Last Posted: Nov 01, 2019
- Schizophrenia Polygenic Risk Score as a Predictor of Antipsychotic Efficacy in First-Episode Psychosis.
Zhang Jian-Ping et al. The American journal of psychiatry 2019 176(1) 21-28 - Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol.
Tomlinson Anneka et al. Evidence-based mental health 2019 Oct - Intensive DNA search yields 10 genes tied directly to schizophrenia
J Kaiser, Science, October 25, 2019 - Machine Learning for Suicide Research–Can It Improve Risk Factor Identification?
S Fazel et al, JAMA Psychiatry, October 23, 2019 - NIH's All of Us Partners with HudsonAlpha on Long-Read Sequencing Project
Clinical Omics, October 18, 2019 - Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.
Chung Yoonho et al. JAMA psychiatry 2018 75(9) 960-968 - EXPLORATORY ANALYSIS OF POLYGENIC RISK SCORES FOR PSYCHIATRIC DISORDERS: APPLIED TO DUAL DIAGNOSIS.
Martínez-Magaña José J et al. Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion 2019 71(5) 321-329 - Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook.
Birnbaum M L et al. NPJ schizophrenia 2019 Oct 5(1) 17 - Was the Human Genome Project a dud?
EF Torrey, Dallas Morning News, October 13, 2019 - A large data resource of genomic copy number variation across neurodevelopmental disorders
Mehdi Zarrei, et al. Genomic Medcine, October 7, 2019
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