Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations
Low frequency coding single-nucleotide variants (SNVs) are predicted to disproportionately affect protein function. Here, the authors evaluate 2,009 missense SNVs across 2,185 protein-protein interactions using yeast two-hybrid and protein complementation assays and find that disruptive SNVs often o...
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Nature Portfolio
2019
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oai:doaj.org-article:6ca43b750ead45778c9bbf8306bf15462021-12-02T16:58:04ZExtensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations10.1038/s41467-019-11959-32041-1723https://doaj.org/article/6ca43b750ead45778c9bbf8306bf15462019-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11959-3https://doaj.org/toc/2041-1723Low frequency coding single-nucleotide variants (SNVs) are predicted to disproportionately affect protein function. Here, the authors evaluate 2,009 missense SNVs across 2,185 protein-protein interactions using yeast two-hybrid and protein complementation assays and find that disruptive SNVs often occur in disease-associated genes.Robert FragozaJishnu DasShayne D. WierbowskiJin LiangTina N. TranSiqi LiangJuan F. BeltranChristen A. Rivera-ErickKaixiong YeTing-Yi WangLi YaoMatthew MortPeter D. StensonDavid N. CooperXiaomu WeiAlon KeinanJohn C. SchimentiAndrew G. ClarkHaiyuan YuNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-15 (2019) |
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Science Q Robert Fragoza Jishnu Das Shayne D. Wierbowski Jin Liang Tina N. Tran Siqi Liang Juan F. Beltran Christen A. Rivera-Erick Kaixiong Ye Ting-Yi Wang Li Yao Matthew Mort Peter D. Stenson David N. Cooper Xiaomu Wei Alon Keinan John C. Schimenti Andrew G. Clark Haiyuan Yu Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
description |
Low frequency coding single-nucleotide variants (SNVs) are predicted to disproportionately affect protein function. Here, the authors evaluate 2,009 missense SNVs across 2,185 protein-protein interactions using yeast two-hybrid and protein complementation assays and find that disruptive SNVs often occur in disease-associated genes. |
format |
article |
author |
Robert Fragoza Jishnu Das Shayne D. Wierbowski Jin Liang Tina N. Tran Siqi Liang Juan F. Beltran Christen A. Rivera-Erick Kaixiong Ye Ting-Yi Wang Li Yao Matthew Mort Peter D. Stenson David N. Cooper Xiaomu Wei Alon Keinan John C. Schimenti Andrew G. Clark Haiyuan Yu |
author_facet |
Robert Fragoza Jishnu Das Shayne D. Wierbowski Jin Liang Tina N. Tran Siqi Liang Juan F. Beltran Christen A. Rivera-Erick Kaixiong Ye Ting-Yi Wang Li Yao Matthew Mort Peter D. Stenson David N. Cooper Xiaomu Wei Alon Keinan John C. Schimenti Andrew G. Clark Haiyuan Yu |
author_sort |
Robert Fragoza |
title |
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
title_short |
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
title_full |
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
title_fullStr |
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
title_full_unstemmed |
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
title_sort |
extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/6ca43b750ead45778c9bbf8306bf1546 |
work_keys_str_mv |
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