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.
rs10264272
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr7:99665212 (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
- C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.005963 (1759/294968, ALFA)T=0.042476 (11243/264690, TOPMED)T=0.010039 (2524/251422, GnomAD_exome) (+ 14 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
-
CYP3A5 : Synonymous VariantZSCAN25 : Intron Variant
- Publications
- 39 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.
Population | Group | Sample Size | Ref Allele | Alt Allele | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
---|---|---|---|---|---|---|---|---|
Total | Global | 311328 | C=0.992516 | T=0.007484 | 0.985745 | 0.000713 | 0.013542 | 32 |
European | Sub | 268326 | C=0.998904 | T=0.001096 | 0.997816 | 0.000007 | 0.002176 | 3 |
African | Sub | 15664 | C=0.88579 | T=0.11421 | 0.784985 | 0.013407 | 0.201609 | 0 |
African Others | Sub | 572 | C=0.858 | T=0.142 | 0.734266 | 0.017483 | 0.248252 | 0 |
African American | Sub | 15092 | C=0.88683 | T=0.11317 | 0.786907 | 0.013252 | 0.199841 | 0 |
Asian | Sub | 3824 | C=1.0000 | T=0.0000 | 1.0 | 0.0 | 0.0 | N/A |
East Asian | Sub | 3112 | C=1.0000 | T=0.0000 | 1.0 | 0.0 | 0.0 | N/A |
Other Asian | Sub | 712 | C=1.000 | T=0.000 | 1.0 | 0.0 | 0.0 | N/A |
Latin American 1 | Sub | 1274 | C=0.9537 | T=0.0463 | 0.908948 | 0.00157 | 0.089482 | 0 |
Latin American 2 | Sub | 1846 | C=0.9908 | T=0.0092 | 0.981582 | 0.0 | 0.018418 | 0 |
South Asian | Sub | 5218 | C=1.0000 | T=0.0000 | 1.0 | 0.0 | 0.0 | N/A |
Other | Sub | 15176 | C=0.98873 | T=0.01127 | 0.977992 | 0.000527 | 0.021481 | 6 |
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").
DownloadStudy | Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|---|
Allele Frequency Aggregator | Total | Global | 294968 | C=0.994037 | T=0.005963 |
Allele Frequency Aggregator | European | Sub | 258238 | C=0.998900 | T=0.001100 |
Allele Frequency Aggregator | Other | Sub | 13742 | C=0.98901 | T=0.01099 |
Allele Frequency Aggregator | African | Sub | 10826 | C=0.88472 | T=0.11528 |
Allele Frequency Aggregator | South Asian | Sub | 5218 | C=1.0000 | T=0.0000 |
Allele Frequency Aggregator | Asian | Sub | 3824 | C=1.0000 | T=0.0000 |
Allele Frequency Aggregator | Latin American 2 | Sub | 1846 | C=0.9908 | T=0.0092 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1274 | C=0.9537 | T=0.0463 |
TopMed | Global | Study-wide | 264690 | C=0.957524 | T=0.042476 |
gnomAD - Exomes | Global | Study-wide | 251422 | C=0.989961 | T=0.010039 |
gnomAD - Exomes | European | Sub | 135378 | C=0.999269 | T=0.000731 |
gnomAD - Exomes | Asian | Sub | 49008 | C=0.99982 | T=0.00018 |
gnomAD - Exomes | American | Sub | 34566 | C=0.99222 | T=0.00778 |
gnomAD - Exomes | African | Sub | 16254 | C=0.87068 | T=0.12932 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 10080 | C=1.00000 | T=0.00000 |
gnomAD - Exomes | Other | Sub | 6136 | C=0.9927 | T=0.0073 |
gnomAD - Genomes | Global | Study-wide | 140186 | C=0.960060 | T=0.039940 |
gnomAD - Genomes | European | Sub | 75924 | C=0.99924 | T=0.00076 |
gnomAD - Genomes | African | Sub | 42006 | C=0.87711 | T=0.12289 |
gnomAD - Genomes | American | Sub | 13652 | C=0.97846 | T=0.02154 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | C=1.0000 | T=0.0000 |
gnomAD - Genomes | East Asian | Sub | 3130 | C=1.0000 | T=0.0000 |
gnomAD - Genomes | Other | Sub | 2152 | C=0.9605 | T=0.0395 |
ExAC | Global | Study-wide | 121268 | C=0.988018 | T=0.011982 |
ExAC | Europe | Sub | 73276 | C=0.99925 | T=0.00075 |
ExAC | Asian | Sub | 25154 | C=0.99984 | T=0.00016 |
ExAC | American | Sub | 11528 | C=0.99202 | T=0.00798 |
ExAC | African | Sub | 10404 | C=0.87572 | T=0.12428 |
ExAC | Other | Sub | 906 | C=0.990 | T=0.010 |
The PAGE Study | Global | Study-wide | 78700 | C=0.93799 | T=0.06201 |
The PAGE Study | AfricanAmerican | Sub | 32516 | C=0.88092 | T=0.11908 |
The PAGE Study | Mexican | Sub | 10808 | C=0.99093 | T=0.00907 |
The PAGE Study | Asian | Sub | 8318 | C=0.9999 | T=0.0001 |
The PAGE Study | PuertoRican | Sub | 7918 | C=0.9442 | T=0.0558 |
The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.9967 | T=0.0033 |
The PAGE Study | Cuban | Sub | 4230 | C=0.9792 | T=0.0208 |
The PAGE Study | Dominican | Sub | 3828 | C=0.9365 | T=0.0635 |
The PAGE Study | CentralAmerican | Sub | 2450 | C=0.9690 | T=0.0310 |
The PAGE Study | SouthAmerican | Sub | 1982 | C=0.9894 | T=0.0106 |
The PAGE Study | NativeAmerican | Sub | 1260 | C=0.9817 | T=0.0183 |
The PAGE Study | SouthAsian | Sub | 856 | C=0.999 | T=0.001 |
GO Exome Sequencing Project | Global | Study-wide | 13006 | C=0.95871 | T=0.04129 |
GO Exome Sequencing Project | European American | Sub | 8600 | C=0.9992 | T=0.0008 |
GO Exome Sequencing Project | African American | Sub | 4406 | C=0.8797 | T=0.1203 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.9535 | T=0.0465 |
1000Genomes_30x | African | Sub | 1786 | C=0.8488 | T=0.1512 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.9961 | T=0.0039 |
1000Genomes_30x | South Asian | Sub | 1202 | C=1.0000 | T=0.0000 |
1000Genomes_30x | East Asian | Sub | 1170 | C=1.0000 | T=0.0000 |
1000Genomes_30x | American | Sub | 980 | C=0.977 | T=0.023 |
1000Genomes | Global | Study-wide | 5008 | C=0.9555 | T=0.0445 |
1000Genomes | African | Sub | 1322 | C=0.8457 | T=0.1543 |
1000Genomes | East Asian | Sub | 1008 | C=1.0000 | T=0.0000 |
1000Genomes | Europe | Sub | 1006 | C=0.9970 | T=0.0030 |
1000Genomes | South Asian | Sub | 978 | C=1.000 | T=0.000 |
1000Genomes | American | Sub | 694 | C=0.977 | T=0.023 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.9990 | T=0.0010 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=1.0000 | T=0.0000 |
MxGDAR/Encodat-PGx | Global | Study-wide | 3292 | C=0.9894 | T=0.0106 |
MxGDAR/Encodat-PGx | MxGDAR | Sub | 3292 | C=0.9894 | T=0.0106 |
HapMap | Global | Study-wide | 1434 | C=0.9031 | T=0.0969 |
HapMap | African | Sub | 692 | C=0.819 | T=0.181 |
HapMap | American | Sub | 314 | C=0.962 | T=0.038 |
HapMap | Asian | Sub | 252 | C=0.996 | T=0.004 |
HapMap | Europe | Sub | 176 | C=0.994 | T=0.006 |
PharmGKB Aggregated | Global | Study-wide | 816 | C=0.934 | T=0.066 |
PharmGKB Aggregated | PA149794671 | Sub | 354 | C=0.977 | T=0.023 |
PharmGKB Aggregated | PA164944472 | Sub | 268 | C=0.854 | T=0.146 |
PharmGKB Aggregated | PA142202220 | Sub | 194 | C=0.964 | T=0.036 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.994 | T=0.006 |
Qatari | Global | Study-wide | 216 | C=0.968 | T=0.032 |
SGDP_PRJ | Global | Study-wide | 32 | C=0.38 | T=0.62 |
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.
Sequence name | Change |
---|---|
GRCh38.p14 chr 7 | NC_000007.14:g.99665212C>T |
GRCh37.p13 chr 7 | NC_000007.13:g.99262835C>T |
CYP3A5 RefSeqGene (LRG_1431) | NG_007938.2:g.19787G>A |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
ZSCAN25 transcript variant 7 |
NM_001350984.2:c.806-3883… NM_001350984.2:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant 8 |
NM_001350985.2:c.806-3883… NM_001350985.2:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant 2 | NM_001350979.2:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant 3 | NM_001350980.2:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant 4 | NM_001350981.2:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant 5 | NM_001350982.2:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant 6 | NM_001350983.2:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant 9 | NM_001350986.2:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant 1 | NM_145115.3:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X8 |
XM_011515909.3:c.806-3883… XM_011515909.3:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant X9 |
XM_047420016.1:c.806-3883… XM_047420016.1:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant X10 |
XM_047420017.1:c.806-3883… XM_047420017.1:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant X13 |
XM_047420018.1:c.806-3883… XM_047420018.1:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant X14 |
XM_047420019.1:c.806-3883… XM_047420019.1:c.806-3883C>T |
N/A | Intron Variant |
ZSCAN25 transcript variant X1 | XM_011515905.3:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X2 | XM_011515907.3:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X11 | XM_011515910.3:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X5 | XM_047420011.1:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X3 | XM_047420012.1:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X4 | XM_047420013.1:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X6 | XM_047420014.1:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X7 | XM_047420015.1:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X15 | XM_047420020.1:c. | N/A | Genic Downstream Transcript Variant |
ZSCAN25 transcript variant X16 | XR_007059988.1:n. | N/A | Intron Variant |
ZSCAN25 transcript variant X17 | XR_007059989.1:n. | N/A | Intron Variant |
ZSCAN25 transcript variant X18 | XR_007059990.1:n. | N/A | Intron Variant |
ZSCAN25 transcript variant X12 | XR_927402.3:n. | N/A | Intron Variant |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
CYP3A5 transcript variant 2 | NM_001190484.3:c. | N/A | Genic Downstream Transcript Variant |
CYP3A5 transcript variant 1 | NM_000777.5:c.624G>A | K [AAG] > K [AAA] | Coding Sequence Variant |
cytochrome P450 3A5 isoform 1 | NP_000768.1:p.Lys208= | K (Lys) > K (Lys) | Synonymous Variant |
CYP3A5 transcript variant 4 | NM_001291829.2:c.285G>A | K [AAG] > K [AAA] | Coding Sequence Variant |
cytochrome P450 3A5 isoform 3 | NP_001278758.1:p.Lys95= | K (Lys) > K (Lys) | Synonymous Variant |
CYP3A5 transcript variant 5 | NM_001291830.2:c.594G>A | K [AAG] > K [AAA] | Coding Sequence Variant |
cytochrome P450 3A5 isoform 4 precursor | NP_001278759.1:p.Lys198= | K (Lys) > K (Lys) | Synonymous Variant |
CYP3A5 transcript variant 3 | NR_033807.3:n.1243G>A | N/A | Non Coding Transcript Variant |
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.
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 | C= | T |
---|---|---|
GRCh38.p14 chr 7 | NC_000007.14:g.99665212= | NC_000007.14:g.99665212C>T |
GRCh37.p13 chr 7 | NC_000007.13:g.99262835= | NC_000007.13:g.99262835C>T |
CYP3A5 RefSeqGene (LRG_1431) | NG_007938.2:g.19787= | NG_007938.2:g.19787G>A |
CYP3A5 transcript variant 1 | NM_000777.5:c.624= | NM_000777.5:c.624G>A |
CYP3A5 transcript variant 1 | NM_000777.4:c.624= | NM_000777.4:c.624G>A |
CYP3A5 transcript variant 1 | NM_000777.3:c.624= | NM_000777.3:c.624G>A |
CYP3A5 transcript variant 3 | NR_033807.3:n.1243= | NR_033807.3:n.1243G>A |
CYP3A5 transcript variant 3 | NR_033807.2:n.1273= | NR_033807.2:n.1273G>A |
CYP3A5 transcript variant 3 | NR_033807.1:n.1245= | NR_033807.1:n.1245G>A |
CYP3A5 transcript variant 4 | NM_001291829.2:c.285= | NM_001291829.2:c.285G>A |
CYP3A5 transcript variant 4 | NM_001291829.1:c.285= | NM_001291829.1:c.285G>A |
CYP3A5 transcript variant 5 | NM_001291830.2:c.594= | NM_001291830.2:c.594G>A |
CYP3A5 transcript variant 5 | NM_001291830.1:c.594= | NM_001291830.1:c.594G>A |
CYP3A5 transcript variant 5 | NR_033809.1:n.986= | NR_033809.1:n.986G>A |
CYP3A5 transcript variant 6 | NR_033810.1:n.1226= | NR_033810.1:n.1226G>A |
CYP3A5 transcript variant 4 | NR_033808.1:n.1226= | NR_033808.1:n.1226G>A |
CYP3A5 transcript variant 7 | NR_033811.1:n.975= | NR_033811.1:n.975G>A |
CYP3A5 transcript variant 8 | NR_033812.1:n.867= | NR_033812.1:n.867G>A |
cytochrome P450 3A5 isoform 1 | NP_000768.1:p.Lys208= | NP_000768.1:p.Lys208= |
cytochrome P450 3A5 isoform 3 | NP_001278758.1:p.Lys95= | NP_001278758.1:p.Lys95= |
cytochrome P450 3A5 isoform 4 precursor | NP_001278759.1:p.Lys198= | NP_001278759.1:p.Lys198= |
ZSCAN25 transcript variant 7 | NM_001350984.2:c.806-3883= | NM_001350984.2:c.806-3883C>T |
ZSCAN25 transcript variant 8 | NM_001350985.2:c.806-3883= | NM_001350985.2:c.806-3883C>T |
ZSCAN25 transcript variant X5 | XM_005250198.1:c.806-11992= | XM_005250198.1:c.806-11992C>T |
ZSCAN25 transcript variant X8 | XM_011515909.3:c.806-3883= | XM_011515909.3:c.806-3883C>T |
ZSCAN25 transcript variant X9 | XM_047420016.1:c.806-3883= | XM_047420016.1:c.806-3883C>T |
ZSCAN25 transcript variant X10 | XM_047420017.1:c.806-3883= | XM_047420017.1:c.806-3883C>T |
ZSCAN25 transcript variant X13 | XM_047420018.1:c.806-3883= | XM_047420018.1:c.806-3883C>T |
ZSCAN25 transcript variant X14 | XM_047420019.1:c.806-3883= | XM_047420019.1:c.806-3883C>T |
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#.
No | Submitter | Submission ID | Date (Build) |
---|---|---|---|
1 | WUGSC_SSAHASNP | ss14134088 | Dec 05, 2003 (119) |
2 | BIOVENTURES | ss32476142 | May 24, 2005 (125) |
3 | EGP_SNPS | ss60197490 | Oct 16, 2006 (127) |
4 | PHARMGKB_PAAR-UCHI | ss69371787 | May 18, 2007 (127) |
5 | ILLUMINA | ss74883461 | Dec 06, 2007 (129) |
6 | CCHMC-CAE-PGCORE | ss79314231 | Dec 15, 2007 (130) |
7 | PHARMGKB_AB_DME | ss84155161 | Dec 15, 2007 (130) |
8 | SNP500CANCER | ss105439784 | Feb 05, 2009 (130) |
9 | KRIBB_YJKIM | ss119619350 | Dec 01, 2009 (131) |
10 | ILLUMINA | ss152703961 | Dec 01, 2009 (131) |
11 | ILLUMINA | ss159119264 | Dec 01, 2009 (131) |
12 | SEATTLESEQ | ss159715234 | Dec 01, 2009 (131) |
13 | ILLUMINA | ss159884673 | Dec 01, 2009 (131) |
14 | PHARMGKB_PAAR-UCHI | ss161109922 | Dec 01, 2009 (131) |
15 | ILLUMINA | ss169949687 | Jul 04, 2010 (132) |
16 | BUSHMAN | ss197976973 | Jul 04, 2010 (132) |
17 | 1000GENOMES | ss223228490 | Jul 14, 2010 (132) |
18 | ILLUMINA | ss244268485 | Jul 04, 2010 (132) |
19 | NHLBI-ESP | ss342240801 | May 09, 2011 (134) |
20 | ILLUMINA | ss479242577 | May 04, 2012 (137) |
21 | ILLUMINA | ss479245267 | May 04, 2012 (137) |
22 | ILLUMINA | ss479604592 | Sep 08, 2015 (146) |
23 | ILLUMINA | ss480387493 | May 04, 2012 (137) |
24 | ILLUMINA | ss484421998 | May 04, 2012 (137) |
25 | ILLUMINA | ss485503765 | May 04, 2012 (137) |
26 | 1000GENOMES | ss490949797 | May 04, 2012 (137) |
27 | CLINSEQ_SNP | ss491910495 | May 04, 2012 (137) |
28 | ILLUMINA | ss533712051 | Sep 08, 2015 (146) |
29 | TISHKOFF | ss560183971 | Apr 25, 2013 (138) |
30 | ILLUMINA | ss779197459 | Sep 08, 2015 (146) |
31 | ILLUMINA | ss781218646 | Sep 08, 2015 (146) |
32 | ILLUMINA | ss782657458 | Sep 08, 2015 (146) |
33 | ILLUMINA | ss831907895 | Sep 08, 2015 (146) |
34 | ILLUMINA | ss832631995 | Jul 13, 2019 (153) |
35 | ILLUMINA | ss834663060 | Sep 08, 2015 (146) |
36 | JMKIDD_LAB | ss974465102 | Aug 21, 2014 (142) |
37 | JMKIDD_LAB | ss1067490097 | Aug 21, 2014 (142) |
38 | JMKIDD_LAB | ss1074831432 | Aug 21, 2014 (142) |
39 | 1000GENOMES | ss1326337913 | Aug 21, 2014 (142) |
40 | EVA_UK10K_ALSPAC | ss1618799133 | Apr 01, 2015 (144) |
41 | EVA_UK10K_TWINSUK | ss1661793166 | Apr 01, 2015 (144) |
42 | EVA_EXAC | ss1688840991 | Apr 01, 2015 (144) |
43 | EVA_MGP | ss1711173172 | Apr 01, 2015 (144) |
44 | ILLUMINA | ss1752702668 | Sep 08, 2015 (146) |
45 | WEILL_CORNELL_DGM | ss1927851259 | Feb 12, 2016 (147) |
46 | ILLUMINA | ss1946215402 | Feb 12, 2016 (147) |
47 | ILLUMINA | ss1959035635 | Feb 12, 2016 (147) |
48 | HUMAN_LONGEVITY | ss2296200866 | Dec 20, 2016 (150) |
49 | ILLUMINA | ss2634638264 | Nov 08, 2017 (151) |
50 | ILLUMINA | ss2634638265 | Nov 08, 2017 (151) |
51 | ILLUMINA | ss2634638266 | Nov 08, 2017 (151) |
52 | ILLUMINA | ss2711117320 | Nov 08, 2017 (151) |
53 | GNOMAD | ss2736598533 | Nov 08, 2017 (151) |
54 | GNOMAD | ss2747871723 | Nov 08, 2017 (151) |
55 | GNOMAD | ss2856765305 | Nov 08, 2017 (151) |
56 | AFFY | ss2985413720 | Nov 08, 2017 (151) |
57 | AFFY | ss2986045859 | Nov 08, 2017 (151) |
58 | ILLUMINA | ss3022760748 | Nov 08, 2017 (151) |
59 | CSIRBIOHTS | ss3029637921 | Nov 08, 2017 (151) |
60 | ILLUMINA | ss3625934032 | Oct 12, 2018 (152) |
61 | ILLUMINA | ss3629873017 | Oct 12, 2018 (152) |
62 | ILLUMINA | ss3632543889 | Oct 12, 2018 (152) |
63 | ILLUMINA | ss3633472116 | Oct 12, 2018 (152) |
64 | ILLUMINA | ss3634197467 | Oct 12, 2018 (152) |
65 | ILLUMINA | ss3635132965 | Oct 12, 2018 (152) |
66 | ILLUMINA | ss3635877051 | Oct 12, 2018 (152) |
67 | ILLUMINA | ss3636867351 | Oct 12, 2018 (152) |
68 | ILLUMINA | ss3637630065 | Oct 12, 2018 (152) |
69 | ILLUMINA | ss3638713083 | Oct 12, 2018 (152) |
70 | ILLUMINA | ss3640840257 | Oct 12, 2018 (152) |
71 | ILLUMINA | ss3643647666 | Oct 12, 2018 (152) |
72 | ILLUMINA | ss3644948505 | Oct 12, 2018 (152) |
73 | ILLUMINA | ss3653294770 | Oct 12, 2018 (152) |
74 | ILLUMINA | ss3654175332 | Oct 12, 2018 (152) |
75 | ILLUMINA | ss3726465309 | Jul 13, 2019 (153) |
76 | ILLUMINA | ss3744293684 | Jul 13, 2019 (153) |
77 | ILLUMINA | ss3745432993 | Jul 13, 2019 (153) |
78 | PAGE_CC | ss3771386370 | Jul 13, 2019 (153) |
79 | ILLUMINA | ss3772925844 | Jul 13, 2019 (153) |
80 | KHV_HUMAN_GENOMES | ss3810096644 | Jul 13, 2019 (153) |
81 | EVA | ss3824296376 | Apr 26, 2020 (154) |
82 | EVA | ss3825724429 | Apr 26, 2020 (154) |
83 | EVA | ss3830722350 | Apr 26, 2020 (154) |
84 | SGDP_PRJ | ss3867981568 | Apr 26, 2020 (154) |
85 | EVA | ss3984448806 | Apr 26, 2021 (155) |
86 | EVA | ss3986390917 | Apr 26, 2021 (155) |
87 | EVA | ss4017349809 | Apr 26, 2021 (155) |
88 | TOPMED | ss4756563862 | Apr 26, 2021 (155) |
89 | EVA | ss5237035234 | Apr 26, 2021 (155) |
90 | 1000G_HIGH_COVERAGE | ss5274031933 | Oct 17, 2022 (156) |
91 | EVA | ss5375496687 | Oct 17, 2022 (156) |
92 | HUGCELL_USP | ss5471003006 | Oct 17, 2022 (156) |
93 | EVA | ss5509064478 | Oct 17, 2022 (156) |
94 | 1000G_HIGH_COVERAGE | ss5562812978 | Oct 17, 2022 (156) |
95 | EVA | ss5624169000 | Oct 17, 2022 (156) |
96 | SANFORD_IMAGENETICS | ss5624670290 | Oct 17, 2022 (156) |
97 | SANFORD_IMAGENETICS | ss5643587250 | Oct 17, 2022 (156) |
98 | EVA | ss5823255860 | Oct 17, 2022 (156) |
99 | EVA | ss5847323005 | Oct 17, 2022 (156) |
100 | EVA | ss5848146815 | Oct 17, 2022 (156) |
101 | EVA | ss5860087443 | Oct 17, 2022 (156) |
102 | EVA | ss5972771684 | Oct 17, 2022 (156) |
103 | EVA | ss5979835141 | Oct 17, 2022 (156) |
104 | 1000Genomes | NC_000007.13 - 99262835 | Oct 12, 2018 (152) |
105 | 1000Genomes_30x | NC_000007.14 - 99665212 | Oct 17, 2022 (156) |
106 | The Avon Longitudinal Study of Parents and Children | NC_000007.13 - 99262835 | Oct 12, 2018 (152) |
107 | ExAC | NC_000007.13 - 99262835 | Oct 12, 2018 (152) |
108 | gnomAD - Genomes | NC_000007.14 - 99665212 | Apr 26, 2021 (155) |
109 | gnomAD - Exomes | NC_000007.13 - 99262835 | Jul 13, 2019 (153) |
110 | GO Exome Sequencing Project | NC_000007.13 - 99262835 | Oct 12, 2018 (152) |
111 | HapMap | NC_000007.14 - 99665212 | Apr 26, 2020 (154) |
112 | Medical Genome Project healthy controls from Spanish population | NC_000007.13 - 99262835 | Apr 26, 2020 (154) |
113 | The PAGE Study | NC_000007.14 - 99665212 | Jul 13, 2019 (153) |
114 | MxGDAR/Encodat-PGx | NC_000007.13 - 99262835 | Apr 26, 2021 (155) |
115 | PharmGKB Aggregated | NC_000007.14 - 99665212 | Apr 26, 2020 (154) |
116 | Qatari | NC_000007.13 - 99262835 | Apr 26, 2020 (154) |
117 | SGDP_PRJ | NC_000007.13 - 99262835 | Apr 26, 2020 (154) |
118 | TopMed | NC_000007.14 - 99665212 | Apr 26, 2021 (155) |
119 | UK 10K study - Twins | NC_000007.13 - 99262835 | Oct 12, 2018 (152) |
120 | ALFA | NC_000007.14 - 99665212 | Apr 26, 2021 (155) |
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) |
---|---|
rs58867275 | May 25, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss197976973, ss479242577, ss485503765, ss491910495, ss3643647666 | NC_000007.12:99100770:C:T | NC_000007.14:99665211:C:T | (self) |
38351822, 21340760, 8914766, 5762830, 754320, 288932, 1807, 9893189, 19998548, 21340760, ss223228490, ss342240801, ss479245267, ss479604592, ss480387493, ss484421998, ss490949797, ss533712051, ss560183971, ss779197459, ss781218646, ss782657458, ss831907895, ss832631995, ss834663060, ss974465102, ss1067490097, ss1074831432, ss1326337913, ss1618799133, ss1661793166, ss1688840991, ss1711173172, ss1752702668, ss1927851259, ss1946215402, ss1959035635, ss2634638264, ss2634638265, ss2634638266, ss2711117320, ss2736598533, ss2747871723, ss2856765305, ss2985413720, ss2986045859, ss3022760748, ss3029637921, ss3625934032, ss3629873017, ss3632543889, ss3633472116, ss3634197467, ss3635132965, ss3635877051, ss3636867351, ss3637630065, ss3638713083, ss3640840257, ss3644948505, ss3653294770, ss3654175332, ss3744293684, ss3745432993, ss3772925844, ss3824296376, ss3825724429, ss3830722350, ss3867981568, ss3984448806, ss3986390917, ss4017349809, ss5375496687, ss5509064478, ss5624169000, ss5624670290, ss5643587250, ss5823255860, ss5847323005, ss5848146815, ss5972771684, ss5979835141 | NC_000007.13:99262834:C:T | NC_000007.14:99665211:C:T | (self) |
50338913, 270638529, 3455286, 607839, 11626, 593941421, 12664220324, ss2296200866, ss3726465309, ss3771386370, ss3810096644, ss4756563862, ss5237035234, ss5274031933, ss5471003006, ss5562812978, ss5860087443 | NC_000007.14:99665211:C:T | NC_000007.14:99665211:C:T | (self) |
ss14134088 | NT_007933.13:24496418:C:T | NC_000007.14:99665211:C:T | (self) |
ss32476142, ss60197490, ss69371787, ss74883461, ss79314231, ss84155161, ss105439784, ss119619350, ss152703961, ss159119264, ss159715234, ss159884673, ss161109922, ss169949687, ss244268485 | NT_007933.15:37295677:C:T | NC_000007.14:99665211:C:T | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
PMID | Title | Author | Year | Journal |
---|---|---|---|---|
18341681 | Graft rejection: pharmacogenetic analysis or drug anamnesis? | Pham VV et al. | 2008 | British journal of clinical pharmacology |
18825162 | Prediction of CYP3A4 enzyme activity using haplotype tag SNPs in African Americans. | Perera MA et al. | 2009 | The pharmacogenomics journal |
20354687 | Explaining variability in ciclosporin exposure in adult kidney transplant recipients. | Press RR et al. | 2010 | European journal of clinical pharmacology |
20459744 | Cyclophosphamide-metabolizing enzyme polymorphisms and survival outcomes after adjuvant chemotherapy for node-positive breast cancer: a retrospective cohort study. | Gor PP et al. | 2010 | Breast cancer research |
20959500 | Induction of CYP3A4 by vinblastine: Role of the nuclear receptor NR1I2. | Smith NF et al. | 2010 | The Annals of pharmacotherapy |
21206424 | Novel polymorphisms associated with tacrolimus trough concentrations: results from a multicenter kidney transplant consortium. | Jacobson PA et al. | 2011 | Transplantation |
21712189 | Analysis of pharmacogenetic traits in two distinct South African populations. | Ikediobi O et al. | 2011 | Human genomics |
21806386 | Pharmacogenetics of calcineurin inhibitors in Brazilian renal transplant patients. | Santoro A et al. | 2011 | Pharmacogenomics |
21950641 | Effect of cytochrome P450 3A5 genotype on atorvastatin pharmacokinetics and its interaction with clarithromycin. | Shin J et al. | 2011 | Pharmacotherapy |
22094953 | Associations of ABCB1 3435C>T and IL-10-1082G>A polymorphisms with long-term sirolimus dose requirements in renal transplant patients. | Sam WJ et al. | 2011 | Transplantation |
22445700 | The impact of drug metabolizing enzyme polymorphisms on outcomes after antenatal corticosteroid use. | Haas DM et al. | 2012 | American journal of obstetrics and gynecology |
22808112 | Liver enzyme abnormalities and associated risk factors in HIV patients on efavirenz-based HAART with or without tuberculosis co-infection in Tanzania. | Mugusi S et al. | 2012 | PloS one |
22871999 | Concordance of DMET plus genotyping results with those of orthogonal genotyping methods. | Fernandez CA et al. | 2012 | Clinical pharmacology and therapeutics |
23073467 | Associations of ABCB1 and IL-10 genetic polymorphisms with sirolimus-induced dyslipidemia in renal transplant recipients. | Sam WJ et al. | 2012 | Transplantation |
23133420 | Pharmacogenomic Diversity among Brazilians: Influence of Ancestry, Self-Reported Color, and Geographical Origin. | Suarez-Kurtz G et al. | 2012 | Frontiers in pharmacology |
23922006 | PharmGKB summary: cyclosporine and tacrolimus pathways. | Barbarino JM et al. | 2013 | Pharmacogenetics and genomics |
24427273 | Global pharmacogenomics: distribution of CYP3A5 polymorphisms and phenotypes in the Brazilian population. | Suarez-Kurtz G et al. | 2014 | PloS one |
24557078 | Genomewide association study of atazanavir pharmacokinetics and hyperbilirubinemia in AIDS Clinical Trials Group protocol A5202. | Johnson DH et al. | 2014 | Pharmacogenetics and genomics |
24944790 | Screening for 392 polymorphisms in 141 pharmacogenes. | Kim JY et al. | 2014 | Biomedical reports |
25266489 | Genetic polymorphisms of VIP variants in the Tajik ethnic group of northwest China. | Zhang J et al. | 2014 | BMC genetics |
25741362 | Use of pharmacogenomics in pediatric renal transplant recipients. | Medeiros M et al. | 2015 | Frontiers in genetics |
26091847 | Genetic polymorphisms of pharmacogenomic VIP variants in the Uygur population from northwestern China. | Wang L et al. | 2015 | BMC genetics |
26485092 | Genomewide Association Study of Tacrolimus Concentrations in African American Kidney Transplant Recipients Identifies Multiple CYP3A5 Alleles. | Oetting WS et al. | 2016 | American journal of transplantation |
26667830 | Genotype-guided tacrolimus dosing in African-American kidney transplant recipients. | Sanghavi K et al. | 2017 | The pharmacogenomics journal |
26779253 | An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3'-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients. | Swart M et al. | 2015 | Frontiers in genetics |
26785747 | Polymorphisms in genes involved in the absorption, distribution, metabolism, and excretion of drugs in the Kazakhs of Kazakhstan. | Iskakova AN et al. | 2016 | BMC genetics |
27233804 | Genetic polymorphisms of pharmacogenomic VIP variants in the Mongol of Northwestern China. | Jin T et al. | 2016 | BMC genetics |
27767381 | The effect of SNPs in CYP450 in chloroquine/primaquine Plasmodium vivax malaria treatment. | Sortica VA et al. | 2016 | Pharmacogenomics |
28673292 | Effect of pharmacogenetics on plasma lumefantrine pharmacokinetics and malaria treatment outcome in pregnant women. | Mutagonda RF et al. | 2017 | Malaria journal |
29193749 | Clinical Implementation of Pharmacogenetic Testing in a Hospital of the Spanish National Health System: Strategy and Experience Over 3 Years. | Borobia AM et al. | 2018 | Clinical and translational science |
29681089 | Genetic variation in biotransformation enzymes, air pollution exposures, and risk of spina bifida. | Padula AM et al. | 2018 | American journal of medical genetics. Part A |
29775201 | Tacrolimus Population Pharmacokinetics and Multiple CYP3A5 Genotypes in Black and White Renal Transplant Recipients. | Campagne O et al. | 2018 | Journal of clinical pharmacology |
30093869 | Biological Predictors of Clozapine Response: A Systematic Review. | Samanaite R et al. | 2018 | Frontiers in psychiatry |
30953600 | Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups. | Mohamed ME et al. | 2019 | American journal of transplantation |
33519226 | Genetic Diversity of Drug-Related Genes in Native Americans of the Brazilian Amazon. | Fernandes MR et al. | 2021 | Pharmacogenomics and personalized medicine |
34621706 | Comprehensive analysis of important pharmacogenes in Koreans using the DMET™ platform. | Kim B et al. | 2021 | Translational and clinical pharmacology |
34958284 | Warfarin Pharmacogenomics for Precision Medicine in Real-Life Clinical Practice in Southern Africa: Harnessing 73 Variants in 29 Pharmacogenes. | Muyambo S et al. | 2022 | Omics |
35089958 | Identification of pharmacogenetic variants from large scale next generation sequencing data in the Saudi population. | Goljan E et al. | 2022 | PloS one |
35158880 | Pharmacogenomics of Vincristine-Induced Peripheral Neuropathy in Children with Cancer: A Systematic Review and Meta-Analysis. | Uittenboogaard A et al. | 2022 | Cancers |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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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.