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Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort
BACKGROUND: The human plasma proteome is important for many biological processes and targets for diagnostics and therapy. It is therefore of great interest to understand the interplay of genetic and environmental factors to determine the specific protein levels in individuals and to gain a deeper in...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310558/ https://www.ncbi.nlm.nih.gov/pubmed/32576278 http://dx.doi.org/10.1186/s13073-020-00755-0 |
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author | Zhong, Wen Gummesson, Anders Tebani, Abdellah Karlsson, Max J. Hong, Mun-Gwan Schwenk, Jochen M. Edfors, Fredrik Bergström, Göran Fagerberg, Linn Uhlén, Mathias |
author_facet | Zhong, Wen Gummesson, Anders Tebani, Abdellah Karlsson, Max J. Hong, Mun-Gwan Schwenk, Jochen M. Edfors, Fredrik Bergström, Göran Fagerberg, Linn Uhlén, Mathias |
author_sort | Zhong, Wen |
collection | PubMed |
description | BACKGROUND: The human plasma proteome is important for many biological processes and targets for diagnostics and therapy. It is therefore of great interest to understand the interplay of genetic and environmental factors to determine the specific protein levels in individuals and to gain a deeper insight of the importance of genetic architecture related to the individual variability of plasma levels of proteins during adult life. METHODS: We have combined whole-genome sequencing, multiplex plasma protein profiling, and extensive clinical phenotyping in a longitudinal 2-year wellness study of 101 healthy individuals with repeated sampling. Analyses of genetic and non-genetic associations related to the variability of blood levels of proteins in these individuals were performed. RESULTS: The analyses showed that each individual has a unique protein profile, and we report on the intra-individual as well as inter-individual variation for 794 plasma proteins. A genome-wide association study (GWAS) using 7.3 million genetic variants identified by whole-genome sequencing revealed 144 independent variants across 107 proteins that showed strong association (P < 6 × 10(−11)) between genetics and the inter-individual variability on protein levels. Many proteins not reported before were identified (67 out of 107) with individual plasma level affected by genetics. Our longitudinal analysis further demonstrates that these levels are stable during the 2-year study period. The variability of protein profiles as a consequence of environmental factors was also analyzed with focus on the effects of weight loss and infections. CONCLUSIONS: We show that the adult blood levels of many proteins are determined at birth by genetics, which is important for efforts aimed to understand the relationship between plasma proteome profiles and human biology and disease. |
format | Online Article Text |
id | pubmed-7310558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73105582020-06-24 Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort Zhong, Wen Gummesson, Anders Tebani, Abdellah Karlsson, Max J. Hong, Mun-Gwan Schwenk, Jochen M. Edfors, Fredrik Bergström, Göran Fagerberg, Linn Uhlén, Mathias Genome Med Research BACKGROUND: The human plasma proteome is important for many biological processes and targets for diagnostics and therapy. It is therefore of great interest to understand the interplay of genetic and environmental factors to determine the specific protein levels in individuals and to gain a deeper insight of the importance of genetic architecture related to the individual variability of plasma levels of proteins during adult life. METHODS: We have combined whole-genome sequencing, multiplex plasma protein profiling, and extensive clinical phenotyping in a longitudinal 2-year wellness study of 101 healthy individuals with repeated sampling. Analyses of genetic and non-genetic associations related to the variability of blood levels of proteins in these individuals were performed. RESULTS: The analyses showed that each individual has a unique protein profile, and we report on the intra-individual as well as inter-individual variation for 794 plasma proteins. A genome-wide association study (GWAS) using 7.3 million genetic variants identified by whole-genome sequencing revealed 144 independent variants across 107 proteins that showed strong association (P < 6 × 10(−11)) between genetics and the inter-individual variability on protein levels. Many proteins not reported before were identified (67 out of 107) with individual plasma level affected by genetics. Our longitudinal analysis further demonstrates that these levels are stable during the 2-year study period. The variability of protein profiles as a consequence of environmental factors was also analyzed with focus on the effects of weight loss and infections. CONCLUSIONS: We show that the adult blood levels of many proteins are determined at birth by genetics, which is important for efforts aimed to understand the relationship between plasma proteome profiles and human biology and disease. BioMed Central 2020-06-23 /pmc/articles/PMC7310558/ /pubmed/32576278 http://dx.doi.org/10.1186/s13073-020-00755-0 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhong, Wen Gummesson, Anders Tebani, Abdellah Karlsson, Max J. Hong, Mun-Gwan Schwenk, Jochen M. Edfors, Fredrik Bergström, Göran Fagerberg, Linn Uhlén, Mathias Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
title | Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
title_full | Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
title_fullStr | Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
title_full_unstemmed | Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
title_short | Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
title_sort | whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310558/ https://www.ncbi.nlm.nih.gov/pubmed/32576278 http://dx.doi.org/10.1186/s13073-020-00755-0 |
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