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

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  • Margaret Sunitha Selvaraj
  • Xihao Li
  • Zilin Li
  • Akhil Pampana
  • David Y. Zhang
  • Joseph Park
  • Stella Aslibekyan
  • Joshua C. Bis
  • Jennifer A. Brody
  • Brian E. Cade
  • Lee Ming Chuang
  • Ren Hua Chung
  • Joanne E. Curran
  • Lisa de las Fuentes
  • Paul S. de Vries
  • Ravindranath Duggirala
  • Barry I. Freedman
  • Mariaelisa Graff
  • Xiuqing Guo
  • Nancy Heard-Costa
  • Bertha Hidalgo
  • Chii Min Hwu
  • Marguerite R. Irvin
  • Tanika N. Kelly
  • Brian G. Kral
  • Leslie Lange
  • Xiaohui Li
  • Martin Lisa
  • Steven A. Lubitz
  • Ani W. Manichaikul
  • Preuss Michael
  • May E. Montasser
  • Alanna C. Morrison
  • Take Naseri
  • Jeffrey R. O’Connell
  • Nicholette D. Palmer
  • Patricia A. Peyser
  • Muagututia S. Reupena
  • Jennifer A. Smith
  • Xiao Sun
  • Kent D. Taylor
  • Russell P. Tracy
  • Michael Y. Tsai
  • Zhe Wang
  • Yuxuan Wang
  • Loos, Ruth
  • NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium

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.

Original languageEnglish
Article number5995
JournalNature Communications
Volume13
Number of pages18
ISSN2041-1723
DOIs
Publication statusPublished - 2022

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© 2022, The Author(s).

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