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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs
Xiao Zhang1, Tian-Ying Li2, Hong-Mei Xiao2
1Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Researchers identified novel regulatory single nucleotide polymorphisms (SNPs) linked to obesity using epigenomic and transcriptomic data. This approach helps pinpoint causal SNPs and evaluate existing ones for their role in obesity risk.
Area of Science:
- Genetics
- Epigenetics
- Molecular Biology
Background:
- Rising obesity rates necessitate identification of genetic factors contributing to the condition.
- Genome-wide association studies (GWAS) have identified numerous obesity-related single nucleotide polymorphisms (SNPs), but pinpointing causal regulatory SNPs is challenging due to linkage disequilibrium.
Purpose of the Study:
- To identify and prioritize potential causal regulatory SNPs associated with obesity using an integrated epigenomic and transcriptomic approach.
- To evaluate the regulatory potential of previously identified obesity GWAS SNPs.
Main Methods:
- Analysis of epigenomic and transcriptomic data from adipose and other tissues.
- Prioritization of SNPs from 50 GWAS and 121,064 expanded SNPs to identify potential causal regulatory SNPs (Tier-1 SNPs).
- Detailed examination of seven gene loci with Tier-1 SNPs to assess their regulatory mechanisms.
Main Results:
- Forty-seven Tier-1 SNPs were prioritized for 14 gene loci.
- Four loci (CABLES1, PC, PEMT, FAM13A) showed Tier-1 SNPs regulating alternative transcription start sites or intronic microRNA expression.
- HOXA11 and RP11-392O17.1 exhibited tissue-specific expression preferences influenced by Tier-1 SNPs.
- ZBED3-AS1 had intragenic Tier-1 SNPs potentially mediating obesity risk through chromatin interactions.
Conclusions:
- The study successfully identified credible novel regulatory SNPs associated with obesity.
- The integrated approach aids in evaluating the functional relevance of GWAS-identified SNPs in obesity pathogenesis.
- Findings provide insights into molecular mechanisms underlying obesity risk conferred by specific genetic variants.
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