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Genetic overlap between personality and risk for disordered gambling: evidence from a national community-based Australian twin study.

ABSTRACT: Using data from a large Australian twin sample we examined the extent to which genetic variation in the Big Three personality dimensions (positive emotionality, negative emotionality, and constraint) and their lower-order components explained genetic variation in the risk for disordered gambling (DG) among men and women. Genetic influences contributing to individual differences in normal-range personality traits explained over 40% of the genetic risk for DG, with a larger contribution among women than among men. The largest and most robust contributions came from the higher-order personality dimension of negative emotionality and its two lower-order dimensions of alienation and aggression. Surprisingly, low self-control was associated with the genetic risk for DG only among women, and risk-taking/sensation-seeking did not explain genetic risk for DG in either sex. The results of this study have implications for the causes of comorbidity between DG and other psychiatric disorders, the search for genes associated with DG risk, and the possibility of sex differences in the etiology of DG. Using a broad-band inventory of personality supports the conclusion that there probably is a substantial proportion of genetic variation in DG that cannot be explained by individual differences in personality.

SUBMITTER: Slutske WS

PROVIDER: S-EPMC7671713 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

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Genetic overlap between personality and risk for disordered gambling: evidence from a national community-based Australian twin study.

Slutske Wendy S WS Cho Seung Bin SB Piasecki Thomas M TM Martin Nicholas G NG

Journal of abnormal psychology 20120917 1

Using data from a large Australian twin sample we examined the extent to which genetic variation in the Big Three personality dimensions (positive emotionality, negative emotionality, and constraint) and their lower-order components explained genetic variation in the risk for disordered gambling (DG) among men and women. Genetic influences contributing to individual differences in normal-range personality traits explained over 40% of the genetic risk for DG, with a larger contribution among wome ...[more]

PMID: 22985012

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Project description:Background and aimsPrevious research has demonstrated phenotypical associations between disordered gambling (DG) and Big 5 personality traits, and a twin study suggested that shared genetic influences accounted for a substantial portion of this relation. The present study examined associations between DG and polygenic scores (PSs) for Big 5 traits to measure the shared genetic underpinnings of Big 5 personality traits and DG.DesignZero-inflated negative binomial regression models estimated associations between Big 5 PSs and past-year and life-time assessments of DG in a longitudinally assessed population-based birth cohort.SettingUnited Kingdom.ParticipantsA total of 4729 unrelated children of European ancestry from the Avon Longitudinal Study of Parents and Children (ALSPAC) with both phenotypical and genetic data.MeasurementsPhenotypical outcomes included past-year assessment of DG using the problem gambling severity index (PGSI) and life-time assessment of DSM-IV pathological gambling symptoms (DPG) across the ages of 17, 20 and 24 years. Polygenic scores were derived for the Big 5 personality traits of agreeableness, extraversion, conscientiousness, openness and neuroticism using summary statistics from genome-wide association studies (GWAS).FindingsPSs for agreeableness [β= - 0.25, standard error (SE) = 0.054, P = 3.031e-6, ΔR2 = 0.008] and neuroticism (β=0.14, SE = 0.046, P = 0.0017, ΔR2 = 0.002) significantly predicted PGSI scores over and above included covariates (i.e. sex and first five ancestral principal components). PSs for agreeableness (β= - 0.20, SE = 0.056, P = 0.00036, ΔR2 = 0.003) and neuroticism, when interactions with age were taken into account (β = 0.29, SE = 0.090, P = 0.002, ΔR2 = 0.004), also predicted DPG scores.ConclusionsPolygenic contributions to low agreeableness and high neuroticism appear to predict two measures of disordered gambling (problem gambling severity index and life-time assessment of DSM-IV pathological gambling symptoms). Polygenic scores for neuroticism interact with age to suggest that the positive association becomes stronger from adolescence through young adulthood.

Project description:Using Swedish nationwide registry data, the authors investigated genetic and environmental risk factors in the etiology of drug abuse by twin sibling modeling. The authors followed up with epidemiological analyses to identify shared environmental influences on drug abuse.Drug abuse was defined using public medical, legal, or pharmacy records. Twin and sibling pairs were obtained from the national twin and genealogical registers. Information about sibling pair residence within the same household, small residential area, or municipality was obtained from Statistics Sweden. The authors predicted concordance for drug abuse by years of co-residence until the older sibling turned 21 and risk for future drug abuse in adolescents living with parental figures as a function of family-level socioeconomic status and neighborhood social deprivation.The best twin sibling fit model predicted substantial heritability for drug abuse in males (55%) and females (73%), with environmental factors shared by siblings operating only in males and accounting for 23% of the variance in liability. For each year of living in the same household, the probability of sibling concordance for drug abuse increased 2%-5%. When not residing in the same household, concordance was predicted from residence in the same small residential area or municipality. Risk for drug abuse was predicted both by family socioeconomic status and neighborhood social deprivation. Controlling for family socioeconomic status, each year of living in a high social deprivation neighborhood increased the risk for drug abuse by 2%.Using objective registry data, the authors found that drug abuse is highly heritable. A substantial proportion of the shared environmental effect on drug abuse comes from community-wide rather than household-level influences. Genetic effects demonstrated in twin studies have led to molecular analyses to elucidate biological pathways. In a parallel manner, environmental effects can be followed up by epidemiological studies to clarify social mechanisms.

Dataset Information

Genetic overlap between personality and risk for disordered gambling: evidence from a national community-based Australian twin study.

Publications

Genetic overlap between personality and risk for disordered gambling: evidence from a national community-based Australian twin study.

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