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Fine-mapping cis-regulatory variants in diverse human populations

Genome-wide association studies (GWAS) are a powerful approach for connecting genotype to phenotype. Most GWAS hits are located in cis-regulatory regions, but the underlying causal variants and their molecular mechanisms remain unknown. To better understand human cis-regulatory variation, we mapped...

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Autores principales: Tehranchi, Ashley, Hie, Brian, Dacre, Michael, Kaplow, Irene, Pettie, Kade, Combs, Peter, Fraser, Hunter B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335058/
https://www.ncbi.nlm.nih.gov/pubmed/30650056
http://dx.doi.org/10.7554/eLife.39595
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author Tehranchi, Ashley
Hie, Brian
Dacre, Michael
Kaplow, Irene
Pettie, Kade
Combs, Peter
Fraser, Hunter B
author_facet Tehranchi, Ashley
Hie, Brian
Dacre, Michael
Kaplow, Irene
Pettie, Kade
Combs, Peter
Fraser, Hunter B
author_sort Tehranchi, Ashley
collection PubMed
description Genome-wide association studies (GWAS) are a powerful approach for connecting genotype to phenotype. Most GWAS hits are located in cis-regulatory regions, but the underlying causal variants and their molecular mechanisms remain unknown. To better understand human cis-regulatory variation, we mapped quantitative trait loci for chromatin accessibility (caQTLs)—a key step in cis-regulation—in 1000 individuals from 10 diverse populations. Most caQTLs were shared across populations, allowing us to leverage the genetic diversity to fine-map candidate causal regulatory variants, several thousand of which have been previously implicated in GWAS. In addition, many caQTLs that affect the expression of distal genes also alter the landscape of long-range chromosomal interactions, suggesting a mechanism for long-range expression QTLs. In sum, our results show that molecular QTL mapping integrated across diverse populations provides a high-resolution view of how worldwide human genetic variation affects chromatin accessibility, gene expression, and phenotype. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that minor issues remain unresolved (see decision letter).
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spelling pubmed-63350582019-01-24 Fine-mapping cis-regulatory variants in diverse human populations Tehranchi, Ashley Hie, Brian Dacre, Michael Kaplow, Irene Pettie, Kade Combs, Peter Fraser, Hunter B eLife Chromosomes and Gene Expression Genome-wide association studies (GWAS) are a powerful approach for connecting genotype to phenotype. Most GWAS hits are located in cis-regulatory regions, but the underlying causal variants and their molecular mechanisms remain unknown. To better understand human cis-regulatory variation, we mapped quantitative trait loci for chromatin accessibility (caQTLs)—a key step in cis-regulation—in 1000 individuals from 10 diverse populations. Most caQTLs were shared across populations, allowing us to leverage the genetic diversity to fine-map candidate causal regulatory variants, several thousand of which have been previously implicated in GWAS. In addition, many caQTLs that affect the expression of distal genes also alter the landscape of long-range chromosomal interactions, suggesting a mechanism for long-range expression QTLs. In sum, our results show that molecular QTL mapping integrated across diverse populations provides a high-resolution view of how worldwide human genetic variation affects chromatin accessibility, gene expression, and phenotype. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that minor issues remain unresolved (see decision letter). eLife Sciences Publications, Ltd 2019-01-16 /pmc/articles/PMC6335058/ /pubmed/30650056 http://dx.doi.org/10.7554/eLife.39595 Text en © 2019, Tehranchi et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Chromosomes and Gene Expression
Tehranchi, Ashley
Hie, Brian
Dacre, Michael
Kaplow, Irene
Pettie, Kade
Combs, Peter
Fraser, Hunter B
Fine-mapping cis-regulatory variants in diverse human populations
title Fine-mapping cis-regulatory variants in diverse human populations
title_full Fine-mapping cis-regulatory variants in diverse human populations
title_fullStr Fine-mapping cis-regulatory variants in diverse human populations
title_full_unstemmed Fine-mapping cis-regulatory variants in diverse human populations
title_short Fine-mapping cis-regulatory variants in diverse human populations
title_sort fine-mapping cis-regulatory variants in diverse human populations
topic Chromosomes and Gene Expression
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335058/
https://www.ncbi.nlm.nih.gov/pubmed/30650056
http://dx.doi.org/10.7554/eLife.39595
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