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GWAS Study

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

Xu C, Aragam N, Li X et al.

23382809 PubMed ID
GWAS Study Type
4500 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

XC
Xu C
AN
Aragam N
LX
Li X
VE
Villla EC
WL
Wang L
BD
Briones D
PL
Petty L
PY
Posada Y
AT
Arana TB
CG
Cruz G
MC
Mao C
CC
Camarillo C
SB
Su BB
EM
Escamilla MA
WK
Wang K
Chapter II

Abstract

Summary of the research findings

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<5×10(-5). Especially we detected five SNPs in the first two genes/loci strongly associated with negative symptoms of schizophrenia (P(meta-analysis)<6.22×10(-6)), which included three SNPs in the BCL9 gene: rs583583 showed the strongest association at a P(meta-analysis) of 6.00×10(-7) and two SNPs in the C9orf5 (the top SNP is rs643410 with a p = 1.29 ×10(-6)). Through meta-analysis, we identified several additional negative symptoms associated genes (ST3GAL1, RNF144, CTNNA3 and ZNF385D). This is the first report of the common variants influencing negative symptoms of schizophrenia. These results provide direct evidence of using of negative symptoms as an intermediate phenotype to dissect the complex genetics of schizophrenia. However, additional studies are warranted to examine the underlying mechanisms of these disease-associated SNPs in these genes.

1,774 European ancestry cases, 2,726 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

4500
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.S.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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