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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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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). |
format | Online Article Text |
id | pubmed-6335058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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