Using chromatin marks to interpret and localize genetic associations to complex human traits and diseases.

Curr Opin Genet Dev
Authors
Keywords
Abstract

While studies to associate genomic variants to complex traits have gradually become increasingly productive, the molecular mechanisms that underlie these associations are rarely understood. Because only a small fraction of trait-associated variants can be linked to coding sequences, investigators have speculated that many of the underlying causal alleles influence non-coding gene regulatory sites. Recent studies have successfully identified examples of mechanisms for non-coding alleles at individual loci. Now, genome-wide chromatin assays have resulted in maps of dozens of genomic annotations of the non-coding genome across multiple different tissues, cell types and cell lines. This gives a tremendous opportunity to integrate these annotations with complex trait signals to globally interpret associated variants, and prioritize likely causal alleles. Here, we review the examples of mechanisms by which non-coding, common alleles result in phenotypes. We discuss the efforts to integrate common trait-associated variants with genomic annotations. Finally, we highlight some caveats of these approaches and outline future directions for improvement.

Year of Publication
2013
Journal
Curr Opin Genet Dev
Volume
23
Issue
6
Pages
635-41
Date Published
2013 Dec
ISSN
1879-0380
URL
DOI
10.1016/j.gde.2013.10.009
PubMed ID
24287333
PubMed Central ID
PMC4073234
Links
Grant list
U01 HG007033 / HG / NHGRI NIH HHS / United States
K08AR055688 / AR / NIAMS NIH HHS / United States
1R01AR063759-01A1 / AR / NIAMS NIH HHS / United States
U01 GM092691 / GM / NIGMS NIH HHS / United States
5U01GM092691-04 / GM / NIGMS NIH HHS / United States
R01 AR063759 / AR / NIAMS NIH HHS / United States
U01HG0070033 / HG / NHGRI NIH HHS / United States
K08 AR055688 / AR / NIAMS NIH HHS / United States