Jeong Raehoon, Bulyk Martha L
Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Bioinformatics and Integrative Genomics Graduate Program, Harvard University, Cambridge, MA 02138, USA.
bioRxiv. 2024 Apr 15:2024.04.12.589213. doi: 10.1101/2024.04.12.589213.
Most genetic loci associated with complex traits and diseases through genome-wide association studies (GWAS) are noncoding, suggesting that the causal variants likely have gene regulatory effects. However, only a small number of loci have been linked to expression quantitative trait loci (eQTLs) detected currently. To better understand the potential reasons for many trait-associated loci lacking eQTL colocalization, we investigated whether chromatin accessibility QTLs (caQTLs) in lymphoblastoid cell lines (LCLs) explain immune-mediated disease associations that eQTLs in LCLs did not. The power to detect caQTLs was greater than that of eQTLs and was less affected by the distance from the transcription start site of the associated gene. Meta-analyzing LCL eQTL data to increase the sample size to over a thousand led to additional loci with eQTL colocalization, demonstrating that insufficient statistical power is still likely to be a factor. Moreover, further eQTL colocalization loci were uncovered by surveying eQTLs of other immune cell types. Altogether, insufficient power and context-specificity of eQTLs both contribute to the 'missing regulation.'
通过全基因组关联研究(GWAS)与复杂性状和疾病相关的大多数基因座都是非编码的,这表明因果变异可能具有基因调控作用。然而,目前只有少数基因座与检测到的表达数量性状基因座(eQTL)相关联。为了更好地理解许多性状相关基因座缺乏eQTL共定位的潜在原因,我们研究了淋巴母细胞系(LCL)中的染色质可及性QTL(caQTL)是否能解释LCL中的eQTL无法解释的免疫介导疾病关联。检测caQTL的能力大于eQTL,并且受与相关基因转录起始位点距离的影响较小。对LCL的eQTL数据进行荟萃分析,将样本量增加到超过1000,发现了更多具有eQTL共定位的基因座,这表明统计能力不足仍然可能是一个因素。此外,通过调查其他免疫细胞类型的eQTL,发现了更多的eQTL共定位基因座。总之,eQTL的统计能力不足和背景特异性都导致了“调控缺失”。