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Article

Machine learning in schizophrenia genomics, a case-control study using 5,090 exomes.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics - 1 Mar 2019

Trakadis Yannis J, Sardaar Sameer, Chen Anthony, Fulginiti Vanessa, Krishnan Ankur

Abstract excerpt

Our hypothesis is that machine learning (ML) analysis of whole exome sequencing (WES) data can be used to identify individuals at high risk for schizophrenia (SCZ). This study applies ML to WES data from 2,545 individuals with SCZ and 2,545 unaffected individuals, accessed via the database of genotypes and phenotypes (dbGaP). Single nucleotide variants and small insertions and deletions were annotated by ANNOVAR...

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Identifiers

PMID: 29704323
DOI: 10.1002/ajmg.b.32638

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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