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Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

Author

Listed:
  • Andrew A. Brown

    (University of Dundee)

  • Juan J. Fernandez-Tajes

    (University of Oxford)

  • Mun-gwan Hong

    (KTH - Royal Institute of Technology)

  • Caroline A. Brorsson

    (Technical University of Denmark
    University of Copenhagen)

  • Robert W. Koivula

    (University of Oxford)

  • David Davtian

    (University of Dundee)

  • Théo Dupuis

    (University of Dundee)

  • Ambra Sartori

    (University of Geneva Medical School
    University of Geneva
    Swiss Institute of Bioinformatics)

  • Theodora-Dafni Michalettou

    (University of Newcastle)

  • Ian M. Forgie

    (University of Dundee)

  • Jonathan Adam

    (German Center for Diabetes Research (DZD)
    German Research Center for Environmental Health, Helmholtz Zentrum München)

  • Kristine H. Allin

    (University of Copenhagen)

  • Robert Caiazzo

    (University of Lille, Inserm, Lille Pasteur Institute)

  • Henna Cederberg

    (University of Eastern Finland)

  • Federico De Masi

    (Technical University of Denmark)

  • Petra J. M. Elders

    (Amsterdam Public Health research institute)

  • Giuseppe N. Giordano

    (Lund University Diabetes Centre)

  • Mark Haid

    (German Research Center for Environmental Health, Helmholtz Zentrum München)

  • Torben Hansen

    (University of Copenhagen)

  • Tue H. Hansen

    (University of Copenhagen)

  • Andrew T. Hattersley

    (University of Exeter College of Medicine & Health)

  • Alison J. Heggie

    (Newcastle University)

  • Cédric Howald

    (University of Geneva Medical School
    University of Geneva
    Swiss Institute of Bioinformatics)

  • Angus G. Jones

    (University of Exeter College of Medicine & Health)

  • Tarja Kokkola

    (University of Eastern Finland)

  • Markku Laakso

    (University of Eastern Finland)

  • Anubha Mahajan

    (University of Oxford)

  • Andrea Mari

    (National Research Council)

  • Timothy J. McDonald

    (Royal Devon and Exeter NHS Foundation Trust)

  • Donna McEvoy

    (Royal Victoria Infirmary)

  • Miranda Mourby

    (University of Oxford)

  • Petra B. Musholt

    (Hoechst Industrial Park)

  • Birgitte Nilsson

    (Technical University of Denmark)

  • Francois Pattou

    (University of Lille, Inserm, Lille Pasteur Institute)

  • Deborah Penet

    (University of Geneva Medical School
    University of Geneva
    Swiss Institute of Bioinformatics)

  • Violeta Raverdy

    (University of Lille, Inserm, Lille Pasteur Institute)

  • Martin Ridderstråle

    (Lund University)

  • Luciana Romano

    (University of Geneva Medical School
    University of Geneva
    Swiss Institute of Bioinformatics)

  • Femke Rutters

    (Epidemiology and Data Science, VUMC)

  • Sapna Sharma

    (German Research Center for Environmental Health, Helmholtz Zentrum München
    Technical University of Munich)

  • Harriet Teare

    (University of Oxford)

  • Leen ‘t Hart

    (Epidemiology and Data Science, VUMC
    Leiden University Medical Center
    Leiden University Medical Center)

  • Konstantinos D. Tsirigos

    (Technical University of Denmark)

  • Jagadish Vangipurapu

    (University of Eastern Finland)

  • Henrik Vestergaard

    (University of Copenhagen
    Steno Diabetes Center Copenhagen)

  • Søren Brunak

    (Technical University of Denmark
    University of Copenhagen)

  • Paul W. Franks

    (Lund University Diabetes Centre)

  • Gary Frost

    (Imperial College London)

  • Harald Grallert

    (German Center for Diabetes Research (DZD)
    German Research Center for Environmental Health, Helmholtz Zentrum München)

  • Bernd Jablonka

    (Sanofi Partnering, Sanofi-Aventis Deutschland GmbH)

  • Mark I. McCarthy

    (University of Oxford
    GENENTECH, 1 DNA Way)

  • Imre Pavo

    (Eli Lilly Regional Operations Ges.m.b.H)

  • Oluf Pedersen

    (Herlev and Gentofte University Hospital
    University of Copenhagen)

  • Hartmut Ruetten

    (Sanofi Partnering, Sanofi-Aventis Deutschland GmbH)

  • Mark Walker

    (University of Newcastle)

  • Jerzy Adamski

    (National University of Singapore
    German Research Center for Environmental Health, Helmholtz Zentrum München
    University of Ljubljana)

  • Jochen M. Schwenk

    (KTH - Royal Institute of Technology)

  • Ewan R. Pearson

    (University of Dundee)

  • Emmanouil T. Dermitzakis

    (University of Geneva Medical School
    University of Geneva
    Swiss Institute of Bioinformatics)

  • Ana Viñuela

    (University of Newcastle)

Abstract

We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.

Suggested Citation

  • Andrew A. Brown & Juan J. Fernandez-Tajes & Mun-gwan Hong & Caroline A. Brorsson & Robert W. Koivula & David Davtian & Théo Dupuis & Ambra Sartori & Theodora-Dafni Michalettou & Ian M. Forgie & Jonath, 2023. "Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40569-3
    DOI: 10.1038/s41467-023-40569-3
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    References listed on IDEAS

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