Distinct Co-methylation Patterns in African and European Populations and Their Genetic Associations

Human populations have substantial genetic diversity, but the extent of epigenetic diversity remains unclear, as population-specific DNA methylation (DNAm) has only been studied for ∼ 3.0% of CpGs. In this study, we quantified DNAm using whole-genome bisulfite sequencing (WGBS) and analyzed it alongside whole-genome genotype data to provide a more comprehensive view of population-specific DNAm. Using a co-methylated region (CMR) approach, 36,657 CMRs were identified in WGBS data from 62 lymphoblastoid B-cell line (LCL) samples, with subsequent validation in a combined array dataset of 326 LCL samples. Between individuals of European and African ancestry, 101 CMRs exhibited population-specific DNAm patterns (Pop-CMRs), including 91 Pop-CMRs not reported in previous investigations. These regions spanned genes (e.g., CCDC42, GYPE, MAP3K20, and OBI1) related to diseases (e.g., malaria infection and diabetes) with differing prevalence and incidence between populations. Over half of the Pop-CMRs were associated with genetic variants, displaying population-specific allele frequencies and primarily mapped to genes involved in metabolic and infectious processes. Additionally, subsets of Pop-CMRs were applicable in East Asian populations and peripheral blood-based tissues. This study highlights genome-wide DNAm differences between populations and examines their associations with genetic varation and biological relevance, advancing our understanding of epigenetic contributions to population specificity.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2025-03-22
DOI
https://doi.org/10.1093/gpbjnl/qzaf096
Citations
1
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.81

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article

Distinct Co-methylation Patterns in African and European Populations and Their Genetic Associations

Keegan Korthauer, Nicole Gladish, Samantha L. Schaffner, Xiaoqing Fu et al.
1 citations
Genomics Proteomics & Bioinformatics
Epigenetics and DNA Methylation
0.81
article

Distinct Co-methylation Patterns in African and European Populations and Their Genetic Associations

Keegan Korthauer, Nicole Gladish, Samantha L. Schaffner, Xiaoqing Fu, Michael Steffen Kobor, Zheng Dong
article en
1 citations

Abstract

Human populations have substantial genetic diversity, but the extent of epigenetic diversity remains unclear, as population-specific DNA methylation (DNAm) has only been studied for ∼ 3.0% of CpGs. In this study, we quantified DNAm using whole-genome bisulfite sequencing (WGBS) and analyzed it alongside whole-genome genotype data to provide a more comprehensive view of population-specific DNAm. Using a co-methylated region (CMR) approach, 36,657 CMRs were identified in WGBS data from 62 lymphoblastoid B-cell line (LCL) samples, with subsequent validation in a combined array dataset of 326 LCL samples. Between individuals of European and African ancestry, 101 CMRs exhibited population-specific DNAm patterns (Pop-CMRs), including 91 Pop-CMRs not reported in previous investigations. These regions spanned genes (e.g., CCDC42, GYPE, MAP3K20, and OBI1) related to diseases (e.g., malaria infection and diabetes) with differing prevalence and incidence between populations. Over half of the Pop-CMRs were associated with genetic variants, displaying population-specific allele frequencies and primarily mapped to genes involved in metabolic and infectious processes. Additionally, subsets of Pop-CMRs were applicable in East Asian populations and peripheral blood-based tissues. This study highlights genome-wide DNAm differences between populations and examines their associations with genetic varation and biological relevance, advancing our understanding of epigenetic contributions to population specificity.

Genomics Proteomics & BioinformaticsVol. 23(5)
University of British Columbia (CA), British Columbia Centre of Excellence for Women's Health (CA), Genome British Columbia (CA), BC Children's Hospital (CA)
Compute Canada, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 22%
Epigenetics and DNA Methylation
0.81
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