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The impact of structural variation on human gene expression
Structural variants (SVs) are an important source of human genetic diversity but their contribution to traits, disease, and gene regulation remains unclear. We mapped cis expression quantitative trait loci (eQTLs) in 13 tissues via joint analysis of SVs, single nucleotide (SNV), and short insertion/...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406250/ https://www.ncbi.nlm.nih.gov/pubmed/28369037 http://dx.doi.org/10.1038/ng.3834 |
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author | Chiang, Colby Scott, Alexandra J. Davis, Joe R. Tsang, Emily K. Li, Xin Kim, Yungil Hadzic, Tarik Damani, Farhan N. Ganel, Liron Montgomery, Stephen B. Battle, Alexis Conrad, Donald F. Hall, Ira M. |
author_facet | Chiang, Colby Scott, Alexandra J. Davis, Joe R. Tsang, Emily K. Li, Xin Kim, Yungil Hadzic, Tarik Damani, Farhan N. Ganel, Liron Montgomery, Stephen B. Battle, Alexis Conrad, Donald F. Hall, Ira M. |
author_sort | Chiang, Colby |
collection | PubMed |
description | Structural variants (SVs) are an important source of human genetic diversity but their contribution to traits, disease, and gene regulation remains unclear. We mapped cis expression quantitative trait loci (eQTLs) in 13 tissues via joint analysis of SVs, single nucleotide (SNV), and short insertion/deletion (indel) variants from deep whole genome sequencing (WGS). We estimate that SVs are causal at 3.5–6.8% of eQTLs – a substantially higher fraction than prior estimates – and that expression-altering SVs have larger effect sizes than SNVs and indels. We identified 789 putative causal SVs predicted to directly alter gene expression: most (88.3%) are noncoding variants enriched at enhancers and other regulatory elements, and 52 are linked to genome-wide association study loci. We observe a notable abundance of rare, high impact SVs associated with aberrant expression of nearby genes. These results suggest that comprehensive WGS-based SV analyses will increase the power of common and rare variant association studies. |
format | Online Article Text |
id | pubmed-5406250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-54062502017-10-03 The impact of structural variation on human gene expression Chiang, Colby Scott, Alexandra J. Davis, Joe R. Tsang, Emily K. Li, Xin Kim, Yungil Hadzic, Tarik Damani, Farhan N. Ganel, Liron Montgomery, Stephen B. Battle, Alexis Conrad, Donald F. Hall, Ira M. Nat Genet Article Structural variants (SVs) are an important source of human genetic diversity but their contribution to traits, disease, and gene regulation remains unclear. We mapped cis expression quantitative trait loci (eQTLs) in 13 tissues via joint analysis of SVs, single nucleotide (SNV), and short insertion/deletion (indel) variants from deep whole genome sequencing (WGS). We estimate that SVs are causal at 3.5–6.8% of eQTLs – a substantially higher fraction than prior estimates – and that expression-altering SVs have larger effect sizes than SNVs and indels. We identified 789 putative causal SVs predicted to directly alter gene expression: most (88.3%) are noncoding variants enriched at enhancers and other regulatory elements, and 52 are linked to genome-wide association study loci. We observe a notable abundance of rare, high impact SVs associated with aberrant expression of nearby genes. These results suggest that comprehensive WGS-based SV analyses will increase the power of common and rare variant association studies. 2017-04-03 2017-05 /pmc/articles/PMC5406250/ /pubmed/28369037 http://dx.doi.org/10.1038/ng.3834 Text en Users 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 Chiang, Colby Scott, Alexandra J. Davis, Joe R. Tsang, Emily K. Li, Xin Kim, Yungil Hadzic, Tarik Damani, Farhan N. Ganel, Liron Montgomery, Stephen B. Battle, Alexis Conrad, Donald F. Hall, Ira M. The impact of structural variation on human gene expression |
title | The impact of structural variation on human gene expression |
title_full | The impact of structural variation on human gene expression |
title_fullStr | The impact of structural variation on human gene expression |
title_full_unstemmed | The impact of structural variation on human gene expression |
title_short | The impact of structural variation on human gene expression |
title_sort | impact of structural variation on human gene expression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406250/ https://www.ncbi.nlm.nih.gov/pubmed/28369037 http://dx.doi.org/10.1038/ng.3834 |
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