Challenges in Analyzing Functional Epigenetic Data in Perspective of Adolescent Psychiatric Health.
bioinformatics
epigenetic regulation
psychiatric conditions
statistical challenges
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
23 May 2022
23 May 2022
Historique:
received:
14
04
2022
revised:
11
05
2022
accepted:
18
05
2022
entrez:
28
5
2022
pubmed:
29
5
2022
medline:
1
6
2022
Statut:
epublish
Résumé
The formative period of adolescence plays a crucial role in the development of skills and abilities for adulthood. Adolescents who are affected by mental health conditions are at risk of suicide and social and academic impairments. Gene-environment complementary contributions to the molecular mechanisms involved in psychiatric disorders have emphasized the need to analyze epigenetic marks such as DNA methylation (DNAm) and non-coding RNAs. However, the large and diverse bioinformatic and statistical methods, referring to the confounders of the statistical models, application of multiple-testing adjustment methods, questions regarding the correlation of DNAm across tissues, and sex-dependent differences in results, have raised challenges regarding the interpretation of the results. Based on the example of generalized anxiety disorder (GAD) and depressive disorder (MDD), we shed light on the current knowledge and usage of methodological tools in analyzing epigenetics. Statistical robustness is an essential prerequisite for a better understanding and interpretation of epigenetic modifications and helps to find novel targets for personalized therapeutics in psychiatric diseases.
Identifiants
pubmed: 35628666
pii: ijms23105856
doi: 10.3390/ijms23105856
pmc: PMC9147258
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Swedish Brain Foundation
ID : FO2017-0135
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