A major controversy in psychiatric genetics is whether nonadditive genetic interaction effects contribute to the risk of highly polygenic disorders. We applied a support vector machines (SVMs) approach, which is capable of building linear and nonlinear models using kernel methods, to classify cases from controls in a large schizophrenia case–control sample of 11,853 subjects (5,554 cases and 6,299 controls) and compared its prediction accuracy with the polygenic risk score (PRS) approach. We also investigated whether SVMs are a suitable approach to detecting nonlinear genetic effects, that is, interactions. We found that PRS provided more accurate case/control classification than either linear or nonlinear SVMs, and give a tentative explana...
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase...
Genetic factors account for up to 80% of the liability for schizophrenia and bipolar disorder. Genom...
Background: There is increasing evidence for shared genetic susceptibility between schizophrenia and...
A major controversy in psychiatric genetics is whether nonadditive genetic interaction effects contr...
Studies have shown that there are potentially thousands of common genetic variations implicated in ...
One of the biggest challenges in psychiatric genetics is examining the effects of interactions betwe...
The complexity of schizophrenia raises a formidable challenge. Its diverse genetic architecture, inf...
Schizophrenia affects one percent of the population and has life-long debilitating consequences for ...
Genetic risk variants for schizophrenia have been linked to many related clinical and biological phe...
Machine learning (ML) holds promise for precision psychiatry, but its predictive performance is uncl...
Genome-wide association studies (GWAS) have identified over 100 loci associated with schizophrenia. ...
Analyses of genome-wide association study data have demonstrated that there are potentially thousand...
Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized a...
Background: Schizophrenia risk is associated with genetic variation and with early life environmenta...
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase...
Genetic factors account for up to 80% of the liability for schizophrenia and bipolar disorder. Genom...
Background: There is increasing evidence for shared genetic susceptibility between schizophrenia and...
A major controversy in psychiatric genetics is whether nonadditive genetic interaction effects contr...
Studies have shown that there are potentially thousands of common genetic variations implicated in ...
One of the biggest challenges in psychiatric genetics is examining the effects of interactions betwe...
The complexity of schizophrenia raises a formidable challenge. Its diverse genetic architecture, inf...
Schizophrenia affects one percent of the population and has life-long debilitating consequences for ...
Genetic risk variants for schizophrenia have been linked to many related clinical and biological phe...
Machine learning (ML) holds promise for precision psychiatry, but its predictive performance is uncl...
Genome-wide association studies (GWAS) have identified over 100 loci associated with schizophrenia. ...
Analyses of genome-wide association study data have demonstrated that there are potentially thousand...
Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized a...
Background: Schizophrenia risk is associated with genetic variation and with early life environmenta...
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase...
Genetic factors account for up to 80% of the liability for schizophrenia and bipolar disorder. Genom...
Background: There is increasing evidence for shared genetic susceptibility between schizophrenia and...