| Title |
CLU rs9331888 Polymorphism Contributes to Alzheimer’s Disease Susceptibility in Caucasian But Not East Asian Populations
|
|---|---|
| Published in |
Molecular Neurobiology, January 2015
|
| DOI | 10.1007/s12035-015-9098-1 |
| Pubmed ID | |
| Authors |
Shuyan Zhang, Xuling Li, Guoda Ma, Yongshuai Jiang, Mingzhi Liao, Rennan Feng, Liangcai Zhang, Jiafeng Liu, Guangyu Wang, Bin Zhao, Qinghua Jiang, Keshen Li, Guiyou Liu |
| Abstract |
Large-scale genome-wide association studies (GWAS) identified three single nucleotide polymorphisms rs11136000, rs2279590, and rs9331888 in CLU gene to be significantly associated with Alzheimer's disease (AD) in Caucasian ancestry. Both rs11136000 and rs2279590 variants were successfully replicated in Asian population. However, previous studies reported either a weak association or no association between rs9331888 polymorphism and AD in Asian population. Here, we searched the PubMed, AlzGene, and Google Scholar databases. We selected 12 independent studies that evaluated the association between the rs9331888 polymorphism and AD using a case-control design. Using an additive model, we did not identify significant heterogeneity among these 12 studies. We observed significant association between rs9331888 polymorphism and AD in pooled populations (P = 2.26E - 07, odds ratio (OR) = 1.10, 95 % confidence interval (CI) 1.06-1.14). In subgroup analysis, we did not identify significant heterogeneity in both Asian and Caucasian populations. We identified significant association in Caucasian population (P = 1.67E - 08, OR = 1.13, 95 % CI 1.08-1.18) but not in East Asian population (P = 0.49, OR = 1.02, 95 % CI 0.96-1.10). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Student > Bachelor | 6 | 15% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Professor | 4 | 10% |
| Other | 5 | 12% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Neuroscience | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Psychology | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2015.
All research outputs
#20,254,575
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Outputs from Molecular Neurobiology
#2,780
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Outputs of similar age
#296,969
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Outputs of similar age from Molecular Neurobiology
#42
of 53 outputs
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