학술논문

A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
Document Type
article
Author
Ramdas, ShwetaJudd, JonathanGraham, Sarah EKanoni, StavroulaWang, YuxuanSurakka, IdaWenz, BrandonClarke, Shoa LChesi, AlessandraWells, AndrewBhatti, Konain FatimaVedantam, SailajaWinkler, Thomas WLocke, Adam EMarouli, EiriniZajac, Greg JMWu, Kuan-Han HNtalla, IoannaHui, QinKlarin, DerekHilliard, Austin TWang, ZeyuanXue, ChaoThorleifsson, GudmarHelgadottir, AnnaGudbjartsson, Daniel FHolm, HilmaOlafsson, IsleifurHwang, Mi YeongHan, SoheeAkiyama, MasatoSakaue, SaoriTerao, ChikashiKanai, MasahiroZhou, WeiBrumpton, Ben MRasheed, HumairaHavulinna, Aki SVeturi, YogasudhaPacheco, Jennifer AllenRosenthal, Elisabeth ALingren, ToddFeng, QiPingKullo, Iftikhar JNarita, AkiraTakayama, JunMartin, Hilary CHunt, Karen ATrivedi, BhaviHaessler, JeffreyGiulianini, FrancoBradford, YukiMiller, Jason ECampbell, ArchieLin, KuangMillwood, Iona YRasheed, AsifHindy, GeorgeFaul, Jessica DZhao, WeiWeir, David RTurman, ConstanceHuang, HongyanGraff, MariaelisaChoudhury, AnanyoSengupta, DhritiMahajan, AnubhaBrown, Michael RZhang, WeihuaYu, KetianSchmidt, Ellen MPandit, AnitaGustafsson, StefanYin, XianyongLuan, Jian’anZhao, Jing-HuaMatsuda, FumihikoJang, Hye-MiYoon, KyungheonMedina-Gomez, CarolinaPitsillides, AchilleasHottenga, Jouke JanWood, Andrew RJi, YingjiGao, ZishanHaworth, SimonMitchell, Ruth EChai, Jin FangAadahl, MetteBjerregaard, Anne AYao, JieManichaikul, AniLee, Wen-JaneHsiung, Chao AgnesWarren, Helen RRamirez, JuliaBork-Jensen, JetteKårhus, Line LGoel, AnujSabater-Lleal, Maria
Source
American Journal of Human Genetics. 109(8)
Subject
Human Genome
Biotechnology
Genetics
2.1 Biological and endogenous factors
Aetiology
Chromatin
Genome-Wide Association Study
Genomics
Humans
Lipids
Polymorphism
Single Nucleotide
Million Veterans Program
Global Lipids Genetics Consortium
complex traits
fine-mapping
functional genomics
lipid biology
post-GWAS
regulatory mechanism
variant prioritization
Biological Sciences
Medical and Health Sciences
Genetics & Heredity
Language
Abstract
A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology.