A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study.

Black or African American / statistics & numerical data Cohort Studies Epidemiologic Studies Female Genome-Wide Association Study Humans Male Middle Aged Observational Studies as Topic Phenotype Polymorphism, Single Nucleotide
African Americans Cardiovascular disease Genetics PheWAS

Journal

BMC medical genomics
ISSN: 1755-8794
Titre abrégé: BMC Med Genomics
Pays: England
ID NLM: 101319628

Informations de publication

Date de publication:
31 01 2019
Historique:
entrez: 2 2 2019
pubmed: 2 2 2019
medline: 12 5 2020
Statut: epublish

Résumé

Cardiovascular disease, diabetes, and kidney disease are among the leading causes of death and disability worldwide. However, knowledge of genetic determinants of those diseases in African Americans remains limited. In our study, associations between 4956 GWAS catalog reported SNPs and 67 traits were examined among 7726 African Americans from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, which is focused on identifying factors that increase stroke risk. The prevalent and incident phenotypes studied included inflammation, kidney traits, cardiovascular traits and cognition. Our results validated 29 known associations, of which eight associations were reported for the first time in African Americans. Our cross-racial validation of GWAS findings provide additional evidence for the important roles of these loci in the disease process and may help identify genes especially important for future functional validation.

Sections du résumé

BACKGROUND
Cardiovascular disease, diabetes, and kidney disease are among the leading causes of death and disability worldwide. However, knowledge of genetic determinants of those diseases in African Americans remains limited.
RESULTS
In our study, associations between 4956 GWAS catalog reported SNPs and 67 traits were examined among 7726 African Americans from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, which is focused on identifying factors that increase stroke risk. The prevalent and incident phenotypes studied included inflammation, kidney traits, cardiovascular traits and cognition. Our results validated 29 known associations, of which eight associations were reported for the first time in African Americans.
CONCLUSION
Our cross-racial validation of GWAS findings provide additional evidence for the important roles of these loci in the disease process and may help identify genes especially important for future functional validation.

Identifiants

DOI: 10.1186/s12920-018-0462-7 PMID: 30704471 PMC: PMC6357353
pubmed: 30704471
doi: 10.1186/s12920-018-0462-7
pii: 10.1186/s12920-018-0462-7
pmc: PMC6357353
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

26

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG010086
Pays : United States
Organisme : NIMHD NIH HHS
ID : RC4 MD005964
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK079626
Pays : United States
Organisme : NHLBI NIH HHS
ID : K24 HL133373
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS041588
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR000032
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL072757
Pays : United States

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Auteurs

Xueyan Zhao (X)

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Xin Geng (X)

BGI-Shenzhen, Shenzhen, 518083, China.
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.

Vinodh Srinivasasainagendra (V)

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Ninad Chaudhary (N)

Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Suzanne Judd (S)

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Virginia Wadley (V)

Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Orlando M Gutiérrez (OM)

Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Henry Wang (H)

Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Ethan M Lange (EM)

Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.

Leslie A Lange (LA)

Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.

Daniel Woo (D)

Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA.

Frederick W Unverzagt (FW)

Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.

Monika Safford (M)

Division of General Internal Medicine, Weill Cornell Medical College, Cornell University, New York, NY, 10065, USA.

Mary Cushman (M)

Department of Medicine and Pathology, Larner College of Medicine at the University of Vermont, Burlington, VT, 05405, USA.

Nita Limdi (N)

Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.

Rakale Quarells (R)

Cardiovascular Research Institute, Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, 30310, USA.

Donna K Arnett (DK)

College of Public Health, University of Kentucky, Lexington, KY, 40506, USA.

Marguerite R Irvin (MR)

Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA. irvinr@uab.edu.

Degui Zhi (D)

School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. Degui.zhi@uth.tmc.edu.
School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. Degui.zhi@uth.tmc.edu.

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Classifications MeSH

questionsmedicales.fr › Personnes › Nord-Américains › Groupes de population aux États-Unis › Populations d'origine continentale › Noir ou Africain Américain › A PheWAS study of a large observational...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › A PheWAS study of a large observational...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › A PheWAS study of a large observational...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Épidémiologie moléculaire › Étude d'association pangénomique › A PheWAS study of a large observational...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › A PheWAS study of a large observational...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › A PheWAS study of a large observational...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études cliniques comme sujet › Études observationnelles comme sujet › A PheWAS study of a large observational...
questionsmedicales.fr › Phénomènes génétiques › Phénotype › A PheWAS study of a large observational...
questionsmedicales.fr › Phénomènes génétiques › Variation génétique › Polymorphisme génétique › Polymorphisme de nucléotide simple › A PheWAS study of a large observational...