BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations

Autor: Peng Ren, Wenyang Zhou, Yang Hu, Tao Wang, Shuilin Jin, Rui Tian, Jian Zong, Zhifa Han, Qinghua Jiang, Pingping Wang
Rok vydání: 2019
Předmět:
Candidate gene
Disease
Caucasian
lcsh:Computer applications to medicine. Medical informatics
Biochemistry
White People
Genetic Heterogeneity
03 medical and health sciences
0302 clinical medicine
Asian People
Alzheimer Disease
Structural Biology
Polymorphism (computer science)
Humans
Medicine
lcsh:QH301-705.5
Molecular Biology
East Asian
Adaptor Proteins
Signal Transducing
030304 developmental biology
Genetic association
0303 health sciences
Polymorphism
Genetic
Rs744373 polymorphism
Bridging integrator 1 (BIN1)
business.industry
Research
Tumor Suppressor Proteins
Applied Mathematics
Nuclear Proteins
Reproducibility of Results
Odds ratio
Publication bias
Confidence interval
Computer Science Applications
lcsh:Biology (General)
Sample size determination
lcsh:R858-859.7
business
Alzheimer’s disease
030217 neurology & neurosurgery
Genome-Wide Association Study
Demography
Zdroj: BMC Bioinformatics, Vol 20, Iss S25, Pp 1-12 (2019)
BMC Bioinformatics
ISSN: 1471-2105
DOI: 10.1186/s12859-019-3264-9
Popis: BackgroundThe association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power.ResultsWe conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding.ConclusionsThe large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations.
Databáze: OpenAIRE
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