ArticleGenome medicine2015
Many obesity-associated SNPs strongly associate with DNA methylation changes at proximal promoters and enhancers.
Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 4 of them syntheses that pooled it.
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Who cites it
88 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data.Human molecular genetics · 2024Pooled it
- Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use.Molecular psychiatry · 2024Pooled it
- The Epigenetic Overlap between Obesity and Mood Disorders: A Systematic Review.International journal of molecular sciences · 2020Pooled it
- MeQTL analysis of childhood obesity links epigenetics with a risk SNP rs17782313 near MC4R from meta-analysis.Oncotarget · 2017Pooled it
- MicroBayesAge: a maximum likelihood approach to predict epigenetic age using microarray data.GeroScience · 2026Article
- AnResearch square · 2026Article
- A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs.Statistics in medicine · 2026Article
- The rs713586 risk variant dysregulates ADCY3 rather than DNAJC27, leading to obesity through ZFP42-TET1-mediated DNA methylation.EBioMedicine · 2026Article
- EnsembleAge clock: a reliable and robust epigenetic age clock service reveals epigenetic age acceleration in opioid-overdosed brains.BMC genomics · 2025Article
- Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci.International journal of obesity (2005) · 2025Article
- Multi-omics integration reveals Chr1 associated QTL mediating backfat thickness in pigs.Journal of animal science and biotechnology · 2025Article
- MethAgingDB: a comprehensive DNA methylation database for aging biology.Scientific data · 2025Article
- Uncertainty Quantification in Epigenetic Clocks via Conformalized Quantile Regression.Genetic epidemiology · 2025Article
- FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis.Genomics, proteomics & bioinformatics · 2025Article
- The Multi-State Epigenetic Pacemaker enables the identification of combinations of factors that influence DNA methylation.GeroScience · 2025Article
- Epigenomic mechanisms of dietary prescriptions for obesity therapy.Epigenomics · 2025Review
- Uncertainty quantification in epigenetic clocks via conformalized quantile regression.medRxiv : the preprint server for health sciences · 2025Article
- A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits.PLoS computational biology · 2025Article
- Article
- Whole-genome resequencing revealed the genetic diversity and body weight-related genes of Gannan yak.Frontiers in veterinary science · 2025Article
28 more citing papers are in PubMed but not listed here.
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14 authors.
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Abstract
backgroundThe 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.
methodsWe 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).
resultsWe 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.
conclusionsOur 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.
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