Recent research suggests that lower IQ and cognitive performance link to higher alcohol use disorder risk, but education and societal factors can amplify or reduce this vulnerability, not genetics alone.
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Recent research suggests that lower IQ and cognitive performance link to higher alcohol use disorder risk, but education and societal factors can amplify or reduce this vulnerability, not genetics alone.
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This study used Mendelian randomisation to test potential causal relationships between depression and 137 traits. Depression liability was linked to somatic diseases, inflammation, suicide risk, insomnia, lower cognitive function and functional impairments, though findings require validation.
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Self-harm is common among adolescents and a strong predictor of suicide risk. A major new cohort study in the British Journal of Psychiatry explores how genetic risk and brain differences might explain who’s most at risk, and why.
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Nick Donnelly discusses how one’s genetic predisposition to shorter sleep is associated with the onset of depression in older adults.
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Nadine Parker and Ole Andreassen summarise a recent UK population-based cohort study, which looks at the impact of polygenic risk for schizophrenia on cardiac structure and function in over 32,000 people.
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Anjuli Kaul blogs about a new systematic review and meta-analysis of longitudinal cohort studies, which explores the relationship between PTSD and all-cause dementia.
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Dolly Sud appraises a recent data linkage study on the impact of schizophrenia genetic liability on the association between schizophrenia and physical illness.
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Lucy Bowes explores a multi-polygenic score approach to identifying individual vulnerabilities associated with the risk of bullying, which suggests that depression, ADHD, risk taking, BMI and intelligence are independently associated with exposure to bullying.
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Byron Creese writes a #LetsTalkMentalHealthII blog about a recent genome-wide meta-analysis which identifies new loci and functional pathways influencing Alzheimer’s disease risk.
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Megan Skelton explores a study that uses polygenic scores in the context of longitudinal developmental data, to characterise developmental trajectories and the role of neuropsychiatric genetic risk variants in early-onset depression.
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