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Meta-analysis of the Association between Alzheimer Disease and Variants in GAB2, PICALM, and SORL1

Overview of attention for article published in Molecular Neurobiology, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Meta-analysis of the Association between Alzheimer Disease and Variants in GAB2, PICALM, and SORL1
Published in
Molecular Neurobiology, November 2015
DOI 10.1007/s12035-015-9546-y
Pubmed ID
Authors

Ziran Wang, Hongyan Lei, Mei Zheng, Yuxin Li, Yansen Cui, Fang Hao

Abstract

The genetic variants play a crucial role in the pathogenesis of Alzheimer's disease (AD), while the relationships of specific single nucleotide polymorphisms (SNPs) with AD are still controversial. We performed the meta-analysis to obtain a more precise estimation of whether growth factor receptor-bound protein-associated binding protein 2 (GAB2), phosphatidylinositol binding clathrin assembly protein (PICALM), and sortilin-related receptor (SORL1) variants are associated with AD. Databases including PubMed, Embase, and Cochrane Library were searched to find relevant studies. Cochran's Q-statistic and I (2) were used to assess the heterogeneity among the included studies. Odds ratios (OR) and 95 % confidence intervals (95 % CIs) were conducted to evaluate the association between the SNP and the susceptibility to AD. Publication bias was estimated by funnel plots. All of the statistical analyses were implemented using R Version 3.2.1 software. A total of 35 case-control studies involving 15 SNPs were included. There was no significant association between SNPs of GAB2 rs2373115 (G > T) and PICALM rs541458 (C > T) and AD. The allele T of rs3851179 in PICALM was associated with a 13 % increase in the risk of AD. Seven SNPs on SORL1 were significantly associated with AD. Four SNPs, including rs1010159*T, rs641120*A, rs668387*T, and rs689021*A, were associated with a decreased risk of AD, while the other three SNPs, including rs12285364*T, rs2070045*G, and rs2282649*T, were all associated with an increased risk of AD. The results of the present study suggested that multiple gene variants were associated with AD. The SNP of rs3851179 (PICALM), rs12285364 (SORL1), rs2070045 (SORL1), and rs2282649 (SORL1) was associated with an increased risk of AD, whereas SORL1 rs1010159, rs641120, rs668387, and rs689021 were associated with a decreased risk of AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Ph. D. Student 11 15%
Student > Master 11 15%
Student > Bachelor 9 13%
Student > Postgraduate 4 6%
Other 8 11%
Unknown 16 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 21%
Medicine and Dentistry 9 13%
Neuroscience 9 13%
Agricultural and Biological Sciences 9 13%
Nursing and Health Professions 3 4%
Other 8 11%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 December 2015.
All research outputs
#3,201,042
of 22,834,308 outputs
Outputs from Molecular Neurobiology
#660
of 3,458 outputs
Outputs of similar age
#56,484
of 387,438 outputs
Outputs of similar age from Molecular Neurobiology
#29
of 156 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,458 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 387,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.