Obesity

Epigenome‐wide association study of BMI in Black populations from InterGEN and GENOA

Obesity (Silver Spring)Published Epigenome-wide association study

Authors' conclusion

This study suggests that BMI is associated with differences in DNAm among women that can be identified with DNA extracted from salivary (discovery) and peripheral blood (replication) samples among Black populations across two cohorts.

Study context

Population
Black populations from two cohorts (InterGEN and GENOA)
Participants
239 vs 961
Comparison
InterGEN vs GENOA
  • InterGENn = 239
  • GENOAn = 961
Outcome
Association of BMI with epigenome-wide DNA methylation (850K Illumina EPIC BeadChip)
Methodological detailscross-sectional, discovery and replication cohorts, meta-analysis, Linear mixed-effects regression adjusted for batch effects, cell type heterogeneity, population stratification and confounding factors
  • Cross-sectional
  • Discovery and replication cohorts
  • Meta-analysis
  • Linear mixed-effects regression adjusted for batch effects, cell type heterogeneity, population stratification and confounding factors

Pooled result

As reported in the abstract

DNAm sites significantly associated with BMI

Sites associated with BMI in InterGEN discovery cohort

28

Previously unreported among these

24

Replicated in GENOA

17

Further pooled results

Meta-analysis (InterGEN + GENOA) DNA methylation (DNAm) sites associated with BMI

Sites with false discovery rate < 0.05, combined sex
658
Sites significantly associated, Black women
628
Bonferroni-corrected p value 0.05, combined sex
65
Bonferroni-corrected p value 0.05, female-only
61

Original publication

Epigenome‐wide association study of BMI in Black populations from InterGEN and GENOA. Obesity (Silver Spring). Published 7 December 2022. doi:10.1002/oby.23589

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.