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A genome-wide association study of serum proteins reveals shared loci with common diseases

Author

Listed:
  • Alexander Gudjonsson

    (Icelandic Heart Association)

  • Valborg Gudmundsdottir

    (Icelandic Heart Association
    University of Iceland)

  • Gisli T. Axelsson

    (Icelandic Heart Association
    University of Iceland)

  • Elias F. Gudmundsson

    (Icelandic Heart Association)

  • Brynjolfur G. Jonsson

    (Icelandic Heart Association)

  • Lenore J. Launer

    (National Institute on Aging)

  • John R. Lamb

    (GNF Novartis)

  • Lori L. Jennings

    (Novartis Institutes for Biomedical Research)

  • Thor Aspelund

    (Icelandic Heart Association
    University of Iceland)

  • Valur Emilsson

    (Icelandic Heart Association
    University of Iceland)

  • Vilmundur Gudnason

    (Icelandic Heart Association
    University of Iceland)

Abstract

With the growing number of genetic association studies, the genotype-phenotype atlas has become increasingly more complex, yet the functional consequences of most disease associated alleles is not understood. The measurement of protein level variation in solid tissues and biofluids integrated with genetic variants offers a path to deeper functional insights. Here we present a large-scale proteogenomic study in 5,368 individuals, revealing 4,035 independent associations between genetic variants and 2,091 serum proteins, of which 36% are previously unreported. The majority of both cis- and trans-acting genetic signals are unique for a single protein, although our results also highlight numerous highly pleiotropic genetic effects on protein levels and demonstrate that a protein’s genetic association profile reflects certain characteristics of the protein, including its location in protein networks, tissue specificity and intolerance to loss of function mutations. Integrating protein measurements with deep phenotyping of the cohort, we observe substantial enrichment of phenotype associations for serum proteins regulated by established GWAS loci, and offer new insights into the interplay between genetics, serum protein levels and complex disease.

Suggested Citation

  • Alexander Gudjonsson & Valborg Gudmundsdottir & Gisli T. Axelsson & Elias F. Gudmundsson & Brynjolfur G. Jonsson & Lenore J. Launer & John R. Lamb & Lori L. Jennings & Thor Aspelund & Valur Emilsson &, 2022. "A genome-wide association study of serum proteins reveals shared loci with common diseases," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27850-z
    DOI: 10.1038/s41467-021-27850-z
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    1. Benjamin B. Sun & Joseph C. Maranville & James E. Peters & David Stacey & James R. Staley & James Blackshaw & Stephen Burgess & Tao Jiang & Ellie Paige & Praveen Surendran & Clare Oliver-Williams & Mi, 2018. "Genomic atlas of the human plasma proteome," Nature, Nature, vol. 558(7708), pages 73-79, June.
    2. Eric E. Schadt, 2009. "Molecular networks as sensors and drivers of common human diseases," Nature, Nature, vol. 461(7261), pages 218-223, September.
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    2. M. A. Zouache & B. T. Richards & C. M. Pappas & R. A. Anstadt & J. Liu & T. Corsetti & S. Matthews & N. A. Seager & S. Schmitz-Valckenberg & M. Fleckenstein & W. C. Hubbard & J. Thomas & J. L. Hageman, 2024. "Levels of complement factor H-related 4 protein do not influence susceptibility to age-related macular degeneration or its course of progression," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
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    4. Amil M. Shah & Peder L. Myhre & Victoria Arthur & Pranav Dorbala & Humaira Rasheed & Leo F. Buckley & Brian Claggett & Guning Liu & Jianzhong Ma & Ngoc Quynh Nguyen & Kunihiro Matsushita & Chiadi Ndum, 2024. "Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    5. Rongling Wang & Mario Gomez Salazar & Iris Pruñonosa Cervera & Amanda Coutts & Karen French & Marlene Magalhaes Pinto & Sabrina Gohlke & Ruben García-Martín & Matthias Blüher & Christopher J. Schofiel, 2024. "Adipocyte deletion of the oxygen-sensor PHD2 sustains elevated energy expenditure at thermoneutrality," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
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