Learn to use the Genetic Association Database (or GAD), an annotated resource connecting human genes and polymorphisms to diseases and traits. Explore genetic associations via diseases, genes, polymorphisms, references, or environmental factors. Results are first displayed in tables, to give you an immediate big-picture view of the field. Then individual rows can be opened up to see specific details for every genetic association.
You will learn:
This tutorial is a part of the tutorial group Human variations. You might find the other tutorials in the group interesting:
Madeline 2.0: Human pedigree diagram tools
DrugBank: A chemoinformatics and bioinformatics resource
DGV: Database of Genomic Variants: Database of Genomic Variants, DGV, catalogs and displays structural variation in the human genome
OMIM: Online Mendelian Inheritance in Man (OMIM): A database of human genes, genetic diseases and disorders
CGAP: Characterize the molecular genetic changes that cause a normal cell to become a cancer cell
ENCODE Foundations: ENCyclopedia of DNA Elements
GeneSNPs: An integrated view of gene structure and SNP variations
NIEHS SNPs: National Institute for Environmental Health Sciences Environmental Genome Project (EGP) SNPs
HapMap: HapMap, a database and analysis resource of human variation
Genetics Home Reference: A collection of data describing the effects of genetic variability on human health and disease
dbGaP: A database of genotypes and phenotypes with extensive variation data and clinical details
SeattleSNPs: Human SNPs in genes
dbSNP: NCBI's SNP database
GeneTests: GeneTests, a current, comprehensive genetic testing resource
Variation & Medical : Resources that include information about sequence variation, phenotypes, or medically-relevant conditions.
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Software bonanza...: Still enjoying the ICSB meeting, and it is a gorgeous fallish morning in GÃ¶teborg. What a great city and terrific people here. Not entirely sure I want to come home.... My brain is approaching "full" a...
Linking phenotypes and genotypes.: Ok, that's a really broad title for an important area. And it is a problem that we are starting to see addressed more and more with GWAS (genome wide association studies). If you came here hoping that...
Recent BioMed Central research articles citing this resource
Bødker Støve Julie et al., Molecular classification of tissue from a transformed non-Hogkin’s lymphoma case with unexpected long-time remission. Experimental Hematology Oncology (2017) doi:10.1186/s40164-016-0063-0
Huang Chao et al., XIAP BIR domain suppresses miR-200a expression and subsequently promotes EGFR protein translation and anchorage-independent growth of bladder cancer cell. Journal of Hematology Oncology (2017) doi:10.1186/s13045-016-0376-9
Liu Qing et al., Identification of host proteins interacting with Toxoplasma gondii GRA15 (TgGRA15) by yeast two-hybrid system. Parasites Vectors (2017) doi:10.1186/s13071-016-1943-1
Kunde A. Dale et al., Bitter melon protects against ER stress in LS174T colonic epithelial cells Basic research. BMC Complementary and Alternative Medicine (2017) doi:10.1186/s12906-016-1522-1
Guo Yan-li et al., Aberrant methylation of DACT1 and DACT2 are associated with tumor progression and poor prognosis in esophageal squamous cell carcinoma. Journal of Biomedical Science (2017) doi:10.1186/s12929-016-0308-6