Document Type
Article
Publication Date
2013
Abstract
Schizophrenia is a chronic and debilitating psychiatric condition affecting slightly more than 1% of the population worldwide and it is a multifactorial disorder with a high degree of heritability (80%) based on family and twin studies. Increasing lines of evidence suggest intermediate phenotypes/endophenotypes are more associated with causes of the disease and are less genetically complex than the broader disease spectrum. Negative symptoms in schizophrenia are attractive intermediate phenotypes based on their clinical and treatment response features. Therefore, our objective was to identify genetic variants underlying the negative symptoms of schizophrenia by analyzing two genome-wide association (GWA) data sets consisting of a total of 1,774 European-American patients and 2,726 controls. Logistic regression analysis of negative symptoms as a binary trait (adjusted for age and sex) was performed using PLINK. For meta-analysis of two datasets, the fixed-effect model in PLINK was applied. Through meta-analysis we identified 25 single nucleotide polymorphisms (SNPs) associated with negative symptoms with p
Recommended Citation
Xu, C., Aragam, N., Li, X., Villla, E. C., Wang, L., Briones, D., Petty, L., Posada, Y., Arana, T. B., Cruz, G., Mao, C., Camarillo, C., Su, B. B., Escamilla, M. A., & Wang, K. (2013). BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies. PloS one, 8(1), e51674. https://doi.org/10.1371/journal.pone.0051674
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
PLoS One
DOI
10.1371/journal.pone.0051674
Comments
Copyright 2013 Xu et al.