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Rare variant associations with plasma protein levels in the UK Biobank
Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets(1–4). Because previous proteogenomic studies have focused on common variation via genome-wide association studies, the contribution of rare variants to the plasma p...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567546/ https://www.ncbi.nlm.nih.gov/pubmed/37794183 http://dx.doi.org/10.1038/s41586-023-06547-x |
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author | 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 |
author_facet | 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 |
author_sort | Dhindsa, Ryan S. |
collection | PubMed |
description | Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets(1–4). 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 cohort(5). 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. |
format | Online Article Text |
id | pubmed-10567546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105675462023-10-13 Rare variant associations with plasma protein levels in the UK Biobank 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 Nature Article Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets(1–4). 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 cohort(5). 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. Nature Publishing Group UK 2023-10-04 2023 /pmc/articles/PMC10567546/ /pubmed/37794183 http://dx.doi.org/10.1038/s41586-023-06547-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Rare variant associations with plasma protein levels in the UK Biobank |
title | Rare variant associations with plasma protein levels in the UK Biobank |
title_full | Rare variant associations with plasma protein levels in the UK Biobank |
title_fullStr | Rare variant associations with plasma protein levels in the UK Biobank |
title_full_unstemmed | Rare variant associations with plasma protein levels in the UK Biobank |
title_short | Rare variant associations with plasma protein levels in the UK Biobank |
title_sort | rare variant associations with plasma protein levels in the uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567546/ https://www.ncbi.nlm.nih.gov/pubmed/37794183 http://dx.doi.org/10.1038/s41586-023-06547-x |
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