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Association of late-onset Alzheimer's disease with genetic variation in multiple members of the GAPD gene family

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, October 2004
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
4 patents
wikipedia
2 Wikipedia pages

Citations

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123 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Association of late-onset Alzheimer's disease with genetic variation in multiple members of the GAPD gene family
Published in
Proceedings of the National Academy of Sciences of the United States of America, October 2004
DOI 10.1073/pnas.0403535101
Pubmed ID
Authors

Yonghong Li, Petra Nowotny, Peter Holmans, Scott Smemo, John S. K. Kauwe, Anthony L. Hinrichs, Kristina Tacey, Lisa Doil, Ryan van Luchene, Veronica Garcia, Charles Rowland, Steve Schrodi, Diane Leong, Goran Gogic, Joanne Chan, Anibal Cravchik, David Ross, Kit Lau, Shirley Kwok, Sheng-Yung Chang, Joe Catanese, John Sninsky, Thomas J. White, John Hardy, John Powell, Simon Lovestone, John C. Morris, Leon Thal, Michael Owen, Julie Williams, Alison Goate, Andrew Grupe

Abstract

Although several genes have been implicated in the development of the early-onset autosomal dominant form of Alzheimer's disease (AD), the genetics of late-onset AD (LOAD) is complex. Loci on several chromosomes have been linked to the disease, but so far only the apolipoprotein E gene has been consistently shown to be a risk factor. We have performed a large-scale single-nucleotide polymorphism (SNP)-based association study, across the region of linkage on chromosome 12, in multiple case-control series totaling 1,089 LOAD patients and 1,196 control subjects and report association with SNPs in the glyceraldehyde-3-phosphate dehydrogenase (GAPD) gene. Subsequent analysis of GAPD paralogs on other chromosomes demonstrated association with two other paralogs. A significant association between LOAD and a compound genotype of the three GAPD genes was observed in all three sample sets. Individually, these SNPs make differential contributions to disease risk in each of the casecontrol series, suggesting that variants in functionally similar genes may account for series-to-series heterogeneity of disease risk. Our observations raise the possibility that GAPD genes are AD risk factors, a hypothesis that is consistent with the role of GAPD in neuronal apoptosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
India 1 2%
Russia 1 2%
Spain 1 2%
United States 1 2%
Unknown 59 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 37%
Professor 6 9%
Student > Ph. D. Student 6 9%
Professor > Associate Professor 6 9%
Other 5 8%
Other 11 17%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 40%
Biochemistry, Genetics and Molecular Biology 8 12%
Neuroscience 7 11%
Medicine and Dentistry 7 11%
Computer Science 2 3%
Other 6 9%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 November 2018.
All research outputs
#3,914,244
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#36,641
of 101,438 outputs
Outputs of similar age
#6,360
of 66,742 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#101
of 440 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 59% 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 66,742 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 86% of its contemporaries.
We're also able to compare this research output to 440 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.