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
Bornstein Sophia et al., IL-10 and integrin signaling pathways are associated with head and neck cancer progression Human and rodent genomics. BMC Genomics (2016) doi:10.1186/s12864-015-2359-6
Sarup Pernille et al., Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs Complex traits and quantitative genetics. BMC Genetics (2016) doi:10.1186/s12863-015-0322-9
Shen Yingjia et al., X. couchianus and X. hellerii genome models provide genomic variation insight among Xiphophorus species Non-human and non rodent vertebrate genomics. BMC Genomics (2016) doi:10.1186/s12864-015-2361-z
Voelter-Mahlknecht Susanne et al., Epigenetic associations in relation to cardiovascular prevention and therapeutics. Clinical Epigenetics (2016) doi:10.1186/s13148-016-0170-0
Iskakova N. Aisha et al., Polymorphisms in genes involved in the absorption, distribution, metabolism, and excretion of drugs in the Kazakhs of Kazakhstan Human population genetics. BMC Genetics (2016) doi:10.1186/s12863-016-0329-x