Please cite this article as follows: Sun J, Kuo P-H, Riley BP, Kendler KS, Zhao Z. 2008. Candidate Genes for Schizophrenia: A Survey of Association Studies and Gene Ranking. Am J Med Genet Part B 147B:1173–1181.
Candidate genes for schizophrenia: A survey of association studies and gene ranking†
Version of Record online: 24 MAR 2008
Copyright © 2008 Wiley-Liss, Inc.
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Volume 147B, Issue 7, pages 1173–1181, 5 October 2008
How to Cite
Sun, J., Kuo, P.-H., Riley, B. P., Kendler, K. S. and Zhao, Z. (2008), Candidate genes for schizophrenia: A survey of association studies and gene ranking. Am. J. Med. Genet., 147B: 1173–1181. doi: 10.1002/ajmg.b.30743
- Issue online: 18 SEP 2008
- Version of Record online: 24 MAR 2008
- Manuscript Accepted: 31 JAN 2008
- Manuscript Received: 15 OCT 2007
- NIH. Grant Number: MH-41953
- NARSAD Young Investigator Awards
- candidate genes;
- association studies;
- odds ratio
More than 500 genes have been reported with positive or negative association with schizophrenia. The wealth of this information, along with the complex nature of psychiatric disorders, provides a challenging but also unique opportunity for the investigation of molecular and cellular mechanisms in schizophrenia. In this study, we performed a comprehensive survey of the published association studies collected in the SchizophreniaGene database. We observed over time a strong trend for increases in the number of published reports, the number of studied genes, and the sample size of the studies. We also examined the studies, genes, and sample sizes in different ethnic populations and the distribution of these association studies and their employed markers among these susceptibility genes. We then selected and ranked candidate genes using a combined odds ratio method. The evaluation of this candidate gene set against sets selected by other methods suggested its utility in follow-up association studies and in further bioinformatics analysis. We also examined the functional biases of the selected genes. © 2008 Wiley-Liss, Inc.