ArticleTranslational psychiatry2017
Integrated transcriptome and methylome analysis in youth at high risk for bipolar disorder: a preliminary analysis.
Article in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- DNA Methylation as a Biomarker of Treatment Response Variability in Serious Mental Illnesses: A Systematic Review Focused on Bipolar Disorder, Schizophrenia, and Major Depressive Disorder.International journal of molecular sciences · 2018Pooled it
- Functional Genomics Studies of Psychiatric Disorders in Individuals of Latin American Populations: A Scoping Review.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2026Article
- Reconceptualizing bipolar disorder through an integrative biological lens: synthesis, convergence, and emerging directions.Frontiers in integrative neuroscience · 2026Review
- The relationship of methylation and mRNA expression profile of AUTS2 with suicidal ideation in adolescents with bipolar depression.BMC psychiatry · 2025Article
- Putative Risk Biomarkers of Bipolar Disorder in At-risk Youth.Neuroscience bulletin · 2024Review
- Methylome-wide association studies of psychiatric disorders.EC psychology and psychiatry · 2024Article
- Increased levels of TAR DNA-binding protein 43 in the hippocampus of subjects with bipolar disorder: a postmortem study.Journal of neural transmission (Vienna, Austria : 1996) · 2022Article
- The Greater Houston Area Bipolar Registry-Clinical and Neurobiological Trajectories of Children and Adolescents With Bipolar Disorders and High-Risk Unaffected Offspring.Frontiers in psychiatry · 2021Article
- Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets.BMC medical genomics · 2020Article
- Cellular stress mechanisms of prenatal maternal stress: Heat shock factors and oxidative stress.Neuroscience letters · 2019Review
- Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration.Medicine · 2019Observational
- Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals.Translational psychiatry · 2019Article
- A Perspective of the Cross-Tissue Interplay of Genetics, Epigenetics, and Transcriptomics, and Their Relation to Brain Based Phenotypes in Schizophrenia.Frontiers in genetics · 2018Review
- Roles of NUCKS1 in Diseases: Susceptibility, Potential Biomarker, and Regulatory Mechanisms.BioMed research international · 2018Review
- Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
First-degree relatives of patients with bipolar disorder (BD), particularly their offspring, have a higher risk of developing BD and other mental illnesses than the general population. However, the biological mechanisms underlying this increased risk are still unknown, particularly because most of the studies so far have been conducted in chronically ill adults and not in unaffected youth at high risk. In this preliminary study we analyzed genome-wide expression and methylation levels in peripheral blood mononuclear cells from children and adolescents from three matched groups: BD patients, unaffected offspring of bipolar parents (high risk) and controls (low risk). By integrating gene expression and DNA methylation and comparing the lists of differentially expressed genes and differentially methylated probes between groups, we were able to identify 43 risk genes that discriminate patients and high-risk youth from controls. Pathway analysis showed an enrichment of the glucocorticoid receptor (GR) pathway with the genes MED1, HSPA1L, GTF2A1 and TAF15, which might underlie the previously reported role of stress response in the risk for BD in vulnerable populations. Cell-based assays indicate a GR hyporesponsiveness in cells from adult BD patients compared to controls and suggest that these GR-related genes can be modulated by DNA methylation, which poses the theoretical possibility of manipulating their expression as a means to counteract the familial risk presented by those subjects. Although preliminary, our results suggest the utility of peripheral measures in the identification of biomarkers of risk in high-risk populations and further emphasize the potential role of stress and DNA methylation in the risk for BD in youth.
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Registered trials
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