Additional file 1: Table S1. of Integration of VDR genome wide binding and GWAS genetic variation data reveals co-occurrence of VDR and NF-κB binding that is linked to immune phenotypes

Showing number of VDR peaks and number of Lead and LD SNPs overlapping with VDR peaks in different cell line models. Number of peaks for individual VDR ChIP-seq data and the number of Lead SNPs along with associated LD SNPs which fall under VDR peaks for each data set is shown here. Table S2. Study design, analytical methods and results. Summary table describing different stages of the analyses including the principal methods (computational approaches, databases and webtools) and key finding from each stage. Table S3. List of 574 SNPs (GWAS + LD SNPs) under VDR peaks. Table S4. List of 42 SNPs showing significant enrichment for associated traits. Table S5. RegulomeDB scores for 42 significant trait associated SNPs. Table S6. Summary of HaploReg results for 42 trait associated SNPs. Table S7. HaploReg summary table of enrichment analysis of enhancers and DNase sensitive regions associated with 42 trait associated SNPs. (XLSX 94 kb)

本数据集展示不同细胞系模型中VDR结合峰（VDR peaks）的数量，以及与VDR结合峰重叠的先导SNPs（Lead SNPs）和连锁不平衡SNPs（Linkage Disequilibrium SNPs，LD SNPs）的数量。本表格同时呈现了各数据集对应的独立VDR染色质免疫共沉淀测序（Chromatin Immunoprecipitation Sequencing，ChIP-seq）数据的结合峰数量，以及落在VDR结合峰范围内的先导SNPs及其关联的连锁不平衡SNPs的数量。
表S2：研究设计、分析方法与结果。该汇总表格介绍了分析的全部阶段，涵盖核心分析方法（计算方法、数据库及网络工具）以及各阶段的关键研究发现。
表S3：位于VDR结合峰内的574个SNPs（全基因组关联分析SNPs+连锁不平衡SNPs）列表。
表S4：42个在相关性状中呈现显著富集的SNPs列表。
表S5：42个与重要性状相关的SNPs的RegulomeDB评分。
表S6：42个与性状相关的SNPs的HaploReg分析结果汇总。
表S7：针对42个与性状相关的SNPs的增强子与DNase敏感区域富集分析的HaploReg汇总表格。（XLSX格式，文件大小94 KB）