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

Authors :
Akhil Pampana
Xiuqing Guo
Tanika N. Kelly
Yii-Der Ida Chen
Charles Kooperberg
Chii-Min Hwu
Mariaelisa Graff
Jiang He
Xihao Li
Patrick T. Ellinor
Joshua C. Bis
Kari E. North
Nancy L. Heard-Costa
Joseph Park
Stacey Gabriel
Joanne E. Curran
Braxton D. Mitchell
Lee-Ming Chuang
Ravindranath Duggirala
Jerome I. Rotter
Robert C. Kaplan
Soren Germer
Pradeep Natarajan
Take Naseri
Xihong Lin
Susan K. Dutcher
Stella Aslibekyan
Ryan W. Kim
Daniel J. Rader
Richard A. Gibbs
Myriam Fornage
Eric Boerwinkle
Bertha Hidalgo
Muagututi’a S. Reupena
Deborah A. Nickerson
Zhe Wang
Donald W. Bowden
Yuxuan Wang
Alanna C. Morrison
Stephen S. Rich
David Zhang
Gina M. Peloso
Xiaohui Li
Martin Lisa
Lisa de las Fuentes
Zilin Li
Alexander P. Reiner
Jennifer A. Brody
Lisa R. Yanek
Marguerite R. Irvin
Bruce M. Psaty
Bao Wei
Preuss Michael
Leslie A. Lange
John T. Wilkins
Russell P. Tracy
Paul S. de Vries
Wei Zhao
Rasika A. Mathias
Susan Redline
Xiao Sun
Kent D. Taylor
Barry I. Freedman
Ani Manichaikul
Donna K. Arnett
Nicholette D. Palmer
Cristen J. Willer
Steven A. Lubitz
Sharon L.R. Kardia
L. Adrienne Cupples
Ramachandran S. Vasan
May E. Montasser
Ren-Hua Chung
Margaret Sunitha Selvaraj
Jeffrey R. O'Connell
Ruth J. F. Loos
Jennifer A. Smith
John Blangero
Brian G. Kral
Karine A. Viaud Martinez
Stephen T. McGarvey
Adolfo Correa
Michael Y. Tsai
Patricia A. Peyser
Brian E. Cade
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Plasma lipids are heritable modifiable causal factors for coronary artery disease, the leading cause of death globally. Despite the well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing, partly due to limited sample sizes, ancestral diversity, and interpretation of potential clinical significance. Increasingly larger whole genome sequence datasets with plasma lipids coupled with methodologic advances enable us to more fully catalog the allelic spectrum for lipids. Here, among 66,329 ancestrally diverse (56% non-European ancestry) participants, we associate 428M variants from deep-coverage whole genome sequences with plasma lipids. Approximately 400M of these variants were not studied in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with plasma lipids through analysis of common and rare coding variants. We additionally discover several significantly associated rare non-coding variants largely at Mendelian lipid genes. Notably, we detect rareLDLRintronic variants associated with markedly increased LDL-C, similar to rareLDLRexonic variants. In conclusion, we conducted a systematic whole genome scan for plasma lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........2287fa21dd5b96ad676e7d347d1adc36