Gene- and evidence-based candidate gene selection for schizophrenia and gene feature analysis.

Artificial Intelligence in Medicine
J SunZ Zhao

Abstract

Schizophrenia is a chronic psychiatric disorder that affects about 1% of the population globally. A tremendous amount of effort has been expended in the past decade, including more than 2400 association studies, to identify genes influencing susceptibility to the disorder. However, few genes or markers have been reliably replicated. The wealth of this information calls for an integration of gene association data, evidence-based gene ranking, and follow-up replication in large sample. The objective of this study is to develop and evaluate evidence-based gene ranking methods and to examine the features of top-ranking candidate genes for schizophrenia. We proposed a gene-based approach for selecting and prioritizing candidate genes by combining odds ratios (ORs) of multiple markers in each association study and then combining ORs in multiple studies of a gene. We named it combination-combination OR method (CCOR). CCOR is similar to our recently published method, which first selects the largest OR of the markers in each study and then combines these ORs in multiple studies (i.e., selection-combination OR method, SCOR), but differs in selecting representative OR in each study. Features of top-ranking genes were examined by Gene Onto...Continue Reading

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Citations

Nov 8, 2012·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Panos RoussosVahram Haroutunian
Mar 15, 2013·Proceedings of the National Academy of Sciences of the United States of America·Christopher L HowertonTracy L Bale
Dec 7, 2013·BMC Genomics·Ravi V AtreyaZhongming Zhao
Jun 11, 2011·BMC Medical Genetics·Berta AlmogueraUNKNOWN Spanish Consortium of Pharmacogenetics Research in Schizophrenia
Feb 19, 2011·International Journal of Computational Biology and Drug Design·Zhongming ZhaoJudith Klein-Seetharaman
Jan 5, 2010·Artificial Intelligence in Medicine·Yonghong PengLipo Wang
Oct 17, 2019·Journal of Bioinformatics and Computational Biology·Md Ashad AlamYu-Ping Wang

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