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Rare variant associations with plasma protein levels in the UK Biobank

Author

Listed:
  • Ryan S. Dhindsa

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Oliver S. Burren

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Benjamin B. Sun

    (Translational Sciences, Research & Development, Biogen Inc.)

  • Bram P. Prins

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Dorota Matelska

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Eleanor Wheeler

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Jonathan Mitchell

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Erin Oerton

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Ventzislava A. Hristova

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Katherine R. Smith

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Keren Carss

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Sebastian Wasilewski

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Andrew R. Harper

    (Clinical Development, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca)

  • Dirk S. Paul

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Margarete A. Fabre

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Heiko Runz

    (Translational Sciences, Research & Development, Biogen Inc.)

  • Coralie Viollet

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Benjamin Challis

    (Translational Science and Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca)

  • Adam Platt

    (Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca)

  • Dimitrios Vitsios

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Euan A. Ashley

    (Stanford University)

  • Christopher D. Whelan

    (Translational Sciences, Research & Development, Biogen Inc.)

  • Menelas N. Pangalos

    (BioPharmaceuticals R&D, AstraZeneca)

  • Quanli Wang

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca)

  • Slavé Petrovski

    (Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca
    University of Melbourne)

Abstract

Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets1–4. Because previous proteogenomic studies have focused on common variation via genome-wide association studies, the contribution of rare variants to the plasma proteome remains largely unknown. Here we identify associations between rare protein-coding variants and 2,923 plasma protein abundances measured in 49,736 UK Biobank individuals. Our variant-level exome-wide association study identified 5,433 rare genotype–protein associations, of which 81% were undetected in a previous genome-wide association study of the same cohort5. We then looked at aggregate signals using gene-level collapsing analysis, which revealed 1,962 gene–protein associations. Of the 691 gene-level signals from protein-truncating variants, 99.4% were associated with decreased protein levels. STAB1 and STAB2, encoding scavenger receptors involved in plasma protein clearance, emerged as pleiotropic loci, with 77 and 41 protein associations, respectively. We demonstrate the utility of our publicly accessible resource through several applications. These include detailing an allelic series in NLRC4, identifying potential biomarkers for a fatty liver disease-associated variant in HSD17B13 and bolstering phenome-wide association studies by integrating protein quantitative trait loci with protein-truncating variants in collapsing analyses. Finally, we uncover distinct proteomic consequences of clonal haematopoiesis (CH), including an association between TET2-CH and increased FLT3 levels. Our results highlight a considerable role for rare variation in plasma protein abundance and the value of proteogenomics in therapeutic discovery.

Suggested Citation

  • Ryan S. Dhindsa & Oliver S. Burren & Benjamin B. Sun & Bram P. Prins & Dorota Matelska & Eleanor Wheeler & Jonathan Mitchell & Erin Oerton & Ventzislava A. Hristova & Katherine R. Smith & Keren Carss , 2023. "Rare variant associations with plasma protein levels in the UK Biobank," Nature, Nature, vol. 622(7982), pages 339-347, October.
  • Handle: RePEc:nat:nature:v:622:y:2023:i:7982:d:10.1038_s41586-023-06547-x
    DOI: 10.1038/s41586-023-06547-x
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    Cited by:

    1. 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.

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