Diagenode

Sensitive detection of chromatin-altering polymorphisms reveals autoimmune disease mechanisms.


Del Rosario RC, Poschmann J, Rouam SL, Png E, Khor CC, Hibberd ML, Prabhakar S

Most disease associations detected by genome-wide association studies (GWAS) lie outside coding genes, but very few have been mapped to causal regulatory variants. Here, we present a method for detecting regulatory quantitative trait loci (QTLs) that does not require genotyping or whole-genome sequencing. The method combines deep, long-read chromatin immunoprecipitation-sequencing (ChIP-seq) with a statistical test that simultaneously scores peak height correlation and allelic imbalance: the genotype-independent signal correlation and imbalance (G-SCI) test. We performed histone acetylation ChIP-seq on 57 human lymphoblastoid cell lines and used the resulting reads to call 500,066 single-nucleotide polymorphisms de novo within regulatory elements. The G-SCI test annotated 8,764 of these as histone acetylation QTLs (haQTLs)-an order of magnitude larger than the set of candidates detected by expression QTL analysis. Lymphoblastoid haQTLs were highly predictive of autoimmune disease mechanisms. Thus, our method facilitates large-scale regulatory variant detection in any moderately sized cohort for which functional profiling data can be generated, thereby simplifying identification of causal variants within GWAS loci.

Tags
Bioruptor
Chromatin Shearing
ChIP-seq
Bioruptor Plus

Share this article

Published
May, 2015

Source

Products used in this publication

  • Bioruptor Plus Sonication Device
    B01020001
    Bioruptor® Plus sonication device

活动

  • AACR 2024
    San Diego, California, USA
    Apr 5-Apr 10, 2024
 查看所有活动

新闻

 查看所有新闻


The European Regional Development Fund and Wallonia are investing in your future.

Extension of industrial buildings and new laboratories.


       Site map   |   Contact us   |   Conditions of sales   |   Conditions of purchase   |   Privacy policy   |   Diagenode Diagnostics