Polygenic Prediction of Type 2 Diabetes in Africa.


Journal

Diabetes care
ISSN: 1935-5548
Titre abrégé: Diabetes Care
Pays: United States
ID NLM: 7805975

Informations de publication

Date de publication:
01 03 2022
Historique:
received: 11 02 2021
accepted: 23 11 2021
pubmed: 12 1 2022
medline: 11 3 2022
entrez: 11 1 2022
Statut: ppublish

Résumé

Polygenic prediction of type 2 diabetes (T2D) in continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of T2D from Africa and the poor transferability of European-derived polygenic risk scores (PRSs) in diverse ethnicities. We set out to evaluate if African American, European, or multiethnic-derived PRSs would improve polygenic prediction in continental Africans. Using the PRSice software, ethnic-specific PRSs were computed with weights from the T2D GWAS multiancestry meta-analysis of 228,499 case and 1,178,783 control subjects. The South African Zulu study (n = 1,602 case and 981 control subjects) was used as the target data set. Validation and assessment of the best predictive PRS association with age at diagnosis were conducted in the Africa America Diabetes Mellitus (AADM) study (n = 2,148 case and 2,161 control subjects). The discriminatory ability of the African American and multiethnic PRSs was similar. However, the African American-derived PRS was more transferable in all the countries represented in the AADM cohort and predictive of T2D in the country combined analysis compared with the European and multiethnic-derived scores. Notably, participants in the 10th decile of this PRS had a 3.63-fold greater risk (odds ratio 3.63; 95% CI 2.19-4.03; P = 2.79 × 10-17) per risk allele of developing diabetes and were diagnosed 2.6 years earlier than those in the first decile. African American-derived PRS enhances polygenic prediction of T2D in continental Africans. Improved representation of non-European populations (including Africans) in GWAS promises to provide better tools for precision medicine interventions in T2D.

Identifiants

pubmed: 35015074
pii: 139195
doi: 10.2337/dc21-0365
pmc: PMC8918234
doi:

Banques de données

figshare
['10.2337/figshare.17076419']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

717-723

Subventions

Organisme : Intramural NIH HHS
ID : ZIA HG200362
Pays : United States
Organisme : Wellcome Trust
ID : 214205/Z/18/Z
Pays : United Kingdom
Organisme : Department of Health
ID : CL-2020-16-001
Pays : United Kingdom
Organisme : FIC NIH HHS
ID : T37 TW000041
Pays : United States
Organisme : VA
ID : PEC 16-001
Pays : United States
Organisme : British Heart Foundation
ID : RE/18/4/34215
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 220740/Z/20/Z
Pays : United Kingdom

Informations de copyright

© 2022 by the American Diabetes Association.

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Auteurs

Tinashe Chikowore (T)

MRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Kenneth Ekoru (K)

Center for Research on Genomics and Global Health, National Institute of Health, Bethesda, MD.

Marijana Vujkovi (M)

Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.

Dipender Gill (D)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George's, University of London, London, U.K.

Fraser Pirie (F)

Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa.

Elizabeth Young (E)

Omnigen Biodata Ltd, Cambridge, U.K.

Manjinder S Sandhu (MS)

Department of Epidemiology and Biostatistics, Imperial College, London, U.K.

Mark McCarthy (M)

Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K.

Charles Rotimi (C)

Center for Research on Genomics and Global Health, National Institute of Health, Bethesda, MD.

Adebowale Adeyemo (A)

Center for Research on Genomics and Global Health, National Institute of Health, Bethesda, MD.

Ayesha Motala (A)

Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa.

Segun Fatumo (S)

London School of Hygiene and Tropical Medicine, London, U.K.
The African Computational Genomics Research Group, MRC/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (Uganda Research Unit), Entebbe, Uganda.

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