The emerging field of polygenic risk scores and perspective for use in clinical care
Genetic testing is used widely for diagnostic, carrier and predictive testing in monogenic
diseases. Until recently, there were no genetic testing options available for multifactorial …
diseases. Until recently, there were no genetic testing options available for multifactorial …
Phytocannabinoids and schizophrenia: Focus on adolescence as a critical window of enhanced vulnerability and opportunity for treatment
The recent shift in socio-political debates and growing liberalization of Cannabis use across
the globe has raised concern regarding its impact on vulnerable populations such as …
the globe has raised concern regarding its impact on vulnerable populations such as …
[HTML][HTML] Polygenic scores in psychiatry: on the road from discovery to implementation
The hypothesis that multiple genetic variants contribute to psychiatric disorders was first
proposed for schizophrenia in the 1960s, based on epidemiological data (1). This polygenic …
proposed for schizophrenia in the 1960s, based on epidemiological data (1). This polygenic …
Widespread covariation of early environmental exposures and trait-associated polygenic variation
Although gene–environment correlation is recognized and investigated by family studies
and recently by SNP-heritability studies, the possibility that genetic effects on traits capture …
and recently by SNP-heritability studies, the possibility that genetic effects on traits capture …
Polygenic risk score increases schizophrenia liability through cognition-relevant pathways
Cognitive deficit is thought to represent, at least in part, genetic mechanisms of risk for
schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct …
schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct …
Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe
Genetic testing has evolved rapidly over recent years and new developments have the
potential to provide insights that could improve the ability to diagnose, treat, and prevent …
potential to provide insights that could improve the ability to diagnose, treat, and prevent …
[HTML][HTML] Machine learning for prediction of schizophrenia using genetic and demographic factors in the UK biobank
Abstract Machine learning (ML) holds promise for precision psychiatry, but its predictive
performance is unclear. We assessed whether ML provided added value over logistic …
performance is unclear. We assessed whether ML provided added value over logistic …
Jumping to conclusions, general intelligence, and psychosis liability: findings from the multi-centre EU-GEI case-control study
G Tripoli, D Quattrone, L Ferraro… - Psychological …, 2021 - cambridge.org
BackgroundThe 'jumping to conclusions'(JTC) bias is associated with both psychosis and
general cognition but their relationship is unclear. In this study, we set out to clarify the …
general cognition but their relationship is unclear. In this study, we set out to clarify the …
[HTML][HTML] Psychosis polyrisk score (PPS) for the detection of individuals at-risk and the prediction of their outcomes
Primary prevention in individuals at Clinical High Risk for psychosis (CHR-P) can ameliorate
the course of psychotic disorders. Further advancements of knowledge have been slowed …
the course of psychotic disorders. Further advancements of knowledge have been slowed …
Genome-wide association analyses of symptom severity among clozapine-treated patients with schizophrenia spectrum disorders
C Okhuijsen-Pfeifer, MZ van der Horst… - Translational …, 2022 - nature.com
Clozapine is the most effective antipsychotic for patients with treatment-resistant
schizophrenia. However, response is highly variable and possible genetic underpinnings of …
schizophrenia. However, response is highly variable and possible genetic underpinnings of …