Human Heredity and Health (H3) in Africa Kidney Disease Research Network: A Focus on Methods in Sub-Saharan Africa.
Identifieur interne : 000798 ( PubMed/Curation ); précédent : 000797; suivant : 000799Human Heredity and Health (H3) in Africa Kidney Disease Research Network: A Focus on Methods in Sub-Saharan Africa.
Auteurs : Charlotte Osafo [Ghana] ; Yemi Raheem Raji [Nigeria] ; David Burke ; Bamidele O. Tayo [États-Unis] ; Nicki Tiffin [Afrique du Sud] ; Marva M. Moxey-Mims [États-Unis] ; Rebekah S. Rasooly [États-Unis] ; Paul L. Kimmel [États-Unis] ; Akinlolu Ojo [États-Unis] ; Dwomoa Adu [Oman] ; Rulan S. Parekh [Canada]Source :
- Clinical journal of the American Society of Nephrology : CJASN [ 1555-905X ] ; 2015.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Afrique subsaharienne (épidémiologie), Biologie informatique, Comportement coopératif, Coopération internationale, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Génomique (), Génomique (organisation et administration), Humains, Hérédité, Insuffisance rénale chronique (), Insuffisance rénale chronique (diagnostic), Insuffisance rénale chronique (génétique), Insuffisance rénale chronique (épidémiologie), Jeune adulte, Mentors, Mâle, Nourrisson, Néphrologie (), Néphrologie (organisation et administration), Pedigree, Phénotype, Plan de recherche, Pronostic, Prédisposition génétique à une maladie, Prévalence, Recherche biomédicale (), Recherche biomédicale (organisation et administration), Sujet âgé, Études cas-témoins, Évaluation des risques.
- MESH :
- diagnostic : Insuffisance rénale chronique.
- génétique : Insuffisance rénale chronique.
- organisation et administration : Génomique, Néphrologie, Recherche biomédicale.
- épidémiologie : Afrique subsaharienne, Insuffisance rénale chronique.
- Adolescent, Adulte, Adulte d'âge moyen, Biologie informatique, Comportement coopératif, Coopération internationale, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Génomique, Humains, Hérédité, Insuffisance rénale chronique, Jeune adulte, Mentors, Mâle, Nourrisson, Néphrologie, Pedigree, Phénotype, Plan de recherche, Pronostic, Prédisposition génétique à une maladie, Prévalence, Recherche biomédicale, Sujet âgé, Études cas-témoins, Évaluation des risques.
English descriptors
- KwdEn :
- Adolescent, Adult, Africa South of the Sahara (epidemiology), Aged, Biomedical Research (methods), Biomedical Research (organization & administration), Case-Control Studies, Child, Child, Preschool, Computational Biology, Cooperative Behavior, Female, Genetic Predisposition to Disease, Genomics (methods), Genomics (organization & administration), Heredity, Humans, Infant, International Cooperation, Male, Mentors, Middle Aged, Nephrology (methods), Nephrology (organization & administration), Pedigree, Phenotype, Prevalence, Prognosis, Renal Insufficiency, Chronic (diagnosis), Renal Insufficiency, Chronic (epidemiology), Renal Insufficiency, Chronic (genetics), Renal Insufficiency, Chronic (therapy), Research Design, Risk Assessment, Risk Factors, Young Adult.
- MESH :
- geographic , epidemiology : Africa South of the Sahara.
- diagnosis : Renal Insufficiency, Chronic.
- epidemiology : Renal Insufficiency, Chronic.
- genetics : Renal Insufficiency, Chronic.
- methods : Biomedical Research, Genomics, Nephrology.
- organization & administration : Biomedical Research, Genomics, Nephrology.
- therapy : Renal Insufficiency, Chronic.
- Adolescent, Adult, Aged, Case-Control Studies, Child, Child, Preschool, Computational Biology, Cooperative Behavior, Female, Genetic Predisposition to Disease, Heredity, Humans, Infant, International Cooperation, Male, Mentors, Middle Aged, Pedigree, Phenotype, Prevalence, Prognosis, Research Design, Risk Assessment, Risk Factors, Young Adult.
Abstract
CKD affects an estimated 14% of adults in sub-Saharan Africa, but very little research has been done on the cause, progression, and prevention of CKD there. As part of the Human Heredity and Health in Africa (H3Africa) Consortium, the H3Africa Kidney Disease Research Network was established to study prevalent forms of kidney disease in sub-Saharan Africa and increase the capacity for genetics and genomics research. The study is performing comprehensive phenotypic characterization and analyzing environmental and genetic factors from nine clinical centers in four African countries (Ghana, Nigeria, Ethiopia, and Kenya) over a 5-year period. Approximately 4000 participants with specified kidney disease diagnoses and 4000 control participants will be enrolled in the four African countries. In addition, approximately 50 families with hereditary glomerular disease will be enrolled. The study includes both pediatric and adult participants age <1 to 74 years across a broad spectrum of kidney diseases secondary to hypertension-attributed nephropathy, diabetes, HIV infection, sickle cell disease, biopsy-proven glomerular disease, and CKD of unknown origin. Clinical and demographic data with biospecimens are collected to assess clinical, biochemical, and genetic markers of kidney disease. As of March 2015, a total of 3499 patients and controls have been recruited and 1897 had complete entry data for analysis. Slightly more than half (50.2%) of the cohort is female. Initial quality control of clinical data collection and of biosample and DNA analysis is satisfactory, demonstrating that a clinical research infrastructure can be successfully established in Africa. This study will provide clinical, biochemical, and genotypic data that will greatly increase the understanding of CKD in sub-Saharan Africa.
DOI: 10.2215/CJN.11951214
PubMed: 26138261
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Moxey-Mims</name><affiliation wicri:level="2"><nlm:affiliation>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda</wicri:cityArea></affiliation></author><author><name sortKey="Rasooly, Rebekah S" sort="Rasooly, Rebekah S" uniqKey="Rasooly R" first="Rebekah S" last="Rasooly">Rebekah S. Rasooly</name><affiliation wicri:level="2"><nlm:affiliation>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda</wicri:cityArea></affiliation></author><author><name sortKey="Kimmel, Paul L" sort="Kimmel, Paul L" uniqKey="Kimmel P" first="Paul L" last="Kimmel">Paul L. Kimmel</name><affiliation wicri:level="2"><nlm:affiliation>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda</wicri:cityArea></affiliation></author><author><name sortKey="Ojo, Akinlolu" sort="Ojo, Akinlolu" uniqKey="Ojo A" first="Akinlolu" last="Ojo">Akinlolu Ojo</name><affiliation wicri:level="2"><nlm:affiliation>Department of Medicine, University of Michigan Medical School, Ann Arbor, Michigan;</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Michigan</region></placeName><wicri:cityArea>Department of Medicine, University of Michigan Medical School, Ann Arbor</wicri:cityArea></affiliation></author><author><name sortKey="Adu, Dwomoa" sort="Adu, Dwomoa" uniqKey="Adu D" first="Dwomoa" last="Adu">Dwomoa Adu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Medicine and Therapeutics, University of Ghana, Accra, Ghana; dwoms15@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country><wicri:regionArea>Department of Medicine and Therapeutics, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Parekh, Rulan S" sort="Parekh, Rulan S" uniqKey="Parekh R" first="Rulan S" last="Parekh">Rulan S. Parekh</name><affiliation wicri:level="1"><nlm:affiliation>Departments of Pediatrics and Medicine, Hospital for Sick Children, University of Health Network, University of Toronto, Toronto, Ontario, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Departments of Pediatrics and Medicine, Hospital for Sick Children, University of Health Network, University of Toronto, Toronto, Ontario</wicri:regionArea></affiliation></author></analytic><series><title level="j">Clinical journal of the American Society of Nephrology : CJASN</title><idno type="eISSN">1555-905X</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Africa South of the Sahara (epidemiology)</term><term>Aged</term><term>Biomedical Research (methods)</term><term>Biomedical Research (organization & administration)</term><term>Case-Control Studies</term><term>Child</term><term>Child, Preschool</term><term>Computational Biology</term><term>Cooperative Behavior</term><term>Female</term><term>Genetic Predisposition to Disease</term><term>Genomics (methods)</term><term>Genomics (organization & administration)</term><term>Heredity</term><term>Humans</term><term>Infant</term><term>International Cooperation</term><term>Male</term><term>Mentors</term><term>Middle Aged</term><term>Nephrology (methods)</term><term>Nephrology (organization & administration)</term><term>Pedigree</term><term>Phenotype</term><term>Prevalence</term><term>Prognosis</term><term>Renal Insufficiency, Chronic (diagnosis)</term><term>Renal Insufficiency, Chronic (epidemiology)</term><term>Renal Insufficiency, Chronic (genetics)</term><term>Renal Insufficiency, Chronic (therapy)</term><term>Research Design</term><term>Risk Assessment</term><term>Risk Factors</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Afrique subsaharienne (épidémiologie)</term><term>Biologie informatique</term><term>Comportement coopératif</term><term>Coopération internationale</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Génomique ()</term><term>Génomique (organisation et administration)</term><term>Humains</term><term>Hérédité</term><term>Insuffisance rénale chronique ()</term><term>Insuffisance rénale chronique (diagnostic)</term><term>Insuffisance rénale chronique (génétique)</term><term>Insuffisance rénale chronique (épidémiologie)</term><term>Jeune adulte</term><term>Mentors</term><term>Mâle</term><term>Nourrisson</term><term>Néphrologie ()</term><term>Néphrologie (organisation et administration)</term><term>Pedigree</term><term>Phénotype</term><term>Plan de recherche</term><term>Pronostic</term><term>Prédisposition génétique à une maladie</term><term>Prévalence</term><term>Recherche biomédicale ()</term><term>Recherche biomédicale (organisation et administration)</term><term>Sujet âgé</term><term>Études cas-témoins</term><term>Évaluation des risques</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Africa South of the Sahara</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Renal Insufficiency, Chronic</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Insuffisance rénale chronique</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Renal Insufficiency, Chronic</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Renal Insufficiency, Chronic</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Insuffisance rénale chronique</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Biomedical Research</term><term>Genomics</term><term>Nephrology</term></keywords><keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr"><term>Génomique</term><term>Néphrologie</term><term>Recherche biomédicale</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Biomedical Research</term><term>Genomics</term><term>Nephrology</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Renal Insufficiency, Chronic</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Afrique subsaharienne</term><term>Insuffisance rénale chronique</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Case-Control Studies</term><term>Child</term><term>Child, Preschool</term><term>Computational Biology</term><term>Cooperative Behavior</term><term>Female</term><term>Genetic Predisposition to Disease</term><term>Heredity</term><term>Humans</term><term>Infant</term><term>International Cooperation</term><term>Male</term><term>Mentors</term><term>Middle Aged</term><term>Pedigree</term><term>Phenotype</term><term>Prevalence</term><term>Prognosis</term><term>Research Design</term><term>Risk Assessment</term><term>Risk Factors</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Biologie informatique</term><term>Comportement coopératif</term><term>Coopération internationale</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Génomique</term><term>Humains</term><term>Hérédité</term><term>Insuffisance rénale chronique</term><term>Jeune adulte</term><term>Mentors</term><term>Mâle</term><term>Nourrisson</term><term>Néphrologie</term><term>Pedigree</term><term>Phénotype</term><term>Plan de recherche</term><term>Pronostic</term><term>Prédisposition génétique à une maladie</term><term>Prévalence</term><term>Recherche biomédicale</term><term>Sujet âgé</term><term>Études cas-témoins</term><term>Évaluation des risques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">CKD affects an estimated 14% of adults in sub-Saharan Africa, but very little research has been done on the cause, progression, and prevention of CKD there. As part of the Human Heredity and Health in Africa (H3Africa) Consortium, the H3Africa Kidney Disease Research Network was established to study prevalent forms of kidney disease in sub-Saharan Africa and increase the capacity for genetics and genomics research. The study is performing comprehensive phenotypic characterization and analyzing environmental and genetic factors from nine clinical centers in four African countries (Ghana, Nigeria, Ethiopia, and Kenya) over a 5-year period. Approximately 4000 participants with specified kidney disease diagnoses and 4000 control participants will be enrolled in the four African countries. In addition, approximately 50 families with hereditary glomerular disease will be enrolled. The study includes both pediatric and adult participants age <1 to 74 years across a broad spectrum of kidney diseases secondary to hypertension-attributed nephropathy, diabetes, HIV infection, sickle cell disease, biopsy-proven glomerular disease, and CKD of unknown origin. Clinical and demographic data with biospecimens are collected to assess clinical, biochemical, and genetic markers of kidney disease. As of March 2015, a total of 3499 patients and controls have been recruited and 1897 had complete entry data for analysis. Slightly more than half (50.2%) of the cohort is female. Initial quality control of clinical data collection and of biosample and DNA analysis is satisfactory, demonstrating that a clinical research infrastructure can be successfully established in Africa. This study will provide clinical, biochemical, and genotypic data that will greatly increase the understanding of CKD in sub-Saharan Africa.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26138261</PMID><DateCreated><Year>2015</Year><Month>12</Month><Day>08</Day></DateCreated><DateCompleted><Year>2016</Year><Month>09</Month><Day>13</Day></DateCompleted><DateRevised><Year>2016</Year><Month>12</Month><Day>07</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1555-905X</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><Issue>12</Issue><PubDate><Year>2015</Year><Month>Dec</Month><Day>07</Day></PubDate></JournalIssue><Title>Clinical journal of the American Society of Nephrology : CJASN</Title><ISOAbbreviation>Clin J Am Soc Nephrol</ISOAbbreviation></Journal><ArticleTitle>Human Heredity and Health (H3) in Africa Kidney Disease Research Network: A Focus on Methods in Sub-Saharan Africa.</ArticleTitle><Pagination><MedlinePgn>2279-87</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2215/CJN.11951214</ELocationID><Abstract><AbstractText>CKD affects an estimated 14% of adults in sub-Saharan Africa, but very little research has been done on the cause, progression, and prevention of CKD there. As part of the Human Heredity and Health in Africa (H3Africa) Consortium, the H3Africa Kidney Disease Research Network was established to study prevalent forms of kidney disease in sub-Saharan Africa and increase the capacity for genetics and genomics research. The study is performing comprehensive phenotypic characterization and analyzing environmental and genetic factors from nine clinical centers in four African countries (Ghana, Nigeria, Ethiopia, and Kenya) over a 5-year period. Approximately 4000 participants with specified kidney disease diagnoses and 4000 control participants will be enrolled in the four African countries. In addition, approximately 50 families with hereditary glomerular disease will be enrolled. The study includes both pediatric and adult participants age <1 to 74 years across a broad spectrum of kidney diseases secondary to hypertension-attributed nephropathy, diabetes, HIV infection, sickle cell disease, biopsy-proven glomerular disease, and CKD of unknown origin. Clinical and demographic data with biospecimens are collected to assess clinical, biochemical, and genetic markers of kidney disease. As of March 2015, a total of 3499 patients and controls have been recruited and 1897 had complete entry data for analysis. Slightly more than half (50.2%) of the cohort is female. Initial quality control of clinical data collection and of biosample and DNA analysis is satisfactory, demonstrating that a clinical research infrastructure can be successfully established in Africa. This study will provide clinical, biochemical, and genotypic data that will greatly increase the understanding of CKD in sub-Saharan Africa.</AbstractText><CopyrightInformation>Copyright © 2015 by the American Society of Nephrology.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Osafo</LastName><ForeName>Charlotte</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Medicine and Therapeutics, University of Ghana, Accra, Ghana;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Raji</LastName><ForeName>Yemi Raheem</ForeName><Initials>YR</Initials><AffiliationInfo><Affiliation>Department of Medicine, University of Ibadan, Ibadan, Nigeria;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Burke</LastName><ForeName>David</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Human Genetics and.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tayo</LastName><ForeName>Bamidele O</ForeName><Initials>BO</Initials><AffiliationInfo><Affiliation>Department of Public Health Sciences, Loyola University Chicago, Maywood, Illinois;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tiffin</LastName><ForeName>Nicki</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>South African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Moxey-Mims</LastName><ForeName>Marva M</ForeName><Initials>MM</Initials><AffiliationInfo><Affiliation>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rasooly</LastName><ForeName>Rebekah S</ForeName><Initials>RS</Initials><AffiliationInfo><Affiliation>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kimmel</LastName><ForeName>Paul L</ForeName><Initials>PL</Initials><AffiliationInfo><Affiliation>National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ojo</LastName><ForeName>Akinlolu</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Medicine, University of Michigan Medical School, Ann Arbor, Michigan;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Adu</LastName><ForeName>Dwomoa</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Medicine and Therapeutics, University of Ghana, Accra, Ghana; dwoms15@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Parekh</LastName><ForeName>Rulan S</ForeName><Initials>RS</Initials><AffiliationInfo><Affiliation>Departments of Pediatrics and Medicine, Hospital for Sick Children, University of Health Network, University of Toronto, Toronto, Ontario, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>H3Africa Kidney Disease Research Network Investigators as members of The H3Africa Consortium</CollectiveName></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 DK076683</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U54 HG006939</GrantID><Acronym>HG</Acronym><Agency>NHGRI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>1U54-HG006939-01</GrantID><Acronym>HG</Acronym><Agency>NHGRI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>07</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Clin J Am Soc Nephrol</MedlineTA><NlmUniqueID>101271570</NlmUniqueID><ISSNLinking>1555-9041</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Diabetes Care. 2011 Jan;34 Suppl 1:S11-61</RefSource><PMID Version="1">21193625</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Rev Nephrol. 2011 Jun;7(6):313-26</RefSource><PMID Version="1">21537348</PMID></CommentsCorrections><CommentsCorrections 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