Publications by authors named "S Elson"

Individual differences in self-control predict many health and life outcomes. Building on twin literature, we used genomic structural equation modeling to test the hypothesis that genetic influences on executive function and impulsivity predict independent variance in mental health and other outcomes. The impulsivity factor (comprising urgency, lack of premeditation, and other facets) was only modestly genetically correlated with low executive function ( =.

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Article Synopsis
  • Cannabis is among the most widely used drugs around the world, and its decriminalization has led to increased consumption rates.
  • Genome-wide association studies (GWAS) on lifetime and frequency of cannabis use revealed genetic links to specific loci associated with these traits, indicating that both are heritable.
  • The findings suggest that genetic predispositions for cannabis use correlate with other substance use and mood disorders, highlighting the importance of understanding these genetic factors in the context of cannabis use disorder.
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Coffee is one of the most widely consumed beverages. We performed a genome-wide association study (GWAS) of coffee intake in US-based 23andMe participants (N = 130,153) and identified 7 significant loci, with many replicating in three multi-ancestral cohorts. We examined genetic correlations and performed a phenome-wide association study across hundreds of biomarkers, health, and lifestyle traits, then compared our results to the largest available GWAS of coffee intake from the UK Biobank (UKB; N = 334,659).

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Background: Alcohol consumption is associated with numerous negative social and health outcomes. These associations may be direct consequences of drinking, or they may reflect common genetic factors that influence both alcohol consumption and other outcomes.

Methods: We performed exploratory phenome-wide association studies (PheWAS) of three of the best studied protective single nucleotide polymorphisms (SNPs) in genes encoding ethanol metabolising enzymes (ADH1B: rs1229984-T, rs2066702-A; ADH1C: rs698-T) using up to 1109 health outcomes across 28 phenotypic categories (e.

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Article Synopsis
  • A genome-wide association study (GWAS) involving 130,153 participants from 23andMe identified 7 genetic loci related to coffee intake, which were also found in other diverse groups.
  • When comparing findings with a larger UK Biobank sample (334,659), significant differences in genetic correlations were observed, particularly regarding health traits and cognition.
  • The study highlights how varying cultural and behavioral contexts in different cohorts can impact the relationship between genetics and coffee consumption.
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