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Plasma proteomic associations with genetics and health in the UK Biobank

Author

Listed:
  • Benjamin B. Sun

    (Biogen)

  • Joshua Chiou

    (Pfizer)

  • Matthew Traylor

    (Novo Nordisk Research Centre Oxford)

  • Christian Benner

    (Genentech)

  • Yi-Hsiang Hsu

    (Amgen Research)

  • Tom G. Richardson

    (Novo Nordisk Research Centre Oxford
    GlaxoSmithKline)

  • Praveen Surendran

    (GlaxoSmithKline)

  • Anubha Mahajan

    (Genentech)

  • Chloe Robins

    (GlaxoSmithKline)

  • Steven G. Vasquez-Grinnell

    (Bristol Myers Squibb)

  • Liping Hou

    (Janssen Research & Development)

  • Erika M. Kvikstad

    (Bristol Myers Squibb)

  • Oliver S. Burren

    (AstraZeneca)

  • Jonathan Davitte

    (GlaxoSmithKline)

  • Kyle L. Ferber

    (Biogen)

  • Christopher E. Gillies

    (Regeneron Genetics Center)

  • Åsa K. Hedman

    (Pfizer)

  • Sile Hu

    (Novo Nordisk Research Centre Oxford)

  • Tinchi Lin

    (Biogen)

  • Rajesh Mikkilineni

    (Data Science Institute, Takeda Development Center Americas)

  • Rion K. Pendergrass

    (Genentech)

  • Corran Pickering

    (UK Biobank)

  • Bram Prins

    (AstraZeneca)

  • Denis Baird

    (Biogen)

  • Chia-Yen Chen

    (Biogen)

  • Lucas D. Ward

    (Alnylam Pharmaceuticals)

  • Aimee M. Deaton

    (Alnylam Pharmaceuticals)

  • Samantha Welsh

    (UK Biobank)

  • Carissa M. Willis

    (Alnylam Pharmaceuticals)

  • Nick Lehner

    (German Research Center for Environmental Health)

  • Matthias Arnold

    (German Research Center for Environmental Health
    Duke University)

  • Maria A. Wörheide

    (German Research Center for Environmental Health)

  • Karsten Suhre

    (Weill Cornell Medicine-Qatar)

  • Gabi Kastenmüller

    (German Research Center for Environmental Health)

  • Anurag Sethi

    (Calico Life Sciences)

  • Madeleine Cule

    (Calico Life Sciences)

  • Anil Raj

    (Calico Life Sciences)

  • Lucy Burkitt-Gray

    (UK Biobank)

  • Eugene Melamud

    (Calico Life Sciences)

  • Mary Helen Black

    (Janssen Research & Development)

  • Eric B. Fauman

    (Pfizer)

  • Joanna M. M. Howson

    (Novo Nordisk Research Centre Oxford)

  • Hyun Min Kang

    (Regeneron Genetics Center)

  • Mark I. McCarthy

    (Genentech)

  • Paul Nioi

    (Alnylam Pharmaceuticals)

  • Slavé Petrovski

    (AstraZeneca
    University of Melbourne, Austin Health)

  • Robert A. Scott

    (GlaxoSmithKline)

  • Erin N. Smith

    (Takeda Development Center Americas)

  • Sándor Szalma

    (Takeda Development Center Americas)

  • Dawn M. Waterworth

    (Janssen Research & Development)

  • Lyndon J. Mitnaul

    (Regeneron Genetics Center)

  • Joseph D. Szustakowski

    (Bristol Myers Squibb)

  • Bradford W. Gibson

    (Amgen Research)

  • Melissa R. Miller

    (Pfizer)

  • Christopher D. Whelan

    (Biogen
    Janssen Research & Development)

Abstract

The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. Here we provide a detailed summary of this initiative, including technical and biological validations, insights into proteomic disease signatures, and prediction modelling for various demographic and health indicators. We present comprehensive protein quantitative trait locus (pQTL) mapping of 2,923 proteins that identifies 14,287 primary genetic associations, of which 81% are previously undescribed, alongside ancestry-specific pQTL mapping in non-European individuals. The study provides an updated characterization of the genetic architecture of the plasma proteome, contextualized with projected pQTL discovery rates as sample sizes and proteomic assay coverages increase over time. We offer extensive insights into trans pQTLs across multiple biological domains, highlight genetic influences on ligand–receptor interactions and pathway perturbations across a diverse collection of cytokines and complement networks, and illustrate long-range epistatic effects of ABO blood group and FUT2 secretor status on proteins with gastrointestinal tissue-enriched expression. We demonstrate the utility of these data for drug discovery by extending the genetic proxied effects of protein targets, such as PCSK9, on additional endpoints, and disentangle specific genes and proteins perturbed at loci associated with COVID-19 susceptibility. This public–private partnership provides the scientific community with an open-access proteomics resource of considerable breadth and depth to help to elucidate the biological mechanisms underlying proteo-genomic discoveries and accelerate the development of biomarkers, predictive models and therapeutics1.

Suggested Citation

  • Benjamin B. Sun & Joshua Chiou & Matthew Traylor & Christian Benner & Yi-Hsiang Hsu & Tom G. Richardson & Praveen Surendran & Anubha Mahajan & Chloe Robins & Steven G. Vasquez-Grinnell & Liping Hou & , 2023. "Plasma proteomic associations with genetics and health in the UK Biobank," Nature, Nature, vol. 622(7982), pages 329-338, October.
  • Handle: RePEc:nat:nature:v:622:y:2023:i:7982:d:10.1038_s41586-023-06592-6
    DOI: 10.1038/s41586-023-06592-6
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    Cited by:

    1. Karsten Suhre & Guhan Ram Venkataraman & Harendra Guturu & Anna Halama & Nisha Stephan & Gaurav Thareja & Hina Sarwath & Khatereh Motamedchaboki & Margaret K. R. Donovan & Asim Siddiqui & Serafim Batz, 2024. "Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Anders Mälarstig & Felix Grassmann & Leo Dahl & Marios Dimitriou & Dianna McLeod & Marike Gabrielson & Karl Smith-Byrne & Cecilia E. Thomas & Tzu-Hsuan Huang & Simon K. G. Forsberg & Per Eriksson & Mi, 2023. "Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Keren Papier & Joshua R. Atkins & Tammy Y. N. Tong & Kezia Gaitskell & Trishna Desai & Chibuzor F. Ogamba & Mahboubeh Parsaeian & Gillian K. Reeves & Ian G. Mills & Tim J. Key & Karl Smith-Byrne & Rut, 2024. "Identifying proteomic risk factors for cancer using prospective and exome analyses of 1463 circulating proteins and risk of 19 cancers in the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Javier Botey-Bataller & Hedwig D. Vrijmoeth & Jeanine Ursinus & Bart-Jan Kullberg & Cees C. Wijngaard & Hadewych Hofstede & Ahmed Alaswad & Manoj K. Gupta & Lennart M. Roesner & Jochen Huehn & Thomas , 2024. "A comprehensive genetic map of cytokine responses in Lyme borreliosis," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    5. Jia You & Yu Guo & Yi Zhang & Ju-Jiao Kang & Lin-Bo Wang & Jian-Feng Feng & Wei Cheng & Jin-Tai Yu, 2023. "Plasma proteomic profiles predict individual future health risk," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    6. Rikke Linnemann Nielsen & Thomas Monfeuga & Robert R. Kitchen & Line Egerod & Luis G. Leal & August Thomas Hjortshøj Schreyer & Frederik Steensgaard Gade & Carol Sun & Marianne Helenius & Lotte Simons, 2024. "Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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