Single-cell methylation analysis of brain tissue prioritizes mutations that alter transcription.
Title | Single-cell methylation analysis of brain tissue prioritizes mutations that alter transcription. |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Flint J, Heffel MG, Chen Z, Mefford J, Marcus E, Chen PB, Ernst J, Luo C |
Journal | Cell Genom |
Volume | 3 |
Issue | 12 |
Pagination | 100454 |
Date Published | 2023 Dec 13 |
ISSN | 2666-979X |
Abstract | Relating genetic variants to behavior remains a fundamental challenge. To assess the utility of DNA methylation marks in discovering causative variants, we examined their relationship to genetic variation by generating single-nucleus methylomes from the hippocampus of eight inbred mouse strains. At CpG sequence densities under 40 CpG/Kb, cells compensate for loss of methylated sites by methylating additional sites to maintain methylation levels. At higher CpG sequence densities, the exact location of a methylated site becomes more important, suggesting that variants affecting methylation will have a greater effect when occurring in higher CpG densities than in lower. We found this to be true for a variant's effect on transcript abundance, indicating that candidate variants can be prioritized based on CpG sequence density. Our findings imply that DNA methylation influences the likelihood that mutations occur at specific sites in the genome, supporting the view that the distribution of mutations is not random. |
DOI | 10.1016/j.xgen.2023.100454 |
Alternate Journal | Cell Genom |
PubMed ID | 38116123 |
PubMed Central ID | PMC10726494 |
Grant List | DP1 DA044371 / DA / NIDA NIH HHS / United States R01 MH115979 / MH / NIMH NIH HHS / United States R01 MH125252 / MH / NIMH NIH HHS / United States U01 MH130995 / MH / NIMH NIH HHS / United States |