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Rare variants regulate expression of nearby individual genes in multiple tissues
The rapid decrease in sequencing cost has enabled genetic studies to discover rare variants associated with complex diseases and traits. Once this association is identified, the next step is to understand the genetic mechanism of rare variants on how the variants influence diseases. Similar to the h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195400/ https://www.ncbi.nlm.nih.gov/pubmed/34061836 http://dx.doi.org/10.1371/journal.pgen.1009596 |
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author | Li, Jiajin Kong, Nahyun Han, Buhm Sul, Jae Hoon |
author_facet | Li, Jiajin Kong, Nahyun Han, Buhm Sul, Jae Hoon |
author_sort | Li, Jiajin |
collection | PubMed |
description | The rapid decrease in sequencing cost has enabled genetic studies to discover rare variants associated with complex diseases and traits. Once this association is identified, the next step is to understand the genetic mechanism of rare variants on how the variants influence diseases. Similar to the hypothesis of common variants, rare variants may affect diseases by regulating gene expression, and recently, several studies have identified the effects of rare variants on gene expression using heritability and expression outlier analyses. However, identifying individual genes whose expression is regulated by rare variants has been challenging due to the relatively small sample size of expression quantitative trait loci studies and statistical approaches not optimized to detect the effects of rare variants. In this study, we analyze whole-genome sequencing and RNA-seq data of 681 European individuals collected for the Genotype-Tissue Expression (GTEx) project (v8) to identify individual genes in 49 human tissues whose expression is regulated by rare variants. To improve statistical power, we develop an approach based on a likelihood ratio test that combines effects of multiple rare variants in a nonlinear manner and has higher power than previous approaches. Using GTEx data, we identify many genes regulated by rare variants, and some of them are only regulated by rare variants and not by common variants. We also find that genes regulated by rare variants are enriched for expression outliers and disease-causing genes. These results suggest the regulatory effects of rare variants, which would be important in interpreting associations of rare variants with complex traits. |
format | Online Article Text |
id | pubmed-8195400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81954002021-06-21 Rare variants regulate expression of nearby individual genes in multiple tissues Li, Jiajin Kong, Nahyun Han, Buhm Sul, Jae Hoon PLoS Genet Methods The rapid decrease in sequencing cost has enabled genetic studies to discover rare variants associated with complex diseases and traits. Once this association is identified, the next step is to understand the genetic mechanism of rare variants on how the variants influence diseases. Similar to the hypothesis of common variants, rare variants may affect diseases by regulating gene expression, and recently, several studies have identified the effects of rare variants on gene expression using heritability and expression outlier analyses. However, identifying individual genes whose expression is regulated by rare variants has been challenging due to the relatively small sample size of expression quantitative trait loci studies and statistical approaches not optimized to detect the effects of rare variants. In this study, we analyze whole-genome sequencing and RNA-seq data of 681 European individuals collected for the Genotype-Tissue Expression (GTEx) project (v8) to identify individual genes in 49 human tissues whose expression is regulated by rare variants. To improve statistical power, we develop an approach based on a likelihood ratio test that combines effects of multiple rare variants in a nonlinear manner and has higher power than previous approaches. Using GTEx data, we identify many genes regulated by rare variants, and some of them are only regulated by rare variants and not by common variants. We also find that genes regulated by rare variants are enriched for expression outliers and disease-causing genes. These results suggest the regulatory effects of rare variants, which would be important in interpreting associations of rare variants with complex traits. Public Library of Science 2021-06-01 /pmc/articles/PMC8195400/ /pubmed/34061836 http://dx.doi.org/10.1371/journal.pgen.1009596 Text en © 2021 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Methods Li, Jiajin Kong, Nahyun Han, Buhm Sul, Jae Hoon Rare variants regulate expression of nearby individual genes in multiple tissues |
title | Rare variants regulate expression of nearby individual genes in multiple tissues |
title_full | Rare variants regulate expression of nearby individual genes in multiple tissues |
title_fullStr | Rare variants regulate expression of nearby individual genes in multiple tissues |
title_full_unstemmed | Rare variants regulate expression of nearby individual genes in multiple tissues |
title_short | Rare variants regulate expression of nearby individual genes in multiple tissues |
title_sort | rare variants regulate expression of nearby individual genes in multiple tissues |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195400/ https://www.ncbi.nlm.nih.gov/pubmed/34061836 http://dx.doi.org/10.1371/journal.pgen.1009596 |
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