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Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study

Authors :
Petra J. M. Elders
Andrea Mari
Femke Rutters
Musholt P
Caiazzo R
Ana Viñuela
Harriet Teare
Fernandez J
H Grallert
McEvoy D
Kristine H. Allin
Pattou F
Jochen M. Schwenk
Pavo I
Mourby M
Dupuis T
Giuseppe N. Giordano
Tarja Kokkola
Andrew T. Hattersley
Adam J
Jagadish Vangipurapu
Ian M Forgie
Anubha Mahajan
Cédric Howald
Caroline Brorsson
Adamski J
Henrik Vestergaard
Gary Frost
Emmanouil T. Dermitzakis
Thomas Willum Hansen
Alison Heggie
Deborah Penet
Sapna Sharma
McDonald Tj
Mark Haid
De Masi F
Raverdy
Bernd Jablonka
Paul W. Franks
Robert W. Koivula
Andrew A. Brown
Søren Brunak
Mark I. McCarthy
Konstantinos D. Tsirigos
Angus G. Jones
Ridderstrale M
Mun-Gwan Hong
E R Pearson
Markku Laakso
Birgitte Nilsson
Davtian D
T’Hart Lm
Walker M
Oluf Pedersen
Ruetten H
Henna Cederberg
Luciana Romano
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Genetic variants identified by genome-wide association studies can contribute to disease risk by altering the production and abundance of mRNA, proteins and other molecules. However, the interplay between molecular intermediaries that define the pathway from genetic variation to disease is not well understood. Here, we evaluated the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3,029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant was associated with multiple molecular phenotypes over multiple genomic regions. We find varying proportions of shared genetic regulation across phenotypes, highest between expression and proteins (66.6%). We were able to recapitulate a substantial proportion of gene expression genetic regulation in a diverse set of 44 tissues, with a median of 88% shared associations for blood expression and 22.3% for plasma proteins. Finally, the genetic and molecular associations were represented in networks including 2,828 known GWAS variants. One sub-network shows the trans relationship between rs149007767 and RTEN, and identifies GRB10 and IKZF1 as candidates mediating genes. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants across different molecular phenotypes.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........b140e9ddef00dc40c94154233c60821b
Full Text :
https://doi.org/10.1101/2021.03.26.21254347