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Rare variants in drug target genes contributing to complex diseases, phenome-wide

The DrugBank database consists of ~800 genes that are well characterized drug targets. This list of genes is a useful resource for association testing. For example, loss of function (LOF) genetic variation has the potential to mimic the effect of drugs, and high impact variation in these genes can i...

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Autores principales: Verma, Shefali Setia, Josyula, Navya, Verma, Anurag, Zhang, Xinyuan, Veturi, Yogasudha, Dewey, Frederick E., Hartzel, Dustin N., Lavage, Daniel R., Leader, Joe, Ritchie, Marylyn D., Pendergrass, Sarah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854600/
https://www.ncbi.nlm.nih.gov/pubmed/29545597
http://dx.doi.org/10.1038/s41598-018-22834-4
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author Verma, Shefali Setia
Josyula, Navya
Verma, Anurag
Zhang, Xinyuan
Veturi, Yogasudha
Dewey, Frederick E.
Hartzel, Dustin N.
Lavage, Daniel R.
Leader, Joe
Ritchie, Marylyn D.
Pendergrass, Sarah A.
author_facet Verma, Shefali Setia
Josyula, Navya
Verma, Anurag
Zhang, Xinyuan
Veturi, Yogasudha
Dewey, Frederick E.
Hartzel, Dustin N.
Lavage, Daniel R.
Leader, Joe
Ritchie, Marylyn D.
Pendergrass, Sarah A.
author_sort Verma, Shefali Setia
collection PubMed
description The DrugBank database consists of ~800 genes that are well characterized drug targets. This list of genes is a useful resource for association testing. For example, loss of function (LOF) genetic variation has the potential to mimic the effect of drugs, and high impact variation in these genes can impact downstream traits. Identifying novel associations between genetic variation in these genes and a range of diseases can also uncover new uses for the drugs that target these genes. Phenome Wide Association Studies (PheWAS) have been successful in identifying genetic associations across hundreds of thousands of diseases. We have conducted a novel gene based PheWAS to test the effect of rare variants in DrugBank genes, evaluating associations between these genes and more than 500 quantitative and dichotomous phenotypes. We used whole exome sequencing data from 38,568 samples in Geisinger MyCode Community Health Initiative. We evaluated the results of this study when binning rare variants using various filters based on potential functional impact. We identified multiple novel associations, and the majority of the significant associations were driven by functionally annotated variation. Overall, this study provides a sweeping exploration of rare variant associations within functionally relevant genes across a wide range of diagnoses.
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spelling pubmed-58546002018-03-22 Rare variants in drug target genes contributing to complex diseases, phenome-wide Verma, Shefali Setia Josyula, Navya Verma, Anurag Zhang, Xinyuan Veturi, Yogasudha Dewey, Frederick E. Hartzel, Dustin N. Lavage, Daniel R. Leader, Joe Ritchie, Marylyn D. Pendergrass, Sarah A. Sci Rep Article The DrugBank database consists of ~800 genes that are well characterized drug targets. This list of genes is a useful resource for association testing. For example, loss of function (LOF) genetic variation has the potential to mimic the effect of drugs, and high impact variation in these genes can impact downstream traits. Identifying novel associations between genetic variation in these genes and a range of diseases can also uncover new uses for the drugs that target these genes. Phenome Wide Association Studies (PheWAS) have been successful in identifying genetic associations across hundreds of thousands of diseases. We have conducted a novel gene based PheWAS to test the effect of rare variants in DrugBank genes, evaluating associations between these genes and more than 500 quantitative and dichotomous phenotypes. We used whole exome sequencing data from 38,568 samples in Geisinger MyCode Community Health Initiative. We evaluated the results of this study when binning rare variants using various filters based on potential functional impact. We identified multiple novel associations, and the majority of the significant associations were driven by functionally annotated variation. Overall, this study provides a sweeping exploration of rare variant associations within functionally relevant genes across a wide range of diagnoses. Nature Publishing Group UK 2018-03-15 /pmc/articles/PMC5854600/ /pubmed/29545597 http://dx.doi.org/10.1038/s41598-018-22834-4 Text en © The Author(s) 2018 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
Verma, Shefali Setia
Josyula, Navya
Verma, Anurag
Zhang, Xinyuan
Veturi, Yogasudha
Dewey, Frederick E.
Hartzel, Dustin N.
Lavage, Daniel R.
Leader, Joe
Ritchie, Marylyn D.
Pendergrass, Sarah A.
Rare variants in drug target genes contributing to complex diseases, phenome-wide
title Rare variants in drug target genes contributing to complex diseases, phenome-wide
title_full Rare variants in drug target genes contributing to complex diseases, phenome-wide
title_fullStr Rare variants in drug target genes contributing to complex diseases, phenome-wide
title_full_unstemmed Rare variants in drug target genes contributing to complex diseases, phenome-wide
title_short Rare variants in drug target genes contributing to complex diseases, phenome-wide
title_sort rare variants in drug target genes contributing to complex diseases, phenome-wide
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854600/
https://www.ncbi.nlm.nih.gov/pubmed/29545597
http://dx.doi.org/10.1038/s41598-018-22834-4
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