dbSNP Archive Mult. SNPs(147) Track Settings (2024)

Description

This track contains information about a subset of thesingle nucleotide polymorphismsand small insertions and deletions (indels) — collectively SimpleNucleotide Polymorphisms — fromdbSNPbuild 147, available fromftp.ncbi.nlm.nih.gov/snp.Only SNPs that have been mapped to multiple locations in the referencegenome assembly are included in this subset. When a SNP's flanking sequencesmap to multiple locations in the reference genome, it calls into questionwhether there is true variation at those sites, or whether the sequencesat those sites are merely highly similar but not identical.

The default maximum weight for this track is 3,unlike the other dbSNP build 147 tracks which have a maximum weight of 1.That enables these multiply-mapped SNPs to appear in the display, whileby default they will not appear in the All SNPs(147) track because of itsmaximum weight filter.

The remainder of this page is identical on the following tracks:
  • Common SNPs(147) - SNPs with >= 1% minor allele frequency (MAF), mapping only once to reference assembly.
  • Flagged SNPs(147) - SNPs < 1% minor allele frequency (MAF) (or unknown), mapping only once to reference assembly, flagged in dbSnp as "clinically associated" -- not necessarily a risk allele!
  • Mult. SNPs(147) - SNPs mapping in more than one place on reference assembly.
  • All SNPs(147) - all SNPs from dbSNP mapping to reference assembly.

Interpreting and Configuring the Graphical Display

Variants are shown as single tick marks at most zoom levels. When viewing the track at or near base-level resolution, the displayed width of the SNP corresponds to the width of the variant in the reference sequence. Insertions are indicated by a single tick mark displayed between two nucleotides, single nucleotide polymorphisms are displayed as the width of a single base, and multiple nucleotide variants are represented by a block that spans two or more bases.

On the track controls page, SNPs can be colored and/or filtered from thedisplay according to several attributes:

  • Class: Describes the observed alleles
    • Single - single nucleotide variation: all observed alleles are single nucleotides (can have 2, 3 or 4 alleles)
    • In-del - insertion/deletion
    • Heterozygous - heterozygous (undetermined) variation: allele contains string '(heterozygous)'
    • Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
    • Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
    • No Variation - the submission reports an invariant region in the surveyed sequence
    • Mixed - the cluster contains submissions from multiple classes
    • Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
    • Insertion - the polymorphism is an insertion relative to the reference assembly
    • Deletion - the polymorphism is a deletion relative to the reference assembly
    • Unknown - no classification provided by data contributor
  • Validation: Method used to validatethe variant (each variant may be validated by more than one method)
    • By Frequency - at least one submitted SNP in cluster has frequency data submitted
    • By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
    • By Submitter - at least one submitter SNP in cluster was validated by independent assay
    • By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
    • By HapMap (human only) - submitted by HapMap project
    • By 1000Genomes (human only) - submitted by 1000Genomes project
    • Unknown - no validation has been reported for this variant
  • Function: dbSNP's predicted functional effect of variant on RefSeq transcripts, both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*), not shown in UCSC Genome Browser. A variant may have more than one functional role if it overlaps multiple transcripts. These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the MISO Sequence Ontology Browser.
    • Unknown - no functional classification provided (possibly intergenic)
    • synonymous_variant - A sequence variant where there is no resulting change to the encoded amino acid (dbSNP term: coding-synon)
    • intron_variant - A transcript variant occurring within an intron (dbSNP term: intron)
    • downstream_gene_variant - A sequence variant located 3' of a gene (dbSNP term: near-gene-3)
    • upstream_gene_variant - A sequence variant located 5' of a gene (dbSNP term: near-gene-5)
    • nc_transcript_variant - A transcript variant of a non coding RNA gene (dbSNP term: ncRNA)
    • stop_gained - A sequence variant whereby at least one base of a codon is changed, resulting in a premature stop codon, leading to a shortened transcript (dbSNP term: nonsense)
    • missense_variant - A sequence variant, where the change may be longer than 3 bases, and at least one base of a codon is changed resulting in a codon that encodes for a different amino acid (dbSNP term: missense)
    • stop_lost - A sequence variant where at least one base of the terminator codon (stop) is changed, resulting in an elongated transcript (dbSNP term: stop-loss)
    • frameshift_variant - A sequence variant which causes a disruption of the translational reading frame, because the number of nucleotides inserted or deleted is not a multiple of three (dbSNP term: frameshift)
    • inframe_indel - A coding sequence variant where the change does not alter the frame of the transcript (dbSNP term: cds-indel)
    • 3_prime_UTR_variant - A UTR variant of the 3' UTR (dbSNP term: untranslated-3)
    • 5_prime_UTR_variant - A UTR variant of the 5' UTR (dbSNP term: untranslated-5)
    • splice_acceptor_variant - A splice variant that changes the 2 base region at the 3' end of an intron (dbSNP term: splice-3)
    • splice_donor_variant - A splice variant that changes the 2 base region at the 5' end of an intron (dbSNP term: splice-5)
    In the Coloring Options section of the track controls page, function terms are grouped into several categories, shown here with default colors: Non-coding (ncRNA): (nc_transcript_variant) are always colored blue.
  • Molecule Type: Sample used to find this variant
    • Genomic - variant discovered using a genomic template
    • cDNA - variant discovered using a cDNA template
    • Unknown - sample type not known
  • Unusual Conditions (UCSC): UCSC checks for several anomalies that may indicate a problem with the mapping, and reports them in the Annotations section of the SNP details page if found:
    • AlleleFreqSumNot1 - Allele frequencies do not sum to 1.0 (+-0.01). This SNP's allele frequency data are probably incomplete.
    • DuplicateObserved, MixedObserved - Multiple distinct insertion SNPs have been mapped to this location, with either the same inserted sequence (Duplicate) or different inserted sequence (Mixed).
    • FlankMismatchGenomeEqual, FlankMismatchGenomeLonger, FlankMismatchGenomeShorter - NCBI's alignment of the flanking sequences had at least one mismatch or gap near the mapped SNP position. (UCSC's re-alignment of flanking sequences to the genome may be informative.)
    • MultipleAlignments - This SNP's flanking sequences align to more than one location in the reference assembly.
    • NamedDeletionZeroSpan - A deletion (from the genome) was observed but the annotation spans 0 bases. (UCSC's re-alignment of flanking sequences to the genome may be informative.)
    • NamedInsertionNonzeroSpan - An insertion (into the genome) was observed but the annotation spans more than 0 bases. (UCSC's re-alignment of flanking sequences to the genome may be informative.)
    • NonIntegerChromCount - At least one allele frequency corresponds to a non-integer (+-0.010000) count of chromosomes on which the allele was observed. The reported total sample count for this SNP is probably incorrect.
    • ObservedContainsIupac - At least one observed allele from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
    • ObservedMismatch - UCSC reference allele does not match any observed allele from dbSNP. This is tested only for SNPs whose class is single, in-del, insertion, deletion, mnp or mixed.
    • ObservedTooLong - Observed allele not given (length too long).
    • ObservedWrongFormat - Observed allele(s) from dbSNP have unexpected format for the given class.
    • RefAlleleMismatch - The reference allele from dbSNP does not match the UCSC reference allele, i.e., the bases in the mapped position range.
    • RefAlleleRevComp - The reference allele from dbSNP matches the reverse complement of the UCSC reference allele.
    • SingleClassLongerSpan - All observed alleles are single-base, but the annotation spans more than 1 base. (UCSC's re-alignment of flanking sequences to the genome may be informative.)
    • SingleClassZeroSpan - All observed alleles are single-base, but the annotation spans 0 bases. (UCSC's re-alignment of flanking sequences to the genome may be informative.)
    Another condition, which does not necessarily imply any problem, is noted:
    • SingleClassTriAllelic, SingleClassQuadAllelic - Class is single and three or four different bases have been observed (usually there are only two).
  • Miscellaneous Attributes (dbSNP): several properties extracted from dbSNP's SNP_bitfield table (see dbSNP_BitField_v5.pdf for details)
    • Clinically Associated (human only) - SNP is in OMIM and/or at least one submitter is a Locus-Specific Database. This does not necessarily imply that the variant causes any disease, only that it has been observed in clinical studies.
    • Appears in OMIM/OMIA - SNP is mentioned in Online Mendelian Inheritance in Man for human SNPs, or Online Mendelian Inheritance in Animals for non-human animal SNPs. Some of these SNPs are quite common, others are known to cause disease; see OMIM/OMIA for more information.
    • Has Microattribution/Third-Party Annotation - At least one of the SNP's submitters studied this SNP in a biomedical setting, but is not a Locus-Specific Database or OMIM/OMIA.
    • Submitted by Locus-Specific Database - At least one of the SNP's submitters is associated with a database of variants associated with a particular gene. These variants may or may not be known to be causative.
    • MAF >= 5% in Some Population - Minor Allele Frequency is at least 5% in at least one population assayed.
    • MAF >= 5% in All Populations - Minor Allele Frequency is at least 5% in all populations assayed.
    • Genotype Conflict - Quality check: different genotypes have been submitted for the same individual.
    • Ref SNP Cluster has Non-overlapping Alleles - Quality check: this reference SNP was clustered from submitted SNPs with non-overlapping sets of observed alleles.
    • Some Assembly's Allele Does Not Match Observed - Quality check: at least one assembly mapped by dbSNP has an allele at the mapped position that is not present in this SNP's observed alleles.
Several other properties do not have coloring options, but do have some filtering options:
  • Average heterozygosity: Calculated by dbSNP as described in Computation of Average Heterozygosity and Standard Error for dbSNP RefSNP Clusters.
    • Average heterozygosity should not exceed 0.5 for bi-allelic single-base substitutions.
  • Weight: Alignment quality assigned by dbSNP. Before dbSNP build 147, weight had values 1, 2 or 3, with 1 being the highest quality (mapped to a single genomic location). As of dbSNP build 147, dbSNP now releases only the variants with weight 1.
  • Submitter handles: These are short, single-word identifiers of labs or consortia that submitted SNPs that were clustered into this reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs have been observed by many different submitters, and some by only a single submitter (although that single submitter may have tested a large number of samples).
  • AlleleFrequencies: Some submissions to dbSNP include allele frequencies and the study's sample size (i.e., the number of distinct chromosomes, which is two times the number of individuals assayed, a.k.a. 2N). dbSNP combines all available frequencies and counts from submitted SNPs that are clustered together into a reference SNP.

You can configure this track such that the details page displays the function and coding differences relative to particular gene sets. Choose the gene sets from the list on the SNP configuration page displayed beneath this heading: On details page, show function and coding differences relative to. When one or more gene tracks are selected, the SNP details page lists all genes that the SNP hits (or is close to), with the same keywords used in the function category. The function usually agrees with NCBI's function, except when NCBI's functional annotation is relative to an XM_* predicted RefSeq (not included in the UCSC Genome Browser's RefSeq Genes track) and/or UCSC's functional annotation is relative to a transcript that is not in RefSeq.

Insertions/Deletions

dbSNP uses a class called 'in-del'. We compare the length of thereference allele to the length(s) of observed alleles; if thereference allele is shorter than all other observed alleles, we change'in-del' to 'insertion'. Likewise, if the reference allele is longerthan all other observed alleles, we change 'in-del' to 'deletion'.

UCSC Re-alignment of flanking sequences

dbSNP determines the genomic locations of SNPs by aligning their flankingsequences to the genome.UCSC displays SNPs in the locations determined by dbSNP, but does nothave access to the alignments on which dbSNP based its mappings.Instead, UCSC re-aligns the flanking sequencesto the neighboring genomic sequence for display on SNP details pages.While the recomputed alignments may differ from dbSNP's alignments,they often are informative when UCSC has annotated an unusual condition.

Non-repetitive genomic sequence is shown in upper case like the flankingsequence, and a "|" indicates each match between genomic and flanking bases.Repetitive genomic sequence (annotated by RepeatMasker and/or theTandem Repeats Finder with period >= 12) is shown in lower case, and matchingbases are indicated by a "+".

Data Sources and Methods

The data that comprise this track were extracted from database dump filesand headers of fasta files downloaded from NCBI.The database dump files were downloaded fromftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606_b147_GRCh37p13/database/organism_data/for hg19 and fromftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606_b147_GRCh38p2/database/organism_data/for hg38.The fasta files were downloaded fromftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606_b147_GRCh37p13/rs_fasta/for hg19 and fromftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606_b147_GRCh38p2/rs_fasta/for hg38.

  • Coordinates, orientation, location type and dbSNP reference allele data were obtained from b147_SNPContigLoc_N.bcp.gz and b147_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
  • b147_SNPMapInfo_N.bcp.gz provided the alignment weights.
  • Functional classification was obtained from b147_SNPContigLocusId_N.bcp.gz. The internal database representation uses dbSNP's function terms, but for display in SNP details pages, these are translated into Sequence Ontology terms.
  • Validation status and heterozygosity were obtained from SNP.bcp.gz.
  • SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies. For the human assembly, allele frequencies were also taken from SNPAlleleFreq_TGP.bcp.gz .
  • Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and SNPSubSNPLink.bcp.gz.
  • SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP, such as clinically-associated. See the document dbSNP_BitField_v5.pdf for details.
  • The header lines in the rs_fasta files were used for molecule type, class and observed polymorphism.

Data Access

The raw data can be explored interactively with the Table Browser,Data Integrator, or Variant Annotation Integrator.For automated analysis, the genome annotation can be downloaded from the downloads server for hg38 and hg19 (snp147*.txt.gz) or the public MySQL server.Please refer to our mailing list archivesfor questions and example queries, or our Data Access FAQ for more information.

Orthologous Alleles (human assemblies only)

For the human assembly, we provide a related table that containsorthologous alleles in the chimpanzee, orangutan and rhesus macaquereference genome assemblies.We use our liftOver utility to identify the orthologous alleles.The candidate human SNPs are a filtered list that meet the criteria:

  • class = 'single'
  • mapped position in the human reference genome is one base long
  • aligned to only one location in the human reference genome
  • not aligned to a chrN_random chrom
  • biallelic (not tri- or quad-allelic)
In some cases the orthologous allele is unknown; these are set to 'N'.If a lift was not possible, we set the orthologous allele to '?' and theorthologous start and end position to 0 (zero).

Masked FASTA Files (human assemblies only)

FASTA files that have been modified to useIUPACambiguous nucleotide characters ateach base covered by a single-base substitution are available for download:GRCh37/hg19,GRCh38/hg38.Note that only single-base substitutions (no insertions or deletions) were usedto mask the sequence, and these were filtered to exclude problematic SNPs.

References

Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, Sirotkin K.dbSNP: the NCBI database of genetic variation.Nucleic Acids Res. 2001 Jan 1;29(1):308-11.PMID: 11125122; PMC: PMC29783

dbSNP Archive Mult. SNPs(147) Track Settings (2024)

FAQs

What is dbSNP used for? ›

dbSNP is a database that includes entries submitted by public laboratories and private organizations for a large number of organisms. Each submission includes information about the actual nucleotide variation and the 5' and 3' flanking sequences.

What is the difference between ClinVar and dbSNP? ›

ClinVar is a good place for getting informations about the clinical impact of a variant. dbSNP is a database where everyone can submit variants. So the data there doesn't give you much information about the impact of the variant.

How do I download dbSNP database? ›

The complete contents of dbSNP are available to the public at website: http://www.ncbi.nlm.nih.gov/SNP. The complete contents of dbSNP can also be downloaded in multiple formats via anonymous FTP at ftp://ncbi.nlm.nih.gov/snp/.

How do you reference the dbSNP? ›

REFERENCING dbSNP

We suggest that dbSNP be referenced as follows: Sherry,S.T., Ward,M. and Sirotkin,K. (1999) dbSNP—Database for Single Nucleotide Polymorphisms and Other Classes of Minor Genetic Variation. Genome Res., 9, 677–679.

How many SNPs are in dbSNP? ›

High quality single nucleotide polymorphism (SNP) database with more than 8 Million SNPs from 74 strains of laboratory mice, drawn from several sources.

What happened to dbSNP? ›

On September 1, 2017, dbSNP stopped accepting non-human variant data submissions and two months later, its interactive websites and related NCBI services stopped presenting non-human variant data. Now dbSNP only accepts and presents human variant data.

Do viruses have SNPs? ›

To study the genetic diversity of viruses and to identify virus genotypes, the occurrence of SNPs in viral nucleotide sequences has been widely used (Cornman et al., 2013; Iyer et al., 2015; Loparev et al., 2004; Williams et al., 2010).

What are rare variants in SNPs? ›

Rare variants are defined as single nucleotide polymorphisms (SNPs) with a minor allele frequency (MAF) of less than 0.01.

What is dbSNP function class? ›

What are dbSNP function classes? The dbSNP function classes define the position of a polymorphism with respect to identifiable features of a specific transcript for a gene. Most function classes in gene features are defined by the location of the variation with respect to transcript exon boundaries.

What do SNPs do? ›

Most commonly, SNPs are found in the DNA between genes. They can act as biological markers, helping scientists locate genes that are associated with disease. When SNPs occur within a gene or in a regulatory region near a gene, they may play a more direct role in disease by affecting the gene's function.

How do you identify SNPs? ›

Single nucleotide polymorphism identification typically involves mapping sequences onto a reference genome followed by a variant calling step to identify the SNP positions.

What is a dbSNP ID? ›

The dbSNP ID is a unique identifier assigned to a single nucleotide polymorphism (SNP) when it is submitted to the SNP database. It is also known as an 'rs' ID. This variable is used to make the web search link to the dbSNP database.

What is the purpose of GWAS? ›

A genome-wide association study (abbreviated GWAS) is a research approach used to identify genomic variants that are statistically associated with a risk for a disease or a particular trait.

What is NIH genetic sequence database? ›

The NIH genetic sequence database, an annotated collection of all publicly available DNA sequences. GenBank is part of the International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at NCBI.

What is the purpose of using data from the 1000 Genomes Project in variant analysis? ›

The major advantages of the 1000 Genomes Project data set include the broad representation of human genetic variation (with a much improved coverage of South Asian and African populations); the use of multiple analysis strategies, increasing the quality of filtering and mapping and allowing the capture of more diverse ...

What are genome databases used for? ›

Genomic databases allow for the storing, sharing and comparison of data across research studies, across data types, across individuals and across organisms.

References

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