EC Psychology And Psychiatry

Neuroepigenetics underscores the significance of the methylome in both normal and pathological brain function, influencing neurobiological processes and psychiatric well-being. This study systematically examines methylome-wide association studies (MWAS) across various psychiatric disorders that utilize array-based and sequencing approaches on blood or brain tissue samples. The findings provide valuable insights into the early stages of neuropathogenesis in psychiatric disorders, revealing altered epigenetic mechanisms. The methylome emerges as a pivotal factor in the development and treatment of psychiatric conditions, potentially offering avenues for identifying therapeutic targets and informing treatment strategies.

 Keywords: Methylome-Wide Association Study; Psychiatric Disorders; CpG Island; Microarray; Sequencing

1. Wei A and Wu H. “Mammalian DNA methylome dynamics: mechanisms, functions and new frontiers”. Development24 (2022): dev182683.
2. van den Oord EJ., et al. “A whole methylome CpG-SNP association study of psychosis in blood and brain tissue”. Schizophrenia Bulletin4 (2016): 1018-1026.
3. Nagamatsu ST., et al. “CpH methylome analysis in human cortical neurons identifies novel gene pathways and drug targets for opioid use disorder”. Frontiers in Psychiatry 13 (2022): 1078894.
4. Maggio AG., et al. “Elevated exposures to persistent endocrine disrupting compounds impact the sperm methylome in regions associated with autism spectrum disorder”. Frontiers in Genetics 13 (2022): 929471.
5. Zhu Y., et al. “Placental methylome reveals a 22q13.33 brain regulatory gene locus associated with autism”. Genome Biology 1 (2022): 46.
6. Zhao H., et al. “Genome-wide DNA methylome reveals the dysfunction of intronic microRNAs in major psychosis”. BMC Medical Genomics 8 (2015): 62.
7. Moschny N., et al. “Novel candidate genes for ECT response prediction-a pilot study analyzing the DNA methylome of depressed patients receiving electroconvulsive therapy”. Clinical Epigenetics 1 (2020): 114.
8. Sugawara H., et al. “DNA methylation analyses of the candidate genes identified by a methylome-wide association study revealed common epigenetic alterations in schizophrenia and bipolar disorder”. Psychiatry and Clinical Neurosciences 4 (2018): 245-254.
9. Adanty C., et al. “Sex differences in schizophrenia: a longitudinal methylome analysis”. Journal of Neural Transmission1 (2022): 105-114.
10. Piao YH., et al. “Methylome-wide association study of patients with recent-onset psychosis”. Clinical Psychopharmacology and Neuroscience 3 (2022): 462-473.
11. Burghardt KJ., et al. “The influence of metabolic syndrome and sex on the DNA methylome in schizophrenia”. International Journal of Genomics (2018): 8076397.
12. Chan RF., et al. “Cell type-specific methylome-wide association studies implicate neurotrophin and innate immune signaling in major depressive disorder”. Biological Psychiatry5 (2020): 431-442.
13. Shen X., et al. “DNA methylome-wide association study of genetic risk for depression implicates antigen processing and immune responses”. Genome Medicine 1 (2022): 36.
14. Sirignano L., et al. “Methylome-wide change associated with response to electroconvulsive therapy in depressed patients”. Translational Psychiatry 1 (2021): 347.
15. Mishra PP., et al. “Gene set based integrated methylome and transcriptome analysis reveals potential molecular mechanisms linking cigarette smoking and related diseases”. OMICS 5 (2023): 193-204.
16. Rutten BPF., et al. “Longitudinal analyses of the DNA methylome in deployed military servicemen identify susceptibility loci for post-traumatic stress disorder”. Molecular Psychiatry 5 (2018): 1145-1156.
17. Fisher DW., et al. “A preliminary comparison of the methylome and transcriptome from the prefrontal cortex across Alzheimer's disease and Lewy body dementia”. Journal of Alzheimer's Disease Reports 1 (2023): 279-297.
18. Wu S., et al. “Altered DNA methylome profiles of blood leukocytes in Chinese patients with mild cognitive impairment and Alzheimer's disease”. Frontiers in Genetics 14 (2023): 1175864.
19. Aberg KA., et al. “Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples”. Molecular Psychiatry 6 (2020): 1344-1354.
20. Aberg KA., et al. “Testing two models describing how methylome-wide studies in blood are informative for psychiatric conditions”. Epigenomics4 (2013): 367-377.
21. Clark SL., et al. “A whole methylome study of ethanol exposure in brain and blood: an exploration of the utility of peripheral blood as proxy tissue for brain in alcohol methylation studies”. Alcoholism, Clinical and Experimental Research12 (2018): 2360-2368.
22. Li Y., et al. “Genome-wide methylome analyses reveal novel epigenetic regulation patterns in schizophrenia and bipolar disorder”. BioMed Research International (2015): 201587.
23. van den Oord E., et al. “Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples”. Molecular Psychiatry 5 (2023): 2088-2094.
24. Kumar G., et al. “Refinement of schizophrenia GWAS loci using methylome-wide association data”. Human Genetics 1 (2015): 77-87.
25. Du H., et al. “Methylome-wide association study of different responses to risperidone in schizophrenia”. Frontiers in Pharmacology 13 (2022): 1078464.
26. Fries GR., et al. “Integrated transcriptome and methylome analysis in youth at high risk for bipolar disorder: a preliminary analysis”. Translational Psychiatry 3 (2017): e1059.
27. Aberg KA., et al. “Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder”. Translational Psychiatry 1 (2018): 162.
28. Wu C., et al. “A gene-level methylome-wide association analysis identifies novel Alzheimer's disease genes”. Bioinformatics14 (2021): 1933-1940.
29. Nazarian A., et al. “Summary-based methylome-wide association analyses suggest potential genetically driven epigenetic heterogeneity of Alzheimer's disease”. Journal of Clinical Medicine 5 (2020): 1489.
30. Delgado-Morales R and Esteller M. “Opening up the DNA methylome of dementia”. Molecular Psychiatry 4 (2017): 485-496.
31. Mano T., et al. “Neuron-specific methylome analysis reveals epigenetic regulation and tau-related dysfunction of BRCA1 in Alzheimer's disease”. Proceedings of the National Academy of Sciences of the United States of America 45 (2017): E9645-E9654.
32. Clark SL., et al. “Combined whole methylome and genome wide association study implicates CNTN4 in alcohol use”. Alcoholism, Clinical and Experimental Research8 (2015): 1396-1405.
33. Howe CG., et al. “Associations between maternal tobacco smoke exposure and the cord blood formula: see text. DNA Methylome”. Environmental Health Perspectives 4 (2019): 47009.
34. Barker ED., et al. “A methylome-wide association study of trajectories of oppositional defiant behaviors and biological overlap with attention deficit hyperactivity disorder”. Child Development 5 (2018): 1839-1855.
35. Walton E., et al. “Epigenetic profiling of ADHD symptoms trajectories: a prospective, methylome-wide study”. Molecular Psychiatry 2 (2017): 250-256.