Literature DB >> 31711302

Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk.

Diana O Perkins1, Loes Olde Loohuis1, Jenna Barbee1, John Ford1, Clark D Jeffries1, Jean Addington1, Carrie E Bearden1, Kristin S Cadenhead1, Tyrone D Cannon1, Barbara A Cornblatt1, Daniel H Mathalon1, Thomas H McGlashan1, Larry J Seidman1, Ming Tsuang1, Elaine F Walker1, Scott W Woods1.   

Abstract

OBJECTIVE: The 2-year risk of psychosis in persons who meet research criteria for a high-risk syndrome is about 15%-25%; improvements in risk prediction accuracy would benefit the development and implementation of preventive interventions. The authors sought to assess polygenic risk score (PRS) prediction of subsequent psychosis in persons at high risk and to determine the impact of adding the PRS to a previously validated psychosis risk calculator.
METHODS: Persons meeting research criteria for psychosis high risk (N=764) and unaffected individuals (N=279) were followed for up to 2 years. The PRS was based on the latest schizophrenia and bipolar genome-wide association studies. Variables in the psychosis risk calculator included stressful life events, trauma, disordered thought content, verbal learning, information processing speed, and family history of psychosis.
RESULTS: For Europeans, the PRS varied significantly by group and was higher in the psychosis converter group compared with both the nonconverter and unaffected groups, but was similar for the nonconverter group compared with the unaffected group. For non-Europeans, the PRS varied significantly by group; the difference between the converters and nonconverters was not significant, but the PRS was significantly higher in converters than in unaffected individuals, and it did not differ between nonconverters and unaffected individuals. The R2liability (R2 adjusted for the rate of disease risk in the population being studied, here assuming a 2-year psychosis risk between 10% and 30%) for Europeans varied between 9.2% and 12.3% and for non-Europeans between 3.5% and 4.8%. The amount of risk prediction information contributed by the addition of the PRS to the risk calculator was less than severity of disordered thoughts and similar to or greater than for other variables. For Europeans, the PRS was correlated with risk calculator variables of information processing speed and verbal memory.
CONCLUSIONS: The PRS discriminates psychosis converters from nonconverters and modestly improves individualized psychosis risk prediction when added to a psychosis risk calculator. The schizophrenia PRS shows promise in enhancing risk prediction in persons at high risk for psychosis, although its potential utility is limited by poor performance in persons of non-European ancestry.

Entities:  

Keywords:  Genetics; High-risk; NAPLS; Polygenic Risk Score; Psychosis; Risk Calculator

Mesh:

Year:  2019        PMID: 31711302      PMCID: PMC7202227          DOI: 10.1176/appi.ajp.2019.18060721

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  52 in total

1.  Polygenic risk for schizophrenia and neurocognitive performance in patients with schizophrenia.

Authors:  S-H Wang; P-C Hsiao; L-L Yeh; C-M Liu; C-C Liu; T-J Hwang; M H Hsieh; Y-L Chien; Y-T Lin; S D Chandler; S V Faraone; N Laird; B Neale; S A McCarroll; S J Glatt; M T Tsuang; H-G Hwu; W J Chen
Journal:  Genes Brain Behav       Date:  2017-08-08       Impact factor: 3.449

2.  A predictive model for conversion to psychosis in clinical high-risk patients.

Authors:  Adam J Ciarleglio; Gary Brucato; Michael D Masucci; Rebecca Altschuler; Tiziano Colibazzi; Cheryl M Corcoran; Francesca M Crump; Guillermo Horga; Eugénie Lehembre-Shiah; Wei Leong; Scott A Schobel; Melanie M Wall; Lawrence H Yang; Jeffrey A Lieberman; Ragy R Girgis
Journal:  Psychol Med       Date:  2018-06-28       Impact factor: 7.723

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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

4.  A Severity-Based Clinical Staging Model for the Psychosis Prodrome: Longitudinal Findings From the New York Recognition and Prevention Program.

Authors:  Ricardo E Carrión; Christoph U Correll; Andrea M Auther; Barbara A Cornblatt
Journal:  Schizophr Bull       Date:  2017-01       Impact factor: 9.306

5.  Personalized Prediction of Psychosis: External Validation of the NAPLS-2 Psychosis Risk Calculator With the EDIPPP Project.

Authors:  Ricardo E Carrión; Barbara A Cornblatt; Cynthia Z Burton; Ivy F Tso; Andrea M Auther; Steven Adelsheim; Roderick Calkins; Cameron S Carter; Tara Niendam; Tamara G Sale; Stephan F Taylor; William R McFarlane
Journal:  Am J Psychiatry       Date:  2016-07-01       Impact factor: 18.112

6.  Long-term follow-up of a group at ultra high risk ("prodromal") for psychosis: the PACE 400 study.

Authors:  Barnaby Nelson; Hok Pan Yuen; Stephen J Wood; Ashleigh Lin; Daniela Spiliotacopoulos; Annie Bruxner; Christina Broussard; Magenta Simmons; Debra L Foley; Warrick J Brewer; Shona M Francey; G Paul Amminger; Andrew Thompson; Patrick D McGorry; Alison R Yung
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7.  Preliminary findings for two new measures of social and role functioning in the prodromal phase of schizophrenia.

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Journal:  Biol Psychiatry       Date:  2016-08-06       Impact factor: 13.382

9.  Large-scale interaction effects reveal missing heritability in schizophrenia, bipolar disorder and posttraumatic stress disorder.

Authors:  H J Woo; C Yu; K Kumar; J Reifman
Journal:  Transl Psychiatry       Date:  2017-04-11       Impact factor: 6.222

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

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

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Review 2.  Electroencephalography and Event-Related Potential Biomarkers in Individuals at Clinical High Risk for Psychosis.

Authors:  Holly K Hamilton; Alison K Boos; Daniel H Mathalon
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3.  Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort.

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4.  Prognostic value of polygenic risk scores for adults with psychosis.

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5.  Eye movement indices as predictors of conversion to psychosis in individuals at clinical high risk.

Authors:  Lihua Xu; Dan Zhang; Yuou Xie; Xiaochen Tang; Yegang Hu; Xu Liu; Guisen Wu; Zhenying Qian; Yingying Tang; Zhi Liu; Tao Chen; HaiChun Liu; Tianhong Zhang; Jijun Wang
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Review 6.  Polygenic risk score as clinical utility in psychiatry: a clinical viewpoint.

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7.  Life Event Stress and Reduced Cortical Thickness in Youth at Clinical High Risk for Psychosis and Healthy Control Subjects.

Authors:  Katrina Aberizk; Meghan A Collins; Jean Addington; Carrie E Bearden; Kristin S Cadenhead; Barbara A Cornblatt; Daniel H Mathalon; Thomas H McGlashan; Diana O Perkins; Ming T Tsuang; Scott W Woods; Tyrone D Cannon; Elaine F Walker
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8.  Need for Ethnic and Population Diversity in Psychosis Research.

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9.  A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts.

Authors:  Guiyan Ni; Jian Zeng; Joana A Revez; Ying Wang; Zhili Zheng; Tian Ge; Restuadi Restuadi; Jacqueline Kiewa; Dale R Nyholt; Jonathan R I Coleman; Jordan W Smoller; Jian Yang; Peter M Visscher; Naomi R Wray
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10.  Psychotic-like Experiences and Polygenic Liability in the Adolescent Brain Cognitive Development Study.

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