M" uniqKey="Panis M">M Panis</name></author><author><name sortKey="Murphy, My" uniqKey="Murphy M">MY Murphy</name></author><author><name sortKey="Jones, Ct" uniqKey="Jones C">CT Jones</name></author><author><name sortKey="Bieniasz, P" uniqKey="Bieniasz P">P Bieniasz</name></author><author><name sortKey="Rice, Cm" uniqKey="Rice C">CM Rice</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wang, Z" uniqKey="Wang Z">Z Wang</name></author><author><name sortKey="Zhang, A" uniqKey="Zhang A">A Zhang</name></author><author><name sortKey="Wan, Y" uniqKey="Wan Y">Y Wan</name></author><author><name sortKey="Liu, X" uniqKey="Liu X">X Liu</name></author><author><name sortKey="Qiu, C" uniqKey="Qiu C">C Qiu</name></author><author><name sortKey="Xi, X" uniqKey="Xi X">X Xi</name></author><author><name sortKey="Ren, Y" uniqKey="Ren Y">Y Ren</name></author><author><name sortKey="Wang, J" uniqKey="Wang J">J Wang</name></author><author><name sortKey="Dong, Y" uniqKey="Dong Y">Y Dong</name></author><author><name sortKey="Bao, M" uniqKey="Bao M">M Bao</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Weidner, Jm" uniqKey="Weidner J">JM Weidner</name></author><author><name sortKey="Jiang, D" uniqKey="Jiang D">D Jiang</name></author><author><name sortKey="Pan, Xb" uniqKey="Pan X">XB Pan</name></author><author><name sortKey="Chang, J" uniqKey="Chang J">J Chang</name></author><author><name sortKey="Block, Tm" uniqKey="Block T">TM Block</name></author><author><name sortKey="Guo, Jt" uniqKey="Guo J">JT Guo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yang, X" uniqKey="Yang X">X Yang</name></author><author><name sortKey="Tan, B" uniqKey="Tan B">B Tan</name></author><author><name sortKey="Zhou, X" uniqKey="Zhou X">X Zhou</name></author><author><name sortKey="Xue, J" uniqKey="Xue J">J Xue</name></author><author><name sortKey="Zhang, X" uniqKey="Zhang X">X Zhang</name></author><author><name sortKey="Wang, P" uniqKey="Wang P">P Wang</name></author><author><name sortKey="Shao, C" uniqKey="Shao C">C Shao</name></author><author><name sortKey="Li, Y" uniqKey="Li Y">Y Li</name></author><author><name sortKey="Li, C" uniqKey="Li C">C Li</name></author><author><name sortKey="Xia, H" uniqKey="Xia H">H Xia</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yount, Js" uniqKey="Yount J">JS Yount</name></author><author><name sortKey="Moltedo, B" uniqKey="Moltedo B">B Moltedo</name></author><author><name sortKey="Yang, Y Y" uniqKey="Yang Y">Y-Y Yang</name></author><author><name sortKey="Charron, G" uniqKey="Charron G">G Charron</name></author><author><name sortKey="Moran, Tm" uniqKey="Moran T">TM Moran</name></author><author><name sortKey="L Pez, Cb" uniqKey="L Pez C">CB López</name></author><author><name sortKey="Hang, Hc" uniqKey="Hang H">HC Hang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhang, Yh" uniqKey="Zhang Y">YH Zhang</name></author><author><name sortKey="Zhao, Y" uniqKey="Zhao Y">Y Zhao</name></author><author><name sortKey="Li, N" uniqKey="Li N">N Li</name></author><author><name sortKey="Peng, Yc" uniqKey="Peng Y">YC Peng</name></author><author><name sortKey="Giannoulatou, E" uniqKey="Giannoulatou E">E Giannoulatou</name></author><author><name sortKey="Jin, Rh" uniqKey="Jin R">RH Jin</name></author><author><name sortKey="Yan, Hp" uniqKey="Yan H">HP Yan</name></author><author><name sortKey="Wu, H" uniqKey="Wu H">H Wu</name></author><author><name sortKey="Liu, Jh" uniqKey="Liu J">JH Liu</name></author><author><name sortKey="Liu, N" uniqKey="Liu N">N Liu</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Virol J</journal-id><journal-id journal-id-type="iso-abbrev">Virol. J</journal-id><journal-title-group><journal-title>Virology Journal</journal-title></journal-title-group><issn pub-type="epub">1743-422X</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29121968</article-id><article-id pub-id-type="pmc">5680824</article-id><article-id pub-id-type="publisher-id">884</article-id><article-id pub-id-type="doi">10.1186/s12985-017-0884-4</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories><title-group><article-title>Association of <italic>IFITM3</italic> rs12252 polymorphisms, BMI, diabetes, and hypercholesterolemia with mild flu in an Iranian population</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Mehrbod</surname><given-names>Parvaneh</given-names></name><address><email>mehrbode@yahoo.com</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Eybpoosh</surname><given-names>Sana</given-names></name><address><email>sana.eybpoosh@gmail.com</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Fotouhi</surname><given-names>Fatemeh</given-names></name><address><email>fotouhi@pasteur.ac.ir</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Shokouhi Targhi</surname><given-names>Hadiseh</given-names></name><address><email>shokohi.hadis@gmail.com</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Mazaheri</surname><given-names>Vahideh</given-names></name><address><email>mazaherivahideh@gmail.com</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Farahmand</surname><given-names>Behrokh</given-names></name><address><phone>(+98) 21-66953311-15</phone><email>b_farahmand@pasteur.ac.ir</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Influenza and Other Respiratory Viruses Department,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9562 2611</institution-id><institution-id institution-id-type="GRID">grid.420169.8</institution-id><institution>Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases,</institution><institution>Pasteur Institute of Iran,</institution></institution-wrap>Tehran, Iran</aff></contrib-group><pub-date pub-type="epub"><day>9</day><month>11</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>9</day><month>11</month><year>2017</year></pub-date><pub-date pub-type="collection"><year>2017</year></pub-date><volume>14</volume><elocation-id>218</elocation-id><history><date date-type="received"><day>26</day><month>1</month><year>2017</year></date><date date-type="accepted"><day>31</day><month>10</month><year>2017</year></date></history><permissions><copyright-statement>© The Author(s). 2017</copyright-statement><license license-type="OpenAccess"><license-p><bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><abstract id="Abs1"><sec><title>Background</title><p id="Par1"><italic>IFITM3</italic> has been suggested to be associated with infection in some ethnic groups. Diabetes and hypercholesterolemia are also important clinical conditions that can predispose individuals to infection. The aim of this study was to investigate the association of rs12252 C polymorphism, BMI, diabetes, and hypercholesterolemia with mild flu in an Iranian population.</p></sec><sec><title>Methods</title><p id="Par2">We conducted a case-control study, including 79 mild flu and 125 flu-negative individuals attending primary care centers of three provinces of Iran (<italic>i.e,</italic> Markazi, Semnan, and Zanjan). Pharyngeal swab specimens were collected from all participants, and were subjected to RNA and DNA extractions for Real-time PCR and PCR tests. All PCR products were then sequenced to find T/C polymorphisms in the rs12252 region. Data on demographic, anthropometric, and clinical variables were collected from participants’ medical records available in the primary care centers. The data was analyzed using DNASIS (v. 2.5) and Stata (v.11) software.</p></sec><sec><title>Results</title><p id="Par3">All participants were of Fars ethnic background. The allele frequency for rs12252-C was found to be 9.49% among cases and 2.40% among controls. Carriers of the rs12252 C allele (CT + CC genotypes) showed 5.92 folds increase in the risk of mild flu comparing to the T allele homozygotes (<italic>P</italic> value: 0.007). We also found a significant positive association between rs12252 C allele heterozygote and mild flu (OR: 7.62, <italic>P</italic> value: 0.008), but not in C allele homozygote group (OR: 2.71, <italic>P</italic> value: 0.406). Similarly, we did not find a significant association between mild flu and BMI (OR: 1.06, <italic>P</italic> value: 0.087), diabetes (OR: 0.61, <italic>P</italic> value: 0.392), and hypercholesterolemia (OR: 0.50, <italic>P</italic> value: 0.393) in multivariable logistic regression.</p></sec><sec><title>Conclusions</title><p id="Par4">This is the first study evaluating the association between rs12252 polymorphisms, diabetes, hypercholesterolemia, and BMI and susceptibility to mild flu in an Iranian population. Our results suggest a significant positive association between mild flu and rs12252 C allele heterozygous and carriage. Future replication of the strong association observed here between rs12252 C allele carriage and mild flu might candidate this polymorphism as a genetic marker for early screening of susceptibility to mild flu. Lack of significant association between C allele homozygous and mild flu, observed in this study, might be the result of small sample size in this group.</p></sec><sec><title>Trial registration</title><p id="Par5">IR.PII.REC.1395.3.</p></sec><sec><title>Electronic supplementary material</title><p>The online version of this article (10.1186/s12985-017-0884-4) contains supplementary material, which is available to authorized users.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Human influenza</kwd><kwd>IFITM3 protein</kwd><kwd>Body mass index</kwd><kwd>Hypercholesterolemia</kwd><kwd>Diabetes</kwd><kwd>Polymorphism</kwd><kwd>Iran</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100003967</institution-id><institution>Iran's National Elites Foundation</institution></institution-wrap></funding-source><award-id>831</award-id><principal-award-recipient><name><surname>Mehrbod</surname><given-names>Parvaneh</given-names></name></principal-award-recipient></award-group></funding-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© The Author(s) 2017</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par13">Influenza is the result of both host and viral genetic components combination. The viral genetic determinants and host immunity have been widely considered, while the host genetic determinants remain elusive [<xref ref-type="bibr" rid="CR13">13</xref>]. The study of the host genetic factors involved in susceptibility to influenza is a promising strategy that may identify potential therapeutic targets [<xref ref-type="bibr" rid="CR18">18</xref>]. As a result, systematic investigation of the association between host genetic factors and the occurrence of influenza is of pivotal importance. In 2009, the World Health Organization (WHO) identified as priority the studies which considered the role of host genetic factors on susceptibility to severe flu [<xref ref-type="bibr" rid="CR17">17</xref>].</p><p id="Par14">During viral infection, viral proteins and viral nucleic acids are detected by pathogen recognition receptors (PRRs). These recognition patterns activate signaling transduction pathways that trigger production of type I interferon and other related cytokines [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. Type I interferon then elevates the expression of hundreds of genes, named interferon stimulated genes (ISGs), that weaken virus replication by a variety of mechanisms [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR25">25</xref>].</p><p id="Par15">It has been suggested that the expression of interferon-inducible transmembrane (<italic>IFITM</italic>) genes restrict the replication of several highly pathogenic human viruses, especially those that enter the cell via acidic endosome [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR10">10</xref>, <xref ref-type="bibr" rid="CR26">26</xref>]. These viruses include severe acute respiratory syndrome (SARS), coronavirus, Marburg and Ebola viruses, influenza A viruses (IAVs), dengue virus, and HIV-1 [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR5">5</xref>, <xref ref-type="bibr" rid="CR14">14</xref>, <xref ref-type="bibr" rid="CR20">20</xref>].</p><p id="Par16">In humans, it has been predicted that rare SNP rs12252-C allele of <italic>IFITM3</italic> produces an alternatively spliced transcript that encodes a truncated protein (Δ21 IFITM3) leading to reduced control of virus replication in vitro. However, expression at mRNA or protein level of the Δ21 IFITM3 variant has not been detected to date [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR9">9</xref>].</p><p id="Par17">The value of <italic>IFITM3</italic> in influenza virus infection was determined by Everitt et al. who showed that severity of influenza virus infection was greatly increased in <italic>IFITM3</italic> knockout mice compared to the wild-type animals [<xref ref-type="bibr" rid="CR9">9</xref>]. Everitt et al. and Zhang et al. demonstrated increased morbidity and mortality in rs12252-C homozygotes during the H1N1 influenza pandemic. Due to the high frequency of the rs12252-C allele in Asians, the effect of the homozygosity for this allele was proposed to translate to a population-attributable risk of 54.3% for severe flu in the Chinese population compared with 5.4% in Northern Europeans. Both studies were performed with small sample sizes of H1N1-infected patients, calling for further studies on large sample sizes. Two studies reported a strong association between <italic>IFITM3</italic> SNP rs12252-C and worse clinical outcomes in patients infected with 2009 IAV pandemic. The studies, however, doubt the presence of such association, at least among Europeans, as several rs-12,252-C homozygous patients only developed a mild flu [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR31">31</xref>].</p><p id="Par18">It appears that IFITM3 inhibits an early event after endocytosis of virion particles, by blocking virus release into the cytosol [<xref ref-type="bibr" rid="CR1">1</xref>, <xref ref-type="bibr" rid="CR10">10</xref>, <xref ref-type="bibr" rid="CR28">28</xref>]. IFITM3 protein is considered to be the most active against IAV and resides in the late endosomes and lysosomes using several orthologous genetic approaches [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR14">14</xref>]. Wang and colleagues showed that inflammatory immune responses linked to the C/C <italic>IFITM3</italic> genotype during H7N9 infection play an important role in the pathogenesis of influenza. They found that patients with rs12252-C/C IFN-<italic>IFITM3</italic> genotype had more rapid disease progression, and were less likely to survive [<xref ref-type="bibr" rid="CR27">27</xref>].</p><p id="Par19">Although previous studies concluded that the rs12252-C variant leads to reduced control of virus replication in vitro, posterior studies did not find such effects. For example, Mills et al. found an association between rs12252 rare allele C/C homozygotes and susceptibility to mild flu but they could not confirm previous reports for the association between this polymorphism and susceptibility to severe H1N1 infection [<xref ref-type="bibr" rid="CR22">22</xref>]. The data obtained by López-Rodríguez et al. did not either suggest any role of rs12252-C in the development of severe IAV in their studied population. They suggested these groups might be at risk of severe influenza, hence individualized measures in the case of IAV is required [<xref ref-type="bibr" rid="CR19">19</xref>].</p><p id="Par20">Giao et al. also showed that except H1N1 influenza (pdm09), the risk of hospitalization due to other respiratory infections was higher among rs12252 C allele carriers comparing to patients with TT genotype [<xref ref-type="bibr" rid="CR11">11</xref>].</p><p id="Par21">It has been reported that local accumulation of cholesterol to the plasma membrane is important for clustering of viral structural proteins in lipid rafts to help assemble the virus particles [<xref ref-type="bibr" rid="CR1">1</xref>]. Thus, the imbalance in cholesterol level may play a role in the susceptibility to influenza. The <italic>IFITM3</italic> gene mutation may lead to an increase in impaired cholesterol levels [<xref ref-type="bibr" rid="CR1">1</xref>]. As an instance, mutation rate of <italic>IFITM3</italic> gene is shown to be high among Han Chinese population. Coronary artery disease and ischemic stroke are highly associated with BMI and serum cholesterol levels, and are the leading causes of morbidity and mortality in Han Chinese population [<xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. Therefore, we performed this study to identify the association between mild flu and <italic>IFITM3</italic> rs12252-C polymorphism, BMI, diabetes and hypercholesterolemia.</p></sec><sec id="Sec2"><title>Methods</title><sec id="Sec3"><title>Ethics statement</title><p id="Par22">Written informed consent was obtained from all participants. All procedures performed in this study involving human participants were according to the principles Helsinki declaration. The research protocol was approved by the Ethics Committee of Pasteur Institute of Iran (Ethics code: IR.PII.REC.1395.3).</p></sec><sec id="Sec4"><title>Participants</title><p id="Par23">We performed a case–control study on the samples collected from March 2015 to December 2015 in three provinces of northern-central Iran, including Markazi, Semnan, and Zanjan. Cases would be included in this study if they had apparent symptoms of respiratory tract infection, and were confirmed as mild flu with PCR test. Controls were flu-negative individuals based on the PCR results, and would be included in the study if they had no history of influenza. Both cases and controls should be based and currently residing in Markazi, Semnan, or Zanjan provinces. Having respiratory comorbidities, consumption of immune suppressive drugs, and previous vaccination against influenza virus were our exclusion criteria.</p></sec><sec id="Sec5"><title>Sample collection</title><p id="Par24">Demographic and anthropometric characteristics measured for each participant included participants’ age (in years), province (Markazi, Semnan, and Zanjan provinces), Body Mass Index (BMI, kg/m<sup>2</sup>), diabetes (Yes/No), hypercholesterolemia (Yes/No), and genotype in the <italic>IFITM3</italic> rs12252 locus. The BMI of each participant was calculated using the formula: BMI = [weight (kg)] / [height (m)]<sup>2</sup>. The diabetes and hypercholesterolemia positive and negative cases were confirmed based on the patients’ history reports. To test for influenza, pharyngeal specimen from each individual was obtained with a Dacron swab. Specimens were collected on dry ice in transport media containing Pen/Strep and Amphotericin B, and then were transferred to Pasteur Institute of Iran for determination of IAV. All samples were stored at 4 °C for 24 h. Following vortex, swabs were discarded and the supernatants were aliquoted in sterile labeled micro-tubes and stored at −80 °C for further testing.</p></sec><sec id="Sec6"><title>Detecting IAV in swab samples</title><sec id="Sec7"><title>Viral RNA extraction</title><p id="Par25">For each sample, viral RNA was extracted from 200 μl fluid specimen using High Pure Viral RNA Kit, according to the manufacturer’s instructions (Roche, Switzerland). The extracted RNA was isolated and re-suspended in 50 μl Elution Buffer and stored at −80 °C for Real-time PCR assay.</p></sec><sec id="Sec8"><title>Primers and probes design</title><p id="Par26">In quantitative real-time PCR (qRT-PCR), primers and probes were designed and synthesized by SinaClon Co. (Iran) based on the latest WHO guideline. Table <xref rid="Tab1" ref-type="table">1</xref> describes the primers used for amplification of viral genes and RNaseP as housekeeping control.<table-wrap id="Tab1"><label>Table 1</label><caption><p>Real-time PCR Primers and probes specifications</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Primers/Probes</th><th>Sequence (5′ > 3′)</th><th>Working Concentration</th></tr></thead><tbody><tr><td>InfA Forward</td><td>GAC CRA TCC TGT CAC CTC TGA C</td><td>40 μM</td></tr><tr><td>InfA Reverse</td><td>GCA TTY TGG ACA AAK CGT CTA</td><td>40 μM</td></tr><tr><td>InfA Probe<sup>a</sup></td><td>TGC AGT CCT CGC TCA CTG GGC ACG</td><td>10 μM</td></tr><tr><td>SW InfA Forward</td><td>GCA CGG TCA GCA CTT ATY CTR AG</td><td>40 μM</td></tr><tr><td>SW InfA Reverse</td><td>GTG RGC TGG GTT TTC ATT TGG TC</td><td>40 μM</td></tr><tr><td>SW InfA Probe<sup>b</sup></td><td>CYA CTG CAA GCC CA“T” ACA CAC AAG CAG GCA</td><td>10 μM</td></tr><tr><td>Flu B Primer<sup>a</sup> M</td><td>GAGACACAATTGCCTACCTGCTT</td><td>10 pm</td></tr><tr><td>Flu B Primer<sup>b</sup> M</td><td>TTCTTTCCCACCGAACCAAC</td><td>10 pm</td></tr><tr><td>B Probe M</td><td>AGAAGATGGAGAAGGCAAAGCAGAACTAGC</td><td>5 pm</td></tr><tr><td>Rnase P Forward</td><td>AGATTTGGACCTGCGAGCG</td><td>40 μM</td></tr><tr><td>Rnase P Reverse</td><td>GAGCGGCTGTCTCCACAAGT</td><td>40 μM</td></tr><tr><td>Rnase P Probe<sup>a</sup></td><td>TTCTGACCTGAAGGCTCTGCGCG</td><td>10 μM</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>TaqMan probes are labeled at 5′- end with the reporter molecule 6- carboxyfluorescein (FAM) and with the quencher Blackhole Quencher 1 (BHQ1) at the 3′- end</p><p><sup>b</sup>TaqMan probes are labeled at 5′- end with the reporter molecule 6- carboxyfluorescein (FAM) and quenched internally at a modified “T” residue with BHQ1 with a modified 3′- end to prevent probe extension by Taq polymerase</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec9"><title>One-step quantitative real-time PCR</title><p id="Par27">Real-time PCR reactions were performed in total volume of 20 μl, using Rotor-Gene Q (QIAGEN). The reaction mixture consisted of 2X Master Mix, SuperScript<sup>III</sup> RT/Platinum Taq Mix, specific primers and fluorescent probes. The thermal cycling program was followed based on WHO guideline. Briefly, reverse transcription was carried out at 50 °C for 30 min, followed by 95° for 2 min Taq inhibitor activation, and amplification at 95 °C for 15 s followed by 55 °C for 30 s.</p></sec></sec><sec id="Sec10"><title>Genotyping of human <italic>IFITM3</italic> rs12252</title><sec id="Sec11"><title>Human DNA extraction</title><p id="Par28">For each sample, genomic DNA was extracted from 100 μl fluid specimen using DNP™ High yield DNA Purification Kit, according to the manufacturer’s instructions (Cinnagen, Iran). Briefly, 400 μl of Lysis Solution was added to each sample. Following vortex and addition of precipitation solution, a second round vortex was performed. The samples were then centrifuged. Wash buffer was used for two times to wash the precipitation. Finally, solvent buffer was added and the tubes were warmed at 65 °C for 5 min. The supernatant, which was the purified DNA, was stored at −20 °C for PCR assay.</p></sec><sec id="Sec12"><title>Primers design</title><p id="Par29">Primers for PCR were designed and synthesized by SinaClon Co. (Iran) based on previous published articles [<xref ref-type="bibr" rid="CR31">31</xref>]. The primers used for the amplification of human <italic>IFITM3</italic> rs12252 were as follow: <italic>IFITM3</italic>-F 5′-GGAAACTGTTGAGAAACCGAA-3′ and <italic>IFITM3</italic>-R 5′-CATACGCACCTTCACGGAGT-3′ to produce 351 bp PCR product. The18 S rRNA was amplified as internal housekeeping using theses primers sequences: 18 S-F 5′-GGCCCTGTAATTGGAATGAGTC-3′ and 18 S-R5′- CCAAGATCCAACTACGAGCTT-3′ to produce 145 bp PCR product.</p></sec><sec id="Sec13"><title>Conventional PCR</title><p id="Par30">PCR reaction was performed in total volume of 25 μl, using Thermocycler (Germany). The reaction mixture consisted of Taq DNA Polymerase 2× Master Mix RED with 1.5 mM MgCl<sub>2</sub> (Amplicon, Denmark), specific primers and DNase-free water. Amplification was carried out at 95 °C for 30 s in order to pre-denature the template DNA, followed by 40 cycles of denaturation at 95 °C for 30 s, annealing at 60 °C for 1 min and extension at 72 °C for 1 min. The final extension was completed at 72 °C for 5 min. The PCR products were purified using PCR purification kit (Millipore), and subjected to sequencing (First Base Co, Malaysia) using the BigDye® Terminator v3.1 cycle sequencing kit chemistry. Then they were loaded into DNA Analyzer (GATC Biotech). Both sense and antisense strands of PCR products were directly sequenced using the same primers as the PCR amplification. SNPs were detected by direct sequence analysis using DNAsis MAX.3 software. The reference sequence for the <italic>IFITM3</italic> gene was based on the sequence of human chromosome 11, clone GRCh38.p2.</p></sec></sec><sec id="Sec14"><title>Genetic and statistical analysis</title><p id="Par31">Hardy-Weinberg equilibrium (HWE) was tested in cases and controls using the web tool developed by Rodriguez, and colleagues [<xref ref-type="bibr" rid="CR24">24</xref>]. Using this tool, allele frequency and genotype distribution were calculated for cases and controls, as well. Statistical analyses were performed using Stata software (version 11). Continuous and categorical data were described in the usual fashion; means ± SDs were used to describe continuous variables, and numbers (percentages) were used to describe categorical variables. Association between categorical variables, including study group (mild flu vs. flu-negatives), rs12252 genotype (CC, CT, TT, and C carriers), rs12252 allele (C and T), province (Markazi, Semnan, and Zanjan), diabetes (positive vs. negative), and hypercholesterolemia (positive vs. negative), was assessed using Pearson’s chi-squared test. For each cell with zero counts in contingency tables, Yates’s correction was used. Also, where more than 20% of cells had counts less than 5, the alternative Fisher’s exact test was used instead of Pearson’s chi-squared test. Univariable logistic regression was used to test the association of each independent variable with mild flu. Variables with a <italic>P</italic> value smaller than 0.2 in the univariable model were included into the multivariable logistic regression. Also, a backward method using likelihood ratio tests (LRT) was used to make the model as simple as possible. As we sampled cases and controls from three distinct provinces of Iran, we retained the variable “province” in the final model. This was to ensure that residual population admixture, due to differences in participants’ area of residence, does not confound the association between rs12252 genotypes and mild flu. All statistical tests were two-tailed with a type I error of 0.05. Observed powers of the estimated crude and adjusted odds ratios (OR) were also calculated to assess the robustness of our results (Additional file <xref rid="MOESM1" ref-type="media">1</xref>).</p></sec></sec><sec id="Sec15"><title>Results</title><sec id="Sec16"><title>Participants</title><p id="Par32">A total of 79 mild flu cases and 125 controls were included in this study. Participants’ mean age in the case and control groups was 46.46 (SD: 22.90) and 50.62 (SD: 25.30) years, respectively (<italic>P</italic> value <sub>t-test</sub>: 0.275). All participants were of Fars ethnicity, which is the dominant ethnicity in Iran. The distribution pattern of flu-positive and flu-negative individuals was similar across three provinces, with Semnan having the highest number of both cases (45.57%) and controls (72.80%), and Zanjan having the lowest number of cases (12.66%) and controls (7.20%). The difference in the number of cases and controls was significant between Semnan and Zanjan (OR<sub>Seman vs. Zanjan</sub>: 0.36, <italic>P</italic> value: 0.039), but not between Semanan and Markazi or between Zanjan and Markazi provinces. Details of participants’ characteristics are shown in Table <xref rid="Tab2" ref-type="table">2</xref>.<table-wrap id="Tab2"><label>Table 2</label><caption><p>Participants’ characteristics and univariable logistic regression of the association between mild flu and rs12252 polymorphisms, BMI, diabetes, and hypercholesterolemia in an Iranian sample with Fars ethnic background</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2">Variables</th><th>Case</th><th>Control</th><th rowspan="2">OR</th><th rowspan="2">95% CI</th><th rowspan="2"><italic>P</italic> value</th></tr><tr><th><italic>n</italic> = 79</th><th><italic>n</italic> = 125</th></tr></thead><tbody><tr><td>Age <sub>(mean ± SD)</sub></td><td>46.46 ± 22.90</td><td>50.62 ± 25.30</td><td>0.99</td><td>0.98, 1.00</td><td>0.275</td></tr><tr><td>BMI <sub>(mean ± SD)</sub></td><td>26.51 ± 8.67</td><td>23.76 ± 4.67</td><td>1.06</td><td>1.01, 1.13</td><td>0.034</td></tr><tr><td colspan="6">Province <sub>n (%)</sub></td></tr><tr><td> Semnan</td><td>36 (45.57)</td><td>91 (72.80)</td><td>0.36</td><td>0.13, 0.95</td><td>0.039</td></tr><tr><td> Markazi</td><td>33 (41.77)</td><td>25 (20.00)</td><td>1.19</td><td>0.42, 3.36</td><td>0.745</td></tr><tr><td> Zanjan</td><td>10 (12.66)</td><td>9 (7.20)</td><td>1</td><td>–</td><td>–</td></tr><tr><td colspan="6">Hypercholesterolemia <sub>n (%)</sub></td></tr><tr><td> Positive</td><td>3 (3.80)</td><td>16 (12.80)</td><td>0.27</td><td>0.08, 0.96</td><td>0.042</td></tr><tr><td> Negative</td><td>76 (96.20)</td><td>109 (87.20)</td><td>1</td><td>–</td><td>–</td></tr><tr><td>Diabetes <sub>n (%)</sub></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> Positive</td><td>12 (15.19)</td><td>42 (33.60)</td><td>0.35</td><td>0.17, 0.73</td><td>0.005</td></tr><tr><td> Negative</td><td>67 (84.81)</td><td>83 (66.40)</td><td>1</td><td>–</td><td>–</td></tr><tr><td colspan="6">Genotype <sub>n (%)</sub></td></tr><tr><td> CC</td><td>3 (3.80)</td><td>1 (0.80)</td><td>5.37</td><td>0.55, 52.68</td><td>0.149</td></tr><tr><td> TC</td><td>9 (11.39)</td><td>4 (3.20)</td><td>4.03</td><td>1.20, 13.58</td><td>0.025</td></tr><tr><td> CC + CT</td><td>12 (15.19)</td><td>5 (4.00)</td><td>4.29</td><td>1.45, 12.72</td><td>0.008</td></tr><tr><td> TT</td><td>67 (84.81)</td><td>120 (96.00)</td><td>1</td><td>–</td><td>–</td></tr><tr><td colspan="6">Allele <sub>n (%)</sub></td></tr><tr><td> C allele</td><td>15 (9.49)</td><td>6 (2.40)</td><td>4.26</td><td>1.51, 13.67</td><td>0.0016</td></tr><tr><td> T allele</td><td>143 (90.51)</td><td>244 (97.60)</td><td>1</td><td>–</td><td>–</td></tr></tbody></table></table-wrap></p></sec><sec id="Sec17"><title>Anthropometric and clinical characteristics of study participants</title><p id="Par33">The mean BMI value was slightly higher among mild flu patients rather than in controls (<italic>P</italic> value: 0.034). Prevalence of hypercholesterolemia and diabetes was also significantly higher in controls rather than in mild flu patients (<italic>P</italic> values: 0.042 and 0.005, respectively; Table <xref rid="Tab2" ref-type="table">2</xref>).</p></sec><sec id="Sec18"><title>Genotyping and genetic analysis</title><p id="Par34">The TT genotype was the most prevalent genotype both among cases (84.81%) and controls (96.00%). Similarly, the CC genotype was the least prevalent genotype in both groups (cases: 3.80%, controls: 0.80%, Table <xref rid="Tab2" ref-type="table">2</xref>). In both groups, the alleles were in HWE (<italic>P</italic> value > 0.05, Table <xref rid="Tab3" ref-type="table">3</xref>). The distribution of TT, TC, CC genotypes as well as C carriers was not significantly different across three provinces, either in total, or separately among cases and controls (Table <xref rid="Tab3" ref-type="table">3</xref>).<table-wrap id="Tab3"><label>Table 3</label><caption><p><italic>IFITM3</italic> rs12252 genotype frequencies among mild flu cases and flu-negative controls, based on participants’ province of residence</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2"></th><th colspan="3">Genotype</th><th></th><th></th><th colspan="2">HWE</th></tr><tr><th>CC</th><th>TC</th><th>TT</th><th><italic>P</italic> value<sup>a</sup>*</th><th><italic>P</italic> value<sup>b</sup>*</th><th>X<sup>2</sup></th><th><italic>P</italic> value</th></tr></thead><tbody><tr><td>Total</td><td></td><td></td><td></td><td char="." align="char" rowspan="5">0.120</td><td char="." align="char" rowspan="5">0.926</td><td rowspan="5">–</td><td rowspan="5">–</td></tr><tr><td> Province</td><td></td><td></td><td></td></tr><tr><td> Zanjan</td><td>0</td><td>1</td><td>18</td></tr><tr><td> Semnan</td><td>1</td><td>11</td><td>115</td></tr><tr><td> Markazi</td><td>3</td><td>1</td><td>54</td></tr><tr><td>Cases</td><td></td><td></td><td></td><td></td><td></td><td>0.63</td><td>> 0.05</td></tr><tr><td> Province</td><td></td><td></td><td></td><td char="." align="char" rowspan="4">0.073</td><td char="." align="char" rowspan="4">0.099</td><td rowspan="4">–</td><td rowspan="4">–</td></tr><tr><td> Zanjan</td><td>0</td><td>0</td><td>10</td></tr><tr><td> Semnan</td><td>1</td><td>8</td><td>27</td></tr><tr><td> Markazi</td><td>2</td><td>1</td><td>30</td></tr><tr><td>Controls</td><td></td><td></td><td></td><td></td><td></td><td>0.03</td><td>> 0.05</td></tr><tr><td> Province</td><td></td><td></td><td></td><td char="." align="char" rowspan="4">0.185</td><td char="." align="char" rowspan="4">0.361</td><td rowspan="4">–</td><td rowspan="4">–</td></tr><tr><td> Zanjan</td><td>0</td><td>1</td><td>8</td></tr><tr><td> Semnan</td><td>0</td><td>3</td><td>88</td></tr><tr><td> Markazi</td><td>1</td><td>0</td><td>24</td></tr></tbody></table><table-wrap-foot><p><italic>HWE</italic> Hardy Weinberg Equilibrium</p><p>*Fisher’s exact test</p><p><sup>a</sup>Association analyses are performed based on codominant genetic model (CC, TC, and TT)</p><p><sup>b</sup>Association analyses are performed based on dominant genetic model (CT + CC vs. TT)</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec19"><title>Association of rs12252 polymorphisms, BMI, diabetes, and hypercholesterolemia with mild flu</title><p id="Par35">Results of the univariable logistic regression showed that having TC genotype rather than TT, significantly increased the risk of mild flu (OR: 4.03, <italic>P</italic> value: 0.025). The same effect, but with greater magnitude, was also observed for the CC genotype rather than the TT genotype, however, this effect was not statistically significant (OR: 5.37, <italic>P</italic> value: 0.149; Table <xref rid="Tab2" ref-type="table">2</xref>). In the final model, the effect of both TC and CC genotypes on the risk of mild flu showed an increase, but again this effect was only significant in the TC group. Furthermore, carriers of the rs12252 C allele (CT + CC genotypes) showed 5.92 folds increase in the risk of mild flu comparing to the T allele homozygotes (<italic>P</italic> value: 0.007). In the final model, the effect of BMI, diabetes, and hypercholesterolemia were no longer statistically significant (Table <xref rid="Tab4" ref-type="table">4</xref>). Details of multivariable regression process are presented in Additional file <xref rid="MOESM2" ref-type="media">2</xref>.<table-wrap id="Tab4"><label>Table 4</label><caption><p>Multivariable logistic regression of the association between <italic>IFITM3</italic> rs12252 polymorphisms and mild flu in an Iranian sample with Fars ethnic background</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Genotype</th><th>OR<sup>a</sup></th><th>95% CI</th><th><italic>P</italic> value</th></tr></thead><tbody><tr><td> CC</td><td>2.71</td><td>0.26, 28.57</td><td>0.406</td></tr><tr><td> CT</td><td>7.62</td><td>1.69, 34.39</td><td>0.008</td></tr><tr><td> CC + CT</td><td>5.92</td><td>1.59, 22.09</td><td>0.007</td></tr><tr><td> TT</td><td>1</td><td>–</td><td>–</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>ORs are adjusted for BMI and province of residence</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec20"><title>Discussion</title><p id="Par36">Advances in the genomic area have enlightened the role of genetic factors in susceptibility to various infectious diseases. In this regard, IFITM3 protein encoded by <italic>IFITM</italic> gene, have shown to be associated with susceptibility to several viral infections, such as West Nile virus, dengue virus, rhinovirus, corona virus, HIV, respiratory syncytial virus, and influenza A virus [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR28">28</xref>]. In case of influenza infection, however, it is not clear whether the reported association relates to the infection severity.</p><p id="Par37">In this study, we investigated the association between mild flu and <italic>IFITM3</italic> rs12252 variant, BMI, diabetes, and hypercholesterolemia in an Iranian population. Our results suggest a significant positive association between mild flu and rs12252 C allele heterozygous (CT) and carriage (CT + CC), but not between mild flu and C allele homozygous (CC), BMI, diabetes, and hypercholesterolemia.</p><p id="Par38">IFITM/ IFITM3 proteins are membrane-associated proteins, and directly interfere with the virus entry into the host’s cells [<xref ref-type="bibr" rid="CR20">20</xref>]. Since virus entry often proceeds through endocytosis, it is possible that IFITM proteins are involved in endocytosis, by detecting and eliminating viral invaders before establishment of infection [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR21">21</xref>]. Therefore, mutation in the gene coding for these proteins can lead to susceptibility to various infections. Yount, et al. (2010) introduced <italic>IFITM3</italic> in mouse dendritic cells. They mentioned S-palmitoylation of IFITM3 on proximal cysteines controls its clustering in membrane compartments and its antiviral activity against influenza virus. [<xref ref-type="bibr" rid="CR30">30</xref>]. Bailey and colleagues also found that IAV lung titers were higher in <italic>Ifitm3</italic> knockout mice versus wild-type animals [<xref ref-type="bibr" rid="CR2">2</xref>].</p><p id="Par39">The association of <italic>IFITM</italic> gene polymorphisms with mild and sever influenza has been investigated in different ethnicities. For example, Zhang, et al. pointed to the significant role of <italic>IFITM3</italic> genetic variants on the epidemiology of influenza among Chinese individuals [<xref ref-type="bibr" rid="CR31">31</xref>]. Yang, et al. found a significant association between <italic>IFITM3</italic>-SNP rs12252 and susceptibility to severe, but not mild flu, among Asian and Caucasian ethnicities [<xref ref-type="bibr" rid="CR29">29</xref>]. Conversely, Mills, et al. found evidence of an association between rs12252 C allele homozygotes and susceptibility to mild flu in patients with Caucasian ancestry, attending primary care, but could not confirm the association between this SNP and susceptibility to severe flu [<xref ref-type="bibr" rid="CR22">22</xref>]. Studies conducted by López-Rodríguez and Giao, et al. did not find evidence for the association between rs12252 C allele homozygotes and susceptibility to sever flu [<xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR19">19</xref>, <xref ref-type="bibr" rid="CR22">22</xref>].</p><p id="Par40">Based on the conclusion from the review paper of Ciancanelli et al. which mentioned IFITM3 SNP could not be a major causal factor, but perhaps a modifier, of the outcome of influenza infection [<xref ref-type="bibr" rid="CR6">6</xref>], we also concluded there is only convincing experimental evidence for the role of wild-type IFITM3 but further work is required to define the role of IFITM3 SNPs as modifiers for severe influenza. The inconsistent results reported by studies investigated the association between <italic>IFITM3</italic> SNP rs12252 and influenza, made Yang, et al. to conduct a systematic review. Their meta-analysis included 445 patients with influenza and 4180 controls from four studies, including different ethnic and severity subgroups. Their results showed that patients with the rs12252-C/C genotype were more likely to increase the susceptibility to severe but not in mild flu, in both UK Caucasians and Han Chinese [<xref ref-type="bibr" rid="CR29">29</xref>].</p><p id="Par41">Our results also showed that rs12252-C carriers have an increased risk of mild flu rather than patients with TT genotype. This may be explained as due to the differences in participants’ ethnic background, since we studied Iranian ethnicities while Yang, et al. focused on UK Caucasians and Han Chinese ethnicities. Although, the rs12252-C allele in the Iranian population was rare, the overall effect of this allele on the risk of influenza was found to be considerably high. As our sample size was small, the power for some of our estimates was not desirable. In case such findings being replicated by future studies, the knowledge can be used in effective management of the epidemics. For example, understanding the biological pathways leading to mild and severe flu may lead to improvement of therapeutic options, and can alter existing vaccination practices. Findings of large-scale studies on genetic susceptibility to influenza would also guide population-based prevention efforts. For example, by considering the genetic susceptibility of different sub-populations to influenza virus in a country, human and medical resources would be allocated to high risk areas in case epidemics/pandemics occur.</p><p id="Par42">The <italic>IFITM3</italic> allele frequency varies significantly among different ethnicities. For example, the frequency of rs12252 C allele homozygotes in Han Chinese, Japanese, Northern Europeans, and Englanders has been shown to vary greatly, from 0% among Japanese to 44% among Chinese populations (25, 44, 0 and 2%, respectively) [<xref ref-type="bibr" rid="CR16">16</xref>]. Little is known about the frequency of this genotype in Iran. In our study, the C allele frequency observed among flu-negative individuals was 2.40%, resembling the allele frequency among Englanders. Studies with larger sample sizes would provide a better understanding about the frequency of susceptibility alleles in Iran.</p><p id="Par43">In this study, we recruited our samples from three provinces of Northern-Central Iran, including Markazi, Semnan, and Zanjan provinces. Although all participants were of Iranian ethnicity, participants of each province might be different regarding their genetic and social history, leading to residual confounding due to population stratification. Population stratification is related to situations when cases and controls are of different ethnic backgrounds with different genetic compositions, and has been noted as the most important type of the bias in genetic association studies. To control for the effect of residual population admixture on our results, we adjusted genetic association between <italic>IFITM3</italic>-SNP rs12252 and susceptibility to mild flu for participants’ residence area. Growing empirical and theoretical evidence suggests that statistical adjustment for confounding effect of ethnicity provides estimates of genetic associations which are robust to bias from population stratification [<xref ref-type="bibr" rid="CR4">4</xref>].</p><p id="Par44">In our study, we did not observe a significant association between rs12252 C allele homozygote, BMI, diabetes, and hypercholesterolemia and mild flu. This might be due to relatively small sample size in our study, which led to moderate power of some parameter estimates. To verify these findings, further studies on the Iranian ethnicity with larger sample sizes are recommended.</p></sec><sec id="Sec21"><title>Conclusions</title><p id="Par45">To the best of our knowledge, this is the first study evaluating the association between IFITM3 rs12252 polymorphism, diabetes, hypercholesterolemia and BMI with susceptibility to mild flu in an Iranian sample. Our results suggest a significant positive association between mild flu and rs12252 C allele heterozygous and carriage. However, we did not observe an association between mild flu and rs12252 C allele homozygous, BMI, diabetes, and hypercholesterolemia. Further studies are recommended to verify these findings in a larger sample of Iranian individuals. Future replication of the strong association observed here between rs12252 C allele carriage and mild flu would be beneficial in candidating this polymorphism as a genetic marker for early screening of susceptibility to mild flu.</p></sec><sec sec-type="supplementary-material"><title>Additional files</title><sec id="Sec22"><p><supplementary-material content-type="local-data" id="MOESM1"><media xlink:href="12985_2017_884_MOESM1_ESM.docx"><label>Additional file 1:</label><caption><p>Multivariable logistic regression of the association between <italic>IFITM3</italic> rs12252 polymorphisms and mild flu in an Iranian sample with Fars ethnic background: Intermediate results. (DOCX 16 kb)</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="MOESM2"><media xlink:href="12985_2017_884_MOESM2_ESM.docx"><label>Additional file 2:</label><caption><p>Univariable and multivariable logistic regression of the association between mild flu and <italic>IFITM3</italic> rs12252 polymorphisms, BMI, diabetes, and hypercholesterolemia in an Iranian sample with Fars ethnic background: observed powers. (DOCX 20 kb)</p></caption></media></supplementary-material></p></sec></sec></body><back><glossary><title>Abbreviations</title><def-list><def-item><term>IAV</term><def><p id="Par6">Influenza A virus</p></def></def-item><def-item><term>IFITM</term><def><p id="Par7">Interferon-inducible transmembrane</p></def></def-item><def-item><term>ISGs</term><def><p id="Par8">Interferon stimulated genes</p></def></def-item><def-item><term>PRRs</term><def><p id="Par9">Pathogen recognition receptors</p></def></def-item><def-item><term>qRT-PCR</term><def><p id="Par10">Quantitative real-time PCR</p></def></def-item><def-item><term>SARS</term><def><p id="Par11">Severe acute respiratory syndrome</p></def></def-item><def-item><term>WHO</term><def><p id="Par12">World Health Organization</p></def></def-item></def-list></glossary><fn-group><fn><p><bold>Electronic supplementary material</bold></p><p>The online version of this article (10.1186/s12985-017-0884-4) contains supplementary material, which is available to authorized users.</p></fn></fn-group><ack><title>Acknowledgements</title><p>The authors would like to thank Dr. Amin Doosti Irani for his valuable consultation in statistical analysis.</p><sec id="FPar1"><title>Funding</title><p id="Par46">This study was funded by National Elites Foundation, Iran (grant number 831).</p></sec><sec id="FPar2"><title>Availability of data and materials</title><p id="Par47">All data in case of need are available.</p></sec></ack><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>Conceived and designed the experiments: BF and PM; performed the experiments: PM, HSh, and VM; Analyzed the data: SE, PM, and VM; Contributed reagents/materials/analysis tools: FF and BF; Wrote the paper: PM and SE; Comprehensive reading the manuscript: all authors. All authors read and approved the final manuscript.</p></notes><notes notes-type="COI-statement"><sec id="FPar3"><title>Ethics approval</title><p id="Par48">Clinical investigation was conducted according to the principles expressed in the Declaration of Pasteur Institute of IRAN. This research was reviewed and approved by the Ethics Committee of Pasteur Institute of IRAN (Protocol Number IR.PII.REC.1395.3).</p></sec><sec id="FPar4"><title>Consent for publication</title><p id="Par49">Written informed consent was obtained from the patients or the guardians of the patients participated in this research.</p></sec><sec id="FPar5"><title>Competing interests</title><p id="Par50">Authors (Parvaneh Mehrbod, Sana Eybpoosh, Fatemeh Fotouhi, Hadis Shokouhi, Vahideh Mazaheri, Behrokh Farahmand) declare that they have no conflicts of interest.</p></sec><sec id="FPar6"><title>Publisher’s Note</title><p id="Par51">Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></sec></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Amini-Bavil-Olyaee</surname><given-names>S</given-names></name><name><surname>Choi</surname><given-names>YJ</given-names></name><name><surname>Lee</surname><given-names>JH</given-names></name><name><surname>Shi</surname><given-names>M</given-names></name><name><surname>Huang</surname><given-names>IC</given-names></name><name><surname>Farzan</surname><given-names>M</given-names></name><name><surname>Jung</surname><given-names>JU</given-names></name></person-group><article-title>The antiviral effector IFITM3 disrupts intracellular cholesterol homeostasis to block viral entry</article-title><source>Cell Host Microbe</source><year>2013</year><volume>13</volume><fpage>452</fpage><lpage>464</lpage><pub-id pub-id-type="doi">10.1016/j.chom.2013.03.006</pub-id><pub-id pub-id-type="pmid">23601107</pub-id></element-citation></ref><ref id="CR2"><label>2.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bailey</surname><given-names>CC</given-names></name><name><surname>Huang</surname><given-names>IC</given-names></name><name><surname>Kam</surname><given-names>C</given-names></name><name><surname>Farzan</surname><given-names>M</given-names></name></person-group><article-title>IFITM3 limits the severity of acute influenza in mice</article-title><source>PLoS Pathog</source><year>2012</year><volume>8</volume><fpage>e1002909</fpage><pub-id pub-id-type="doi">10.1371/journal.ppat.1002909</pub-id><pub-id pub-id-type="pmid">22969429</pub-id></element-citation></ref><ref id="CR3"><label>3.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brass</surname><given-names>AL</given-names></name><name><surname>Huang</surname><given-names>IC</given-names></name><name><surname>Benita</surname><given-names>Y</given-names></name><name><surname>John</surname><given-names>SP</given-names></name><name><surname>Krishnan</surname><given-names>MN</given-names></name><name><surname>Feeley</surname><given-names>EM</given-names></name><name><surname>Ryan</surname><given-names>B</given-names></name><name><surname>Weyer</surname><given-names>JL</given-names></name><name><surname>van der Weyden</surname><given-names>L</given-names></name><name><surname>Fikrig</surname><given-names>E</given-names></name><etal></etal></person-group><article-title>IFITM proteins mediate the innate immune response to influenza a H1N1 virus, West Nile virus and dengue virus</article-title><source>Cell</source><year>2009</year><volume>139</volume><fpage>1243</fpage><lpage>1254</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2009.12.017</pub-id><pub-id pub-id-type="pmid">20064371</pub-id></element-citation></ref><ref id="CR4"><label>4.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cardon</surname><given-names>LR</given-names></name><name><surname>Palmer</surname><given-names>LJ</given-names></name></person-group><article-title>Population stratification and spurious allelic association</article-title><source>Lancet</source><year>2003</year><volume>361</volume><fpage>598</fpage><lpage>604</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(03)12520-2</pub-id><pub-id pub-id-type="pmid">12598158</pub-id></element-citation></ref><ref id="CR5"><label>5.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chutiwitoonchai</surname><given-names>N</given-names></name><name><surname>Hiyoshi</surname><given-names>M</given-names></name><name><surname>Hiyoshi-Yoshidomi</surname><given-names>Y</given-names></name><name><surname>Hashimoto</surname><given-names>M</given-names></name><name><surname>Tokunaga</surname><given-names>K</given-names></name><name><surname>Suzu</surname><given-names>S</given-names></name></person-group><article-title>Characteristics of IFITM, the newly identified IFN-inducible anti-HIV-1 family proteins</article-title><source>Microbes Infect</source><year>2013</year><volume>15</volume><fpage>280</fpage><lpage>290</lpage><pub-id pub-id-type="doi">10.1016/j.micinf.2012.12.003</pub-id><pub-id pub-id-type="pmid">23376165</pub-id></element-citation></ref><ref id="CR6"><label>6.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ciancanelli</surname><given-names>MJ</given-names></name><name><surname>Abel</surname><given-names>L</given-names></name><name><surname>Zhang</surname><given-names>SY</given-names></name><name><surname>Casanova</surname><given-names>JL</given-names></name></person-group><article-title>Host genetics of severe influenza: from mouse Mx1 to human IRF7</article-title><source>Curr Opin Immunol</source><year>2016</year><volume>38</volume><fpage>109</fpage><lpage>120</lpage><pub-id pub-id-type="doi">10.1016/j.coi.2015.12.002</pub-id><pub-id pub-id-type="pmid">26761402</pub-id></element-citation></ref><ref id="CR7"><label>7.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Compton</surname><given-names>AA</given-names></name><name><surname>Roy</surname><given-names>N</given-names></name><name><surname>Porrot</surname><given-names>F</given-names></name><name><surname>Billet</surname><given-names>A</given-names></name><name><surname>Casartelli</surname><given-names>N</given-names></name><name><surname>Yount</surname><given-names>JS</given-names></name><name><surname>Liang</surname><given-names>C</given-names></name><name><surname>Schwartz</surname><given-names>O</given-names></name></person-group><article-title>Natural mutations in IFITM3 modulate post-translational regulation and toggle antiviral specificity</article-title><source>EMBO Rep</source><year>2016</year><volume>17</volume><fpage>1657</fpage><lpage>1671</lpage><pub-id pub-id-type="doi">10.15252/embr.201642771</pub-id><pub-id pub-id-type="pmid">27601221</pub-id></element-citation></ref><ref id="CR8"><label>8.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cui</surname><given-names>Q</given-names></name><name><surname>Ju</surname><given-names>X</given-names></name><name><surname>Yang</surname><given-names>T</given-names></name><name><surname>Zhang</surname><given-names>M</given-names></name><name><surname>Tang</surname><given-names>W</given-names></name><name><surname>Chen</surname><given-names>Q</given-names></name><name><surname>Hu</surname><given-names>Y</given-names></name><name><surname>Haas</surname><given-names>JV</given-names></name><name><surname>Troutt</surname><given-names>JS</given-names></name><name><surname>Pickard</surname><given-names>RT</given-names></name><etal></etal></person-group><article-title>Serum PCSK9 is associated with multiple metabolic factors in a large Han Chinese population</article-title><source>Atherosclerosis</source><year>2010</year><volume>213</volume><fpage>632</fpage><lpage>636</lpage><pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2010.09.027</pub-id><pub-id pub-id-type="pmid">21040917</pub-id></element-citation></ref><ref id="CR9"><label>9.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Everitt</surname><given-names>AR</given-names></name><name><surname>Clare</surname><given-names>S</given-names></name><name><surname>Pertel</surname><given-names>T</given-names></name><name><surname>John</surname><given-names>SP</given-names></name><name><surname>Wash</surname><given-names>RS</given-names></name><name><surname>Smith</surname><given-names>SE</given-names></name><name><surname>Chin</surname><given-names>CR</given-names></name><name><surname>Feeley</surname><given-names>EM</given-names></name><name><surname>Sims</surname><given-names>JS</given-names></name><name><surname>Adams</surname><given-names>DJ</given-names></name><etal></etal></person-group><article-title>IFITM3 restricts the morbidity and mortality associated with influenza</article-title><source>Nature</source><year>2012</year><volume>484</volume><fpage>519</fpage><lpage>523</lpage><pub-id pub-id-type="doi">10.1038/nature10921</pub-id><pub-id pub-id-type="pmid">22446628</pub-id></element-citation></ref><ref id="CR10"><label>10.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Feeley</surname><given-names>EM</given-names></name><name><surname>Sims</surname><given-names>JS</given-names></name><name><surname>John</surname><given-names>SP</given-names></name><name><surname>Chin</surname><given-names>CR</given-names></name><name><surname>Pertel</surname><given-names>T</given-names></name></person-group><article-title>Chen L-i, Gaiha GD, Ryan BJ, Donis RO, Elledge SJ, et al. IFITM3 inhibits influenza a virus infection by preventing cytosolic entry</article-title><source>PLoS Pathog</source><year>2011</year><volume>7</volume><fpage>e1002337</fpage><pub-id pub-id-type="doi">10.1371/journal.ppat.1002337</pub-id><pub-id pub-id-type="pmid">22046135</pub-id></element-citation></ref><ref id="CR11"><label>11.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gaio</surname><given-names>V</given-names></name><name><surname>Nunes</surname><given-names>B</given-names></name><name><surname>Pechirra</surname><given-names>P</given-names></name><name><surname>Conde</surname><given-names>P</given-names></name><name><surname>Guiomar</surname><given-names>R</given-names></name><name><surname>Dias</surname><given-names>CM</given-names></name><name><surname>Barreto</surname><given-names>M</given-names></name></person-group><article-title>Hospitalization risk due to respiratory illness associated with genetic variation at IFITM3 in patients with influenza a(H1N1)pdm09 infection: a case-control study</article-title><source>PLoS One</source><year>2016</year><volume>11</volume><fpage>e0158181</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0158181</pub-id><pub-id pub-id-type="pmid">27351739</pub-id></element-citation></ref><ref id="CR12"><label>12.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>He</surname><given-names>J</given-names></name><name><surname>Gu</surname><given-names>D</given-names></name><name><surname>Wu</surname><given-names>X</given-names></name><name><surname>Reynolds</surname><given-names>K</given-names></name><name><surname>Duan</surname><given-names>X</given-names></name><name><surname>Yao</surname><given-names>C</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Chen</surname><given-names>CS</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><name><surname>Wildman</surname><given-names>RP</given-names></name><etal></etal></person-group><article-title>Major causes of death among men and women in China</article-title><source>New Engl J Med</source><year>2005</year><volume>353</volume><fpage>1124</fpage><lpage>1134</lpage><pub-id pub-id-type="doi">10.1056/NEJMsa050467</pub-id><pub-id pub-id-type="pmid">16162883</pub-id></element-citation></ref><ref id="CR13"><label>13.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Horby</surname><given-names>P</given-names></name><name><surname>Nguyen</surname><given-names>NY</given-names></name><name><surname>Dunstan</surname><given-names>SJ</given-names></name><name><surname>Baillie</surname><given-names>JK</given-names></name></person-group><article-title>The role of host genetics in susceptibility to influenza: a systematic review</article-title><source>PLoS One</source><year>2012</year><volume>7</volume><fpage>e33180</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0033180</pub-id><pub-id pub-id-type="pmid">22438897</pub-id></element-citation></ref><ref id="CR14"><label>14.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>IC</given-names></name><name><surname>Bailey</surname><given-names>CC</given-names></name><name><surname>Weyer</surname><given-names>JL</given-names></name><name><surname>Radoshitzky</surname><given-names>SR</given-names></name><name><surname>Becker</surname><given-names>MM</given-names></name><name><surname>Chiang</surname><given-names>JJ</given-names></name><name><surname>Brass</surname><given-names>AL</given-names></name><name><surname>Ahmed</surname><given-names>AA</given-names></name><name><surname>Chi</surname><given-names>X</given-names></name><name><surname>Dong</surname><given-names>L</given-names></name><etal></etal></person-group><article-title>Distinct patterns of IFITM-mediated restriction of filoviruses, SARS coronavirus, and influenza a virus</article-title><source>PLoS Pathog</source><year>2011</year><volume>7</volume><fpage>e1001258</fpage><pub-id pub-id-type="doi">10.1371/journal.ppat.1001258</pub-id><pub-id pub-id-type="pmid">21253575</pub-id></element-citation></ref><ref id="CR15"><label>15.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jiang</surname><given-names>D</given-names></name><name><surname>Weidner</surname><given-names>JM</given-names></name><name><surname>Qing</surname><given-names>M</given-names></name><name><surname>Pan</surname><given-names>XB</given-names></name><name><surname>Guo</surname><given-names>H</given-names></name><name><surname>Xu</surname><given-names>C</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Birk</surname><given-names>A</given-names></name><name><surname>Chang</surname><given-names>J</given-names></name><name><surname>Shi</surname><given-names>PY</given-names></name><etal></etal></person-group><article-title>Identification of five interferon-induced cellular proteins that inhibit West Nile virus and dengue virus infections</article-title><source>J Virol</source><year>2010</year><volume>84</volume><fpage>8332</fpage><lpage>8341</lpage><pub-id pub-id-type="doi">10.1128/JVI.02199-09</pub-id><pub-id pub-id-type="pmid">20534863</pub-id></element-citation></ref><ref id="CR16"><label>16.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kiselev</surname><given-names>OI</given-names></name><name><surname>Komissarov</surname><given-names>AB</given-names></name><name><surname>Konshina</surname><given-names>OS</given-names></name><name><surname>Dmitrieva</surname><given-names>MN</given-names></name><name><surname>Deyeva</surname><given-names>EG</given-names></name><name><surname>Sologub</surname><given-names>TV</given-names></name><name><surname>Pokrovskiy</surname><given-names>VI</given-names></name></person-group><article-title>Mutations in human genes that increase the risk for severe influenza infection microb independent</article-title><source>Res J</source><year>2015</year><volume>2</volume><fpage>10</fpage><lpage>18</lpage></element-citation></ref><ref id="CR17"><label>17.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Konig</surname><given-names>R</given-names></name><name><surname>Stertz</surname><given-names>S</given-names></name><name><surname>Zhou</surname><given-names>Y</given-names></name><name><surname>Inoue</surname><given-names>A</given-names></name><name><surname>Hoffmann</surname><given-names>HH</given-names></name><name><surname>Bhattacharyya</surname><given-names>S</given-names></name><name><surname>Alamares</surname><given-names>JG</given-names></name><name><surname>Tscherne</surname><given-names>DM</given-names></name><name><surname>Ortigoza</surname><given-names>MB</given-names></name><name><surname>Liang</surname><given-names>Y</given-names></name><etal></etal></person-group><article-title>Human host factors required for influenza virus replication</article-title><source>Nature</source><year>2010</year><volume>463</volume><fpage>813</fpage><lpage>817</lpage><pub-id pub-id-type="doi">10.1038/nature08699</pub-id><pub-id pub-id-type="pmid">20027183</pub-id></element-citation></ref><ref id="CR18"><label>18.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lander</surname><given-names>ES</given-names></name></person-group><article-title>Initial impact of the sequencing of the human genome</article-title><source>Nature</source><year>2011</year><volume>470</volume><fpage>187</fpage><lpage>197</lpage><pub-id pub-id-type="doi">10.1038/nature09792</pub-id><pub-id pub-id-type="pmid">21307931</pub-id></element-citation></ref><ref id="CR19"><label>19.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>López-Rodríguez</surname><given-names>M</given-names></name><name><surname>Herrera-Ramos</surname><given-names>E</given-names></name><name><surname>Solé-Violán</surname><given-names>J</given-names></name><name><surname>Ruíz-Hernández</surname><given-names>JJ</given-names></name><name><surname>Borderías</surname><given-names>L</given-names></name><name><surname>Horcajada</surname><given-names>JP</given-names></name><name><surname>Lerma-Chippirraz</surname><given-names>E</given-names></name><name><surname>Rajas</surname><given-names>O</given-names></name><name><surname>Briones</surname><given-names>M</given-names></name><name><surname>Pérez-González</surname><given-names>MC</given-names></name><etal></etal></person-group><article-title>IFITM3 and severe influenza virus infection. No evidence of genetic association</article-title><source>Eur J Clin Microbiol Infect Dis</source><year>2016</year><volume>35</volume><fpage>1811</fpage><lpage>1817</lpage><pub-id pub-id-type="doi">10.1007/s10096-016-2732-7</pub-id><pub-id pub-id-type="pmid">27492307</pub-id></element-citation></ref><ref id="CR20"><label>20.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname><given-names>J</given-names></name><name><surname>Pan</surname><given-names>Q</given-names></name><name><surname>Rong</surname><given-names>L</given-names></name><name><surname>He</surname><given-names>W</given-names></name><name><surname>Liu</surname><given-names>SL</given-names></name><name><surname>Liang</surname><given-names>C</given-names></name></person-group><article-title>The IFITM proteins inhibit HIV-1 infection</article-title><source>J Virol</source><year>2011</year><volume>85</volume><fpage>2126</fpage><lpage>2137</lpage><pub-id pub-id-type="doi">10.1128/JVI.01531-10</pub-id><pub-id pub-id-type="pmid">21177806</pub-id></element-citation></ref><ref id="CR21"><label>21.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mercer</surname><given-names>J</given-names></name><name><surname>Schelhaas</surname><given-names>M</given-names></name><name><surname>Helenius</surname><given-names>A</given-names></name></person-group><article-title>Virus entry by endocytosis</article-title><source>Annu Rev Biochem</source><year>2010</year><volume>79</volume><fpage>803</fpage><lpage>833</lpage><pub-id pub-id-type="doi">10.1146/annurev-biochem-060208-104626</pub-id><pub-id pub-id-type="pmid">20196649</pub-id></element-citation></ref><ref id="CR22"><label>22.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mills</surname><given-names>T</given-names></name><name><surname>Rautanen</surname><given-names>A</given-names></name><name><surname>Elliott</surname><given-names>KS</given-names></name><name><surname>Parks</surname><given-names>T</given-names></name><name><surname>Naranbhai</surname><given-names>V</given-names></name><name><surname>Ieven</surname><given-names>MM</given-names></name><name><surname>Butler</surname><given-names>CC</given-names></name><name><surname>Little</surname><given-names>P</given-names></name><name><surname>Verheij</surname><given-names>T</given-names></name><name><surname>Garrard</surname><given-names>CS</given-names></name><etal></etal></person-group><article-title>IFITM3 and susceptibility to respiratory viral infections in the community</article-title><source>J Infect Dis</source><year>2014</year><volume>209</volume><fpage>1028</fpage><lpage>1031</lpage><pub-id pub-id-type="doi">10.1093/infdis/jit468</pub-id><pub-id pub-id-type="pmid">23997235</pub-id></element-citation></ref><ref id="CR23"><label>23.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Niu</surname><given-names>N</given-names></name><name><surname>Zhu</surname><given-names>X</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Du</surname><given-names>T</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Chen</surname><given-names>D</given-names></name><name><surname>Sun</surname><given-names>B</given-names></name><name><surname>Gu</surname><given-names>HF</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name></person-group><article-title>Single nucleotide polymorphisms in the proximal promoter region of apolipoprotein M gene (apoM) confer the susceptibility to development of type 2 diabetes in Han Chinese</article-title><source>Diabetes Metab Res Rev</source><year>2007</year><volume>23</volume><fpage>21</fpage><lpage>25</lpage><pub-id pub-id-type="doi">10.1002/dmrr.641</pub-id><pub-id pub-id-type="pmid">16572495</pub-id></element-citation></ref><ref id="CR24"><label>24.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>S</given-names></name><name><surname>Gaunt</surname><given-names>TR</given-names></name><name><surname>Day</surname><given-names>INM</given-names></name></person-group><article-title>Hardy-weinberg equilibrium testing of biological ascertainment for mendelian randomization studies</article-title><source>Am J Epidemiol</source><year>2009</year><volume>169</volume><fpage>505</fpage><lpage>514</lpage><pub-id pub-id-type="doi">10.1093/aje/kwn359</pub-id><pub-id pub-id-type="pmid">19126586</pub-id></element-citation></ref><ref id="CR25"><label>25.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sadler</surname><given-names>AJ</given-names></name><name><surname>Williams</surname><given-names>BRG</given-names></name></person-group><article-title>Interferon-inducible antiviral effectors</article-title><source>Nature Rev Immunol</source><year>2008</year><volume>8</volume><fpage>559</fpage><lpage>568</lpage><pub-id pub-id-type="doi">10.1038/nri2314</pub-id><pub-id pub-id-type="pmid">18575461</pub-id></element-citation></ref><ref id="CR26"><label>26.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schoggins</surname><given-names>JW</given-names></name><name><surname>Wilson</surname><given-names>SJ</given-names></name><name><surname>Panis</surname><given-names>M</given-names></name><name><surname>Murphy</surname><given-names>MY</given-names></name><name><surname>Jones</surname><given-names>CT</given-names></name><name><surname>Bieniasz</surname><given-names>P</given-names></name><name><surname>Rice</surname><given-names>CM</given-names></name></person-group><article-title>A diverse range of gene products are effectors of the type I interferon antiviral response</article-title><source>Nature</source><year>2011</year><volume>472</volume><fpage>481</fpage><lpage>485</lpage><pub-id pub-id-type="doi">10.1038/nature09907</pub-id><pub-id pub-id-type="pmid">21478870</pub-id></element-citation></ref><ref id="CR27"><label>27.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Zhang</surname><given-names>A</given-names></name><name><surname>Wan</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Qiu</surname><given-names>C</given-names></name><name><surname>Xi</surname><given-names>X</given-names></name><name><surname>Ren</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Dong</surname><given-names>Y</given-names></name><name><surname>Bao</surname><given-names>M</given-names></name><etal></etal></person-group><article-title>Early hypercytokinemia is associated with interferon-induced transmembrane protein-3 dysfunction and predictive of fatal H7N9 infection</article-title><source>P Natl Acad Sci USA</source><year>2014</year><volume>111</volume><fpage>769</fpage><lpage>774</lpage><pub-id pub-id-type="doi">10.1073/pnas.1321748111</pub-id></element-citation></ref><ref id="CR28"><label>28.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Weidner</surname><given-names>JM</given-names></name><name><surname>Jiang</surname><given-names>D</given-names></name><name><surname>Pan</surname><given-names>XB</given-names></name><name><surname>Chang</surname><given-names>J</given-names></name><name><surname>Block</surname><given-names>TM</given-names></name><name><surname>Guo</surname><given-names>JT</given-names></name></person-group><article-title>Interferon-induced cell membrane proteins, IFITM3 and Tetherin, inhibit vesicular stomatitis virus infection via distinct mechanisms</article-title><source>J Virol</source><year>2010</year><volume>84</volume><fpage>12646</fpage><lpage>12657</lpage><pub-id pub-id-type="doi">10.1128/JVI.01328-10</pub-id><pub-id pub-id-type="pmid">20943977</pub-id></element-citation></ref><ref id="CR29"><label>29.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>X</given-names></name><name><surname>Tan</surname><given-names>B</given-names></name><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Xue</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Wang</surname><given-names>P</given-names></name><name><surname>Shao</surname><given-names>C</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Xia</surname><given-names>H</given-names></name><etal></etal></person-group><article-title>Interferon-inducible Transmembrane protein 3 genetic variant rs12252 and influenza susceptibility and severity: a meta-analysis</article-title><source>PLoS One</source><year>2015</year><volume>10</volume><fpage>e0124985</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0124985</pub-id><pub-id pub-id-type="pmid">25942469</pub-id></element-citation></ref><ref id="CR30"><label>30.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yount</surname><given-names>JS</given-names></name><name><surname>Moltedo</surname><given-names>B</given-names></name><name><surname>Yang</surname><given-names>Y-Y</given-names></name><name><surname>Charron</surname><given-names>G</given-names></name><name><surname>Moran</surname><given-names>TM</given-names></name><name><surname>López</surname><given-names>CB</given-names></name><name><surname>Hang</surname><given-names>HC</given-names></name></person-group><article-title>Palmitoylome profiling reveals S-palmitoylation-dependent antiviral activity of IFITM3</article-title><source>Nat Chem Biol</source><year>2010</year><volume>6</volume><fpage>610</fpage><lpage>614</lpage><pub-id pub-id-type="doi">10.1038/nchembio.405</pub-id><pub-id pub-id-type="pmid">20601941</pub-id></element-citation></ref><ref id="CR31"><label>31.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>YH</given-names></name><name><surname>Zhao</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>N</given-names></name><name><surname>Peng</surname><given-names>YC</given-names></name><name><surname>Giannoulatou</surname><given-names>E</given-names></name><name><surname>Jin</surname><given-names>RH</given-names></name><name><surname>Yan</surname><given-names>HP</given-names></name><name><surname>Wu</surname><given-names>H</given-names></name><name><surname>Liu</surname><given-names>JH</given-names></name><name><surname>Liu</surname><given-names>N</given-names></name><etal></etal></person-group><article-title>Interferon-induced transmembrane protein-3 genetic variant rs12252-C is associated with severe influenza in Chinese individuals</article-title><source>Nat Commun</source><year>2013</year><volume>4</volume><fpage>1418</fpage><pub-id pub-id-type="doi">10.1038/ncomms2433</pub-id><pub-id pub-id-type="pmid">23361009</pub-id></element-citation></ref></ref-list></back></pmc></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/CovidV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000166 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000166 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= CovidV1
|flux= Pmc
|étape= Corpus
|type= RBID
|clé=
|texte=
}}
| This area was generated with Dilib version V0.6.33. |  |