Literature DB >> 33483511

Investigating the effects of genetic risk of schizophrenia on behavioural traits.

Adam Socrates1, Jessye Maxwell2, Kylie P Glanville2, Marta Di Forti2, Robin M Murray3, Evangelos Vassos2, Paul F O'Reilly4,5.   

Abstract

To characterise the trait-effects of increased genetic risk for schizophrenia, and highlight potential risk mediators, we test the association between schizophrenia polygenic risk scores (PRSs) and 529 behavioural traits (personality, psychological, lifestyle, nutritional) in the UK Biobank. Our primary analysis is performed on individuals aged 38-71 with no history of schizophrenia or related disorders, allowing us to report the effects of schizophrenia genetic risk in the sub-clinical general population. Higher schizophrenia PRSs were associated with a range of traits, including lower verbal-numerical reasoning (P = 6 × 10-61), higher nervous feelings (P = 1 × 10-46) and higher self-reported risk-taking (P = 3 × 10-38). We follow-up the risk-taking association, hypothesising that the association may be due to a genetic propensity for risk-taking leading to greater migration, urbanicity or drug-taking - reported environmental risk factors for schizophrenia, and all positively associated with risk-taking in these data. Next, to identify potential disorder or medication effects, we compare the PRS-trait associations in the general population to the trait values in 599 medicated and non-medicated individuals diagnosed with schizophrenia in the biobank. This analysis highlights, for example, levels of BMI, physical activity and risk-taking in cases in the opposite directions than expected from the PRS-trait associations in the general population. Our analyses offer simple yet potentially revealing insights into the possible causes of observed trait-disorder associations, which can complement approaches such as Mendelian Randomisation. While we urge caution in causal interpretations in PRS cross-trait studies that are highly powered to detect weak horizontal pleiotropy or population structure, we propose that well-designed polygenic score analyses have the potential to highlight modifiable risk factors that lie on the path between genetic risk and disorder.

Entities:  

Year:  2021        PMID: 33483511      PMCID: PMC7822841          DOI: 10.1038/s41537-020-00131-2

Source DB:  PubMed          Journal:  NPJ Schizophr        ISSN: 2334-265X


  36 in total

Review 1.  Meta-analysis of the association of urbanicity with schizophrenia.

Authors:  Evangelos Vassos; Carsten B Pedersen; Robin M Murray; David A Collier; Cathryn M Lewis
Journal:  Schizophr Bull       Date:  2012-09-26       Impact factor: 9.306

Review 2.  Deconstructing vulnerability for psychosis: Meta-analysis of environmental risk factors for psychosis in subjects at ultra high-risk.

Authors:  P Fusar-Poli; M Tantardini; S De Simone; V Ramella-Cravaro; D Oliver; J Kingdon; M Kotlicka-Antczak; L Valmaggia; J Lee; M J Millan; S Galderisi; U Balottin; V Ricca; P McGuire
Journal:  Eur Psychiatry       Date:  2016-12-16       Impact factor: 5.361

Review 3.  Using genetic data to strengthen causal inference in observational research.

Authors:  Jean-Baptiste Pingault; Paul F O'Reilly; Tabea Schoeler; George B Ploubidis; Frühling Rijsdijk; Frank Dudbridge
Journal:  Nat Rev Genet       Date:  2018-09       Impact factor: 53.242

Review 4.  Early signs, diagnosis and therapeutics of the prodromal phase of schizophrenia and related psychotic disorders.

Authors:  Molly K Larson; Elaine F Walker; Michael T Compton
Journal:  Expert Rev Neurother       Date:  2010-08       Impact factor: 4.618

5.  GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes.

Authors:  Harold A Nieuwboer; René Pool; Conor V Dolan; Dorret I Boomsma; Michel G Nivard
Journal:  Am J Hum Genet       Date:  2016-09-08       Impact factor: 11.025

6.  Urban-rural differences in incidence rates of psychiatric disorders in Denmark.

Authors:  Evangelos Vassos; Esben Agerbo; Ole Mors; Carsten Bøcker Pedersen
Journal:  Br J Psychiatry       Date:  2015-12-17       Impact factor: 9.319

7.  Assessing the genetic overlap between BMI and cognitive function.

Authors:  R E Marioni; J Yang; D Dykiert; R Mõttus; A Campbell; G Davies; C Hayward; D J Porteous; P M Visscher; I J Deary
Journal:  Mol Psychiatry       Date:  2016-02-09       Impact factor: 15.992

8.  Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction.

Authors:  Gunnar W Reginsson; Andres Ingason; Jack Euesden; Gyda Bjornsdottir; Sigurgeir Olafsson; Engilbert Sigurdsson; Hogni Oskarsson; Thorarinn Tyrfingsson; Valgerdur Runarsdottir; Ingunn Hansdottir; Stacy Steinberg; Hreinn Stefansson; Daniel F Gudbjartsson; Thorgeir E Thorgeirsson; Kari Stefansson
Journal:  Addict Biol       Date:  2017-02-23       Impact factor: 4.280

9.  Biological insights from 108 schizophrenia-associated genetic loci.

Authors: 
Journal:  Nature       Date:  2014-07-22       Impact factor: 49.962

10.  Association between polygenic risk for schizophrenia, neurocognition and social cognition across development.

Authors:  L Germine; E B Robinson; J W Smoller; M E Calkins; T M Moore; H Hakonarson; M J Daly; P H Lee; A J Holmes; R L Buckner; R C Gur; R E Gur
Journal:  Transl Psychiatry       Date:  2016-10-18       Impact factor: 6.222

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  1 in total

1.  Psychotic-like Experiences and Polygenic Liability in the Adolescent Brain Cognitive Development Study.

Authors:  Nicole R Karcher; Sarah E Paul; Emma C Johnson; Alexander S Hatoum; David A A Baranger; Arpana Agrawal; Wesley K Thompson; Deanna M Barch; Ryan Bogdan
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-13
  1 in total

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