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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doaj-5c5c2bbb5a7446f797970c102848ec172021-05-05T17:19:18ZengeLife Sciences Publications LtdeLife2050-084X2019-01-01810.7554/eLife.39595Fine-mapping cis-regulatory variants in diverse human populationsAshley Tehranchi0Brian Hie1Michael Dacre2https://orcid.org/0000-0002-5561-1656Irene Kaplow3Kade Pettie4Peter Combs5https://orcid.org/0000-0003-2835-5623Hunter B Fraser6https://orcid.org/0000-0001-8400-8541Department of Biology, Stanford University, Stanford, United StatesDepartment of Computer Science, Stanford University, Stanford, United StatesDepartment of Biology, Stanford University, Stanford, United StatesDepartment of Computer Science, Stanford University, Stanford, United StatesDepartment of Biology, Stanford University, Stanford, United StatesDepartment of Biology, Stanford University, Stanford, United StatesDepartment of Biology, Stanford University, Stanford, United StatesGenome-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).https://elifesciences.org/articles/39595chromatinqtlgwastranscriptionhumanfine-mapping |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ashley Tehranchi Brian Hie Michael Dacre Irene Kaplow Kade Pettie Peter Combs Hunter B Fraser |
spellingShingle |
Ashley Tehranchi Brian Hie Michael Dacre Irene Kaplow Kade Pettie Peter Combs Hunter B Fraser Fine-mapping cis-regulatory variants in diverse human populations eLife chromatin qtl gwas transcription human fine-mapping |
author_facet |
Ashley Tehranchi Brian Hie Michael Dacre Irene Kaplow Kade Pettie Peter Combs Hunter B Fraser |
author_sort |
Ashley Tehranchi |
title |
Fine-mapping cis-regulatory variants in diverse human populations |
title_short |
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_sort |
fine-mapping cis-regulatory variants in diverse human populations |
publisher |
eLife Sciences Publications Ltd |
series |
eLife |
issn |
2050-084X |
publishDate |
2019-01-01 |
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). |
topic |
chromatin qtl gwas transcription human fine-mapping |
url |
https://elifesciences.org/articles/39595 |
work_keys_str_mv |
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