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Detection and replication of epistasis influencing transcription in humans
Epistasis is the phenomenon whereby one polymorphism’s effect on a trait depends on other polymorphisms present in the genome. The extent to which epistasis influences complex traits(1) and contributes to their variation(2,3) is a fundamental question in evolution and human genetics. Though often de...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984375/ https://www.ncbi.nlm.nih.gov/pubmed/24572353 http://dx.doi.org/10.1038/nature13005 |
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author | Hemani, Gibran Shakhbazov, Konstantin Westra, Harm-Jan Esko, Tonu Henders, Anjali K. McRae, Allan F. Yang, Jian Gibson, Greg Martin, Nicholas G. Metspalu, Andres Franke, Lude Montgomery, Grant W. Visscher, Peter M Powell, Joseph E |
author_facet | Hemani, Gibran Shakhbazov, Konstantin Westra, Harm-Jan Esko, Tonu Henders, Anjali K. McRae, Allan F. Yang, Jian Gibson, Greg Martin, Nicholas G. Metspalu, Andres Franke, Lude Montgomery, Grant W. Visscher, Peter M Powell, Joseph E |
author_sort | Hemani, Gibran |
collection | PubMed |
description | Epistasis is the phenomenon whereby one polymorphism’s effect on a trait depends on other polymorphisms present in the genome. The extent to which epistasis influences complex traits(1) and contributes to their variation(2,3) is a fundamental question in evolution and human genetics. Though often demonstrated in artificial gene manipulation studies in model organisms(4,5), and some examples have been reported in other species(6), few examples exist for epistasis amongst natural polymorphisms in human traits(7,8). Its absence from empirical findings may simply be due to low incidence in the genetic control of complex traits(2,3), but an alternative view is that it has previously been too technically challenging to detect due to statistical and computational issues(9). Here we show that, using advanced computation(10) and a gene expression study design, many instances of epistasis are found between common single nucleotide polymorphisms (SNPs). In a cohort of 846 individuals with 7339 gene expression levels measured in peripheral blood, we found 501 significant pairwise interactions between common SNPs influencing the expression of 238 genes (p < 2.91 × 10(−16)). Replication of these interactions in two independent data sets(11,12) showed both concordance of direction of epistatic effects (p = 5.56 ×10(−31)) and enrichment of interaction p-values, with 30 being significant at a conservative threshold of p < 0.05/501. Forty-four of the genetic interactions are located within 2Mb of regions of known physical chromosome interactions(13) (p = 1.8 × 10(−10)). Epistatic networks of three SNPs or more influence the expression levels of 129 genes, whereby one cis-acting SNP is modulated by several trans-acting SNPs. For example MBNL1 is influenced by an additive effect at rs13069559 which itself is masked by trans-SNPs on 14 different chromosomes, with nearly identical genotype-phenotype (GP) maps for each cis-trans interaction. This study presents the first evidence for multiple instances of segregating common polymorphisms interacting to influence human traits. |
format | Online Article Text |
id | pubmed-3984375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-39843752014-10-10 Detection and replication of epistasis influencing transcription in humans Hemani, Gibran Shakhbazov, Konstantin Westra, Harm-Jan Esko, Tonu Henders, Anjali K. McRae, Allan F. Yang, Jian Gibson, Greg Martin, Nicholas G. Metspalu, Andres Franke, Lude Montgomery, Grant W. Visscher, Peter M Powell, Joseph E Nature Article Epistasis is the phenomenon whereby one polymorphism’s effect on a trait depends on other polymorphisms present in the genome. The extent to which epistasis influences complex traits(1) and contributes to their variation(2,3) is a fundamental question in evolution and human genetics. Though often demonstrated in artificial gene manipulation studies in model organisms(4,5), and some examples have been reported in other species(6), few examples exist for epistasis amongst natural polymorphisms in human traits(7,8). Its absence from empirical findings may simply be due to low incidence in the genetic control of complex traits(2,3), but an alternative view is that it has previously been too technically challenging to detect due to statistical and computational issues(9). Here we show that, using advanced computation(10) and a gene expression study design, many instances of epistasis are found between common single nucleotide polymorphisms (SNPs). In a cohort of 846 individuals with 7339 gene expression levels measured in peripheral blood, we found 501 significant pairwise interactions between common SNPs influencing the expression of 238 genes (p < 2.91 × 10(−16)). Replication of these interactions in two independent data sets(11,12) showed both concordance of direction of epistatic effects (p = 5.56 ×10(−31)) and enrichment of interaction p-values, with 30 being significant at a conservative threshold of p < 0.05/501. Forty-four of the genetic interactions are located within 2Mb of regions of known physical chromosome interactions(13) (p = 1.8 × 10(−10)). Epistatic networks of three SNPs or more influence the expression levels of 129 genes, whereby one cis-acting SNP is modulated by several trans-acting SNPs. For example MBNL1 is influenced by an additive effect at rs13069559 which itself is masked by trans-SNPs on 14 different chromosomes, with nearly identical genotype-phenotype (GP) maps for each cis-trans interaction. This study presents the first evidence for multiple instances of segregating common polymorphisms interacting to influence human traits. 2014-02-26 2014-04-10 /pmc/articles/PMC3984375/ /pubmed/24572353 http://dx.doi.org/10.1038/nature13005 Text en Users may view, print, copy, download and 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 Hemani, Gibran Shakhbazov, Konstantin Westra, Harm-Jan Esko, Tonu Henders, Anjali K. McRae, Allan F. Yang, Jian Gibson, Greg Martin, Nicholas G. Metspalu, Andres Franke, Lude Montgomery, Grant W. Visscher, Peter M Powell, Joseph E Detection and replication of epistasis influencing transcription in humans |
title | Detection and replication of epistasis influencing transcription in humans |
title_full | Detection and replication of epistasis influencing transcription in humans |
title_fullStr | Detection and replication of epistasis influencing transcription in humans |
title_full_unstemmed | Detection and replication of epistasis influencing transcription in humans |
title_short | Detection and replication of epistasis influencing transcription in humans |
title_sort | detection and replication of epistasis influencing transcription in humans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984375/ https://www.ncbi.nlm.nih.gov/pubmed/24572353 http://dx.doi.org/10.1038/nature13005 |
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