BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies

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/en...

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Bibliographic Details
Published in:PloS one 2013-01, Vol.8 (1), p.e51674
Main Authors: Xu, Chun, Aragam, Nagesh, Li, Xia, Villla, Erika Cynthia, Wang, Liang, Briones, David, Petty, Leonora, Posada, Yolanda, Arana, Tania Bedard, Cruz, Grace, Mao, ChunXiang, Camarillo, Cynthia, Su, Brenda Bin, Escamilla, Michael A, Wang, KeSheng
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Aged, 80 and over
Bioinformatics
Biology
Bipolar disorder
Departments
Disease
Emotional behavior
Epidemiology
Female
Genes
Genetic aspects
Genetic diversity
Genetic Predisposition to Disease
Genetic research
Genetic variance
Genetics
Genome-Wide Association Study
Genomes
Genomics
Genotype
Health sciences
Heritability
Humans
Male
Mathematics
Medicine
Membrane Proteins - genetics
Mental disorders
Meta-analysis
Middle Aged
Neoplasm Proteins - genetics
Neurology
Neurophysiology
Neurosciences
Phenotype
Polymorphism, Single Nucleotide
Psychiatry
Public health
Regression analysis
Schizophrenia
Schizophrenia - genetics
Schizophrenia - physiopathology
Single nucleotide polymorphisms
Single-nucleotide polymorphism
Studies
Transcription Factors
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Summary: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
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0051674