ADGC: Alzheimer Disease Genetics Consortium
The goal of the ADGC is to identify genetic variants associated with risk for AD. It has long been known that genetic factors play an important role in the development of AD. Familial aggregation studies show that first degree relatives of probands with AD are more likely to have or develop AD compared to relatives of controls. Twin studies show a higher concordance of AD among monozygotic compared to dizygotic twins, with heritability estimates of 60% to 80%. The Alzheimer s Disease Genetics Consortium is funded by a grant from the National Institute on Aging (PI, Gerard D. Schellenberg; UO1AG032984)
ADSP: Alzheimer Disease Sequencing Project
The overarching goals of the ADSP are to:
- Identify new genomic variants contributing to increased risk of developing Late-Onset Alzheimer’s Disease (LOAD)
- Identify new genomic variants contributing to protection against developing Alzheimer’s Disease (AD)
- Provide insight as to why individuals with known risk factor variants escape from developing AD
- Examine these factors in multi-ethnic populations as applicable in order to identify new pathways for disease prevention
CADRE: Collaboration on Alzheimer Disease REsearch
IGAP: International Genetics of Alzheimer’s Disease Project
The aim of the International Genomics of Alzheimer’s Project (IGAP) consortium is to discover and map the genes that contribute to Alzheimer’s disease (AD). The effort spans several consortia focused on AD and includes universities from Europe and the U.S. The goal is to create a shared resource database that includes genetic data for the more than 40,000 individuals with AD.
IAMDGC: International Age-related Macular Degeneration Genomics Consortium
NEI created the International AMD Genetics Consortium in 2010 to identify the remaining genetic risk variants for AMD. To increase the statistical power needed to identify genes that have small, yet significant contributions to AMD, the consortium is conducting a meta-analysis on 15 Genome Wide Association Studies (GWAS) representing over 8,000 patients with AMD and 50,000 controls. In addition to verifying known genes, the consortium identified 19 new gene variants. The genes identified in these studies function in the immune system, cholesterol transport and metabolism, and formation and maintenance of connective tissue. This study provides a nearly complete picture of genetic heritability for AMD. NEI’s effort to unite the international research community to share GWAS data sets made it possible to solve a common goal in our understanding of this blinding disease.
NEIGHBORHOOD: National Eye Institute Glaucoma Human genetics collaBORation Heritable Overall Operational Database
The goals of the NEIGHBORHOOD are to:
– expand the NEIGHBOR and GLAUGEN consortia to create the NEIGHBORHOOD (NEIGHBOR Heritable Overall Operational Database) consortium and database. This will include harmonized genotype and phenotype data for a total of 4,652 POAG cases, 16,909 subjects with optic nerve cup-to-disc ratio (CDR) measurements and 42,486 controls;
-use this enhanced dataset to perform meta-analyses to identify novel genes influencing CDR, as well as genes that contribute to POAG.
PHENX: Consensus measures for PHENotypes and eXposures
Supported by a cooperative agreement from the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH), PhenX was launched in September 2007 with the goal to provide the scientific community with recommended, standard high-priority measures of phenotypes and exposures for use in Genome-wide Association Studies (GWAS) and more generally, epidemiological and biomedical research.