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Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation.

Authors :
Min JL
Hemani G
Hannon E
Dekkers KF
Castillo-Fernandez J
Luijk R
Carnero-Montoro E
Lawson DJ
Burrows K
Suderman M
Bretherick AD
Richardson TG
Klughammer J
Iotchkova V
Sharp G
Al Khleifat A
Shatunov A
Iacoangeli A
McArdle WL
Ho KM
Kumar A
Söderhäll C
Soriano-Tárraga C
Giralt-Steinhauer E
Kazmi N
Mason D
McRae AF
Corcoran DL
Sugden K
Kasela S
Cardona A
Day FR
Cugliari G
Viberti C
Guarrera S
Lerro M
Gupta R
Bollepalli S
Mandaviya P
Zeng Y
Clarke TK
Walker RM
Schmoll V
Czamara D
Ruiz-Arenas C
Rezwan FI
Marioni RE
Lin T
Awaloff Y
Germain M
Aïssi D
Zwamborn R
van Eijk K
Dekker A
van Dongen J
Hottenga JJ
Willemsen G
Xu CJ
Barturen G
Català-Moll F
Kerick M
Wang C
Melton P
Elliott HR
Shin J
Bernard M
Yet I
Smart M
Gorrie-Stone T
Shaw C
Al Chalabi A
Ring SM
Pershagen G
Melén E
Jiménez-Conde J
Roquer J
Lawlor DA
Wright J
Martin NG
Montgomery GW
Moffitt TE
Poulton R
Esko T
Milani L
Metspalu A
Perry JRB
Ong KK
Wareham NJ
Matullo G
Sacerdote C
Panico S
Caspi A
Arseneault L
Gagnon F
Ollikainen M
Kaprio J
Felix JF
Rivadeneira F
Tiemeier H
van IJzendoorn MH
Uitterlinden AG
Jaddoe VWV
Haley C
McIntosh AM
Evans KL
Murray A
Räikkönen K
Lahti J
Nohr EA
Sørensen TIA
Hansen T
Morgen CS
Binder EB
Lucae S
Gonzalez JR
Bustamante M
Sunyer J
Holloway JW
Karmaus W
Zhang H
Deary IJ
Wray NR
Starr JM
Beekman M
van Heemst D
Slagboom PE
Morange PE
Trégouët DA
Veldink JH
Davies GE
de Geus EJC
Boomsma DI
Vonk JM
Brunekreef B
Koppelman GH
Alarcón-Riquelme ME
Huang RC
Pennell CE
van Meurs J
Ikram MA
Hughes AD
Tillin T
Chaturvedi N
Pausova Z
Paus T
Spector TD
Kumari M
Schalkwyk LC
Visscher PM
Davey Smith G
Bock C
Gaunt TR
Bell JT
Heijmans BT
Mill J
Relton CL
Source :
Nature genetics [Nat Genet] 2021 Sep; Vol. 53 (9), pp. 1311-1321. Date of Electronic Publication: 2021 Sep 06.
Publication Year :
2021

Abstract

Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. In the present study, we describe results of DNAm quantitative trait locus (mQTL) analyses on 32,851 participants, identifying genetic variants associated with DNAm at 420,509 DNAm sites in blood. We present a database of >270,000 independent mQTLs, of which 8.5% comprise long-range (trans) associations. Identified mQTL associations explain 15-17% of the additive genetic variance of DNAm. We show that the genetic architecture of DNAm levels is highly polygenic. Using shared genetic control between distal DNAm sites, we constructed networks, identifying 405 discrete genomic communities enriched for genomic annotations and complex traits. Shared genetic variants are associated with both DNAm levels and complex diseases, but only in a minority of cases do these associations reflect causal relationships from DNAm to trait or vice versa, indicating a more complex genotype-phenotype map than previously anticipated.<br /> (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Details

Language :
English
ISSN :
1546-1718
Volume :
53
Issue :
9
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
34493871
Full Text :
https://doi.org/10.1038/s41588-021-00923-x