TY - JOUR
T1 - Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol
AU - The NHLBI Grand Opportunity Exome Sequencing Project
AU - Lange, Leslie A.
AU - Hu, Youna
AU - Zhang, He
AU - Xue, Chenyi
AU - Schmidt, Ellen M.
AU - Tang, Zheng Zheng
AU - Bizon, Chris
AU - Lange, Ethan M.
AU - Smith, Joshua D.
AU - Turner, Emily H.
AU - Jun, Goo
AU - Kang, Hyun Min
AU - Peloso, Gina
AU - Auer, Paul
AU - Li, Kuo Ping
AU - Flannick, Jason
AU - Zhang, Ji
AU - Fuchsberger, Christian
AU - Gaulton, Kyle
AU - Lindgren, Cecilia
AU - Locke, Adam
AU - Manning, Alisa
AU - Sim, Xueling
AU - Rivas, Manuel A.
AU - Holmen, Oddgeir L.
AU - Gottesman, Omri
AU - Lu, Yingchang
AU - Ruderfer, Douglas
AU - Stahl, Eli A.
AU - Duan, Qing
AU - Li, Yun
AU - Durda, Peter
AU - Jiao, Shuo
AU - Isaacs, Aaron
AU - Hofman, Albert
AU - Bis, Joshua C.
AU - Correa, Adolfo
AU - Griswold, Michael E.
AU - Jakobsdottir, Johanna
AU - Smith, Albert V.
AU - Schreiner, Pamela J.
AU - Feitosa, Mary F.
AU - Zhang, Qunyuan
AU - Huffman, Jennifer E.
AU - Crosby, Jacy
AU - Wassel, Christina L.
AU - Do, Ron
AU - Franceschini, Nora
AU - Martin, Lisa W.
AU - Akey, Joshua M.
N1 - Funding Information:
The authors wish to acknowledge the support of the NHLBI and the contributions of the research institutions, study investigators, field staff, and study participants in creating this resource for biomedical research. Funding for the NHLBI Grand Opportunity (GO) Exome Sequencing Project was provided by NHLBI grants RC2 HL-103010 (HeartGO), RC2 HL-102923 (LungGO), and RC2 HL-102924 (Women’s Health Initiative Sequencing Project). Exome sequencing was performed through NHLBI grants RC2 HL-102925 (BroadGO) and RC2 HL-102926 (SeattleGO). G.J. is supported by R01 HL67406 and the Northwest Institute of Genomic Medicine, funded by the Washington State Life Sciences Discovery Fund. S.K.’s effort is funded through National Institutes of Health grant R01HL107816. C.J.W. is supported by R00 HL94535 and R01 HL109946. The University of Iowa receives financial support from Amarin, Amgen, Astra-Zeneca, Daiichi-Sankyo, Esperion, F. Hoffman-La Roche, Glaxo-Smith Kline, Merck, Regeneron and Sanofi, and Takeda and Zinfandel for J.G.R’s research. B.M.P serves on the data and safety monitoring board of a clinical trial for Zoll LifeCor. Additional acknowledgements are provided in the Supplemental Data.
PY - 2014/2/6
Y1 - 2014/2/6
N2 - Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98th or <2nd percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.
AB - Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98th or <2nd percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.
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U2 - 10.1016/j.ajhg.2014.01.010
DO - 10.1016/j.ajhg.2014.01.010
M3 - Article
C2 - 24507775
AN - SCOPUS:84893720400
SN - 0002-9297
VL - 94
SP - 233
EP - 245
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 2
ER -