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Clinical utility of polygenic scores for cardiometabolic disease in Arabs.

Authors :
Shim, Injeong
Kuwahara, Hiroyuki
Chen, NingNing
Hashem, Mais O.
AlAbdi, Lama
Abouelhoda, Mohamed
Won, Hong-Hee
Natarajan, Pradeep
Ellinor, Patrick T.
Khera, Amit V.
Gao, Xin
Alkuraya, Fowzan S.
Fahed, Akl C.
Source :
Nature Communications; 10/18/2023, Vol. 14 Issue 1, p1-11, 11p
Publication Year :
2023

Abstract

Arabs account for 5% of the world population and have a high burden of cardiometabolic disease, yet clinical utility of polygenic risk prediction in Arabs remains understudied. Among 5399 Arab patients, we optimize polygenic scores for 10 cardiometabolic traits, achieving a performance that is better than published scores and on par with performance in European-ancestry individuals. Odds ratio per standard deviation (OR per SD) for a type 2 diabetes score was 1.83 (95% CI 1.74–1.92), and each SD of body mass index (BMI) score was associated with 1.18 kg/m<superscript>2</superscript> difference in BMI. Polygenic scores associated with disease independent of conventional risk factors, and also associated with disease severity—OR per SD for coronary artery disease (CAD) was 1.78 (95% CI 1.66–1.90) for three-vessel CAD and 1.41 (95% CI 1.29–1.53) for one-vessel CAD. We propose a pragmatic framework leveraging public data as one way to advance equitable clinical implementation of polygenic scores in non-European populations. Arabs account for 5% of the world population and have a high burden of cardiometabolic disease. Here, the authors optimize polygenic scores for 10 cardiometabolic traits in 5399 Arabs, achieving a performance on par with that among European-ancestry individuals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
173052866
Full Text :
https://doi.org/10.1038/s41467-023-41985-1