Voisin Sarah, Almén Markus Sällman, Zheleznyakova Galina Y, Lundberg Lina, Zarei Sanaz, Castillo Sandra, Eriksson Fia Ence, Nilsson Emil K, Blüher Matthias, Böttcher Yvonne, Kovacs Peter, Klovins Janis, Rask-Andersen Mathias, Schiöth Helgi B
Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden.
Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23, Uppsala, Sweden.
Genome Med. 2015 Oct 8;7:103. doi: 10.1186/s13073-015-0225-4.
The mechanisms by which genetic variants, such as single nucleotide polymorphisms (SNPs), identified in genome-wide association studies act to influence body mass remain unknown for most of these SNPs, which continue to puzzle the scientific community. Recent evidence points to the epigenetic and chromatin states of the genome as having important roles.
We genotyped 355 healthy young individuals for 52 known obesity-associated SNPs and obtained DNA methylation levels in their blood using the Illumina 450 K BeadChip. Associations between alleles and methylation at proximal cytosine residues were tested using a linear model adjusted for age, sex, weight category, and a proxy for blood cell type counts. For replication in other tissues, we used two open-access datasets (skin fibroblasts, n = 62; four brain regions, n = 121-133) and an additional dataset in subcutaneous and visceral fat (n = 149).
We found that alleles at 28 of these obesity-associated SNPs associate with methylation levels at 107 proximal CpG sites. Out of 107 CpG sites, 38 are located in gene promoters, including genes strongly implicated in obesity (MIR148A, BDNF, PTPMT1, NR1H3, MGAT1, SCGB3A1, HOXC12, PMAIP1, PSIP1, RPS10-NUDT3, RPS10, SKOR1, MAP2K5, SIX5, AGRN, IMMP1L, ELP4, ITIH4, SEMA3G, POMC, ADCY3, SSPN, LGR4, TUFM, MIR4721, SULT1A1, SULT1A2, APOBR, CLN3, SPNS1, SH2B1, ATXN2L, and IL27). Interestingly, the associated SNPs are in known eQTLs for some of these genes. We also found that the 107 CpGs are enriched in enhancers in peripheral blood mononuclear cells. Finally, our results indicate that some of these associations are not blood-specific as we successfully replicated four associations in skin fibroblasts.
Our results strongly suggest that many obesity-associated SNPs are associated with proximal gene regulation, which was reflected by association of obesity risk allele genotypes with differential DNA methylation. This study highlights the importance of DNA methylation and other chromatin marks as a way to understand the molecular basis of genetic variants associated with human diseases and traits.
在全基因组关联研究中鉴定出的遗传变异,如单核苷酸多态性(SNP),其影响体重的机制对于大多数此类SNP而言仍然未知,这继续困扰着科学界。最近的证据表明基因组的表观遗传和染色质状态具有重要作用。
我们对355名健康的年轻个体进行了52个已知肥胖相关SNP的基因分型,并使用Illumina 450K芯片获得了他们血液中的DNA甲基化水平。使用针对年龄、性别、体重类别和血细胞类型计数代理进行调整的线性模型,测试等位基因与近端胞嘧啶残基甲基化之间的关联。为了在其他组织中进行重复验证,我们使用了两个开放获取的数据集(皮肤成纤维细胞,n = 62;四个脑区,n = 121 - 133)以及皮下和内脏脂肪的另一个数据集(n = 149)。
我们发现这些肥胖相关SNP中的28个等位基因与107个近端CpG位点的甲基化水平相关。在107个CpG位点中,38个位于基因启动子中,包括与肥胖密切相关的基因(MIR148A、BDNF、PTPMT1、NR1H3、MGAT1、SCGB3A1、HOXC12、PMAIP1、PSIP1、RPS10 - NUDT3,、RPS10、SKOR1、MAP2K5、SIX5、AGRN、IMMP1L、ELP4、ITIH4、SEMA3G、POMC、ADCY3、SSPN、LGR4、TUFM、MIR4721、SULT1A1、SULT1A2、APOBR、CLN3、SPNS1、SH2B1、ATXN2L和IL27)。有趣的是,相关的SNP存在于其中一些基因的已知表达数量性状基因座(eQTL)中。我们还发现这107个CpG在人外周血单核细胞的增强子中富集。最后,我们的结果表明其中一些关联并非血液特异性的,因为我们在皮肤成纤维细胞中成功重复了四个关联。
我们的结果强烈表明,许多肥胖相关SNP与近端基因调控相关,这通过肥胖风险等位基因基因型与差异DNA甲基化的关联得以体现。本研究强调了DNA甲基化和其他染色质标记作为理解与人类疾病和性状相关的遗传变异分子基础的一种方式的重要性。