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Multi-ancestry polygenic mechanisms of type 2 diabetes.

Authors :
Smith K
Deutsch AJ
McGrail C
Kim H
Hsu S
Huerta-Chagoya A
Mandla R
Schroeder PH
Westerman KE
Szczerbinski L
Majarian TD
Kaur V
Williamson A
Zaitlen N
Claussnitzer M
Florez JC
Manning AK
Mercader JM
Gaulton KJ
Udler MS
Source :
Nature medicine [Nat Med] 2024 Apr; Vol. 30 (4), pp. 1065-1074. Date of Electronic Publication: 2024 Mar 05.
Publication Year :
2024

Abstract

Type 2 diabetes (T2D) is a multifactorial disease with substantial genetic risk, for which the underlying biological mechanisms are not fully understood. In this study, we identified multi-ancestry T2D genetic clusters by analyzing genetic data from diverse populations in 37 published T2D genome-wide association studies representing more than 1.4 million individuals. We implemented soft clustering with 650 T2D-associated genetic variants and 110 T2D-related traits, capturing known and novel T2D clusters with distinct cardiometabolic trait associations across two independent biobanks representing diverse genetic ancestral populations (African, n = 21,906; Admixed American, n = 14,410; East Asian, n =2,422; European, n = 90,093; and South Asian, n = 1,262). The 12 genetic clusters were enriched for specific single-cell regulatory regions. Several of the polygenic scores derived from the clusters differed in distribution among ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a body mass index (BMI) of 30 kg m <superscript>-</superscript> <superscript>2</superscript> in the European subpopulation and 24.2 (22.9-25.5) kg m <superscript>-</superscript> <superscript>2</superscript> in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1-30.0) kg m <superscript>-</superscript> <superscript>2</superscript> in the East Asian group. Thus, these multi-ancestry T2D genetic clusters encompass a broader range of biological mechanisms and provide preliminary insights to explain ancestry-associated differences in T2D risk profiles.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Details

Language :
English
ISSN :
1546-170X
Volume :
30
Issue :
4
Database :
MEDLINE
Journal :
Nature medicine
Publication Type :
Academic Journal
Accession number :
38443691
Full Text :
https://doi.org/10.1038/s41591-024-02865-3