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A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.

Authors :
Ramdas S
Judd J
Graham SE
Kanoni S
Wang Y
Surakka I
Wenz B
Clarke SL
Chesi A
Wells A
Bhatti KF
Vedantam S
Winkler TW
Locke AE
Marouli E
Zajac GJM
Wu KH
Ntalla I
Hui Q
Klarin D
Hilliard AT
Wang Z
Xue C
Thorleifsson G
Helgadottir A
Gudbjartsson DF
Holm H
Olafsson I
Hwang MY
Han S
Akiyama M
Sakaue S
Terao C
Kanai M
Zhou W
Brumpton BM
Rasheed H
Havulinna AS
Veturi Y
Pacheco JA
Rosenthal EA
Lingren T
Feng Q
Kullo IJ
Narita A
Takayama J
Martin HC
Hunt KA
Trivedi B
Haessler J
Giulianini F
Bradford Y
Miller JE
Campbell A
Lin K
Millwood IY
Rasheed A
Hindy G
Faul JD
Zhao W
Weir DR
Turman C
Huang H
Graff M
Choudhury A
Sengupta D
Mahajan A
Brown MR
Zhang W
Yu K
Schmidt EM
Pandit A
Gustafsson S
Yin X
Luan J
Zhao JH
Matsuda F
Jang HM
Yoon K
Medina-Gomez C
Pitsillides A
Hottenga JJ
Wood AR
Ji Y
Gao Z
Haworth S
Mitchell RE
Chai JF
Aadahl M
Bjerregaard AA
Yao J
Manichaikul A
Lee WJ
Hsiung CA
Warren HR
Ramirez J
Bork-Jensen J
Kårhus LL
Goel A
Sabater-Lleal M
Noordam R
Mauro P
Matteo F
McDaid AF
Marques-Vidal P
Wielscher M
Trompet S
Sattar N
Møllehave LT
Munz M
Zeng L
Huang J
Yang B
Poveda A
Kurbasic A
Schönherr S
Forer L
Scholz M
Galesloot TE
Bradfield JP
Ruotsalainen SE
Daw EW
Zmuda JM
Mitchell JS
Fuchsberger C
Christensen H
Brody JA
Le P
Feitosa MF
Wojczynski MK
Hemerich D
Preuss M
Mangino M
Christofidou P
Verweij N
Benjamins JW
Engmann J
Noah TL
Verma A
Slieker RC
Lo KS
Zilhao NR
Kleber ME
Delgado GE
Huo S
Ikeda DD
Iha H
Yang J
Liu J
Demirkan A
Leonard HL
Marten J
Emmel C
Schmidt B
Smyth LJ
Cañadas-Garre M
Wang C
Nakatochi M
Wong A
Hutri-Kähönen N
Sim X
Xia R
Huerta-Chagoya A
Fernandez-Lopez JC
Lyssenko V
Nongmaithem SS
Sankareswaran A
Irvin MR
Oldmeadow C
Kim HN
Ryu S
Timmers PRHJ
Arbeeva L
Dorajoo R
Lange LA
Prasad G
Lorés-Motta L
Pauper M
Long J
Li X
Theusch E
Takeuchi F
Spracklen CN
Loukola A
Bollepalli S
Warner SC
Wang YX
Wei WB
Nutile T
Ruggiero D
Sung YJ
Chen S
Liu F
Yang J
Kentistou KA
Banas B
Morgan A
Meidtner K
Bielak LF
Smith JA
Hebbar P
Farmaki AE
Hofer E
Lin M
Concas MP
Vaccargiu S
van der Most PJ
Pitkänen N
Cade BE
van der Laan SW
Chitrala KN
Weiss S
Bentley AR
Doumatey AP
Adeyemo AA
Lee JY
Petersen ERB
Nielsen AA
Choi HS
Nethander M
Freitag-Wolf S
Southam L
Rayner NW
Wang CA
Lin SY
Wang JS
Couture C
Lyytikäinen LP
Nikus K
Cuellar-Partida G
Vestergaard H
Hidalgo B
Giannakopoulou O
Cai Q
Obura MO
van Setten J
He KY
Tang H
Terzikhan N
Shin JH
Jackson RD
Reiner AP
Martin LW
Chen Z
Li L
Kawaguchi T
Thiery J
Bis JC
Launer LJ
Li H
Nalls MA
Raitakari OT
Ichihara S
Wild SH
Nelson CP
Campbell H
Jäger S
Nabika T
Al-Mulla F
Niinikoski H
Braund PS
Kolcic I
Kovacs P
Giardoglou T
Katsuya T
de Kleijn D
de Borst GJ
Kim EK
Adams HHH
Ikram MA
Zhu X
Asselbergs FW
Kraaijeveld AO
Beulens JWJ
Shu XO
Rallidis LS
Pedersen O
Hansen T
Mitchell P
Hewitt AW
Kähönen M
Pérusse L
Bouchard C
Tönjes A
Ida Chen YD
Pennell CE
Mori TA
Lieb W
Franke A
Ohlsson C
Mellström D
Cho YS
Lee H
Yuan JM
Koh WP
Rhee SY
Woo JT
Heid IM
Stark KJ
Zimmermann ME
Völzke H
Homuth G
Evans MK
Zonderman AB
Polasek O
Pasterkamp G
Hoefer IE
Redline S
Pahkala K
Oldehinkel AJ
Snieder H
Biino G
Schmidt R
Schmidt H
Bandinelli S
Dedoussis G
Thanaraj TA
Peyser PA
Kato N
Schulze MB
Girotto G
Böger CA
Jung B
Joshi PK
Bennett DA
De Jager PL
Lu X
Mamakou V
Brown M
Caulfield MJ
Munroe PB
Guo X
Ciullo M
Jonas JB
Samani NJ
Kaprio J
Pajukanta P
Tusié-Luna T
Aguilar-Salinas CA
Adair LS
Bechayda SA
de Silva HJ
Wickremasinghe AR
Krauss RM
Wu JY
Zheng W
den Hollander AI
Bharadwaj D
Correa A
Wilson JG
Lind L
Heng CK
Nelson AE
Golightly YM
Wilson JF
Penninx B
Kim HL
Attia J
Scott RJ
Rao DC
Arnett DK
Walker M
Scott LJ
Koistinen HA
Chandak GR
Mercader JM
Villalpando CG
Orozco L
Fornage M
Tai ES
van Dam RM
Lehtimäki T
Chaturvedi N
Yokota M
Liu J
Reilly DF
McKnight AJ
Kee F
Jöckel KH
McCarthy MI
Palmer CNA
Vitart V
Hayward C
Simonsick E
van Duijn CM
Jin ZB
Lu F
Hishigaki H
Lin X
März W
Gudnason V
Tardif JC
Lettre G
T Hart LM
Elders PJM
Rader DJ
Damrauer SM
Kumari M
Kivimaki M
van der Harst P
Spector TD
Loos RJF
Province MA
Parra EJ
Cruz M
Psaty BM
Brandslund I
Pramstaller PP
Rotimi CN
Christensen K
Ripatti S
Widén E
Hakonarson H
Grant SFA
Kiemeney L
de Graaf J
Loeffler M
Kronenberg F
Gu D
Erdmann J
Schunkert H
Franks PW
Linneberg A
Jukema JW
Khera AV
Männikkö M
Jarvelin MR
Kutalik Z
Francesco C
Mook-Kanamori DO
Willems van Dijk K
Watkins H
Strachan DP
Grarup N
Sever P
Poulter N
Huey-Herng Sheu W
Rotter JI
Dantoft TM
Karpe F
Neville MJ
Timpson NJ
Cheng CY
Wong TY
Khor CC
Li H
Sabanayagam C
Peters A
Gieger C
Hattersley AT
Pedersen NL
Magnusson PKE
Boomsma DI
de Geus EJC
Cupples LA
van Meurs JBJ
Ikram A
Ghanbari M
Gordon-Larsen P
Huang W
Kim YJ
Tabara Y
Wareham NJ
Langenberg C
Zeggini E
Tuomilehto J
Kuusisto J
Laakso M
Ingelsson E
Abecasis G
Chambers JC
Kooner JS
de Vries PS
Morrison AC
Hazelhurst S
Ramsay M
North KE
Daviglus M
Kraft P
Martin NG
Whitfield JB
Abbas S
Saleheen D
Walters RG
Holmes MV
Black C
Smith BH
Baras A
Justice AE
Buring JE
Ridker PM
Chasman DI
Kooperberg C
Tamiya G
Yamamoto M
van Heel DA
Trembath RC
Wei WQ
Jarvik GP
Namjou B
Hayes MG
Ritchie MD
Jousilahti P
Salomaa V
Hveem K
Åsvold BO
Kubo M
Kamatani Y
Okada Y
Murakami Y
Kim BJ
Thorsteinsdottir U
Stefansson K
Zhang J
Chen YE
Ho YL
Lynch JA
Tsao PS
Chang KM
Cho K
O'Donnell CJ
Gaziano JM
Wilson P
Mohlke KL
Frayling TM
Hirschhorn JN
Kathiresan S
Boehnke M
Struan Grant
Natarajan P
Sun YV
Morris AP
Deloukas P
Peloso G
Assimes TL
Willer CJ
Zhu X
Brown CD
Source :
American journal of human genetics [Am J Hum Genet] 2022 Aug 04; Vol. 109 (8), pp. 1366-1387.
Publication Year :
2022

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.<br />Competing Interests: Declaration of interests G.C.-P. is currently an employee of 23andMe Inc. M.J.C. is the Chief Scientist for Genomics England, a UK Government company. B.M. Psaty serves on the steering committee of the Yale Open Data Access Project funded by Johnson & Johnson. G. Thorleifsson, A.H., D.F.G., H. Holm, U.T., and K.S. are employees of deCODE/Amgen Inc. V.S. has received honoraria for consultations from Novo Nordisk and Sanofi and has an ongoing research collaboration with Bayer Ltd. M. McCarthy has served on advisory panels for Pfizer, NovoNordisk, and Zoe Global and has received honoraria from Merck, Pfizer, Novo Nordisk, and Eli Lilly and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda. M. McCarthy and A. Mahajan are employees of Genentech and holders of Roche stock. M.S. receives funding from Pfizer Inc. for a project unrelated to this work. M.E.K. is employed by SYNLAB MVZ Mannheim GmbH. W.M. has received grants from Siemens Healthineers, grants and personal fees from Aegerion Pharmaceuticals, grants and personal fees from AMGEN, grants from Astrazeneca, grants and personal fees from Sanofi, grants and personal fees from Alexion Pharmaceuticals, grants and personal fees from BASF, grants and personal fees from Abbott Diagnostics, grants and personal fees from Numares AG, grants and personal fees from Berlin-Chemie, grants and personal fees from Akzea Therapeutics, grants from Bayer Vital GmbH , grants from bestbion dx GmbH, grants from Boehringer Ingelheim Pharma GmbH Co KG, grants from Immundiagnostik GmbH, grants from Merck Chemicals GmbH, grants from MSD Sharp and Dohme GmbH, grants from Novartis Pharma GmbH, grants from Olink Proteomics, and other from Synlab Holding Deutschland GmbH, all outside the submitted work. A.V.K. has served as a consultant to Sanofi, Medicines Company, Maze Pharmaceuticals, Navitor Pharmaceuticals, Verve Therapeutics, Amgen, and Color Genomics; received speaking fees from Illumina and the Novartis Institute for Biomedical Research; received sponsored research agreements from the Novartis Institute for Biomedical Research and IBM Research, and reports a patent related to a genetic risk predictor (20190017119). S. Kathiresan is an employee of Verve Therapeutics and holds equity in Verve Therapeutics, Maze Therapeutics, Catabasis, and San Therapeutics. He is a member of the scientific advisory boards for Regeneron Genetics Center and Corvidia Therapeutics; he has served as a consultant for Acceleron, Eli Lilly, Novartis, Merck, Novo Nordisk, Novo Ventures, Ionis, Alnylam, Aegerion, Haug Partners, Noble Insights, Leerink Partners, Bayer Healthcare, Illumina, Color Genomics, MedGenome, Quest, and Medscape; and he reports patents related to a method of identifying and treating a person having a predisposition to or afflicted with cardiometabolic disease (20180010185) and a genetics risk predictor (20190017119). D.K. accepts consulting fees from Regeneron Pharmaceuticals. D.O.M.-K. is a part-time clinical research consultant for Metabolon, Inc. D. Saleheen has received support from the British Heart Foundation, Pfizer, Regeneron, Genentech, and Eli Lilly pharmaceuticals. P.N. reports investigator-initated grants from Amgen, Apple, AstraZeneca, Boston Scientific, and Novartis, personal fees from Apple, AstraZeneca, Blackstone Life Sciences, Foresite Labs, Novartis, Roche / Genentech, is a co-founder of TenSixteen Bio, is a scientific advisory board member of Esperion Therapeutics, geneXwell, and TenSixteen Bio, and spousal employment at Vertex, all unrelated to the present work. The spouse of C.J.W. is employed by Regeneron.<br /> (Copyright © 2022 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1537-6605
Volume :
109
Issue :
8
Database :
MEDLINE
Journal :
American journal of human genetics
Publication Type :
Academic Journal
Accession number :
35931049
Full Text :
https://doi.org/10.1016/j.ajhg.2022.06.012