- Main
Whole genome sequence analysis of blood lipid levels in >66,000 individuals
- 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;
- Montasser, May E;
- Morrison, Alanna C;
- Naseri, Take;
- O’Connell, Jeffrey R;
- Palmer, Nicholette D;
- Peyser, Patricia A;
- Reupena, Muagututia S;
- Smith, Jennifer A;
- Sun, Xiao;
- Taylor, Kent D;
- Tracy, Russell P;
- Tsai, Michael Y;
- Wang, Zhe;
- Wang, Yuxuan;
- Bao, Wei;
- Wilkins, John T;
- Yanek, Lisa R;
- Zhao, Wei;
- Arnett, Donna K;
- Blangero, John;
- Boerwinkle, Eric;
- Bowden, Donald W;
- Chen, Yii-Der Ida;
- Correa, Adolfo;
- Cupples, L Adrienne;
- Dutcher, Susan K;
- Ellinor, Patrick T;
- Fornage, Myriam;
- Gabriel, Stacey;
- Germer, Soren;
- Gibbs, Richard;
- He, Jiang;
- Kaplan, Robert C;
- Kardia, Sharon LR;
- Kim, Ryan;
- Kooperberg, Charles;
- Loos, Ruth JF;
- Viaud-Martinez, Karine A;
- Mathias, Rasika A;
- McGarvey, Stephen T;
- Mitchell, Braxton D;
- Nickerson, Deborah;
- North, Kari E;
- Psaty, Bruce M;
- Redline, Susan;
- Reiner, Alexander P;
- Vasan, Ramachandran S;
- Rich, Stephen S;
- Willer, Cristen;
- Rotter, Jerome I;
- Rader, Daniel J;
- Lin, Xihong;
- Peloso, Gina M;
- Natarajan, Pradeep
- et al.
Published Web Location
https://doi.org/10.1038/s41467-022-33510-7Abstract
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.
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