Neurological

Model can identify cases of schizophrenia due to DNA methylation in the blood

Subjects ” Neurological behavior disorders

HealthDay News – A machine learning case-control classifier can identify schizophrenia by DNA methylation in the blood, according to a study published online Aug. 3 in Translational Psychiatry.

Chathura J. Gunasekara, Ph.D., of Baylor College of Medicine, Houston, and colleagues trained a schizophrenia case-control classifier based on DNA methylation in blood, focusing on human genomic regions of systemic inter-individual epigenetic variation (CoRSIVs); a subset of these is shown on the Human Methylation 450K (HM450) array. HM450 DNA methylation data from 414 schizophrenia cases and 433 non-psychiatric controls were used as training data for a classification algorithm. A “risk distance” was calculated to identify individuals with the highest likelihood of developing schizophrenia using the first two sparse partial least squares analysis dimensions. The model was then evaluated in 353 schizophrenia cases and 322 non-psychiatric controls.

The researchers found that the CoRSIV-based model classified 303 people as cases with a positive predictive value of 80 percent, which outperformed a polygenic risk-score-based model. The methylation-based risk distance was not associated with medication use. A positive correlation was observed for the risk distance and the polygenic risk score; a mediation analysis showed that genetic effects were partly mediated by altered methylation in CoRSIVs.

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“We view our study as fundamental evidence that focusing on CoRSIVs enables epigenetic epidemiology,” a co-author said in a statement.

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Diagnostic tests neurobehavioral disorders schizophrenia

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