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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated Genetic Analysis of Racial Differences of Common GBA Variants in Parkinson's Disease: A Meta-Analysis
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, February 2018
|
| DOI | 10.3389/fnmol.2018.00043 |
| Pubmed ID | |
| Authors |
Yuan Zhang, Li Shu, Qiying Sun, Xun Zhou, Hongxu Pan, Jifeng Guo, Beisha Tang |
| Abstract |
Background: Numerous studies have indicated that there is a possible relationship between GBA variants and Parkinson's disease (PD), however, most of them focused on a few variants such as L444P, N370S. We performed a comprehensive pooled analysis to clarify the relationship between variations of GBA and the risk of PD in different racial groups. Methods: Standard meta-analysis was conducted, including generating inclusion and exclusion criteria, searching literature, extracting and analyzing data. Results: Fifty studies containing 20,267 PD patients and 24,807 controls were included. We found that variants 84insGG, IVS2+1G>A, R120W, H255Q, E326K, T369M, N370S, D409H, L444P, R496H and RecNciI increased the risk of PD in total populations (OR: 1.78-10.49; p: <0.00001, 0.00005, 0.0008, 0.005, <0.00001, 0.004, <0.00001, 0.0003, <0.00001, <0.0001, 0.0001). In subgroup analysis by ethnicity, in AJ populations, variants 84insGG, R496H, N370S increased the risk of PD (OR: 9.26-3.51; p: <0.00001, <0.0001, <0.00001). In total non-AJ populations, variants L444P, R120W, IVS2+1G>A, H255Q, N370S, D409H, RecNciI, E326K, T369M increased the risk of PD (OR: 8.66-1.89; p: <0.00001, 0.0008, 0.02, 0.005, <0.00001, 0.001, 0.0001, <0.00001, 0.002). Among the non-AJ populations, pooled analysis from five different groups were done separately. Variants L444P, N370S, H255Q, D409H, RecNciI, E326K increased risk of PD (OR: 6.52-1.84; p: <0.00001, <0.00001, 0.005, 0.005, 0.04, <0.00001) in European/West Asians while R120W and RecNciI in East Asians (OR: 14.93, 3.56; p: 0.001, 0.003). L444P increased the risk of PD in Hispanics, East Asians and Mixed populations (OR: 15.44, 12.43, 7.33; p: 0.00004, <0.00001, 0.009). Lacking of enough original studies, we failed to conduct quantitative analysis in Africa. Conclusions: Obvious racial differences were found for GBA variants in PD. 84insGG and R496H exclusively increased PD risks in AJ populations, so did L444P, R120W, IVS2+1G>A, H255Q, D409H, RecNciI, E326K, T369M in non-AJ populations. N370S increased the risk of PD in both ethnics. In non-AJ subgroup populations, N370S, H255Q, D409H, E326K exclusively increased PD risks in European/West Asians, as were R120W in East Asians. L444P increased the risk of PD in all groups in non-AJ ethnicity. These results will contribute to the future genetic screening of GBA gene in PD. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 7 | 9% |
| Lecturer > Senior Lecturer | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 15 | 19% |
| Medicine and Dentistry | 10 | 13% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Agricultural and Biological Sciences | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 9 | 11% |
| Unknown | 33 | 42% |
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 13 March 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,288
of 2,913 outputs
Outputs of similar age
#356,251
of 474,288 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#105
of 124 outputs
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