Phenotypic Manifestation of Genetic Risk for Schizophrenia During Adolescence in the General Population
- PMID: 26818099
- PMCID: PMC5024747
- DOI: 10.1001/jamapsychiatry.2015.3058
Phenotypic Manifestation of Genetic Risk for Schizophrenia During Adolescence in the General Population
Abstract
Importance: Schizophrenia is a highly heritable, polygenic condition characterized by a relatively diverse phenotype and frequent comorbid conditions, such as anxiety and depression. At present, limited evidence explains how genetic risk for schizophrenia is manifest in the general population.
Objective: To investigate the extent to which genetic risk for schizophrenia is associated with different phenotypes during adolescence in a population-based birth cohort.
Design, setting, and participants: This cohort study used data from the Avon Longitudinal Study of Parents and Children (ALSPAC). Of 14,062 children in the birth cohort, genetic data were available for 9912 adolescents. Data were collected periodically from September 6, 1990, and collection is ongoing. Data were analyzed from March 4 to August 13, 2015.
Exposures: Polygenic risk scores (PRSs) for schizophrenia generated for individuals in the ALSPAC cohort using results of the second Psychiatric Genomics Consortium Schizophrenia genome-wide association study as a training set.
Main outcomes and measures: Logistic regression was used to assess associations between the schizophrenia PRS and (1) psychotic experiences (Psychosis-Like Symptom Interview at 12 and 18 years of age), (2) negative symptoms (Community Assessment of Psychic Experiences at 16.5 years of age), (3) depressive disorder (Development and Well-Being Assessment at 15.5 years of age), and (4) anxiety disorder (Development and Well-Being Assessment at 15.5 years of age) in adolescence.
Results: Of the 8230 ALSPAC participants whose genetic data passed quality control checks (51.2% male, 48.8% female), 3676 to 5444 participated in assessments from 12 to 18 years of age. The PRSs created using single-nucleotide polymorphisms with a training-set P ≤ .05 threshold were associated with negative symptoms (odds ratio [OR] per SD increase in PRS, 1.21; 95% CI, 1.08-1.36; R(2) = 0.007) and anxiety disorder (OR per SD increase in PRS, 1.17; 95% CI, 1.06- 1.29; R(2) = 0.005). No evidence was found of an association between schizophrenia PRS and psychotic experiences (OR per SD increase in PRS, 1.08; 95% CI, 0.98-1.19; R(2) = 0.001) or depressive disorder (OR per SD increase in PRS, 1.02; 95% CI, 0.91-1.13; R(2) = 0.00005). Results were mostly consistent across different training-set P value thresholds and using different cutoffs and measures of the psychopathological outcomes.
Conclusions and relevance: This study demonstrates polygenic overlaps between common genetic polymorphisms associated with schizophrenia and negative symptoms and anxiety disorder but not with psychotic experiences or depression. Because the genetic risk for schizophrenia appears to be manifest as anxiety and negative symptoms during adolescence, a greater focus on these phenotypes rather than on psychotic experiences might be required for prediction of transition in at-risk samples.
Conflict of interest statement
Disclosures: Dr O'Donovan received a consultancy fee from Roche in July 2015. No other disclosures were reported.
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Comment in
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The Schizophrenia Polygenic Risk Score: To What Does It Predispose in Adolescence?JAMA Psychiatry. 2016 Mar;73(3):193-4. doi: 10.1001/jamapsychiatry.2015.2964. JAMA Psychiatry. 2016. PMID: 26817666 No abstract available.
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Measures of Psychosis Proneness and Genetic Risk for Schizophrenia.JAMA Psychiatry. 2016 Jun 1;73(6):638. doi: 10.1001/jamapsychiatry.2016.0227. JAMA Psychiatry. 2016. PMID: 27074122 No abstract available.
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Measures of Psychosis Proneness and Genetic Risk for Schizophrenia-Reply.JAMA Psychiatry. 2016 Jun 1;73(6):638-9. doi: 10.1001/jamapsychiatry.2016.0241. JAMA Psychiatry. 2016. PMID: 27074123 No abstract available.
References
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- Ripke S, O’Dushlaine C, Chambert K, et al. Multicenter Genetic Studies of Schizophrenia Consortium; Psychosis Endophenotypes International Consortium; Wellcome Trust Case Control Consortium 2. Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nat Genet. 2013;45(10):1150–1159. - PMC - PubMed
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