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Whole-genome sequencing analysis of the cardiometabolic proteome
The human proteome is a crucial intermediate between complex diseases and their genetic and environmental components, and an important source of drug development targets and biomarkers. Here, we comprehensively assess the genetic architecture of 257 circulating protein biomarkers of cardiometabolic...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729872/ https://www.ncbi.nlm.nih.gov/pubmed/33303764 http://dx.doi.org/10.1038/s41467-020-20079-2 |
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author | Gilly, Arthur Park, Young-Chan Png, Grace Barysenka, Andrei Fischer, Iris Bjørnland, Thea Southam, Lorraine Suveges, Daniel Neumeyer, Sonja Rayner, N. William Tsafantakis, Emmanouil Karaleftheri, Maria Dedoussis, George Zeggini, Eleftheria |
author_facet | Gilly, Arthur Park, Young-Chan Png, Grace Barysenka, Andrei Fischer, Iris Bjørnland, Thea Southam, Lorraine Suveges, Daniel Neumeyer, Sonja Rayner, N. William Tsafantakis, Emmanouil Karaleftheri, Maria Dedoussis, George Zeggini, Eleftheria |
author_sort | Gilly, Arthur |
collection | PubMed |
description | The human proteome is a crucial intermediate between complex diseases and their genetic and environmental components, and an important source of drug development targets and biomarkers. Here, we comprehensively assess the genetic architecture of 257 circulating protein biomarkers of cardiometabolic relevance through high-depth (22.5×) whole-genome sequencing (WGS) in 1328 individuals. We discover 131 independent sequence variant associations (P < 7.45 × 10(−11)) across the allele frequency spectrum, all of which replicate in an independent cohort (n = 1605, 18.4x WGS). We identify for the first time replicating evidence for rare-variant cis-acting protein quantitative trait loci for five genes, involving both coding and noncoding variation. We construct and validate polygenic scores that explain up to 45% of protein level variation. We find causal links between protein levels and disease risk, identifying high-value biomarkers and drug development targets. |
format | Online Article Text |
id | pubmed-7729872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77298722020-12-17 Whole-genome sequencing analysis of the cardiometabolic proteome Gilly, Arthur Park, Young-Chan Png, Grace Barysenka, Andrei Fischer, Iris Bjørnland, Thea Southam, Lorraine Suveges, Daniel Neumeyer, Sonja Rayner, N. William Tsafantakis, Emmanouil Karaleftheri, Maria Dedoussis, George Zeggini, Eleftheria Nat Commun Article The human proteome is a crucial intermediate between complex diseases and their genetic and environmental components, and an important source of drug development targets and biomarkers. Here, we comprehensively assess the genetic architecture of 257 circulating protein biomarkers of cardiometabolic relevance through high-depth (22.5×) whole-genome sequencing (WGS) in 1328 individuals. We discover 131 independent sequence variant associations (P < 7.45 × 10(−11)) across the allele frequency spectrum, all of which replicate in an independent cohort (n = 1605, 18.4x WGS). We identify for the first time replicating evidence for rare-variant cis-acting protein quantitative trait loci for five genes, involving both coding and noncoding variation. We construct and validate polygenic scores that explain up to 45% of protein level variation. We find causal links between protein levels and disease risk, identifying high-value biomarkers and drug development targets. Nature Publishing Group UK 2020-12-10 /pmc/articles/PMC7729872/ /pubmed/33303764 http://dx.doi.org/10.1038/s41467-020-20079-2 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gilly, Arthur Park, Young-Chan Png, Grace Barysenka, Andrei Fischer, Iris Bjørnland, Thea Southam, Lorraine Suveges, Daniel Neumeyer, Sonja Rayner, N. William Tsafantakis, Emmanouil Karaleftheri, Maria Dedoussis, George Zeggini, Eleftheria Whole-genome sequencing analysis of the cardiometabolic proteome |
title | Whole-genome sequencing analysis of the cardiometabolic proteome |
title_full | Whole-genome sequencing analysis of the cardiometabolic proteome |
title_fullStr | Whole-genome sequencing analysis of the cardiometabolic proteome |
title_full_unstemmed | Whole-genome sequencing analysis of the cardiometabolic proteome |
title_short | Whole-genome sequencing analysis of the cardiometabolic proteome |
title_sort | whole-genome sequencing analysis of the cardiometabolic proteome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729872/ https://www.ncbi.nlm.nih.gov/pubmed/33303764 http://dx.doi.org/10.1038/s41467-020-20079-2 |
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