dbSNP Short Genetic Variations
Welcome to the Reference SNP (rs) Report
All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.
Reference SNP (rs) Report
This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.
rs7688609
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr4:1806167 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- G>A
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.046160 (12218/264690, TOPMED)G=0.010279 (2561/249150, GnomAD_exome)G=0.009116 (1476/161914, ALFA) (+ 20 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- FGFR3 : Synonymous Variant
- Publications
- 4 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
Release Version: 20230706150541
| Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|
| Total | Global | 178266 | G=0.012644 | A=0.987356 |
| European | Sub | 148738 | G=0.000464 | A=0.999536 |
| African | Sub | 14396 | G=0.14025 | A=0.85975 |
| African Others | Sub | 496 | G=0.198 | A=0.802 |
| African American | Sub | 13900 | G=0.13820 | A=0.86180 |
| Asian | Sub | 514 | G=0.000 | A=1.000 |
| East Asian | Sub | 416 | G=0.000 | A=1.000 |
| Other Asian | Sub | 98 | G=0.00 | A=1.00 |
| Latin American 1 | Sub | 896 | G=0.036 | A=0.964 |
| Latin American 2 | Sub | 966 | G=0.009 | A=0.991 |
| South Asian | Sub | 178 | G=0.000 | A=1.000 |
| Other | Sub | 12578 | G=0.00994 | A=0.99006 |
Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").
Download| Study | Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|---|
| TopMed | Global | Study-wide | 264690 | G=0.046160 | A=0.953840 |
| gnomAD - Exomes | Global | Study-wide | 249150 | G=0.010279 | A=0.989721 |
| gnomAD - Exomes | European | Sub | 133730 | G=0.000351 | A=0.999649 |
| gnomAD - Exomes | Asian | Sub | 48918 | G=0.00020 | A=0.99980 |
| gnomAD - Exomes | American | Sub | 34464 | G=0.00604 | A=0.99396 |
| gnomAD - Exomes | African | Sub | 15986 | G=0.14175 | A=0.85825 |
| gnomAD - Exomes | Ashkenazi Jewish | Sub | 9976 | G=0.0000 | A=1.0000 |
| gnomAD - Exomes | Other | Sub | 6076 | G=0.0049 | A=0.9951 |
| Allele Frequency Aggregator | Total | Global | 161914 | G=0.009116 | A=0.990884 |
| Allele Frequency Aggregator | European | Sub | 138652 | G=0.000490 | A=0.999510 |
| Allele Frequency Aggregator | Other | Sub | 11146 | G=0.00790 | A=0.99210 |
| Allele Frequency Aggregator | African | Sub | 9562 | G=0.1338 | A=0.8662 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 966 | G=0.009 | A=0.991 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 896 | G=0.036 | A=0.964 |
| Allele Frequency Aggregator | Asian | Sub | 514 | G=0.000 | A=1.000 |
| Allele Frequency Aggregator | South Asian | Sub | 178 | G=0.000 | A=1.000 |
| gnomAD - Genomes | Global | Study-wide | 140256 | G=0.042708 | A=0.957292 |
| gnomAD - Genomes | European | Sub | 75958 | G=0.00036 | A=0.99964 |
| gnomAD - Genomes | African | Sub | 42018 | G=0.13706 | A=0.86294 |
| gnomAD - Genomes | American | Sub | 13668 | G=0.00988 | A=0.99012 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | G=0.0000 | A=1.0000 |
| gnomAD - Genomes | East Asian | Sub | 3134 | G=0.0000 | A=1.0000 |
| gnomAD - Genomes | Other | Sub | 2154 | G=0.0320 | A=0.9680 |
| ExAC | Global | Study-wide | 119430 | G=0.012694 | A=0.987306 |
| ExAC | Europe | Sub | 71850 | G=0.00042 | A=0.99958 |
| ExAC | Asian | Sub | 25072 | G=0.00004 | A=0.99996 |
| ExAC | American | Sub | 11480 | G=0.00679 | A=0.99321 |
| ExAC | African | Sub | 10150 | G=0.13813 | A=0.86187 |
| ExAC | Other | Sub | 878 | G=0.006 | A=0.994 |
| 14KJPN | JAPANESE | Study-wide | 28258 | G=0.00004 | A=0.99996 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | G=0.00000 | A=1.00000 |
| GO Exome Sequencing Project | Global | Study-wide | 13002 | G=0.04492 | A=0.95508 |
| GO Exome Sequencing Project | European American | Sub | 8598 | G=0.0008 | A=0.9992 |
| GO Exome Sequencing Project | African American | Sub | 4404 | G=0.1310 | A=0.8690 |
| 1000Genomes_30x | Global | Study-wide | 6404 | G=0.0442 | A=0.9558 |
| 1000Genomes_30x | African | Sub | 1786 | G=0.1540 | A=0.8460 |
| 1000Genomes_30x | Europe | Sub | 1266 | G=0.0000 | A=1.0000 |
| 1000Genomes_30x | South Asian | Sub | 1202 | G=0.0000 | A=1.0000 |
| 1000Genomes_30x | East Asian | Sub | 1170 | G=0.0000 | A=1.0000 |
| 1000Genomes_30x | American | Sub | 980 | G=0.008 | A=0.992 |
| 1000Genomes | Global | Study-wide | 5008 | G=0.0439 | A=0.9561 |
| 1000Genomes | African | Sub | 1322 | G=0.1619 | A=0.8381 |
| 1000Genomes | East Asian | Sub | 1008 | G=0.0000 | A=1.0000 |
| 1000Genomes | Europe | Sub | 1006 | G=0.0000 | A=1.0000 |
| 1000Genomes | South Asian | Sub | 978 | G=0.000 | A=1.000 |
| 1000Genomes | American | Sub | 694 | G=0.009 | A=0.991 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.0005 | A=0.9995 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.0000 | A=1.0000 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | G=0.0000 | A=1.0000 |
| Korean Genome Project | KOREAN | Study-wide | 1830 | G=0.0000 | A=1.0000 |
| HapMap | Global | Study-wide | 998 | G=0.132 | A=0.868 |
| HapMap | African | Sub | 692 | G=0.168 | A=0.832 |
| HapMap | American | Sub | 218 | G=0.073 | A=0.927 |
| HapMap | Asian | Sub | 88 | G=0.00 | A=1.00 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 616 | G=0.000 | A=1.000 |
| Northern Sweden | ACPOP | Study-wide | 600 | G=0.000 | A=1.000 |
| SGDP_PRJ | Global | Study-wide | 556 | G=0.023 | A=0.977 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | G=0.013 | A=0.987 |
| FINRISK | Finnish from FINRISK project | Study-wide | 294 | G=0.000 | A=1.000 |
| Qatari | Global | Study-wide | 216 | G=0.019 | A=0.981 |
| Siberian | Global | Study-wide | 56 | G=0.00 | A=1.00 |
| The Danish reference pan genome | Danish | Study-wide | 40 | G=0.00 | A=1.00 |
Help
Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.
Genomic Placements
| Sequence name | Change |
|---|---|
| GRCh38.p14 chr 4 | NC_000004.12:g.1806167G>A |
| GRCh37.p13 chr 4 | NC_000004.11:g.1807894G>A |
| FGFR3 RefSeqGene (LRG_1021) | NG_012632.1:g.17856A>G |
Gene: FGFR3, fibroblast growth factor receptor 3
(plus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| FGFR3 transcript variant 4 | NM_001354809.2:c.1956G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform 4 precursor | NP_001341738.1:p.Thr652= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant 5 | NM_001354810.2:c.1956G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform 5 precursor | NP_001341739.1:p.Thr652= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant 1 | NM_000142.5:c.1953G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform 1 precursor | NP_000133.1:p.Thr651= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant 2 | NM_022965.4:c.1617G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform 2 precursor | NP_075254.1:p.Thr539= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant 3 | NM_001163213.2:c.1959G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform 3 precursor | NP_001156685.1:p.Thr653= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant 6 | NR_148971.2:n.2379G>A | N/A | Non Coding Transcript Variant |
| FGFR3 transcript variant X1 | XM_006713868.2:c.1965G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X1 | XP_006713931.1:p.Thr655= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X2 | XM_047449820.1:c.1965G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X1 | XP_047305776.1:p.Thr655= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X3 | XM_006713870.2:c.1962G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X2 | XP_006713933.1:p.Thr654= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X4 | XM_006713869.2:c.1965G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X3 | XP_006713932.1:p.Thr655= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X5 | XM_047449821.1:c.1962G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X4 | XP_047305777.1:p.Thr654= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X6 | XM_006713871.2:c.1959G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X5 | XP_006713934.1:p.Thr653= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X7 | XM_011513420.2:c.1959G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X6 | XP_011511722.1:p.Thr653= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X8 | XM_011513422.2:c.1956G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X7 | XP_011511724.1:p.Thr652= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X9 | XM_047449822.1:c.1956G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X8 | XP_047305778.1:p.Thr652= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X10 | XM_006713873.2:c.1953G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X9 | XP_006713936.1:p.Thr651= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X11 | XM_047449823.1:c.1953G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X9 | XP_047305779.1:p.Thr651= | T (Thr) > T (Thr) | Synonymous Variant |
| FGFR3 transcript variant X12 | XM_047449824.1:c.1953G>A | T [ACG] > T [ACA] | Coding Sequence Variant |
| fibroblast growth factor receptor 3 isoform X10 | XP_047305780.1:p.Thr651= | T (Thr) > T (Thr) | Synonymous Variant |
Help
Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.
Allele: G= (allele ID:
369068
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000445200.2 | not specified | Benign |
| RCV002230010.4 | not provided | Likely-Benign |
Allele: A (allele ID:
861287
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV001250950.1 | Squamous cell lung carcinoma | Likely-Benign |
| RCV001700695.3 | not specified | Benign |
| RCV002240649.1 | not provided | Benign |
Help
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".
| Placement | G= | A |
|---|---|---|
| GRCh38.p14 chr 4 | NC_000004.12:g.1806167= | NC_000004.12:g.1806167G>A |
| GRCh37.p13 chr 4 | NC_000004.11:g.1807894= | NC_000004.11:g.1807894G>A |
| FGFR3 RefSeqGene (LRG_1021) | NG_012632.1:g.17856A>G | NG_012632.1:g.17856= |
| FGFR3 transcript variant 1 | NM_000142.5:c.1953= | NM_000142.5:c.1953G>A |
| FGFR3 transcript variant 1 | NM_000142.4:c.1953A>G | NM_000142.4:c.1953= |
| FGFR3 transcript variant 2 | NM_022965.4:c.1617= | NM_022965.4:c.1617G>A |
| FGFR3 transcript variant 2 | NM_022965.3:c.1617A>G | NM_022965.3:c.1617= |
| FGFR3 transcript variant 6 | NR_148971.2:n.2379= | NR_148971.2:n.2379G>A |
| FGFR3 transcript variant 6 | NR_148971.1:n.2360A>G | NR_148971.1:n.2360= |
| FGFR3 transcript variant 3 | NM_001163213.2:c.1959= | NM_001163213.2:c.1959G>A |
| FGFR3 transcript variant 3 | NM_001163213.1:c.1959A>G | NM_001163213.1:c.1959= |
| FGFR3 transcript variant 4 | NM_001354809.2:c.1956= | NM_001354809.2:c.1956G>A |
| FGFR3 transcript variant 4 | NM_001354809.1:c.1956A>G | NM_001354809.1:c.1956= |
| FGFR3 transcript variant 5 | NM_001354810.2:c.1956= | NM_001354810.2:c.1956G>A |
| FGFR3 transcript variant 5 | NM_001354810.1:c.1956A>G | NM_001354810.1:c.1956= |
| FGFR3 transcript variant X1 | XM_006713868.2:c.1965= | XM_006713868.2:c.1965G>A |
| FGFR3 transcript variant X1 | XM_006713868.1:c.1965= | XM_006713868.1:c.1965G>A |
| FGFR3 transcript variant X3 | XM_006713870.2:c.1962= | XM_006713870.2:c.1962G>A |
| FGFR3 transcript variant X3 | XM_006713870.1:c.1962= | XM_006713870.1:c.1962G>A |
| FGFR3 transcript variant X4 | XM_006713869.2:c.1965= | XM_006713869.2:c.1965G>A |
| FGFR3 transcript variant X2 | XM_006713869.1:c.1965= | XM_006713869.1:c.1965G>A |
| FGFR3 transcript variant X7 | XM_011513420.2:c.1959= | XM_011513420.2:c.1959G>A |
| FGFR3 transcript variant X5 | XM_011513420.1:c.1959= | XM_011513420.1:c.1959G>A |
| FGFR3 transcript variant X6 | XM_006713871.2:c.1959= | XM_006713871.2:c.1959G>A |
| FGFR3 transcript variant X4 | XM_006713871.1:c.1959= | XM_006713871.1:c.1959G>A |
| FGFR3 transcript variant X8 | XM_011513422.2:c.1956= | XM_011513422.2:c.1956G>A |
| FGFR3 transcript variant X6 | XM_011513422.1:c.1956= | XM_011513422.1:c.1956G>A |
| FGFR3 transcript variant X10 | XM_006713873.2:c.1953= | XM_006713873.2:c.1953G>A |
| FGFR3 transcript variant X7 | XM_006713873.1:c.1953= | XM_006713873.1:c.1953G>A |
| FGFR3 transcript variant X5 | XM_047449821.1:c.1962= | XM_047449821.1:c.1962G>A |
| FGFR3 transcript variant X2 | XM_047449820.1:c.1965= | XM_047449820.1:c.1965G>A |
| FGFR3 transcript variant X11 | XM_047449823.1:c.1953= | XM_047449823.1:c.1953G>A |
| FGFR3 transcript variant X9 | XM_047449822.1:c.1956= | XM_047449822.1:c.1956G>A |
| FGFR3 transcript variant X12 | XM_047449824.1:c.1953= | XM_047449824.1:c.1953G>A |
| fibroblast growth factor receptor 3 isoform 1 precursor | NP_000133.1:p.Thr651= | NP_000133.1:p.Thr651= |
| fibroblast growth factor receptor 3 isoform 2 precursor | NP_075254.1:p.Thr539= | NP_075254.1:p.Thr539= |
| fibroblast growth factor receptor 3 isoform 3 precursor | NP_001156685.1:p.Thr653= | NP_001156685.1:p.Thr653= |
| fibroblast growth factor receptor 3 isoform 4 precursor | NP_001341738.1:p.Thr652= | NP_001341738.1:p.Thr652= |
| fibroblast growth factor receptor 3 isoform 5 precursor | NP_001341739.1:p.Thr652= | NP_001341739.1:p.Thr652= |
| fibroblast growth factor receptor 3 isoform X1 | XP_006713931.1:p.Thr655= | XP_006713931.1:p.Thr655= |
| fibroblast growth factor receptor 3 isoform X2 | XP_006713933.1:p.Thr654= | XP_006713933.1:p.Thr654= |
| fibroblast growth factor receptor 3 isoform X3 | XP_006713932.1:p.Thr655= | XP_006713932.1:p.Thr655= |
| fibroblast growth factor receptor 3 isoform X6 | XP_011511722.1:p.Thr653= | XP_011511722.1:p.Thr653= |
| fibroblast growth factor receptor 3 isoform X5 | XP_006713934.1:p.Thr653= | XP_006713934.1:p.Thr653= |
| fibroblast growth factor receptor 3 isoform X7 | XP_011511724.1:p.Thr652= | XP_011511724.1:p.Thr652= |
| fibroblast growth factor receptor 3 isoform X9 | XP_006713936.1:p.Thr651= | XP_006713936.1:p.Thr651= |
| fibroblast growth factor receptor 3 isoform X4 | XP_047305777.1:p.Thr654= | XP_047305777.1:p.Thr654= |
| fibroblast growth factor receptor 3 isoform X1 | XP_047305776.1:p.Thr655= | XP_047305776.1:p.Thr655= |
| fibroblast growth factor receptor 3 isoform X9 | XP_047305779.1:p.Thr651= | XP_047305779.1:p.Thr651= |
| fibroblast growth factor receptor 3 isoform X8 | XP_047305778.1:p.Thr652= | XP_047305778.1:p.Thr652= |
| fibroblast growth factor receptor 3 isoform X10 | XP_047305780.1:p.Thr651= | XP_047305780.1:p.Thr651= |
Help
Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.
147 SubSNP,
23 Frequency,
5 ClinVar
submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | WI_SSAHASNP | ss11674387 | Jul 11, 2003 (116) |
| 2 | CSHL-HAPMAP | ss17002720 | Feb 27, 2004 (120) |
| 3 | SSAHASNP | ss22102565 | Apr 05, 2004 (121) |
| 4 | EGP_SNPS | ss28528462 | Dec 02, 2004 (126) |
| 5 | ILLUMINA | ss75047808 | Dec 07, 2007 (129) |
| 6 | HGSV | ss77293695 | Dec 07, 2007 (129) |
| 7 | HGSV | ss82127664 | Dec 14, 2007 (130) |
| 8 | CORNELL | ss86242401 | Mar 23, 2008 (129) |
| 9 | BCMHGSC_JDW | ss92440179 | Mar 24, 2008 (129) |
| 10 | HUMANGENOME_JCVI | ss98795372 | Feb 04, 2009 (130) |
| 11 | BGI | ss105799417 | Feb 04, 2009 (130) |
| 12 | 1000GENOMES | ss111659925 | Jan 25, 2009 (130) |
| 13 | 1000GENOMES | ss112847989 | Jan 25, 2009 (130) |
| 14 | ILLUMINA-UK | ss116837896 | Feb 14, 2009 (130) |
| 15 | KRIBB_YJKIM | ss119564249 | Dec 01, 2009 (131) |
| 16 | ENSEMBL | ss133319875 | Dec 01, 2009 (131) |
| 17 | ENSEMBL | ss139395886 | Dec 01, 2009 (131) |
| 18 | GMI | ss156747948 | Dec 01, 2009 (131) |
| 19 | SEATTLESEQ | ss159707047 | Dec 01, 2009 (131) |
| 20 | ILLUMINA | ss160903887 | Dec 01, 2009 (131) |
| 21 | COMPLETE_GENOMICS | ss161889739 | Jul 04, 2010 (132) |
| 22 | COMPLETE_GENOMICS | ss162997938 | Jul 04, 2010 (132) |
| 23 | COMPLETE_GENOMICS | ss166001817 | Jul 04, 2010 (132) |
| 24 | ILLUMINA | ss174495856 | Jul 04, 2010 (132) |
| 25 | BUSHMAN | ss197899441 | Jul 04, 2010 (132) |
| 26 | BCM-HGSC-SUB | ss206362476 | Jul 04, 2010 (132) |
| 27 | 1000GENOMES | ss220694584 | Jul 14, 2010 (132) |
| 28 | 1000GENOMES | ss232225819 | Jul 14, 2010 (132) |
| 29 | 1000GENOMES | ss239554854 | Jul 15, 2010 (132) |
| 30 | BL | ss252875818 | May 09, 2011 (134) |
| 31 | GMI | ss277539877 | May 04, 2012 (137) |
| 32 | GMI | ss284829514 | Apr 25, 2013 (138) |
| 33 | PJP | ss293054185 | May 09, 2011 (134) |
| 34 | NHLBI-ESP | ss342157538 | May 09, 2011 (134) |
| 35 | ILLUMINA | ss481643313 | May 04, 2012 (137) |
| 36 | ILLUMINA | ss481673883 | May 04, 2012 (137) |
| 37 | ILLUMINA | ss482640588 | Sep 08, 2015 (146) |
| 38 | ILLUMINA | ss484072595 | May 04, 2012 (137) |
| 39 | ILLUMINA | ss484759085 | May 04, 2012 (137) |
| 40 | ILLUMINA | ss485616414 | May 04, 2012 (137) |
| 41 | 1000GENOMES | ss490882380 | May 04, 2012 (137) |
| 42 | CLINSEQ_SNP | ss491849913 | May 04, 2012 (137) |
| 43 | ILLUMINA | ss536263132 | Sep 08, 2015 (146) |
| 44 | TISHKOFF | ss557255258 | Apr 25, 2013 (138) |
| 45 | SSMP | ss651009073 | Apr 25, 2013 (138) |
| 46 | ILLUMINA | ss779151621 | Sep 08, 2015 (146) |
| 47 | ILLUMINA | ss782481121 | Sep 08, 2015 (146) |
| 48 | ILLUMINA | ss783253817 | Sep 08, 2015 (146) |
| 49 | ILLUMINA | ss832514627 | Sep 08, 2015 (146) |
| 50 | ILLUMINA | ss834616489 | Sep 08, 2015 (146) |
| 51 | JMKIDD_LAB | ss974451515 | Aug 21, 2014 (142) |
| 52 | JMKIDD_LAB | ss1067458953 | Aug 21, 2014 (142) |
| 53 | JMKIDD_LAB | ss1071216035 | Aug 21, 2014 (142) |
| 54 | 1000GENOMES | ss1308094596 | Aug 21, 2014 (142) |
| 55 | DDI | ss1429740518 | Apr 01, 2015 (144) |
| 56 | EVA_GENOME_DK | ss1580381011 | Apr 01, 2015 (144) |
| 57 | EVA_FINRISK | ss1584032836 | Apr 01, 2015 (144) |
| 58 | EVA_UK10K_ALSPAC | ss1609239089 | Apr 01, 2015 (144) |
| 59 | EVA_UK10K_TWINSUK | ss1652233122 | Apr 01, 2015 (144) |
| 60 | EVA_EXAC | ss1687389769 | Apr 01, 2015 (144) |
| 61 | EVA_MGP | ss1711049102 | Apr 01, 2015 (144) |
| 62 | EVA_SVP | ss1712645724 | Apr 01, 2015 (144) |
| 63 | ILLUMINA | ss1752511438 | Sep 08, 2015 (146) |
| 64 | HAMMER_LAB | ss1800804445 | Sep 08, 2015 (146) |
| 65 | WEILL_CORNELL_DGM | ss1922906296 | Feb 12, 2016 (147) |
| 66 | GENOMED | ss1966658484 | Feb 12, 2016 (147) |
| 67 | JJLAB | ss2022026596 | Sep 14, 2016 (149) |
| 68 | CLINVAR | ss2137499257 | Apr 13, 2017 (150) |
| 69 | CLINVAR | ss2137505638 | Apr 18, 2017 (150) |
| 70 | USC_VALOUEV | ss2150133141 | Dec 20, 2016 (150) |
| 71 | HUMAN_LONGEVITY | ss2259839020 | Dec 20, 2016 (150) |
| 72 | SYSTEMSBIOZJU | ss2625514331 | Nov 08, 2017 (151) |
| 73 | ILLUMINA | ss2634071182 | Nov 08, 2017 (151) |
| 74 | ILLUMINA | ss2634071183 | Nov 08, 2017 (151) |
| 75 | GRF | ss2705567572 | Nov 08, 2017 (151) |
| 76 | GNOMAD | ss2734346908 | Nov 08, 2017 (151) |
| 77 | GNOMAD | ss2747187156 | Nov 08, 2017 (151) |
| 78 | GNOMAD | ss2804705169 | Nov 08, 2017 (151) |
| 79 | AFFY | ss2985283112 | Nov 08, 2017 (151) |
| 80 | SWEGEN | ss2993995310 | Nov 08, 2017 (151) |
| 81 | BIOINF_KMB_FNS_UNIBA | ss3024783119 | Nov 08, 2017 (151) |
| 82 | CSHL | ss3345499471 | Nov 08, 2017 (151) |
| 83 | ILLUMINA | ss3628884078 | Oct 12, 2018 (152) |
| 84 | ILLUMINA | ss3632010764 | Oct 12, 2018 (152) |
| 85 | ILLUMINA | ss3634041758 | Oct 12, 2018 (152) |
| 86 | ILLUMINA | ss3634937273 | Oct 12, 2018 (152) |
| 87 | ILLUMINA | ss3635724972 | Oct 12, 2018 (152) |
| 88 | ILLUMINA | ss3636636045 | Oct 12, 2018 (152) |
| 89 | ILLUMINA | ss3637477438 | Oct 12, 2018 (152) |
| 90 | ILLUMINA | ss3638467628 | Oct 12, 2018 (152) |
| 91 | ILLUMINA | ss3640644569 | Oct 12, 2018 (152) |
| 92 | ILLUMINA | ss3643420521 | Oct 12, 2018 (152) |
| 93 | OMUKHERJEE_ADBS | ss3646300227 | Oct 12, 2018 (152) |
| 94 | URBANLAB | ss3647632934 | Oct 12, 2018 (152) |
| 95 | ILLUMINA | ss3654053498 | Oct 12, 2018 (152) |
| 96 | EVA_DECODE | ss3711240588 | Jul 13, 2019 (153) |
| 97 | ACPOP | ss3730779572 | Jul 13, 2019 (153) |
| 98 | ILLUMINA | ss3745237517 | Jul 13, 2019 (153) |
| 99 | EVA | ss3761287303 | Jul 13, 2019 (153) |
| 100 | ILLUMINA | ss3772732323 | Jul 13, 2019 (153) |
| 101 | PACBIO | ss3784595121 | Jul 13, 2019 (153) |
| 102 | PACBIO | ss3790068752 | Jul 13, 2019 (153) |
| 103 | PACBIO | ss3794943821 | Jul 13, 2019 (153) |
| 104 | KHV_HUMAN_GENOMES | ss3804426911 | Jul 13, 2019 (153) |
| 105 | EVA | ss3823994126 | Apr 25, 2020 (154) |
| 106 | EVA | ss3825651632 | Apr 25, 2020 (154) |
| 107 | EVA | ss3828326994 | Apr 25, 2020 (154) |
| 108 | EVA | ss3837594404 | Apr 25, 2020 (154) |
| 109 | EVA | ss3843027763 | Apr 25, 2020 (154) |
| 110 | SGDP_PRJ | ss3858028122 | Apr 25, 2020 (154) |
| 111 | KRGDB | ss3904156759 | Apr 25, 2020 (154) |
| 112 | KOGIC | ss3953358392 | Apr 25, 2020 (154) |
| 113 | FSA-LAB | ss3984275233 | Apr 26, 2021 (155) |
| 114 | FSA-LAB | ss3984275234 | Apr 26, 2021 (155) |
| 115 | EVA | ss3986026470 | Apr 26, 2021 (155) |
| 116 | EVA | ss3986270280 | Apr 26, 2021 (155) |
| 117 | EVA | ss4017128962 | Apr 26, 2021 (155) |
| 118 | TOPMED | ss4600228153 | Apr 26, 2021 (155) |
| 119 | TOMMO_GENOMICS | ss5163826531 | Apr 26, 2021 (155) |
| 120 | CPQ_GEN_INCA | ss5236854783 | Apr 26, 2021 (155) |
| 121 | CPQ_GEN_INCA | ss5236859934 | Apr 26, 2021 (155) |
| 122 | EVA | ss5237003978 | Apr 26, 2021 (155) |
| 123 | EVA | ss5237180687 | Apr 26, 2021 (155) |
| 124 | EVA | ss5237641318 | Oct 13, 2022 (156) |
| 125 | 1000G_HIGH_COVERAGE | ss5257749365 | Oct 13, 2022 (156) |
| 126 | TRAN_CS_UWATERLOO | ss5314409556 | Oct 13, 2022 (156) |
| 127 | EVA | ss5314928779 | Oct 13, 2022 (156) |
| 128 | EVA | ss5346382613 | Oct 13, 2022 (156) |
| 129 | CSS-BFX | ss5442108271 | Oct 13, 2022 (156) |
| 130 | HUGCELL_USP | ss5456701776 | Oct 13, 2022 (156) |
| 131 | 1000G_HIGH_COVERAGE | ss5538049944 | Oct 13, 2022 (156) |
| 132 | EVA | ss5623891270 | Oct 13, 2022 (156) |
| 133 | EVA | ss5623928479 | Oct 13, 2022 (156) |
| 134 | EVA | ss5624136432 | Oct 13, 2022 (156) |
| 135 | SANFORD_IMAGENETICS | ss5634176751 | Oct 13, 2022 (156) |
| 136 | TOMMO_GENOMICS | ss5697367173 | Oct 13, 2022 (156) |
| 137 | EVA | ss5800052428 | Oct 13, 2022 (156) |
| 138 | EVA | ss5800112978 | Oct 13, 2022 (156) |
| 139 | YY_MCH | ss5804679616 | Oct 13, 2022 (156) |
| 140 | EVA | ss5843431295 | Oct 13, 2022 (156) |
| 141 | EVA | ss5848602434 | Oct 13, 2022 (156) |
| 142 | EVA | ss5854047204 | Oct 13, 2022 (156) |
| 143 | EVA | ss5861823416 | Oct 13, 2022 (156) |
| 144 | EVA | ss5936523858 | Oct 13, 2022 (156) |
| 145 | EVA | ss5962551723 | Oct 13, 2022 (156) |
| 146 | EVA | ss5980200635 | Oct 13, 2022 (156) |
| 147 | EVA | ss5981220367 | Oct 13, 2022 (156) |
| 148 | 1000Genomes | NC_000004.11 - 1807894 | Oct 12, 2018 (152) |
| 149 | 1000Genomes_30x | NC_000004.12 - 1806167 | Oct 13, 2022 (156) |
| 150 | The Avon Longitudinal Study of Parents and Children | NC_000004.11 - 1807894 | Oct 12, 2018 (152) |
| 151 | ExAC | NC_000004.11 - 1807894 | Oct 12, 2018 (152) |
| 152 | FINRISK | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 153 | The Danish reference pan genome | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 154 | gnomAD - Genomes | NC_000004.12 - 1806167 | Apr 26, 2021 (155) |
| 155 | gnomAD - Exomes | NC_000004.11 - 1807894 | Jul 13, 2019 (153) |
| 156 | GO Exome Sequencing Project | NC_000004.11 - 1807894 | Oct 12, 2018 (152) |
| 157 | HapMap | NC_000004.12 - 1806167 | Apr 25, 2020 (154) |
| 158 | KOREAN population from KRGDB | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 159 | Korean Genome Project | NC_000004.12 - 1806167 | Apr 25, 2020 (154) |
| 160 | Medical Genome Project healthy controls from Spanish population | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 161 | Northern Sweden | NC_000004.11 - 1807894 | Jul 13, 2019 (153) |
| 162 | Qatari | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 163 | SGDP_PRJ | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 164 | Siberian | NC_000004.11 - 1807894 | Apr 25, 2020 (154) |
| 165 | 8.3KJPN | NC_000004.11 - 1807894 | Apr 26, 2021 (155) |
| 166 | 14KJPN | NC_000004.12 - 1806167 | Oct 13, 2022 (156) |
| 167 | TopMed | NC_000004.12 - 1806167 | Apr 26, 2021 (155) |
| 168 | UK 10K study - Twins | NC_000004.11 - 1807894 | Oct 12, 2018 (152) |
| 169 | A Vietnamese Genetic Variation Database | NC_000004.11 - 1807894 | Jul 13, 2019 (153) |
| 170 | ALFA | NC_000004.12 - 1806167 | Apr 26, 2021 (155) |
| 171 | ClinVar | RCV000445200.2 | Oct 13, 2022 (156) |
| 172 | ClinVar | RCV001250950.1 | Apr 26, 2021 (155) |
| 173 | ClinVar | RCV001700695.3 | Oct 13, 2022 (156) |
| 174 | ClinVar | RCV002230010.4 | Oct 13, 2022 (156) |
| 175 | ClinVar | RCV002240649.1 | Oct 13, 2022 (156) |
Help
History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).
| Associated ID | History Updated (Build) |
|---|---|
| rs17878368 | Mar 10, 2006 (126) |
| rs57236619 | May 23, 2008 (130) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss77293695, ss82127664 | NC_000004.9:1775124:G:A | NC_000004.12:1806166:G:A | (self) |
| ss92440179, ss111659925, ss112847989, ss116837896, ss161889739, ss162997938, ss166001817, ss197899441, ss206362476, ss252875818, ss277539877, ss284829514, ss293054185, ss481643313, ss484759085, ss491849913, ss1712645724, ss3643420521 | NC_000004.10:1777691:G:A | NC_000004.12:1806166:G:A | (self) |
| 19432717, 10831359, 7345916, 29297, 6545950, 3446720, 452379, 11334153, 164862, 4064437, 4948226, 10045102, 2649495, 21795838, 10831359, 2368012, ss220694584, ss232225819, ss239554854, ss342157538, ss481673883, ss482640588, ss484072595, ss485616414, ss490882380, ss536263132, ss557255258, ss651009073, ss779151621, ss782481121, ss783253817, ss832514627, ss834616489, ss974451515, ss1067458953, ss1071216035, ss1308094596, ss1429740518, ss1580381011, ss1584032836, ss1609239089, ss1652233122, ss1687389769, ss1711049102, ss1752511438, ss1800804445, ss1922906296, ss1966658484, ss2022026596, ss2150133141, ss2625514331, ss2634071182, ss2634071183, ss2705567572, ss2734346908, ss2747187156, ss2804705169, ss2985283112, ss2993995310, ss3345499471, ss3628884078, ss3632010764, ss3634041758, ss3634937273, ss3635724972, ss3636636045, ss3637477438, ss3638467628, ss3640644569, ss3646300227, ss3654053498, ss3730779572, ss3745237517, ss3761287303, ss3772732323, ss3784595121, ss3790068752, ss3794943821, ss3823994126, ss3825651632, ss3828326994, ss3837594404, ss3858028122, ss3904156759, ss3984275233, ss3984275234, ss3986026470, ss3986270280, ss4017128962, ss5163826531, ss5236854783, ss5236859934, ss5314928779, ss5346382613, ss5442108271, ss5623891270, ss5623928479, ss5624136432, ss5634176751, ss5800052428, ss5800112978, ss5843431295, ss5848602434, ss5936523858, ss5962551723, ss5980200635, ss5981220367 | NC_000004.11:1807893:G:A | NC_000004.12:1806166:G:A | (self) |
| RCV001250950.1, RCV001700695.3, RCV002240649.1, 25575879, 137958509, 2543343, 9736393, 31204277, 437605709, 7620238408, ss2137499257, ss2137505638, ss2259839020, ss3024783119, ss3647632934, ss3711240588, ss3804426911, ss3843027763, ss3953358392, ss4600228153, ss5237003978, ss5237180687, ss5237641318, ss5257749365, ss5314409556, ss5456701776, ss5538049944, ss5697367173, ss5804679616, ss5854047204, ss5861823416 | NC_000004.12:1806166:G:A | NC_000004.12:1806166:G:A | (self) |
| ss28528462, ss75047808, ss86242401, ss98795372, ss105799417, ss119564249, ss133319875, ss139395886, ss156747948, ss159707047, ss160903887, ss174495856 | NT_006051.18:329247:G:A | NC_000004.12:1806166:G:A | (self) |
| ss11674387 | NT_037623.3:310795:G:A | NC_000004.12:1806166:G:A | (self) |
| ss17002720, ss22102565 | NT_037623.4:311148:G:A | NC_000004.12:1806166:G:A | (self) |
Help
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
4
citations for rs7688609
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 19855393 | Activating mutations in FGFR3 and HRAS reveal a shared genetic origin for congenital disorders and testicular tumors. | Goriely A et al. | 2009 | Nature genetics |
| 21264207 | Detection of somatic mutations by high-resolution DNA melting (HRM) analysis in multiple cancers. | Gonzalez-Bosquet J et al. | 2011 | PloS one |
| 30305059 | Combining genomic analyses with tumour-derived slice cultures for the characterization of an EGFR-activating kinase mutation in a case of glioblastoma. | Loriguet L et al. | 2018 | BMC cancer |
| 32368160 | Adamantinomatous Craniopharyngioma in an Adult: A Case Report with NGS Analysis. | Jastania RA et al. | 2020 | International medical case reports journal |
Help
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genome context:
Select flank length:
Genomic regions, transcripts, and products
Top▲
Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.