dbSNP-database for single nucleotide polymorphisms and other classes of minor genetic variation.
By S. Sherry, Minghong Ward, K. Sirotkin. 1999
A key aspect of research in genetics is associating sequence variations with heritable phenotypes. The most common variations are single nucleotide polymorphisms (SNPs), which occur approximately once every 500–1000 bases in a large sample of aligned human sequence. Because SNPs are expected to facilitate large-scale association genetics studies, there has recently been great interest in SNP discovery and detection. In collaboration with the National Human Genome Research Institute (NHGRI), the National Center for Biotechnology Information (NCBI) has established the dbSNP database (http://www.ncbi.nlm. nih.gov/SNP) to serve as a central repository for molecular variation. Designed to serve as a general catalog of molecular variation to supplement GenBank (Benson et al. 1999) database submissions can include a broad range of molecular polymorphisms: single base nucleotide substitutions, short deletion and insertion polymorphisms, microsatellite markers, and polymorphic insertion elements such as retrotransposons. Although the name dbSNP is a slight misnomer given the variations represented, SNP polymorphisms are the largest class of variation in the database, and the name dbSNP, selected at the request of NHGRI, reflects this fact. For the sake of brevity, we elected to use the term SNP as a shorthand for “variation” in the database notation and documentation (http://www.ncbi.nlm.nih.gov/ SNP/get_html.cgi?whichHtml=how_to_ submit). Thus terms used in the documentation like “submitted SNP” or “reference SNP” refer to all classes of variation in the database and should be regarded as meaning “a submitted report of variation” and “a reference report of variation.” Furthermore, it should be noted that in serving its role as the variation complement to GenBank, dbSNP does not restrict submissions to only neutral polymorphisms. Submissions are welcome on all classes of simple molecular variation, including those that cause rare clinical phenotypes. Submissions to dbSNP come from a variety of sources including individual laboratories, collaborative polymorphism discovery efforts, large-scale genome sequencing centers, and private industry. The data collected range from the tightly focused characterization of particular genes to broadly sampled levels of variation from random genomic sequence. The distribution of reported marker density across the genome is thus expected to be mixed, with an expected minimum density of 1/3000 bases in regions of random genomic sequence, and local regions of higher density around well-characterized genes. Each variation submitted to dbSNP must have an identifier provided by the submitter (called a “local” identifier by dbSNP), and each is issued a unique identifier, formatted as an integer prefixed with ss (for submitted SNP), for example, ss334. An ss number is thus permanently associated with the submitter’s identifier, and it can be treated as a formal accession number by the scientific publishing community.
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Citations in the corpus
- High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios (2021, unknown): “3%) represent novel alleles, defined here as not reported in dbSNP build 151 (Sherry et al., 1999).”
- Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones (2004, unknown): “…length variations (indels) with mapping information from the Single PLoS Biology | http://biology.plosjournals.org June 2004 | Volume 2 | Issue 6 | Page 0865 Nucleotide Polymorphism Database (dbSNP; http:// www.ncbi.nlm.nih.gov/SNP/, build 117) (Sherry et al. 1999) were used for the search.”
- FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization (2006, methodology): “Given a set of SNPs, FASTSNP will dispatch the dbSNP agent to query dbSNP (19) for their genomic context sequences, their mRNA reference sequences (RefSeq), and their relative locations in gene sequences (e.g. 5 0 upstream, 5 0 -UTR, non-synonymous, intronic and so on).”
- Bioinformatics Applications Note Databases and Ontologies Deriving the Consequences of Genomic Variants with the Ensembl Api and Snp Effect Predictor (unknown): “Although these answers are available through dbSNP (Sherry et al., 1999), the process of submitting the data to the NCBI to be processed and annotated can often take months and requires the data to be made public.”
- A SNP in a let-7 microRNA complementary site in the KRAS 3′UTR Increases Non-Small Cell Lung Cancer Risk (2008, methodology): “Based on data from the HapMap (24) and dbSNP (25) databases, only one SNP, rs712( ), is reported in an LCS.”
- RefSeq and LocusLink: NCBI gene-centered resources (2001, methodology): “LocusLink The locus-to-sequence association maintained in LocusLink is used to provide reciprocal connections among LocusLink, RefSeq and several content-rich resources at NCBI including the Conserved Domain Database (CDD), GenBank (9), Genes and Disease, HomoloGene, Map Viewer, OMIM, PubMed, dbSNP ”