Kundu Kousik, Tardaguila Manuel, Mann Alice L, Watt Stephen, Ponstingl Hannes, Vasquez Louella, Von Schiller Dominique, Morrell Nicholas W, Stegle Oliver, Pastinen Tomi, Sawcer Stephen J, Anderson Carl A, Walter Klaudia, Soranzo Nicole
Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Nat Genet. 2022 Mar;54(3):251-262. doi: 10.1038/s41588-022-01025-y. Epub 2022 Mar 14.
The resolution of causal genetic variants informs understanding of disease biology. We used regulatory quantitative trait loci (QTLs) from the BLUEPRINT, GTEx and eQTLGen projects to fine-map putative causal variants for 12 immune-mediated diseases. We identify 340 unique loci that colocalize with high posterior probability (≥98%) with regulatory QTLs and apply Bayesian frameworks to fine-map associations at each locus. We show that fine-mapping credible sets derived from regulatory QTLs are smaller compared to disease summary statistics. Further, they are enriched for more functionally interpretable candidate causal variants and for putatively causal insertion/deletion (INDEL) polymorphisms. Finally, we use massively parallel reporter assays to evaluate candidate causal variants at the ITGA4 locus associated with inflammatory bowel disease. Overall, our findings suggest that fine-mapping applied to disease-colocalizing regulatory QTLs can enhance the discovery of putative causal disease variants and enhance insights into the underlying causal genes and molecular mechanisms.
因果基因变异的解析有助于理解疾病生物学。我们利用来自BLUEPRINT、GTEx和eQTLGen项目的调控定量性状位点(QTL)对12种免疫介导疾病的推定因果变异进行精细定位。我们鉴定出340个与调控QTL以高后验概率(≥98%)共定位的独特位点,并应用贝叶斯框架对每个位点的关联进行精细定位。我们发现,与疾病汇总统计数据相比,从调控QTL衍生的精细定位可信集更小。此外,它们富含更多功能上可解释的候选因果变异以及推定的因果插入/缺失(INDEL)多态性。最后,我们使用大规模平行报告基因检测来评估与炎症性肠病相关的ITGA4位点的候选因果变异。总体而言,我们的研究结果表明,应用于疾病共定位调控QTL的精细定位可以增强对推定因果疾病变异的发现,并增进对潜在因果基因和分子机制的理解。