Back

SNP-Associated Differential Methylation in ARHGEF38: Insights into Genetic-Epigenetic Interactions

Kovacs, E. H. C.; Casten, L. G.; Mullins, N.; Gringer Richards, J.; Williams, A. J.; Wemmie, J. A.; Magnotta, V.; Fiedorowicz, J. G.; Michaelson, J. J.; Gaine, M. E.

2025-03-04 psychiatry and clinical psychology
10.1101/2025.02.28.25322876 medRxiv
Show abstract

ObjectiveAssociations have been seen between suicidal behavior and differential DNA methylation of certain genes, with one study showing significant hypomethylation of ARHGEF38 in postmortem brain samples from individuals with bipolar disorder who died by suicide. Our objective was to explore ARHGEF38 methylation in individuals with bipolar disorder and a history of suicide attempt. MethodWith pyrosequencing, we looked at the previously identified region of interest in ARHGEF38. We investigated the methylation levels of 3 CpG sites in 47 individuals with bipolar disorder and a history of suicide attempt, 47 individuals with bipolar disorder without a history of suicide attempt, and 47 non-bipolar disorder controls. ResultsNone of the CpG sites measured had an association between groups, although there were distinct clusters of differential methylation in each group. Applying genotypes of SNPs found in the region of interest, rs2121558 and rs1447093, these clusters showed stepwise methylation at each CpG site, regardless of phenotype. ConclusionsIn this relatively small sample size study, differential methylation in ARHGEF38 was not associated with history of suicide attempt, failing to replicate findings from a related outcome, suicide death. However, we did provide evidence of SNP and DNA methylation interplay in this region. This highlights the potential relevance of considering genetics when interrogating epigenetic mechanisms. HighlightsO_LIARHGEF38 methylation is not associated with bipolar disorder and suicide attempt C_LIO_LIMethylation of ARHGEF38 is heavily influenced by the presence of SNPs C_LIO_LISuicide phenotype, genetics, and sample type impact DNA methylation C_LI

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.