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Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder.

ABSTRACT: Comorbidity of psychiatric and substance use disorders represents a significant complication in the clinical course of both disorders. Bipolar Disorder (BD) is a psychiatric disorder characterized by severe mood swings, ranging from mania to depression, and up to a 70% rate of comorbid Tobacco Use Disorder (TUD). We found epidemiological evidence consistent with a common underlying etiology for BD and TUD, as well as evidence of both genetic and environmental influences on BD and TUD. Therefore, we hypothesized a common underlying genetic etiology, interacting with nicotine exposure, influencing susceptibility to both BD and TUD.Using meta-analysis, we compared TUD rates for BD patients and the general population. We identified candidate genes showing statistically significant, replicated, evidence of association with both BD and TUD. We assessed commonality among these candidate genes and hypothesized broader, multi-gene network influences on the comorbidity. Using Fisher Exact tests we tested our hypothesized genetic networks for association with the comorbidity, then compared the inferences drawn with those derived from the commonality assessment. Finally, we prioritized candidate SNPs for validation.We estimate risk for TUD among BD patients at 2.4 times that of the general population. We found three candidate genes associated with both BD and TUD (COMT, SLC6A3, and SLC6A4) and commonality analysis suggests that these genes interact in predisposing psychiatric and substance use disorders. We identified a 69 gene network that influences neurotransmitter signaling and shows significant over-representation of genes associated with BD and TUD, as well as genes differentially expressed with exposure to tobacco smoke. Twenty four of these genes are known drug targets.This work highlights novel bioinformatics resources and demonstrates the effectiveness of using an integrated bioinformatics approach to improve our understanding of complex disease etiology. We illustrate the development and testing of hypotheses for a comorbidity predisposed by both genetic and environmental influences. Consistent with our hypothesis, the selected network models multiple interacting genetic influences on comorbid BD with TUD, as well as the environmental influence of nicotine. This network nominates candidate genes for validation and drug testing, and we offer a panel of SNPs prioritized for follow-up.

SUBMITTER: McEachin RC

PROVIDER: S-EPMC2823619 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature

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Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder.

McEachin Richard C RC Saccone Nancy L NL Saccone Scott F SF Kleyman-Smith Yelena D YD Kar Tiara T Kare Rajesh K RK Ade Alex S AS Sartor Maureen A MA Cavalcoli James D JD McInnis Melvin G MG

BMC medical genetics 20100126

<h4>Background</h4>Comorbidity of psychiatric and substance use disorders represents a significant complication in the clinical course of both disorders. Bipolar Disorder (BD) is a psychiatric disorder characterized by severe mood swings, ranging from mania to depression, and up to a 70% rate of comorbid Tobacco Use Disorder (TUD). We found epidemiological evidence consistent with a common underlying etiology for BD and TUD, as well as evidence of both genetic and environmental influences on BD ...[more]

PMID: 20102619

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Project description:BackgroundMedical conditions related to alcohol use disorders (AUD) represent a substantial public health concern. However, only a subset of individuals with AUD develop these conditions and the extent to which genetic and environmental factors that are shared with AUD, versus those distinct from it, contribute to this progression has not yet been determined.MethodsUsing data from Swedish national registries for a cohort born from 1932 to 1970 (N = 1,319,214, 48.9% women), we conducted twin-sibling biometric model fitting to examine the genetic and environmental sources of variance that contribute to the liability to alcohol-related medical conditions (AMC). Progression to AMC, determined using medical registry data, was contingent on an AUD registration, which was determined using medical and criminal registry data.ResultsWe identified AUD registrations in 3.2% of women and 9.2% of men. Among individuals with an AUD registration, 14.4% of women and 15.4% of men had an AMC registration. In the final models, we constrained the beta pathway from AUD to AMC and the genetic and unique environmental paths to be equal across sexes. The beta path was estimated at 0.59. AMC was modestly heritable in women (A = 0.32) and men (A = 0.30). The proportion of total heritability unique to AMC was 39.6% among women and 41.3% among men. A higher proportion of total environmental variance was unique to AMC: 76.7% for women and 77.2% for men. In a sensitivity analysis limited to liver-related AMC, we observed similar results, with a slightly lower beta path from AUD to AMC (0.46) and higher proportions of AMC-specific genetic (70.0% in women; 71.7% in men) and environmental (84.5% in both sexes) variance.ConclusionsA moderate-to-substantial proportion of genetic and environmental variance that contributes to AMC risk is not shared with AUD, underscoring the need for additional gene identification efforts for AMC. Furthermore, the prominent influence of environmental factors specific to AMC provides a promising area for the identification of prevention targets. We did not observe significant sex differences in the etiology of AMC, although follow-up is warranted in other well-powered studies.

Project description:Bipolar disorder (BD) and premenstrual dysphoric disorder (PMDD) are two cyclic mood illnesses, sometimes presenting together. Their comorbidity appears to be linked to common biological mechanisms and usually results in more severity of mood symptoms and a poorer long-term outcome. Nevertheless, the management of comorbid PMDD/BD has been scarcely studied. Therefore, the aim of the present paper was to review the published literature on the treatment of comorbid PMDD/BD and to provide point-by-point hypotheses to address these complex clinical cases. We searched PubMed to identify the studies focused on the treatment and management of comorbid PMDD/BD using the following search words, alone and in combination: premenstrual dysphoric disorder, bipolar disorder, comorbid, treatment, management, pharmacotherapy, psychotherapy. The search was conducted on the 1st of June 2019 and yielded 55 records. Four papers met our inclusion/exclusion criteria and were therefore included in our qualitative synthesis. Integrating the few data pertaining to the treatment of comorbid PMDD/BD with the large amount of published data on the two conditions separately, we can suggest that the management of comorbid PMDD/BD needs as a first step to stabilize the bipolar symptoms by means of optimal dosages of mood stabilizers. Then, in euthymic BD patients, the PMDD symptoms could be treated with estroprogestins (first-line treatment). On the contrary, during acute phases of BD, antidepressants (for major depressive episodes) and atypical antipsychotics/hormonal modulators (for manic episodes) could be considered as promising add-on treatments to mood stabilizers. In case of resistant PMDD/BD symptoms, combined strategies should be taken into account, as well as alternative treatments, such as lifestyle changes. In conclusion, RCTs on comorbid PMDD/BD are still lacking. The management of this complex condition is therefore challenging and it requires a tailored treatment.

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Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder.

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Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder.

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