Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC.
Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
Diabetes. 2020 Dec;69(12):2779-2793. doi: 10.2337/db20-0117. Epub 2020 Sep 14.
Decline in insulin sensitivity due to dysfunction of adipose tissue (AT) is one of the earliest pathogenic events in type 2 diabetes. We hypothesize that differential DNA methylation (DNAm) controls insulin sensitivity and obesity by modulating transcript expression in AT. Integrating AT DNAm profiles with transcript profile data measured in a cohort of 230 African Americans (AAs) from the African American Genetics of Metabolism and Expression cohort, we performed -expression quantitative trait methylation (-eQTM) analysis to identify epigenetic regulatory loci for glucometabolic trait-associated transcripts. We identified significantly associated cytosine-guanine dinucleotide regions for 82 transcripts (false discovery rate [FDR]- < 0.05). The strongest eQTM locus was observed for the proopiomelanocortin (; = -0.632, = 4.70 × 10) gene. Epigenome-wide association studies (EWAS) further identified 155, 46, and 168 cytosine-guanine dinucleotide regions associated (FDR- < 0.05) with the Matsuda index, S, and BMI, respectively. Intersection of EWAS, transcript level to trait association, and eQTM results, followed by causal inference test identified significant eQTM loci for 23 genes that were also associated with Matsuda index, S, and/or BMI in EWAS. These associated genes include , , , and In summary, applying an integrative multiomics approach, our study provides evidence for DNAm-mediated regulation of gene expression at both previously identified and novel loci for many key AT transcripts influencing insulin resistance and obesity.
由于脂肪组织 (AT) 功能障碍导致的胰岛素敏感性下降是 2 型糖尿病最早的发病事件之一。我们假设,通过调节 AT 中转录物的表达,差异 DNA 甲基化 (DNAm) 可以控制胰岛素敏感性和肥胖。我们将 AT 的 DNAm 图谱与来自非洲裔美国人代谢和表达队列的 230 名非裔美国人队列的转录谱数据整合在一起,进行了-表达定量性状甲基化 (-eQTM) 分析,以鉴定与糖代谢性状相关的转录物的表观遗传调控位点。我们确定了 82 个转录物的显著相关胞嘧啶-鸟嘌呤二核苷酸区域(错误发现率 [FDR] < 0.05)。最强的-eQTM 基因座观察到前阿黑皮素原(;= -0.632,= 4.70×10)基因。全基因组关联研究(EWAS)进一步鉴定出 155、46 和 168 个与 Matsuda 指数、S 和 BMI 相关的胞嘧啶-鸟嘌呤二核苷酸区域(FDR < 0.05)。EWAS、转录物水平与性状关联以及-eQTM 结果的交集,随后进行因果推断测试,确定了与 Matsuda 指数、S 和/或 BMI 相关的 23 个基因的显著-eQTM 基因座,这些基因座也与 EWAS 中的基因座相关。这些相关基因包括、、、和。综上所述,通过应用综合多组学方法,我们的研究为 DNAm 介导的许多关键 AT 转录物的基因表达调控提供了证据,这些转录物影响胰岛素抵抗和肥胖,其调控作用既有先前确定的基因座,也有新的基因座。