Learn to use the dbSNP resource, a large and valuable NCBI database that serves both as a repository for genomic variation data (including single nucleotide polymorphisms, microsatellites and small insertion/deletion mutations) and as a computational analysis resource. Learning to mine the dbSNP data will provide the researcher with extensive data and information about variations, evolution, disease and more. Understanding the structure of rs identifiers and ss identifiers will provide important conceptual features of SNP stored records within dbSNP and at other sites that employ dbSNP data. Access points from the dbSNP and the EntrezSNP interface will be explored.
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
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
GeneTests: GeneTests, a current, comprehensive genetic testing resource
Variation & Medical : Resources that include information about sequence variation, phenotypes, or medically-relevant conditions.
NCBI : This category includes resources maintained at the National Center for Biotechnology Information (NCBI).
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Recent BioMed Central research articles citing this resource
Park Lui Hannah et al., Novel polymorphisms in caspase-8 are associated with breast cancer risk in the California Teachers Study Epidemiology, prevention and public health. BMC Cancer (2016) doi:10.1186/s12885-015-2036-9
Mosquera-Rendón Jeanneth et al., Pangenome-wide and molecular evolution analyses of the Pseudomonas aeruginosa species Prokaryote microbial genomics. BMC Genomics (2016) doi:10.1186/s12864-016-2364-4
Bourgeois Stephane et al., A multi-factorial analysis of response to warfarin in a UK prospective cohort. Genome Medicine (2016) doi:10.1186/s13073-015-0255-y
Fernandes C. Gabriela et al., Association of polymorphisms with a family history of cancer and the presence of germline mutations in the BRCA1/BRCA2 genes. Hereditary Cancer in Clinical Practice (2016) doi:10.1186/s13053-015-0042-1
Zhang Wangshu et al., Inference of domain-disease associations from domain-protein, protein-disease and disease-disease relationships. BMC Systems Biology (2016) doi:10.1186/s12918-015-0247-y