Publications by authors named "S Oskarsson"

Article Synopsis
  • Individual sensitivity to environmental exposures is influenced by genetics, showing that different genetic makeups can lead to varying reactions to the same environment.
  • A large meta-analysis was conducted using data from nearly 22,000 monozygotic twins to explore genetic influences on seven psychiatric and neurodevelopmental traits.
  • The study found 13 significant genetic associations related to factors like stress-reactivity, growth factors, and catecholamine uptake, highlighting the potential role of genetics in understanding environmental sensitivity.
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Background: Lower autonomic arousal is a well-known correlate of criminal offending and other risk-taking behaviors in men, but few studies have investigated this association in women.

Aim: To test associations between autonomic arousal and criminal offending as well as unintentional injuries among female conscripts.

Methods: All women born 1958-1994 in Sweden who participated in voluntary military conscription (n = 12,499) were identified by linking Swedish population-based registers.

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Attention-deficit/hyperactivity disorder (ADHD) symptoms are associated with myriad adverse outcomes, including interpersonal difficulties, but factors that moderate the developmental course and functional impact of ADHD over time are not well understood. The present study evaluated developmental contributions of the triarchic neurobehavioral traits (boldness, meanness, and disinhibition) to ADHD symptomatology and its subdimensions from adolescence to young adulthood. Participants were twins and triplets assessed at ages 14, 17, and 19 (initial = 1,185, 51.

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Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes.

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We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.

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