Fine-mapping <i>cis</i>-regulatory variants in diverse human populations.
Where this comes from
- Record sourced from PubMed, PMID 30650056.
- Also identified by DOI 10.7554/eLife.39595 and PMC identifier 6335058.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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 <i>cis</i>-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. 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).
Medical subject headings
- Chromosome Mapping
- Genetic Variation
- Genetics, Population
- Regulatory Sequences, Nucleic Acid