MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms.
Identifieur interne : 001052 ( PubMed/Curation ); précédent : 001051; suivant : 001053MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms.
Auteurs : Florian Rohart [Australie] ; Aida Eslami [Canada] ; Nicholas Matigian [Australie] ; Stéphanie Bougeard [France] ; Kim-Anh Lê Cao [Australie]Source :
- BMC bioinformatics [ 1471-2105 ] ; 2017.
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Abstract
Molecular signatures identified from high-throughput transcriptomic studies often have poor reliability and fail to reproduce across studies. One solution is to combine independent studies into a single integrative analysis, additionally increasing sample size. However, the different protocols and technological platforms across transcriptomic studies produce unwanted systematic variation that strongly confounds the integrative analysis results. When studies aim to discriminate an outcome of interest, the common approach is a sequential two-step procedure; unwanted systematic variation removal techniques are applied prior to classification methods.
DOI: 10.1186/s12859-017-1553-8
PubMed: 28241739
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British Columbia, Vancouver, BC V6Z 1Y6, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC V6Z 1Y6</wicri:regionArea></affiliation></author><author><name sortKey="Matigian, Nicholas" sort="Matigian, Nicholas" uniqKey="Matigian N" first="Nicholas" last="Matigian">Nicholas Matigian</name><affiliation wicri:level="1"><nlm:affiliation>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD</wicri:regionArea></affiliation></author><author><name sortKey="Bougeard, Stephanie" sort="Bougeard, Stephanie" uniqKey="Bougeard S" first="Stéphanie" last="Bougeard">Stéphanie 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Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD</wicri:regionArea></affiliation></author><author><name sortKey="Eslami, Aida" sort="Eslami, Aida" uniqKey="Eslami A" first="Aida" last="Eslami">Aida Eslami</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC V6Z 1Y6, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC V6Z 1Y6</wicri:regionArea></affiliation></author><author><name sortKey="Matigian, Nicholas" sort="Matigian, Nicholas" uniqKey="Matigian N" first="Nicholas" last="Matigian">Nicholas Matigian</name><affiliation wicri:level="1"><nlm:affiliation>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD</wicri:regionArea></affiliation></author><author><name sortKey="Bougeard, Stephanie" sort="Bougeard, Stephanie" uniqKey="Bougeard S" first="Stéphanie" last="Bougeard">Stéphanie Bougeard</name><affiliation wicri:level="1"><nlm:affiliation>French agency for food, environmental and occupational health safety (Anses), Department of Epidemiology, Ploufragan, 22440, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>French agency for food, environmental and occupational health safety (Anses), Department of Epidemiology, Ploufragan, 22440</wicri:regionArea></affiliation></author><author><name sortKey="Le Cao, Kim Anh" sort="Le Cao, Kim Anh" uniqKey="Le Cao K" first="Kim-Anh" last="Lê Cao">Kim-Anh Lê Cao</name><affiliation wicri:level="1"><nlm:affiliation>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia. k.lecao@uq.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD</wicri:regionArea></affiliation></author></analytic><series><title level="j">BMC bioinformatics</title><idno type="eISSN">1471-2105</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Gene Expression Profiling</term><term>Humans</term><term>Multivariate Analysis</term><term>Reproducibility of Results</term><term>Sample Size</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term><term>Analyse multivariée</term><term>Humains</term><term>Reproductibilité des résultats</term><term>Taille d'échantillon</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Gene Expression Profiling</term><term>Humans</term><term>Multivariate Analysis</term><term>Reproducibility of Results</term><term>Sample Size</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term><term>Analyse multivariée</term><term>Humains</term><term>Reproductibilité des résultats</term><term>Taille d'échantillon</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Molecular signatures identified from high-throughput transcriptomic studies often have poor reliability and fail to reproduce across studies. One solution is to combine independent studies into a single integrative analysis, additionally increasing sample size. However, the different protocols and technological platforms across transcriptomic studies produce unwanted systematic variation that strongly confounds the integrative analysis results. When studies aim to discriminate an outcome of interest, the common approach is a sequential two-step procedure; unwanted systematic variation removal techniques are applied prior to classification methods.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28241739</PMID><DateCreated><Year>2017</Year><Month>02</Month><Day>28</Day></DateCreated><DateCompleted><Year>2017</Year><Month>08</Month><Day>28</Day></DateCompleted><DateRevised><Year>2017</Year><Month>08</Month><Day>28</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2105</ISSN><JournalIssue CitedMedium="Internet"><Volume>18</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>Feb</Month><Day>27</Day></PubDate></JournalIssue><Title>BMC bioinformatics</Title><ISOAbbreviation>BMC Bioinformatics</ISOAbbreviation></Journal><ArticleTitle>MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms.</ArticleTitle><Pagination><MedlinePgn>128</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12859-017-1553-8</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Molecular signatures identified from high-throughput transcriptomic studies often have poor reliability and fail to reproduce across studies. One solution is to combine independent studies into a single integrative analysis, additionally increasing sample size. However, the different protocols and technological platforms across transcriptomic studies produce unwanted systematic variation that strongly confounds the integrative analysis results. When studies aim to discriminate an outcome of interest, the common approach is a sequential two-step procedure; unwanted systematic variation removal techniques are applied prior to classification methods.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">To limit the risk of overfitting and over-optimistic results of a two-step procedure, we developed a novel multivariate integration method, MINT, that simultaneously accounts for unwanted systematic variation and identifies predictive gene signatures with greater reproducibility and accuracy. In two biological examples on the classification of three human cell types and four subtypes of breast cancer, we combined high-dimensional microarray and RNA-seq data sets and MINT identified highly reproducible and relevant gene signatures predictive of a given phenotype. MINT led to superior classification and prediction accuracy compared to the existing sequential two-step procedures.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">MINT is a powerful approach and the first of its kind to solve the integrative classification framework in a single step by combining multiple independent studies. MINT is computationally fast as part of the mixOmics R CRAN package, available at http://www.mixOmics.org/mixMINT/ and http://cran.r-project.org/web/packages/mixOmics/ .</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rohart</LastName><ForeName>Florian</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Eslami</LastName><ForeName>Aida</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC V6Z 1Y6, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Matigian</LastName><ForeName>Nicholas</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bougeard</LastName><ForeName>Stéphanie</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>French agency for food, environmental and occupational health safety (Anses), Department of Epidemiology, Ploufragan, 22440, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lê Cao</LastName><ForeName>Kim-Anh</ForeName><Initials>KA</Initials><AffiliationInfo><Affiliation>The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, 4102, QLD, Australia. k.lecao@uq.edu.au.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>02</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Bioinformatics</MedlineTA><NlmUniqueID>100965194</NlmUniqueID><ISSNLinking>1471-2105</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Stem Cells Dev. 2012 Jan 20;21(2):206-16</RefSource><PMID Version="1">21506733</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Oncogenesis. 2015 Jul 27;4:e161</RefSource><PMID Version="1">26214578</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell Stem Cell. 2008 Sep 11;3(3):340-5</RefSource><PMID Version="1">18786420</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Stem Cells Transl Med. 2012 Sep;1(9):641-50</RefSource><PMID Version="1">23197870</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Bioinformatics. 2011 Jun 22;12:253</RefSource><PMID Version="1">21693065</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PeerJ. 2016 Mar 24;4:e1845</RefSource><PMID Version="1">27042394</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 1990 Mar 29;344(6265):435-9</RefSource><PMID Version="1">1690859</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Med Genomics. 2008 Sep 21;1:42</RefSource><PMID Version="1">18803878</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Hepatology. 2010 Jan;51(1):297-305</RefSource><PMID Version="1">19998274</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 2009 Jan 15;457(7227):277-80</RefSource><PMID Version="1">19098894</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Clin Oncol. 2009 Mar 10;27(8):1160-7</RefSource><PMID Version="1">19204204</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Genomics. 2014 Apr;103(4):239-51</RefSource><PMID Version="1">24667244</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Genomics. 2015 Jul 07;16:501</RefSource><PMID Version="1">26148557</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Eur J Hum Genet. 2015 Jul;23(7):949-56</RefSource><PMID Version="1">25370037</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Biotechnol. 2014 Sep;32(9):903-14</RefSource><PMID Version="1">25150838</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Biostatistics. 2012 Jul;13(3):539-52</RefSource><PMID Version="1">22101192</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Endocr Relat Cancer. 2015 Jun;22(3):465-79</RefSource><PMID Version="1">25900183</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Biotechnol. 2006 Sep;24(9):1151-61</RefSource><PMID Version="1">16964229</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2010 Sep 21;107(38):16465-70</RefSource><PMID Version="1">20810919</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Blood. 2011 Apr 7;117(14):3816-25</RefSource><PMID Version="1">21296997</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Bioinformatics. 2003 Jan 22;19(2):185-93</RefSource><PMID Version="1">12538238</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Bioinformatics. 2016 Jan 12;17:27</RefSource><PMID Version="1">26753519</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Genet. 2010 Dec;42(12):1113-7</RefSource><PMID Version="1">21057500</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Cancer. 2013 Jul 02;13:326</RefSource><PMID Version="1">23819905</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Epidemiology. 2010 Jul;21 Suppl 4:S44-50</RefSource><PMID Version="1">21422966</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cancer. 2014 May 1;120(9):1329-37</RefSource><PMID Version="1">24477928</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell Stem Cell. 2010 Aug 6;7(2):249-57</RefSource><PMID Version="1">20682450</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2014 Jul 02;9(7):e101444</RefSource><PMID Version="1">24988316</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Bioinformatics. 2006 Jan 06;7:3</RefSource><PMID Version="1">16398926</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nucleic Acids Res. 2015 Jul 13;43(12):e79</RefSource><PMID Version="1">25829177</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Genomics. 2008 Dec;92(6):400-3</RefSource><PMID Version="1">18565726</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Stem Cells. 2012 Jan;30(1):33-41</RefSource><PMID Version="1">22213481</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Clin Cancer Res. 2010 Aug 1;16(15):3860-74</RefSource><PMID Version="1">20551037</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Am J Clin Pathol. 2015 Nov;144(5):756-63</RefSource><PMID Version="1">26486740</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Science. 2007 Dec 21;318(5858):1917-20</RefSource><PMID Version="1">18029452</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Stem Cells. 2013 Mar;31(3):467-78</RefSource><PMID Version="1">23225669</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Breast. 2014 Jun;23(3):226-33</RefSource><PMID Version="1">24656773</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Genet. 2000 Apr;24(4):372-6</RefSource><PMID Version="1">10742100</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Stem Cell Res. 2013 May;10(3):387-95</RefSource><PMID Version="1">23466562</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Brief Bioinform. 2013 Jul;14(4):469-90</RefSource><PMID Version="1">22851511</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Biostatistics. 2007 Jan;8(1):118-27</RefSource><PMID Version="1">16632515</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell. 2010 Nov 12;143(4):527-39</RefSource><PMID Version="1">21074045</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Hum Mol Genet. 2012 Sep 1;21(17):3825-34</RefSource><PMID Version="1">22661500</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 2014 Apr 3;508(7494):103-7</RefSource><PMID Version="1">24670641</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 1990 Jun 21;345(6277):686-92</RefSource><PMID Version="1">1972777</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 2012 Apr 18;486(7403):346-52</RefSource><PMID Version="1">22522925</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 2012 Oct 4;490(7418):61-70</RefSource><PMID Version="1">23000897</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Science. 2009 May 8;324(5928):797-801</RefSource><PMID Version="1">19325077</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Cell Biol. 2007 Feb;9(2):201-9</RefSource><PMID Version="1">17187062</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Development. 2015 Jul 15;142(14):2397-404</RefSource><PMID Version="1">26199409</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell Stem Cell. 2009 Jun 5;4(6):472-6</RefSource><PMID Version="1">19481515</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Commun. 2014 Apr 24;5:3678</RefSource><PMID Version="1">24759836</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Stem Cells. 2004;22(5):659-68</RefSource><PMID Version="1">15342930</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Reproduction. 2014 Nov;148(5):531-44</RefSource><PMID Version="1">25118298</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Blood. 2011 Apr 7;117(14):e109-19</RefSource><PMID Version="1">21296996</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell. 2011 Feb 4;144(3):439-52</RefSource><PMID Version="1">21295703</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Bioinformatics. 2016 Jul 1;32(13):1966-73</RefSource><PMID Version="1">27153719</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell Stem Cell. 2009 Jul 2;5(1):111-23</RefSource><PMID Version="1">19570518</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2015 Apr 15;10(4):e0122106</RefSource><PMID Version="1">25875093</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell Stem Cell. 2010 Aug 6;7(2):258-62</RefSource><PMID Version="1">20682451</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cell. 2006 Dec 1;127(5):1041-55</RefSource><PMID Version="1">17129787</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D020869" MajorTopicYN="N">Gene Expression Profiling</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015999" 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