학술논문

Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
Document Type
article
Author
Asselbergs, Folkert WGuo, Yiranvan Iperen, Erik PASivapalaratnam, SutheshTragante, ViniciusLanktree, Matthew BLange, Leslie AAlmoguera, BertaAppelman, Yolande EBarnard, JohnBaumert, JensBeitelshees, Amber LBhangale, Tushar RChen, Yii-Der IdaGaunt, Tom RGong, YanHopewell, Jemma CJohnson, TobyKleber, Marcus ELangaee, Taimour YLi, MingyaoLi, Yun RLiu, KiangMcDonough, Caitrin WMeijs, Matthijs FLMiddelberg, Rita PSMusunuru, KiranNelson, Christopher PO’Connell, Jeffery RPadmanabhan, SandoshPankow, James SPankratz, NathanRafelt, SuzanneRajagopalan, RamakrishnanRomaine, Simon PRSchork, Nicholas JShaffer, JonathanShen, HaiqingSmith, Erin NTischfield, Sam Evan der Most, Peter Jvan Vliet-Ostaptchouk, Jana VVerweij, NiekVolcik, Kelly AZhang, LiBailey, Kent RBailey, Kristian MBauer, FlorianneBoer, Jolanda MABraund, Peter SBurt, AmberBurton, Paul RBuxbaum, Sarah GChen, WeiCooper-DeHoff, Rhonda MCupples, L AdriennedeJong, Jonas SDelles, ChristianDuggan, DavidFornage, MyriamFurlong, Clement EGlazer, NicoleGums, John GHastie, ClaireHolmes, Michael VIllig, ThomasKirkland, Susan AKivimaki, MikaKlein, RonaldKlein, Barbara EKooperberg, CharlesKottke-Marchant, KandiceKumari, MeenaLaCroix, Andrea ZMallela, LayaMurugesan, GurunathanOrdovas, JoseOuwehand, Willem HPost, Wendy SSaxena, RichaScharnagl, HubertSchreiner, Pamela JShah, TinaShields, Denis CShimbo, DaichiSrinivasan, Sathanur RStolk, Ronald PSwerdlow, Daniel ITaylor, Herman ATopol, Eric JToskala, Elinavan Pelt, Joost Lvan Setten, JessicaYusuf, SalimWhittaker, John CZwinderman, AHStudy, LifeLines CohortAnand, Sonia SBalmforth, Anthony JBerenson, Gerald S
Source
American Journal of Human Genetics. 91(5)
Subject
Biological Sciences
Biomedical and Clinical Sciences
Genetics
Epidemiology
Health Sciences
Human Genome
Cardiovascular
Atherosclerosis
Aetiology
2.1 Biological and endogenous factors
Cholesterol
HDL
Cholesterol
LDL
Female
Genome-Wide Association Study
Genotype
Humans
Lipids
Male
Phenotype
Polymorphism
Single Nucleotide
Quantitative Trait Loci
Sex Factors
Triglycerides
White People
LifeLines Cohort Study
Medical and Health Sciences
Genetics & Heredity
Biological sciences
Biomedical and clinical sciences
Health sciences
Language
Abstract
Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.