ArticleBMC genomics2014
Methylation quantitative trait loci (meQTLs) are consistently detected across ancestry, developmental stage, and tissue type.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 5 of them syntheses that pooled it.
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Who cites it
154 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- A systematic review of methylome-wide associations with anxiety disorders.Translational psychiatry · 2026Pooled it
- BMI is positively associated with accelerated epigenetic aging in twin pairs discordant for body mass index.Journal of internal medicine · 2022Pooled it
- Association between DNA methylation and ADHD symptoms from birth to school age: a prospective meta-analysis.Translational psychiatry · 2020Pooled it
- DNA methylation studies of depression with onset in the peripartum: A critical systematic review.Neuroscience and biobehavioral reviews · 2019Pooled it
- The role of oxytocin receptor gene (OXTR) DNA methylation (DNAm) in human social and emotional functioning: a systematic narrative review.BMC psychiatry · 2018Pooled it
- Article
- Integrative genetic analysis identifies shared regulation of DNA methylation and gene expression in migraine risk.The journal of headache and pain · 2026Article
- Systematic Benchmarking of DNA Sequence Encoding Strategies for Predicting Regulatory Effects of Non-Coding SNPs.International journal of molecular sciences · 2026Article
- Monoallelic Gene Expression: Stochastic or Clonal? From Detection to Mechanisms and Clinical Significance.International journal of molecular sciences · 2026Review
- Multi-omics Data Integration.Advances in experimental medicine and biology · 2026Review
- DNA methylation as a biomarker of prenatal exposures: current challenges and opportunities.Environmental epigenetics · 2026Review
- Cross-Tissue Specificity of Pediatric DNA Methylation Associated With Cumulative Family Stress.Developmental psychobiology · 2025Article
- The Mediating Role of Social and Environmental Determinants of Health in the Association Between Race and Preterm Birth Risk.Journal of women's health (2002) · 2025Article
- Cell-free DNA as a potential alternative to genomic DNA in genetic studies.NAR genomics and bioinformatics · 2025Article
- Genetic regulation of sperm DNA methylation in cattle through meQTL mapping.BMC genomics · 2025Article
- SNP-associated differential methylation inEpigenomics · 2025Article
- Epigenetic Impacts of Non-Coding Mutations Deciphered Through Pre-Trained DNA Language Model at Single-Cell Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Molecular insights into trauma: A framework of epigenetic pathways to resilience through intervention.Med (New York, N.Y.) · 2025Review
- Genetic effects on the skin methylome in healthy older twins.American journal of human genetics · 2024Article
- Epigenome-wide association study of DNA methylation in maternal blood leukocytes with BMI in pregnancy and gestational weight gain.International journal of obesity (2005) · 2024Article
94 more citing papers are in PubMed but not listed here.
Corrections and comments
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8 authors.
Funding
Abstract
backgroundIndividual genotypes at specific loci can result in different patterns of DNA methylation. These methylation quantitative trait loci (meQTLs) influence methylation across extended genomic regions and may underlie direct SNP associations or gene-environment interactions. We hypothesized that the detection of meQTLs varies with ancestral population, developmental stage, and tissue type. We explored this by analyzing seven datasets that varied by ancestry (African American vs. Caucasian), developmental stage (neonate vs. adult), and tissue type (blood vs. four regions of postmortem brain) with genome-wide DNA methylation and SNP data. We tested for meQTLs by constructing linear regression models of methylation levels at each CpG site on SNP genotypes within 50 kb under an additive model controlling for multiple tests.
resultsMost meQTLs mapped to intronic regions, although a limited number appeared to occur in synonymous or nonsynonymous coding SNPs. We saw significant overlap of meQTLs between ancestral groups, developmental stages, and tissue types, with the highest rates of overlap within the four brain regions. Compared with a random group of SNPs with comparable frequencies, meQTLs were more likely to be 1) represented among the most associated SNPs in the WTCCC bipolar disorder results and 2) located in microRNA binding sites.
conclusionsThese data give us insight into how SNPs impact gene regulation and support the notion that peripheral blood may be a reliable correlate of physiological processes in other tissues.
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