Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs.
Xiao ZhangTian-Ying LiHong-Mei XiaoKenneth C EhrlichHui ShenHong-Wen DengMelanie EhrlichPublished in: International journal of molecular sciences (2022)
Concern about rising rates of obesity has prompted searches for obesity-related single nucleotide polymorphisms (SNPs) in genome-wide association studies (GWAS). Identifying plausible regulatory SNPs is very difficult partially because of linkage disequilibrium. We used an unusual epigenomic and transcriptomic analysis of obesity GWAS-derived SNPs in adipose versus heterologous tissues. From 50 GWAS and 121,064 expanded SNPs, we prioritized 47 potential causal regulatory SNPs (Tier-1 SNPs) for 14 gene loci. A detailed examination of seven loci revealed that four ( CABLES1 , PC , PEMT , and FAM13A ) had Tier-1 SNPs positioned so that they could regulate use of alternative transcription start sites, resulting in different polypeptides being generated or different amounts of an intronic microRNA gene being expressed. HOXA11 and long noncoding RNA gene RP11-392O17.1 had Tier-1 SNPs in their 3' or promoter region, respectively, and strong preferences for expression in subcutaneous versus visceral adipose tissue. ZBED3-AS1 had two intragenic Tier-1 SNPs, each of which could contribute to mediating obesity risk through modulating long-distance chromatin interactions. Our approach not only revealed especially credible novel regulatory SNPs, but also helped evaluate previously highlighted obesity GWAS SNPs that were candidates for transcription regulation.
Keyphrases
- genome wide
- genome wide association
- insulin resistance
- dna methylation
- metabolic syndrome
- weight loss
- adipose tissue
- copy number
- transcription factor
- type diabetes
- high fat diet induced
- long noncoding rna
- gene expression
- weight gain
- high fat diet
- skeletal muscle
- single cell
- hepatitis c virus
- human immunodeficiency virus
- risk assessment
- decision making