Epigenetic prediction of major depressive disorder.

ABSTRACT: Variation in DNA methylation (DNAm) is associated with lifestyle factors such as smoking and body mass index (BMI) but there has been little research exploring its ability to identify individuals with major depressive disorder (MDD). Using penalised regression on genome-wide CpG methylation, we tested whether DNAm risk scores (MRS), trained on 1223 MDD cases and 1824 controls, could discriminate between cases (n = 363) and controls (n = 1417) in an independent sample, comparing their predictive accuracy to polygenic risk scores (PRS). The MRS explained 1.75% of the variance in MDD (β = 0.338, p = 1.17 × 10^-7) and remained associated after adjustment for lifestyle factors (β = 0.219, p = 0.001, R² = 0.68%). When modelled alongside PRS (β = 0.384, p = 4.69 × 10^-9</

SUBMITTER: Barbu MC 

PROVIDER: S-EPMC8589651 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature