School Achievement, IQ, and Risk of Alcohol Use Disorder: A Prospective, Co-Relative Analysis in a Swedish National Cohort

Kendler, Kenneth S.; Sundquist, Jan; Sundquist, Kristina

doi:10.15288/jsad.2017.78.186

Cited by 13 publications

(12 citation statements)

References 26 publications

(33 reference statements)

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“…AUDIT-C was positively genetically correlated with overall health rating, HDL cholesterol concentration, and years of education, findings that are consistent with prior literature showing genetic correlation of these traits with alcohol consumption 7,8,21 . AUD was significantly genetically correlated with 111 traits or diseases, including negative genetic correlations with intelligence, years of education and quitting smoking, and positive genetic correlations with insomnia, ever having smoked and most psychiatric disorders, findings that are consistent with phenotypic associations in the epidemiological literature 35–37 and genetic correlations reported from the UKBB and 23andMe GWASs and their meta-analysis 7,8,21 . The opposite genetic correlations seen for some traits may be driven by low-effect variants, as we find close to 100% consistency in the direction of effect for the most significantly associated SNPs for both AUDIT-C and AUD.…”

Section: Discussionsupporting

confidence: 80%

Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations

et al. 2019

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Alcohol consumption level and alcohol use disorder (AUD) diagnosis are moderately heritable traits. We conduct genome-wide association studies of these traits using longitudinal Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) scores and AUD diagnoses in a multi-ancestry Million Veteran Program sample ( N = 274,424). We identify 18 genome-wide significant loci: 5 associated with both traits, 8 associated with AUDIT-C only, and 5 associated with AUD diagnosis only. Polygenic Risk Scores (PRS) for both traits are associated with alcohol-related disorders in two independent samples. Although a significant genetic correlation reflects the overlap between the traits, genetic correlations for 188 non-alcohol-related traits differ significantly for the two traits, as do the phenotypes associated with the traits’ PRS. Cell type group partitioning heritability enrichment analyses also differentiate the two traits. We conclude that, although heavy drinking is a key risk factor for AUD, it is not a sufficient cause of the disorder.

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Section: Discussionsupporting

confidence: 80%

Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations

et al. 2019

View full text Add to dashboard Cite

show abstract

“…AUDIT-C was positively genetically correlated with overall health rating, HDL cholesterol concentration, and years of education, findings that are consistent with prior literature showing genetic correlation of these traits with alcohol consumption 7,8,21 . AUD was significantly genetically correlated with 111 traits or diseases, including negative genetic correlations with intelligence, years of education and quitting smoking, and positive genetic correlations with insomnia, ever having smoked and most psychiatric disorders, findings that are consistent with phenotypic associations in the epidemiological literature 35–37 and genetic correlations reported from the UKBB and 23andMe GWASs and their meta-analysis 7,8,21 . Further, in the MVP sample, the AUD PRS was significantly positively associated with tobacco use and multiple psychiatric disorders, whereas the AUDIT-C PRS was not.…”

Section: Discussionsupporting

confidence: 80%

Genome-wide Association Study of Alcohol Consumption and Use Disorder in Multiple Populations (N = 274,424)

Kranzler

Zhou

Kember

et al. 2019

Preprint

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SummaryAlthough alcohol consumption level and alcohol use disorder (AUD) diagnosis are both moderately heritable, their genetic risks and overlap are not well understood. We conducted genome-wide association studies of these traits using longitudinal Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) scores (reflecting alcohol consumption) and AUD diagnoses from electronic health records (EHRs) in a single, large multi-ancestry Million Veteran Program sample. Meta-analysis across population groups (N = 274,424) identified 18 genome-wide significant loci, 5 of which were associated with both traits and 13 with either AUDIT-C (N = 8) or AUD (N = 5). A significant genetic correlation between the traits reflects this overlap. However, downstream analyses revealed biologically meaningful points of divergence. Cell-type group partitioning heritability enrichment analyses indicated that central nervous system was the most significant cell type for AUDIT-C and the only significant cell type for AUD. Polygenic risk scores (PRS) for both traits were associated with alcohol-related disorders in two independent samples. Genetic correlations for 188 non-alcohol-related traits were significantly different for the two traits, as were the phenotypes associated with the traits’ polygenic risk scores. We conclude that EHR-derived, longitudinal, repeated measures of alcohol consumption level and AUD diagnosis can facilitate genetic discovery and help to elucidate the relationship between drinking level and AUD risk. Finally, although heavy drinking is a key risk factor for AUD, it is not a sufficient cause of the disorder.

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“…Duran-Bonavlila and colleagues (2017) found intelligence was negatively correlated with physical, indirect (e.g., gossiping, socially ostracizing others), and overall aggression in a sample of Spanish high school students, even after controlling for impulsivity. Low cognitive ability has also been causally associated with increased risk for alcohol use disorders using genetically sensitive analyses in a sample of around 1 million Swedes (Kendler et al, 2017). Finally, intelligence has been found to be negatively, albeit weakly, with measures assessing conduct disorder, antisocial personality disorder, and psychopathic traits (Sánchez de Ribera et al, 2019).…”

Section: Intelligence and Psychopathologymentioning

confidence: 99%

The Association of Externalizing and Internalizing Problems with Indicators of Intelligence in a Sample of At-Risk Children

Boutwell

Helton

Vaughn

et al. 2017

Preprint

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To date, a substantial body of research exists suggesting an association between indicators of intelligence and various deleterious outcomes, including externalizing and internalizing behavioral problems. Much of this research, however, has focused on samples drawn from the general population, thus it remains less clear how (and if) intelligence relates to problem behaviors in samples of highly at-risk individuals. The current study seeks to contribute to this knowledge base by examining the associations between intelligence and internalizing, externalizing, and total scores on the Child Behavioral Checklist in a sample of approximately 2,500 highly disadvantaged respondents considered by Child Protective Services as at-risk for abuse or neglect. While the two measures of intelligence performed differently, there emerged some association between overall lower IQ and higher total behavioral problem scores. There was some evidence that low IQ also predicted higher internalizing scores, but this relationship varied greatly by measure and model. Results, limitations, and implications of the current study are discussed.

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School Achievement, IQ, and Risk of Alcohol Use Disorder: A Prospective, Co-Relative Analysis in a Swedish National Cohort

Cited by 13 publications

References 26 publications

Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations

Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations

Genome-wide Association Study of Alcohol Consumption and Use Disorder in Multiple Populations (N = 274,424)

The Association of Externalizing and Internalizing Problems with Indicators of Intelligence in a Sample of At-Risk Children

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