Hackensack-Meridian Health Center for Discovery and Innovation, Nutley, NJ, 07110, USA.
John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Genome Biol. 2020 Jun 29;21(1):153. doi: 10.1186/s13059-020-02059-3.
Mapping of allele-specific DNA methylation (ASM) can be a post-GWAS strategy for localizing regulatory sequence polymorphisms (rSNPs). The advantages of this approach, and the mechanisms underlying ASM in normal and neoplastic cells, remain to be clarified.
We perform whole genome methyl-seq on diverse normal cells and tissues and three cancer types. After excluding imprinting, the data pinpoint 15,112 high-confidence ASM differentially methylated regions, of which 1838 contain SNPs in strong linkage disequilibrium or coinciding with GWAS peaks. ASM frequencies are increased in cancers versus matched normal tissues, due to widespread allele-specific hypomethylation and focal allele-specific hypermethylation in poised chromatin. Cancer cells show increased allele switching at ASM loci, but disruptive SNPs in specific classes of CTCF and transcription factor binding motifs are similarly correlated with ASM in cancer and non-cancer. Rare somatic mutations affecting these same motif classes track with de novo ASM. Allele-specific transcription factor binding from ChIP-seq is enriched among ASM loci, but most ASM differentially methylated regions lack such annotations, and some are found in otherwise uninformative "chromatin deserts."
ASM is increased in cancers but occurs by a shared mechanism involving disruptive SNPs in CTCF and transcription factor binding sites in both normal and neoplastic cells. Dense ASM mapping in normal plus cancer samples reveals candidate rSNPs that are difficult to find by other approaches. Together with GWAS data, these rSNPs can nominate specific transcriptional pathways in susceptibility to autoimmune, cardiometabolic, neuropsychiatric, and neoplastic diseases.
等位基因特异性 DNA 甲基化(ASM)图谱绘制可能是一种用于定位调控序列多态性(rSNP)的 GWAS 后策略。这种方法的优势以及 ASM 在正常和肿瘤细胞中的潜在机制仍有待阐明。
我们对多种正常细胞和组织以及三种癌症类型进行了全基因组甲基化测序。排除印迹后,该数据确定了 15112 个高可信度的 ASM 差异甲基化区域,其中 1838 个包含强连锁不平衡或与 GWAS 峰重合的 SNP。与匹配的正常组织相比,癌症中 ASM 频率增加,这是由于在静止染色质中广泛存在等位基因特异性低甲基化和局灶性等位基因特异性高甲基化。癌症细胞在 ASM 位点显示出更高的等位基因转换,但特定类别 CTCF 和转录因子结合基序中的破坏性 SNP 与癌症和非癌症中的 ASM 同样相关。影响这些相同基序类别的罕见体细胞突变与从头 ASM 相关。从 ChIP-seq 获得的等位基因特异性转录因子结合在 ASM 位点中富集,但大多数 ASM 差异甲基化区域缺乏此类注释,有些位于其他无信息的“染色质荒漠”中。
ASM 在癌症中增加,但通过涉及正常和肿瘤细胞中 CTCF 和转录因子结合位点的破坏性 SNP 的共享机制发生。在正常加癌症样本中进行密集的 ASM 图谱绘制可以揭示其他方法难以发现的候选 rSNP。与 GWAS 数据一起,这些 rSNP 可以提名自身免疫、心脏代谢、神经精神和肿瘤疾病易感性中的特定转录途径。