Home LiteratureArticle Details
PMID: 42185625 Published · ppublish English

Exome-wide association study of blood lipids in 1,158,017 individuals from diverse populations.

Nature genetics ·Vol. 58 ·No. 6 ·2026-06-00

Koyama S, Yu Z, Choi SH, Jurgens SJ, Selvaraj MS, Klarin D, Huffman JE, Clarke SL, Zhang SK, Trinh MN, Ravi A, Dron JS, Spinks C, Surakka I, Bhatnagar A, Lannery K, Hornsby W, Damrauer SM, Chang KM, Lynch JA, Assimes TL, Tsao PS, Rader DJ, Cho K, Peloso GM, Ellinor PT, Sun YV, Wilson PWF, VA Million Veteran Program, Natarajan P

Abstract

Rare coding alleles have crucial roles in the molecular diagnosis of genetic diseases. However, the systematic identification of these alleles has been challenging due to their scarcity in the general population. Here we discovered and characterized rare coding alleles contributing to genetic dyslipidemia, a principal risk for coronary artery disease (CAD), among 1,158,017 multi-ancestral individuals. Testing 2,997,401 rare coding variants, we identified 800 exome-wide significant associations (176 predicted loss of function (pLoF) and 624 missense variants). Associated alleles are enriched in functional variant classes, show significant additive and recessive associations, exhibit similar effects across populations and resolve pathogenicity for variants of unknown significance. Furthermore, we identified five lipid-associated genes associated with CAD. Among them, silencing RORC represents a potential therapeutic target for lowering low-density lipoprotein cholesterol. This study provides resources and insights for understanding causal mechanisms, quantifying the expressivity of rare coding alleles and identifying new drug targets for dyslipidemia across diverse populations.

Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1546-1718
Published
2026-06-00
Language
English
Country/Region
United States
NLM ID
9216904
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]