ABC-GWAS

ABC-GWAS integrates large-scale multi-omics datasets such as the Cancer Genome Atlas (TCGA) and the Encyclopedia of DNA Elements (ENCODE), it performs multivariate linear regression analysis of expression quantitative trait loci, sequence permutation test of transcription factor binding perturbation, and modeling of three-dimensional chromatin interactions to analyze the potential molecular functions of 2,813 single nucleotide variants in 93 genomic loci associated with estrogen receptor-positive breast cancer.ABC-GWAS 整合了癌症基因组图谱（Cancer Genome Atlas, TCGA）与DNA元件百科全书（Encyclopedia of DNA Elements, ENCODE）等大规模多组学数据集，通过对表达数量性状位点（expression quantitative trait loci）开展多元线性回归分析、对转录因子结合扰动（transcription factor binding perturbation）实施序列置换检验，以及构建三维染色质相互作用（three-dimensional chromatin interactions）模型，以解析93个与雌激素受体阳性乳腺癌相关的基因组位点中2813个单核苷酸变异的潜在分子功能。

搜集汇总

背景与挑战

背景概述

ABC-GWAS是一个整合了TCGA和ENCODE等大规模多组学数据的数据集，通过eQTL多元线性回归、转录因子结合扰动序列置换测试和三维染色质互作建模，分析2,813个SNP在93个雌激素受体阳性乳腺癌相关基因座中的潜在分子功能。