Interaction of DRD2TaqI, COMT, and ALDH2 genes associated with bipolar II disorder comorbid with anxiety disorders in Han Chinese in Taiwan

Critical appraisal and systematic review of genes linked with cocaine addiction, depression and anxiety

Recent lifestyle changes have resulted in tremendous peer pressure and mental stress, and increased the incidences of chronic psychological disorders; like addiction, depression and anxiety (ADA). In this context, the stress-tolerance levels vary amongst individuals and genetic factors play prominent roles. Vulnerable individuals may often be drawn towards drug-addiction to combat stress. This systematic review critically appraises the relationship of various genetic factors linked with the incidences of ADA development. For coherence, we focused solely on cocaine as a substance of abuse in this study. Online scholarly databases were used to screen pertinent literature using apt keywords; and the final retrieval included 42 primary-research articles. The major conclusion drawn from this systematic analysis states that there are 51 genes linked with the development of ADA; and 3 (BDNF, PERIOD2 and SLC6A4) of them are common to all the three aspects of ADA. Further, inter-connectivity analyses of the 51 genes further endorsed the central presence of BDNF and SLC6A4 genes in the development of ADA disorders. The conclusions derived from this systematic study pave the way for future studies for the identification of diagnostic biomarkers and drug targets; and for the development of novel and effective therapeutic regimens against ADA.

The risk of anxiety disorders in children of parents with severe psychiatric disorders: a systematic review and meta-analysis

BACKGROUND

Several studies have investigated the association between parental severe psychiatric disorders and anxiety disorder risk in offspring, but the findings across these studies have been inconsistent.

METHODS

Using the PRISMA guideline, a rigorous electronic and manual search was conducted in four electronic databases EMBASE, PubMed, PsychINFO, and Scopus to identify relevant studies. All observation studies (cohort and case-control studies) that examined the association between parental severe psychiatric disorders and the risk of offspring anxiety disorders were identified. Summary risk ratios (RRs) and 95% confidence intervals (95%CI) were synthesized using a fixed and random effect meta-analysis.

RESULTS

Twenty-five studies were included in the final analysis (14 cohort and 11 case-control studies). The meta-analysis showed that parental severe psychiatric disorder was associated with a higher risk of social phobia, panic, obsessive-compulsive, post-traumatic stress, separation anxiety, and generalized anxiety disorders in the offspring. When considering specific severe psychiatric disorders in parents as exposure, parental bipolar disorder was associated with an increased risk of obsessive-compulsive and generalized anxiety disorders in the offspring, whereas parental depressive disorder was associated with an increased risk of social phobia, separation anxiety, and generalized anxiety disorders in the offspring. Conversely, parental schizophrenia was not associated with offspring anxiety disorder CONCLUSION: This review suggests that the offspring of parents with severe psychiatric, bipolar, and depressive disorders are at an increased risk of developing a range of anxiety disorders. These findings suggest that targeted early screening and intervention programs are imperative in exposed offspring.

An Integrative Computational Approach to Evaluate Genetic Markers for Bipolar Disorder

Studies to date have reported hundreds of genes connected to bipolar disorder (BP). However, many studies identifying candidate genes have lacked replication, and their results have, at times, been inconsistent with one another. This paper, therefore, offers a computational workflow that can curate and evaluate BP-related genetic data. Our method integrated large-scale literature data and gene expression data that were acquired from both postmortem human brain regions (BP case/control: 45/50) and peripheral blood mononuclear cells (BP case/control: 193/593). To assess the pathogenic profiles of candidate genes, we conducted Pathway Enrichment, Sub-Network Enrichment, and Gene-Gene Interaction analyses, with 4 metrics proposed and validated for each gene. Our approach developed a scalable BP genetic database (BP_GD), including BP related genes, drugs, pathways, diseases and supporting references. The 4 metrics successfully identified frequently-studied BP genes (e.g. GRIN2A, DRD1, DRD2, HTR2A, CACNA1C, TH, BDNF, SLC6A3, P2RX7, DRD3, and DRD4) and also highlighted several recently reported BP genes (e.g. GRIK5, GRM1 and CACNA1A). The computational biology approach and the BP database developed in this study could contribute to a better understanding of the current stage of BP genetic research and assist further studies in the field.