Back to Search
Start Over
Methylome-wide studies of six metabolic traits.
- Source :
-
MedRxiv : the preprint server for health sciences [medRxiv] 2024 May 29. Date of Electronic Publication: 2024 May 29. - Publication Year :
- 2024
-
Abstract
- Exploring the molecular correlates of metabolic health measures may identify the shared and unique biological processes and pathways that they track. Here, we performed epigenome-wide association studies (EWASs) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio (WHR), and blood-based measures of glucose, high-density lipoprotein (HDL) cholesterol, and total cholesterol. We considered blood-based DNA methylation (DNAm) from >750,000 CpG sites in over 17,000 volunteers from the Generation Scotland (GS) cohort. Linear regression analyses identified between 304 and 11,815 significant CpGs per trait at P<3.6×10 <superscript>-8</superscript> , with 37 significant CpG sites across all six traits. Further, we performed a Bayesian EWAS that jointly models all CpGs simultaneously and conditionally on each other, as opposed to the marginal linear regression analyses. This identified between 3 and 27 CpGs with a posterior inclusion probability ≥ 0.95 across the six traits. Next, we used elastic net penalised regression to train epigenetic scores (EpiScores) of each trait in GS, which were then tested in the Lothian Birth Cohort 1936 (LBC1936; European ancestry) and Health for Life in Singapore (HELIOS; Indian-, Malay- and Chinese-ancestries). A maximum of 27.1% of the variance in BMI was explained by the BMI EpiScore in the subset of Malay-ancestry Singaporeans. Four metabolic EpiScores were associated with general cognitive function in LBC1936 in models adjusted for vascular risk factors (Standardised β <subscript>range</subscript> : 0.08 - 0.12, P <subscript>FDR</subscript> < 0.05). EpiScores of metabolic health are applicable across ancestries and can reflect differences in brain health.<br />Competing Interests: R.E.M has received a speaker fee from Illumina, is an advisor to the Epigenetic Clock Development Foundation and Optima Partners Ltd. D.A.G and D.L.M. are employed by Optima Partners Ltd in a part-time capacity. R.F.H has acted as a scientific consultant to Optima Partner Ltd and has received consultant fees from Illumina. The remaining authors declare no competing interests.
Details
- Language :
- English
- Database :
- MEDLINE
- Journal :
- MedRxiv : the preprint server for health sciences
- Publication Type :
- Academic Journal
- Accession number :
- 38853823
- Full Text :
- https://doi.org/10.1101/2024.05.29.24308103