Castaldi Peter J, Cho Michael H, Zhou Xiaobo, Qiu Weiliang, Mcgeachie Michael, Celli Bartolome, Bakke Per, Gulsvik Amund, Lomas David A, Crapo James D, Beaty Terri H, Rennard Stephen, Harshfield Benjamin, Lange Christoph, Singh Dave, Tal-Singer Ruth, Riley John H, Quackenbush John, Raby Benjamin A, Carey Vincent J, Silverman Edwin K, Hersh Craig P
Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA, Division of General Internal Medicine and Primary Care and
Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA, Pulmonary and Critical Care Division, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Hum Mol Genet. 2015 Feb 15;24(4):1200-10. doi: 10.1093/hmg/ddu525. Epub 2014 Oct 14.
Genetic risk loci have been identified for a wide range of diseases through genome-wide association studies (GWAS), but the relevant functional mechanisms have been identified for only a small proportion of these GWAS-identified loci. By integrating results from the largest current GWAS of chronic obstructive disease (COPD) with expression quantitative trait locus (eQTL) analysis in whole blood and sputum from 121 subjects with COPD from the ECLIPSE Study, this analysis identifies loci that are simultaneously associated with COPD and the expression of nearby genes (COPD eQTLs). After integrative analysis, 19 COPD eQTLs were identified, including all four previously identified genome-wide significant loci near HHIP, FAM13A, and the 15q25 and 19q13 loci. For each COPD eQTL, fine mapping and colocalization analysis to identify causal shared eQTL and GWAS variants identified a subset of sites with moderate-to-strong evidence of harboring at least one shared variant responsible for both the eQTL and GWAS signals. Transcription factor binding site (TFBS) analysis confirms that multiple COPD eQTL lead SNPs disrupt TFBS, and enhancer enrichment analysis for loci with the strongest colocalization signals showed enrichment for blood-related cell types (CD3 and CD4+ T cells, lymphoblastoid cell lines). In summary, integrative eQTL and GWAS analysis confirms that genetic control of gene expression plays a key role in the genetic architecture of COPD and identifies specific blood-related cell types as likely participants in the functional pathway from GWAS-associated variant to disease phenotype.
通过全基因组关联研究(GWAS)已确定了多种疾病的遗传风险位点,但对于这些GWAS确定的位点,只有一小部分的相关功能机制已被明确。通过将目前最大规模的慢性阻塞性肺疾病(COPD)GWAS结果与来自ECLIPSE研究的121名COPD患者全血和痰液中的表达定量性状位点(eQTL)分析结果相结合,本分析确定了与COPD及附近基因表达(COPD eQTL)同时相关的位点。综合分析后,确定了19个COPD eQTL,包括先前确定的位于HHIP、FAM13A以及15q25和19q13位点附近的所有四个全基因组显著位点。对于每个COPD eQTL,通过精细定位和共定位分析以确定因果共享eQTL和GWAS变异,确定了一部分位点,这些位点有中度至强的证据表明至少存在一个共同变异,该变异同时导致eQTL和GWAS信号。转录因子结合位点(TFBS)分析证实,多个COPD eQTL的lead SNP破坏了TFBS,对共定位信号最强的位点进行增强子富集分析显示,血液相关细胞类型(CD3和CD4 + T细胞、淋巴母细胞系)出现富集。总之,综合eQTL和GWAS分析证实,基因表达的遗传控制在COPD的遗传结构中起关键作用,并确定特定的血液相关细胞类型可能是从GWAS相关变异到疾病表型的功能途径中的参与者。