Overlap between COPD genetic association results and transcriptional quantitative trait loci.

IF 3.6 Q2 GENETICS & HEREDITY
Aabida Saferali, Wonji Kim, Robert P Chase, Christopher Vollmers, Edwin K Silverman, Michael H Cho, Peter J Castaldi, Craig P Hersh
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引用次数: 0

Abstract

Genome-wide association studies (GWASs) have identified multiple genetic loci associated with chronic obstructive pulmonary disease (COPD). Here, we identify SNPs that are associated with alternative splicing (splicing quantitative trait loci [sQTLs]) and gene expression (expression QTLs [eQTLs]) to identify functions for COPD-associated genetic variants. RNA sequencing on whole blood from 3,743 subjects in the COPDGene Study and from lung tissue of 1,241 subjects from the Lung Tissue Research Consortium (LTRC) was analyzed. Associations between all SNPs within 1,000 kb of a gene (cis-) and splice and gene expression quantifications were tested using tensorQTL. We assessed colocalization with COPD-associated SNPs from a published GWAS. After adjustment for multiple statistical testing, we identified 28,110 splice sites corresponding to 3,889 unique genes that were significantly associated with genotype in COPDGene whole blood and 58,258 splice sites corresponding to 10,307 unique genes associated with genotype in LTRC lung tissue. To determine what proportion of COPD-associated SNPs were associated with transcriptional splicing, we performed colocalization analysis between COPD GWAS and sQTL data and found that 38 genomic windows, corresponding to 33 COPD GWAS loci, had evidence of colocalization between QTLs and COPD. The top five colocalizations between COPD and lung sQTLs include Nephronectin (NPNT), F box protein 38 (FBXO38), Hedgehog interacting protein (HHIP), Netrin 4 (NTN4), and Betacellulin (BTC). Overall, a total of 38 COPD GWAS loci contain evidence of sQTLs, suggesting that analysis of sQTLs in whole blood and lung tissue can provide insights into disease mechanisms.

COPD遗传关联结果与转录数量性状位点之间的重叠。
全基因组关联研究(GWAS)已经确定了与慢性阻塞性肺疾病(COPD)相关的多个遗传位点。在这里,我们鉴定了与选择性剪接(sQTL)和基因表达(eQTLs)相关的snp,以鉴定COPD相关遗传变异的功能。分析了来自COPDGene研究的3743名受试者的全血和来自肺组织研究联盟(LTRC)的1241名受试者的肺组织的RNA测序。使用tensorQTL检测基因1000kb内所有snp (cis-)与剪接之间的关联以及基因表达定量。我们从已发表的GWAS bbb中评估了copd相关snp的共定位。经过多次统计检验调整后,我们在COPDGene全血中鉴定出28,110个剪接位点对应于3,889个与基因型显著相关的独特基因,在LTRC肺组织中鉴定出58258个剪接位点对应于10,307个与基因型相关的独特基因。为了确定COPD相关snp与转录剪接相关的比例,我们对COPD GWAS和sQTL数据进行了共定位分析,发现对应32个COPD GWAS位点的38个基因组窗口存在qtl与COPD共定位的证据。COPD与肺部sqtl共定位前五名包括NPNT、FBXO38、hip、NTN4和BTC。总体而言,共有38个COPD GWAS基因座包含sqtl的证据,表明全血和肺组织中sqtl的分析可以为疾病机制提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
HGG Advances
HGG Advances Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
4.30
自引率
4.50%
发文量
69
审稿时长
14 weeks
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