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
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
717-723Subventions
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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