Whole genome sequence analysis of blood lipid levels in >66,000 individuals
Blood 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.
Selvaraj, Margaret Sunitha; Li, Xihao; Li, Zilin; Pampana, Akhil; Zhang, David Y.; Park, Joseph; Aslibekyan, Stella; Bis, Joshua C.; Brody, Jennifer A.; Cade, Brian E.; Chuang, Lee-Ming; Chung, Ren-Hua; Curran, Joanne E.; de Las Fuentes, Lisa; de Vries, Paul S.; Duggirala, Ravindranath; Freedman, Barry I.; Graff, Mariaelisa; Guo, Xiuqing; Heard-Costa, Nancy; Hidalgo, Bertha; Hwu, Chii-Min; Irvin, Marguerite R.; Kelly, Tanika N.; Kral, Brian G.; Lange, Leslie; Li, Xiaohui; Lisa, Martin; Lubitz, Steven A.; Manichaikul, Ani W.; Michael, Preuss; and Montasser, May E., "Whole genome sequence analysis of blood lipid levels in >66,000 individuals" (2022). GW Authored Works. Paper 1789.