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

McEachin, Richard C.; Saccone, Nancy L.; Saccone, Scott F.; Kleyman-Smith, Yelena D; Kar, Tiara; Kare, Rajesh K; Ade, Alex; Sartor, Maureen A.; Cavalcoli, James D.; McInnis, Melvin G.

doi:10.1186/1471-2350-11-14

Cited by 28 publications

(18 citation statements)

References 90 publications

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“…6 Studies have examined shared genetic effects between smoking and SMI, 8–11 as well as associations with attention and cognition, stress and mood, and reductions in the side effects of psychotropic medications. 6 In addition to individual-level risk factors, a complete understanding of smoking disparities among individuals with SMI requires examination of “upstream” social determinants of health, including social, political, and economic contexts.…”

mentioning

confidence: 99%

Tobacco Retailer Proximity and Density and Nicotine Dependence Among Smokers With Serious Mental Illness

et al. 2014

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Objectives We examined the density and proximity of tobacco retailers and associations with smoking behavior and mental health in a diverse sample of 1061 smokers with serious mental illness (SMI) residing in the San Francisco Bay Area of California. Methods Participants’ addresses were geocoded and linked with retailer licensing data to determine the distance between participants’ residence and the nearest retailer (proximity) and the number of retailers within 500-meter and 1-kilometer service areas (density). Results More than half of the sample lived within 250 meters of a tobacco retailer. A median of 3 retailers were within 500 meters of participants’ residences, and a median of 12 were within 1 kilometer. Among smokers with SMI, tobacco retailer densities were 2-fold greater than for the general population and were associated with poorer mental health, greater nicotine dependence, and lower self-efficacy for quitting. Conclusions Our findings provide further evidence of the tobacco retail environment as a potential vector contributing to tobacco-related disparities among individuals with SMI and suggest that this group may benefit from progressive environmental protections that restrict tobacco retail licenses and reduce aggressive point-of-sale marketing.

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confidence: 99%

Tobacco Retailer Proximity and Density and Nicotine Dependence Among Smokers With Serious Mental Illness

et al. 2014

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“…One first possible explanation is that both disorders have shared or correlated risk factors, including genetic, physiological or environmental factors (Heffner et al, 2011). For example, genes encoding catechol-O-methyltransferase (COMT) or involving dopamine or serotonin systems may interact in predisposing for BD and substance use disorders (McEachin et al, 2010; Novak et al, 2010). In addition, brain structural and functional abnormalities shared between BD and ND may play an important role in the association of these two disorders.…”

Section: Discussionmentioning

confidence: 99%

Temporal sequencing of nicotine dependence and bipolar disorder in the national epidemiologic survey on alcohol and related conditions (NESARC)

Martínez-Ortega

Goldstein

Gutiérrez‐Rojas

et al. 2013

Journal of Psychiatric Research

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Bipolar disorder (BD) and nicotine dependence (ND) often co-occur. However, the mechanisms underlying this association remain unclear. We aimed to examine, for the first time in a national and representative sample, the magnitude and direction of the temporal relationship between BD and ND; and to compare, among individuals with lifetime ND and BD, the sociodemographic and clinical characteristics of individuals whose onset of ND preceded the onset of BD (ND-prior) with those whose onset of ND followed the onset of BD (BD-prior). The sample included individuals with lifetime BD type I or ND (n=7958) from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n=43093). Survival analyses and logistic regression models were computed to study the temporal association between ND and BD, and to compare ND-prior (n=135) and BD-prior (n=386) individuals. We found that ND predicted the onset of BD and BD also predicted the onset of ND. Furthermore, the risk of developing one disorder following the other one was greatest early in the course of illness. Most individuals with lifetime ND and BD were BD-prior (72.6%). BD-prior individuals had an earlier onset of BD and a higher number of manic episodes. By contrast, ND-prior individuals had an earlier onset of both daily smoking and ND, and an increased prevalence of alcohol use disorder. In conclusion, ND and BD predict the development of each other. The phenomenology and course of ND and BD varied significantly depending on which disorder had earlier onset.

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“…SLC6A4 is the transporter gene of 5‐HT, which has a direct effect on the content of 5‐HT. Extensive research results implied that the SLC6A4 gene might play a part in the occurrence of mental disorder to some extent; nevertheless, this effect might be somewhat weak (Wendland et al., ; Bloch et al., ; Gressier et al., ; McEachin et al., ). In our study, SLC6A4 had no association with internalising disorder ( P = 0.966670) using U‐EGS, which was also consistent with the results in the literature.…”

Section: Resultsmentioning

confidence: 99%

Nonparametric Tests of Associations with Disease Based on U‐Statistics

Jin

Zhu

et al. 2013

Annals of Human Genetics

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SummaryIn case-control studies, association analysis was designed to test whether genetic variants were associated with human diseases. To evaluate the association, analysing one genetic marker at a time suffered from weak power, because of the correction for multiple testing and possibly small genetic effects. An alternative strategy was to test simultaneous effects of multiple markers, which was believed to be more powerful. However, when the number of markers under investigation was large, they would be subjected to weak power as well, because of the greater degrees of freedom. To conquer these limitations in case-control studies, we proposed a novel method that could test joint association of several loci (i.e. haplotype), with only a single degree of freedom. In this research, we developed a nonparametric approach, which was based on U-statistics. We also introduced a new kernel for U-statistic, which could combine the haplotype structure information, and was expected to enhance the power. Simulations indicated that our proposed approach offered merits in identifying the associations between diseases and haplotypes. Application of our method to a study of candidate genes for internalising disorder illustrated its virtue in utility and interpretation, and provided an excellent result in detecting the associations.

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

Cited by 28 publications

References 90 publications

Tobacco Retailer Proximity and Density and Nicotine Dependence Among Smokers With Serious Mental Illness

Tobacco Retailer Proximity and Density and Nicotine Dependence Among Smokers With Serious Mental Illness

Temporal sequencing of nicotine dependence and bipolar disorder in the national epidemiologic survey on alcohol and related conditions (NESARC)

Nonparametric Tests of Associations with Disease Based on U‐Statistics

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