Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.
Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Cancer Epidemiol Biomarkers Prev. 2022 May 4;31(5):1068-1076. doi: 10.1158/1055-9965.EPI-21-0724.
Colorectal cancer has a strong epigenetic component that is accompanied by frequent DNA methylation (DNAm) alterations in addition to heritable genetic risk. It is of interest to understand the interrelationship of germline genetics, DNAm, and colorectal cancer risk.
We performed a genome-wide methylation quantitative trait locus (meQTL) analysis in 1,355 people, assessing the pairwise associations between genetic variants and lymphocytes methylation data. In addition, we used penalized regression with cis-genetic variants ± 1 Mb of methylation to identify genome-wide heritable DNAm. We evaluated the association of genetically predicted methylation with colorectal cancer risk based on genome-wide association studies (GWAS) of over 125,000 cases and controls using the multivariate sMiST as well as univariately via examination of marginal association with colorectal cancer risk.
Of the 142 known colorectal cancer GWAS loci, 47 were identified as meQTLs. We identified four novel colorectal cancer-associated loci (NID2, ATXN10, KLHDC10, and CEP41) that reside over 1 Mb outside of known colorectal cancer loci and 10 secondary signals within 1 Mb of known loci.
Leveraging information of DNAm regulation into genetic association of colorectal cancer risk reveals novel pathways in colorectal cancer tumorigenesis. Our summary statistics-based framework sMiST provides a powerful approach by combining information from the effect through methylation and residual direct effects of the meQTLs on disease risk. Further validation and functional follow-up of these novel pathways are needed.
Using genotype, DNAm, and GWAS, we identified four new colorectal cancer risk loci. We studied the landscape of genetic regulation of DNAm via single-SNP and multi-SNP meQTL analyses.
结直肠癌具有很强的表观遗传成分,除了遗传性遗传风险外,还伴有频繁的 DNA 甲基化(DNAm)改变。了解种系遗传学、DNAm 和结直肠癌风险之间的相互关系很有意义。
我们对 1355 人进行了全基因组甲基化定量基因座(meQTL)分析,评估了遗传变异与淋巴细胞甲基化数据之间的两两关联。此外,我们使用基于顺式遗传变异±1 Mb 的 DNAm 的惩罚回归来识别全基因组可遗传的 DNAm。我们使用超过 125,000 例病例和对照的全基因组关联研究(GWAS),通过多元 sMiST 以及通过检查与结直肠癌风险的边缘关联来评估遗传预测的甲基化与结直肠癌风险的关联。
在 142 个已知的结直肠癌 GWAS 基因座中,有 47 个被鉴定为 meQTL。我们确定了四个新的与结直肠癌相关的基因座(NID2、ATXN10、KLHDC10 和 CEP41),它们位于已知结直肠癌基因座之外 1 Mb 处,以及已知基因座 1 Mb 内的 10 个次要信号。
将 DNAm 调控信息纳入结直肠癌风险的遗传关联中,揭示了结直肠癌发生的新途径。我们基于汇总统计数据的 sMiST 框架通过结合通过甲基化和 meQTL 对疾病风险的残余直接效应的效应信息,提供了一种强大的方法。需要进一步验证和功能随访这些新途径。
使用基因型、DNAm 和 GWAS,我们确定了四个新的结直肠癌风险基因座。我们通过单 SNP 和多 SNP meQTL 分析研究了 DNAm 的遗传调控景观。