Literature DB >> 30339992

Polygenic risk scoring and prediction of mental health outcomes.

John S Anderson1, Jess Shade1, Emily DiBlasi1, Andrey A Shabalin2, Anna R Docherty3.   

Abstract

Psychiatric conditions are highly polygenic, meaning that genetic risk arises from many hundreds or thousands of genetic variants. Psychiatric genomics and psychological science are increasingly using polygenic risk scoring-the integration of all common genetic variant effects into a single risk metric-to model latent risk and to predict mental health outcomes. This review discusses the use of these scores in psychology and psychiatry to date, important methodological considerations, and potential of scoring methods for informing psychological science. Polygenic risk scores can easily be added to environmental and behavioral genetic models of latent risk, making them desirable metrics for use in psychological research.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30339992      PMCID: PMC6426686          DOI: 10.1016/j.copsyc.2018.09.002

Source DB:  PubMed          Journal:  Curr Opin Psychol        ISSN: 2352-250X


  45 in total

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6.  Brief report: Under-representation of African americans in autism genetic research: a rationale for inclusion of subjects representing diverse family structures.

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7.  The heritability of depression symptoms in elderly Danish twins: occasion-specific versus general effects.

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Authors:  James B Meigs; Peter Shrader; Lisa M Sullivan; Jarred B McAteer; Caroline S Fox; Josée Dupuis; Alisa K Manning; Jose C Florez; Peter W F Wilson; Ralph B D'Agostino; L Adrienne Cupples
Journal:  N Engl J Med       Date:  2008-11-20       Impact factor: 91.245

9.  Common polygenic variation contributes to risk of schizophrenia and bipolar disorder.

Authors:  Shaun M Purcell; Naomi R Wray; Jennifer L Stone; Peter M Visscher; Michael C O'Donovan; Patrick F Sullivan; Pamela Sklar
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10.  Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.

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Journal:  Neuropsychopharmacology       Date:  2022-05-11       Impact factor: 8.294

3.  Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction.

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6.  Genetic and psychosocial stressors have independent effects on the level of subclinical psychosis: findings from the multinational EU-GEI study.

Authors:  B Pignon; H Peyre; A Ayrolles; J B Kirkbride; S Jamain; A Ferchiou; J R Richard; G Baudin; S Tosato; H Jongsma; L de Haan; I Tarricone; M Bernardo; E Velthorst; M Braca; C Arango; M Arrojo; J Bobes; C M Del-Ben; M Di Forti; C Gayer-Anderson; P B Jones; C La Cascia; A Lasalvia; P R Menezes; D Quattrone; J Sanjuán; J P Selten; A Tortelli; P M Llorca; J van Os; B P F Rutten; R M Murray; C Morgan; M Leboyer; A Szöke; F Schürhoff
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  8 in total

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