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Nature Research, Nature Communications, 1(13), 2022

DOI: 10.1038/s41467-022-33510-7

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Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Journal article published in 2022 by Margaret Sunitha Selvaraj, Zilin Li, S. Margaret Sunitha, David Y. Zhang, Ren-Hua Chung, Lisa de las Fuentes, Ravindranath Duggirala, de Vries Ps, Jennifer A. Brody, Xihao Li, Chii-Min Hwu, Tanika N. Kelly, Kelly Tn, Paul S. de Vries, Leslie Lange and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

AbstractBlood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid genes. Notably, we observe rare LDLR intronic variants associated with markedly increased LDL-C, similar to rare LDLR exonic variants. In conclusion, we conducted a systematic whole genome scan for blood lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.