AlzGene

AlzGene
Name	AlzGene
Type	Genetic association database
Launch	2007
Status	Archived

AlzGene

AlzGene was an online database compiling genetic association studies for Alzheimer's disease, built to aggregate evidence from peer-reviewed journals and provide meta-analyses for researchers and clinicians. It aimed to centralize data from diverse sources to inform study design, replication efforts, and translational research. Major contributors and stakeholders included academic centers, professional societies, and funding bodies across North America, Europe, and Asia.

Overview

AlzGene aggregated published genetic association results from journals such as Nature Genetics, The Lancet, Neuron, Science, and American Journal of Human Genetics, synthesizing findings from research groups at institutions like Harvard University, University of Cambridge, Johns Hopkins University, Massachusetts Institute of Technology, and University College London. It served investigators working alongside consortia such as the Alzheimer's Disease Neuroimaging Initiative, International Genomics of Alzheimer's Project, European Alzheimer’s Disease Initiative, and networks tied to agencies like the National Institutes of Health and the Wellcome Trust. The platform facilitated connections among researchers in laboratories at Columbia University, Stanford University, University of California, San Francisco, UCL Queen Square Institute of Neurology, and industry partners including pharmaceutical companies involved in clinical trials at sites like Mayo Clinic and Mount Sinai Hospital.

Database Content and Methodology

The database curated single-nucleotide polymorphism (SNP) and gene-level association data extracted from publications by investigative teams at places such as University of Pennsylvania, McGill University, Karolinska Institutet, University of Toronto, and Peking University. Methods combined literature searches of periodicals including Journal of Biological Chemistry, PLoS Genetics, Human Molecular Genetics, Brain, and Annals of Neurology with meta-analytic techniques employed in statistical genetics groups at University of Washington, University of Oxford, Imperial College London, and Cold Spring Harbor Laboratory. Data items included sample sizes from cohorts at Alzheimer's Disease Research Center, allele frequencies reported by clinical centers like Cleveland Clinic, effect sizes from case-control studies at Vanderbilt University Medical Center, and heterogeneity metrics used by analysts at University of California, Los Angeles.

Key Findings and Impact on Alzheimer's Research

AlzGene highlighted replicated associations in genes previously implicated by landmark studies at institutions such as Mayo Clinic, Karolinska Institute, University College Dublin, and King's College London and contextualized emergent signals from genome-wide association studies led by teams at deCODE genetics, Genentech, GlaxoSmithKline, and university consortia. The resource influenced investigators designing follow-up functional studies at laboratories like Salk Institute, The Rockefeller University, Broad Institute, and Fred Hutchinson Cancer Research Center and shaped target nomination strategies used by translational groups at Biogen, Eli Lilly and Company, and Roche. It informed meta-analyses featured in reviews authored by scholars at Columbia University Medical Center, Yale School of Medicine, Johns Hopkins Bloomberg School of Public Health, and policy discussions within organizations such as the Alzheimer's Association.

Criticisms and Limitations

Critiques came from researchers at institutions including Princeton University, University of Chicago, University of Michigan, University of Edinburgh, and ETH Zurich who noted publication bias, variable phenotyping across cohorts like those recruited at Beth Israel Deaconess Medical Center and Singapore General Hospital, and inconsistent reporting standards in journals such as Genetics and Nature Communications. Limitations cited by statisticians at Carnegie Mellon University, University of California, Berkeley, and University of Southern California involved heterogeneous ancestry representation affecting populations studied by groups at University of Ibadan, University of Cape Town, and Universidad Nacional Autónoma de México. Critics referenced methodological debates occurring at conferences hosted by Cold Spring Harbor Laboratory and Gordon Research Conferences.

History and Development

The project was initiated by investigators affiliated with universities and research centers including University of Pittsburgh, University of Antwerp, University of Barcelona, and Università di Padova, drawing on funding models used by agencies such as European Research Council, Medical Research Council (United Kingdom), and Canadian Institutes of Health Research. Early phases paralleled the expansion of genome-wide association infrastructure at institutions like Wellcome Sanger Institute and collaborations with groups behind dbGaP and other genomic repositories. Subsequent archival and maintenance interactions involved teams at University of Melbourne, National University of Singapore, and research computing units at Princeton University.

Access and Usage

Researchers and clinicians from centers including Karolinska Institutet, Stanford Medicine, University of Sydney, Seoul National University Hospital, and Imperial College Healthcare NHS Trust used the database for hypothesis generation, replication planning, and literature synthesis. Usage patterns mirrored practices at academic libraries and informatics units at Library of Congress, Wellcome Library, and National Library of Medicine. The resource was referenced in systematic reviews and guidelines authored by experts at World Health Organization-affiliated working groups and multiple university departments.

Category:Genetic databases