Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/33960
Title: Rare variant associations with plasma protein levels in the UK Biobank.
Austin Authors: Dhindsa, Ryan S;Burren, Oliver S;Sun, Benjamin B;Prins, Bram P;Matelska, Dorota;Wheeler, Eleanor;Mitchell, Jonathan;Oerton, Erin;Hristova, Ventzislava A;Smith, Katherine R;Carss, Keren;Wasilewski, Sebastian;Harper, Andrew R;Paul, Dirk S;Fabre, Margarete A;Runz, Heiko;Viollet, Coralie;Challis, Benjamin;Platt, Adam;Vitsios, Dimitrios;Ashley, Euan A;Whelan, Christopher D;Pangalos, Menelas N;Wang, Quanli;Petrovski, Slavé
Affiliation: Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, US.
Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Translational Sciences, Research & Development, Biogen Inc., Cambridge, MA, US.
Clinical Development, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Translational Sciences, Research & Development, Biogen Inc., Cambridge, MA, US.
Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Division of Cardiology, Department of Medicine, Stanford University, Palo Alto, CA, USA.
Translational Sciences, Research & Development, Biogen Inc., Cambridge, MA, US.
BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Medicine (University of Melbourne)
Issue Date: Oct-2023
Date: 2023
Publication information: Nature 2023-10; 622(7982)
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.
URI: https://ahro.austin.org.au/austinjspui/handle/1/33960
DOI: 10.1038/s41586-023-06547-x
ORCID: 0000-0002-8965-0813
0000-0001-6347-2281
0000-0002-8616-6444
0000-0002-7367-4263
0000-0003-4939-156X
0000-0001-5327-0328
0000-0002-8230-0116
0000-0002-3455-1789
0000-0002-8939-5445
0000-0001-9418-9577
0000-0003-0308-5583
Journal: Nature
PubMed URL: 37794183
ISSN: 1476-4687
Type: Journal Article
Appears in Collections:Journal articles

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