Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

URL: http://www.alzgene.org
Full name:
Description: Our database provides a powerful tool for deciphering the genetics of Alzheimer disease, and it serves as a potential model for tracking the most viable gene candidates in other genetically complex diseases.
Year founded: 2007
Last update:
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: United States
Data type:
DNA
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Massachusetts General Hospital
Address:
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Bertram L
Contact email (PI/Helpdesk): bertram@helix.mgh.harvard.edu

Publications

17192785
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. [PMID: 17192785]
Bertram L, McQueen MB, Mullin K, Blacker D, Tanzi RE.

The past decade has witnessed hundreds of reports declaring or refuting genetic association with putative Alzheimer disease susceptibility genes. This wealth of information has become increasingly difficult to follow, much less interpret. We have created a publicly available, continuously updated database that comprehensively catalogs all genetic association studies in the field of Alzheimer disease (http://www.alzgene.org). We performed systematic meta-analyses for each polymorphism with available genotype data in at least three case-control samples. In addition to identifying the epsilon4 allele of APOE and related effects, we pinpointed over a dozen potential Alzheimer disease susceptibility genes (ACE, CHRNB2, CST3, ESR1, GAPDHS, IDE, MTHFR, NCSTN, PRNP, PSEN1, TF, TFAM and TNF) with statistically significant allelic summary odds ratios (ranging from 1.11-1.38 for risk alleles and 0.92-0.67 for protective alleles). Our database provides a powerful tool for deciphering the genetics of Alzheimer disease, and it serves as a potential model for tracking the most viable gene candidates in other genetically complex diseases.

Nat Genet. 2007:39(1) | 936 Citations (from Europe PMC, 2021-06-19)

Ranking

All databases:
146/5061 (97.135%)
Genotype phenotype and variation:
24/705 (96.738%)
146
Total Rank
936
Citations
66.857
z-index

Community reviews

Not Rated
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Word cloud

Record metadata

Created on: 2018-01-27
Curated by:
Rabail Raza [2018-12-27]
Tongkun Guo [2018-02-25]