Learn to use NIEHS SNPs Environmental Genome Program at the University of Washington. NIEHS SNPs has systematically identified and genotyped single nucleotide polymorphisms (SNPs) in environmental response genes. This data has resulted in the characterization of many new variations that will greatly help research into disease genes that respond to environmental stimulus. The NIEHS SNPs site contains the data generated by this project with links to other resources to better research and understand the human variation in environment response genes. The NIEHS SNPs website contains data generated by this project, and links to other resources enabling better research and understanding of human variation in environmental response genes.
You will learn:
This tutorial is a part of the tutorial group Human variations. You might find the other tutorials in the group interesting:
GAD: Genetic Association Database: An archived database associating human genes and polymorphisms with diseases
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
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.
Tip of the Week: PolyPhen: There are several methods that can be used to predict if a particular non-synonymous SNP is deleterious; SIFT and PolyPhen, among others. Which one to use will be up to the individual researcher and th...
SNPedia on the HapMap GBrowser: SNPs are hot. Everywhere we go for training people want to see SNPs. SNPs from many sources. And we know a lot of places to find them. Although everything gets in to dbSNP, of course, sometimes it help...
Recent BioMed Central research articles citing this resource
Bains K Ripudaman et al., Molecular diversity and population structure at the Cytochrome P450 3A5 gene in Africa Human population genetics. BMC Genetics (2013) doi:10.1186/1471-2156-14-34
Sicotte Hugues et al., SNPPicker: High quality tag SNP selection across multiple populations. BMC Bioinformatics (2011) doi:10.1186/1471-2105-12-129
Casals Ferran et al., Genetic adaptation of the antibacterial human innate immunity network. BMC Evolutionary Biology (2011) doi:10.1186/1471-2148-11-202
Cagliani Rachele et al., Balancing selection is common in the extended MHC region but most alleles with opposite risk profile for autoimmune diseases are neutrally evolving. BMC Evolutionary Biology (2011) doi:10.1186/1471-2148-11-171
Pankratz V Shane et al., Associations between SNPs in candidate immune-relevant genes and rubella antibody levels: a multigenic assessment. BMC Immunology (2010) doi:10.1186/1471-2172-11-48