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Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases
The human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Me...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610464/ https://www.ncbi.nlm.nih.gov/pubmed/32895551 http://dx.doi.org/10.1038/s41588-020-0682-6 |
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author | Zheng, Jie Haberland, Valeriia Baird, Denis Walker, Venexia Haycock, Philip C. Hurle, Mark R. Gutteridge, Alex Erola, Pau Liu, Yi Luo, Shan Robinson, Jamie Richardson, Tom G. Staley, James R. Elsworth, Benjamin Burgess, Stephen Sun, Benjamin B. Danesh, John Runz, Heiko Maranville, Joseph C. Martin, Hannah M. Yarmolinsky, James Laurin, Charles Holmes, Michael V. Liu, Jimmy Z. Estrada, Karol Santos, Rita McCarthy, Linda Waterworth, Dawn Nelson, Matthew R. Smith, George Davey Butterworth, Adam S. Hemani, Gibran Scott, Robert A. Gaunt, Tom R. |
author_facet | Zheng, Jie Haberland, Valeriia Baird, Denis Walker, Venexia Haycock, Philip C. Hurle, Mark R. Gutteridge, Alex Erola, Pau Liu, Yi Luo, Shan Robinson, Jamie Richardson, Tom G. Staley, James R. Elsworth, Benjamin Burgess, Stephen Sun, Benjamin B. Danesh, John Runz, Heiko Maranville, Joseph C. Martin, Hannah M. Yarmolinsky, James Laurin, Charles Holmes, Michael V. Liu, Jimmy Z. Estrada, Karol Santos, Rita McCarthy, Linda Waterworth, Dawn Nelson, Matthew R. Smith, George Davey Butterworth, Adam S. Hemani, Gibran Scott, Robert A. Gaunt, Tom R. |
author_sort | Zheng, Jie |
collection | PubMed |
description | The human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium (LD) is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes (www.epigraphdb.org/pqtl/). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets. |
format | Online Article Text |
id | pubmed-7610464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76104642021-03-29 Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases Zheng, Jie Haberland, Valeriia Baird, Denis Walker, Venexia Haycock, Philip C. Hurle, Mark R. Gutteridge, Alex Erola, Pau Liu, Yi Luo, Shan Robinson, Jamie Richardson, Tom G. Staley, James R. Elsworth, Benjamin Burgess, Stephen Sun, Benjamin B. Danesh, John Runz, Heiko Maranville, Joseph C. Martin, Hannah M. Yarmolinsky, James Laurin, Charles Holmes, Michael V. Liu, Jimmy Z. Estrada, Karol Santos, Rita McCarthy, Linda Waterworth, Dawn Nelson, Matthew R. Smith, George Davey Butterworth, Adam S. Hemani, Gibran Scott, Robert A. Gaunt, Tom R. Nat Genet Article The human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium (LD) is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes (www.epigraphdb.org/pqtl/). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets. 2020-10-01 2020-09-07 /pmc/articles/PMC7610464/ /pubmed/32895551 http://dx.doi.org/10.1038/s41588-020-0682-6 Text en http://www.nature.com/authors/editorial_policies/license.html#termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Zheng, Jie Haberland, Valeriia Baird, Denis Walker, Venexia Haycock, Philip C. Hurle, Mark R. Gutteridge, Alex Erola, Pau Liu, Yi Luo, Shan Robinson, Jamie Richardson, Tom G. Staley, James R. Elsworth, Benjamin Burgess, Stephen Sun, Benjamin B. Danesh, John Runz, Heiko Maranville, Joseph C. Martin, Hannah M. Yarmolinsky, James Laurin, Charles Holmes, Michael V. Liu, Jimmy Z. Estrada, Karol Santos, Rita McCarthy, Linda Waterworth, Dawn Nelson, Matthew R. Smith, George Davey Butterworth, Adam S. Hemani, Gibran Scott, Robert A. Gaunt, Tom R. Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases |
title | Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases |
title_full | Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases |
title_fullStr | Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases |
title_full_unstemmed | Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases |
title_short | Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases |
title_sort | phenome-wide mendelian randomization mapping the influence of the plasma proteome on complex diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610464/ https://www.ncbi.nlm.nih.gov/pubmed/32895551 http://dx.doi.org/10.1038/s41588-020-0682-6 |
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