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.
rs56161402
Current Build 157
Released September 3, 2024
- Organism
- Homo sapiens
- Position
-
chr6:18130762 (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=0.0007376 (1033/1400564, GnomAD_exomes)T=0.008024 (2124/264690, TOPMED)T=0.002634 (407/154542, ALFA) (+ 11 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- TPMT : Missense Variant
- Publications
- 8 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 | 154542 | C=0.997366 | T=0.002634 | 0.994772 | 3.9e-05 | 0.00519 | 7 |
| European | Sub | 125940 | C=0.999277 | T=0.000723 | 0.998555 | 0.0 | 0.001445 | 0 |
| African | Sub | 11760 | C=0.97526 | T=0.02474 | 0.95102 | 0.00051 | 0.048469 | 0 |
| African Others | Sub | 410 | C=0.968 | T=0.032 | 0.936585 | 0.0 | 0.063415 | 0 |
| African American | Sub | 11350 | C=0.97551 | T=0.02449 | 0.951542 | 0.000529 | 0.04793 | 0 |
| Asian | Sub | 240 | C=1.000 | T=0.000 | 1.0 | 0.0 | 0.0 | N/A |
| East Asian | Sub | 154 | C=1.000 | T=0.000 | 1.0 | 0.0 | 0.0 | N/A |
| Other Asian | Sub | 86 | C=1.00 | T=0.00 | 1.0 | 0.0 | 0.0 | N/A |
| Latin American 1 | Sub | 588 | C=0.997 | T=0.003 | 0.993197 | 0.0 | 0.006803 | 0 |
| Latin American 2 | Sub | 1192 | C=0.9975 | T=0.0025 | 0.994966 | 0.0 | 0.005034 | 0 |
| South Asian | Sub | 126 | C=1.000 | T=0.000 | 1.0 | 0.0 | 0.0 | N/A |
| Other | Sub | 14696 | C=0.99864 | T=0.00136 | 0.997278 | 0.0 | 0.002722 | 0 |
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 |
|---|---|---|---|---|---|
| gnomAD v4 - Exomes | Global | Study-wide | 1400564 | C=0.9992624 | T=0.0007376 |
| gnomAD v4 - Exomes | European | Sub | 1164824 | C=0.9998369 | T=0.0001631 |
| gnomAD v4 - Exomes | South Asian | Sub | 86228 | C=0.99994 | T=0.00006 |
| gnomAD v4 - Exomes | American | Sub | 44716 | C=0.99875 | T=0.00125 |
| gnomAD v4 - Exomes | East Asian | Sub | 39640 | C=1.00000 | T=0.00000 |
| gnomAD v4 - Exomes | African | Sub | 33446 | C=0.97671 | T=0.02329 |
| gnomAD v4 - Exomes | Ashkenazi Jewish | Sub | 26118 | C=1.00000 | T=0.00000 |
| gnomAD v4 - Exomes | Middle Eastern | sub | 5592 | C=0.9995 | T=0.0005 |
| TopMed | Global | Study-wide | 264690 | C=0.991976 | T=0.008024 |
| Allele Frequency Aggregator | Total | Global | 154542 | C=0.997366 | T=0.002634 |
| Allele Frequency Aggregator | European | Sub | 125940 | C=0.999277 | T=0.000723 |
| Allele Frequency Aggregator | Other | Sub | 14696 | C=0.99864 | T=0.00136 |
| Allele Frequency Aggregator | African | Sub | 11760 | C=0.97526 | T=0.02474 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 1192 | C=0.9975 | T=0.0025 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 588 | C=0.997 | T=0.003 |
| Allele Frequency Aggregator | Asian | Sub | 240 | C=1.000 | T=0.000 |
| Allele Frequency Aggregator | South Asian | Sub | 126 | C=1.000 | T=0.000 |
| gnomAD v4 - Genomes | Global | Study-wide | 149226 | C=0.993104 | T=0.006896 |
| gnomAD v4 - Genomes | European | Sub | 78628 | C=0.99982 | T=0.00018 |
| gnomAD v4 - Genomes | African | Sub | 41540 | C=0.97670 | T=0.02330 |
| gnomAD v4 - Genomes | American | Sub | 15288 | C=0.99693 | T=0.00307 |
| gnomAD v4 - Genomes | East Asian | Sub | 5188 | C=1.0000 | T=0.0000 |
| gnomAD v4 - Genomes | South Asian | Sub | 4820 | C=1.0000 | T=0.0000 |
| gnomAD v4 - Genomes | Ashkenazi Jewish | Sub | 3468 | C=1.0000 | T=0.0000 |
| gnomAD v4 - Genomes | Middle Eastern | sub | 294 | C=1.000 | T=0.000 |
| ExAC | Global | Study-wide | 121096 | C=0.997960 | T=0.002040 |
| ExAC | Europe | Sub | 73252 | C=0.99992 | T=0.00008 |
| ExAC | Asian | Sub | 25150 | C=0.99996 | T=0.00004 |
| ExAC | American | Sub | 11562 | C=0.99957 | T=0.00043 |
| ExAC | African | Sub | 10230 | C=0.97713 | T=0.02287 |
| ExAC | Other | Sub | 902 | C=0.999 | T=0.001 |
| The PAGE Study | Global | Study-wide | 78700 | C=0.98938 | T=0.01062 |
| The PAGE Study | AfricanAmerican | Sub | 32516 | C=0.97798 | T=0.02202 |
| The PAGE Study | Mexican | Sub | 10810 | C=0.99778 | T=0.00222 |
| The PAGE Study | Asian | Sub | 8316 | C=0.9999 | T=0.0001 |
| The PAGE Study | PuertoRican | Sub | 7918 | C=0.9944 | T=0.0056 |
| The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.9993 | T=0.0007 |
| The PAGE Study | Cuban | Sub | 4230 | C=0.9969 | T=0.0031 |
| The PAGE Study | Dominican | Sub | 3828 | C=0.9932 | T=0.0068 |
| The PAGE Study | CentralAmerican | Sub | 2450 | C=0.9984 | T=0.0016 |
| The PAGE Study | SouthAmerican | Sub | 1982 | C=0.9990 | T=0.0010 |
| The PAGE Study | NativeAmerican | Sub | 1260 | C=0.9976 | T=0.0024 |
| The PAGE Study | SouthAsian | Sub | 856 | C=1.000 | T=0.000 |
| 1000Genomes_30X | Global | Study-wide | 6404 | C=0.9930 | T=0.0070 |
| 1000Genomes_30X | African | Sub | 1786 | C=0.9765 | T=0.0235 |
| 1000Genomes_30X | Europe | Sub | 1266 | C=1.0000 | T=0.0000 |
| 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=0.997 | T=0.003 |
| 1000Genomes | Global | Study-wide | 5008 | C=0.9944 | T=0.0056 |
| 1000Genomes | African | Sub | 1322 | C=0.9803 | T=0.0197 |
| 1000Genomes | East Asian | Sub | 1008 | C=1.0000 | T=0.0000 |
| 1000Genomes | Europe | Sub | 1006 | C=1.0000 | T=0.0000 |
| 1000Genomes | South Asian | Sub | 978 | C=1.000 | T=0.000 |
| 1000Genomes | American | Sub | 694 | C=0.997 | T=0.003 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.9997 | T=0.0003 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=1.0000 | T=0.0000 |
| MxGDAR/Encodat-PGx | Global | Study-wide | 3240 | C=0.9917 | T=0.0083 |
| MxGDAR/Encodat-PGx | MxGDAR | Sub | 3240 | C=0.9917 | T=0.0083 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.996 | T=0.004 |
| SGDP_PRJ | Global | Study-wide | 4 | C=0.5 | T=0.5 |
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 6 | NC_000006.12:g.18130762C>T |
| GRCh37.p13 chr 6 | NC_000006.11:g.18130993C>T |
| TPMT RefSeqGene (LRG_874) | NG_012137.3:g.29382G>A |
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| TPMT transcript variant 2 | NM_001346817.1:c.644G>A | R [CGT] > H [CAT] | Coding Sequence Variant |
| thiopurine S-methyltransferase isoform 1 | NP_001333746.1:p.Arg215His | R (Arg) > H (His) | Missense Variant |
| TPMT transcript variant 3 | NM_001346818.1:c.599G>A | R [CGT] > H [CAT] | Coding Sequence Variant |
| thiopurine S-methyltransferase isoform 2 | NP_001333747.1:p.Arg200His | R (Arg) > H (His) | Missense Variant |
| TPMT transcript variant 1 | NM_000367.5:c.644G>A | R [CGT] > H [CAT] | Coding Sequence Variant |
| thiopurine S-methyltransferase isoform 1 | NP_000358.1:p.Arg215His | R (Arg) > H (His) | Missense Variant |
| TPMT transcript variant X1 | XM_047419289.1:c.644G>A | R [CGT] > H [CAT] | Coding Sequence Variant |
| thiopurine S-methyltransferase isoform X1 | XP_047275245.1:p.Arg215His | R (Arg) > H (His) | Missense Variant |
| TPMT transcript variant X2 | XM_047419290.1:c.599G>A | R [CGT] > H [CAT] | Coding Sequence Variant |
| thiopurine S-methyltransferase isoform X2 | XP_047275246.1:p.Arg200His | R (Arg) > H (His) | Missense 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.
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000013563.24 | Thiopurine S-methyltransferase deficiency | Drug-Response |
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 6 | NC_000006.12:g.18130762= | NC_000006.12:g.18130762C>T |
| GRCh37.p13 chr 6 | NC_000006.11:g.18130993= | NC_000006.11:g.18130993C>T |
| TPMT RefSeqGene (LRG_874) | NG_012137.3:g.29382= | NG_012137.3:g.29382G>A |
| TPMT transcript variant 1 | NM_000367.5:c.644= | NM_000367.5:c.644G>A |
| TPMT transcript variant 1 | NM_000367.4:c.644= | NM_000367.4:c.644G>A |
| TPMT transcript | NM_000367.3:c.644= | NM_000367.3:c.644G>A |
| TPMT transcript | NM_000367.2:c.644= | NM_000367.2:c.644G>A |
| TPMT transcript variant 2 | NM_001346817.1:c.644= | NM_001346817.1:c.644G>A |
| TPMT transcript variant 3 | NM_001346818.1:c.599= | NM_001346818.1:c.599G>A |
| TPMT transcript variant X1 | XM_047419289.1:c.644= | XM_047419289.1:c.644G>A |
| TPMT transcript variant X2 | XM_047419290.1:c.599= | XM_047419290.1:c.599G>A |
| thiopurine S-methyltransferase isoform 1 | NP_000358.1:p.Arg215= | NP_000358.1:p.Arg215His |
| thiopurine S-methyltransferase isoform 1 | NP_001333746.1:p.Arg215= | NP_001333746.1:p.Arg215His |
| thiopurine S-methyltransferase isoform 2 | NP_001333747.1:p.Arg200= | NP_001333747.1:p.Arg200His |
| thiopurine S-methyltransferase isoform X1 | XP_047275245.1:p.Arg215= | XP_047275245.1:p.Arg215His |
| thiopurine S-methyltransferase isoform X2 | XP_047275246.1:p.Arg200= | XP_047275246.1:p.Arg200His |
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 | ILLUMINA | ss75259731 | Dec 07, 2007 (129) |
| 2 | AFFY_DM3_1 | ss105434635 | Feb 06, 2009 (130) |
| 3 | SNP500CANCER | ss105439598 | Feb 06, 2009 (130) |
| 4 | ILLUMINA | ss152536523 | Dec 01, 2009 (131) |
| 5 | ILLUMINA | ss159102655 | Dec 01, 2009 (131) |
| 6 | ILLUMINA | ss169135713 | Jul 04, 2010 (132) |
| 7 | ILLUMINA | ss169483327 | Jul 04, 2010 (132) |
| 8 | 1000GENOMES | ss222237859 | Jul 14, 2010 (132) |
| 9 | OMIM-CURATED-RECORDS | ss275515910 | Nov 29, 2010 (133) |
| 10 | NHLBI-ESP | ss342202118 | May 09, 2011 (134) |
| 11 | 1000GENOMES | ss490920223 | May 04, 2012 (137) |
| 12 | EXOME_CHIP | ss491378157 | May 04, 2012 (137) |
| 13 | ILLUMINA | ss537652739 | Sep 08, 2015 (146) |
| 14 | ILLUMINA | ss780845866 | Sep 08, 2015 (146) |
| 15 | ILLUMINA | ss783529413 | Sep 08, 2015 (146) |
| 16 | ILLUMINA | ss832615451 | Jul 13, 2019 (153) |
| 17 | 1000GENOMES | ss1319172551 | Aug 21, 2014 (142) |
| 18 | EVA_UK10K_ALSPAC | ss1615060467 | Apr 01, 2015 (144) |
| 19 | EVA_UK10K_TWINSUK | ss1658054500 | Apr 01, 2015 (144) |
| 20 | EVA_EXAC | ss1688172351 | Apr 01, 2015 (144) |
| 21 | EVA_MGP | ss1711113285 | Apr 01, 2015 (144) |
| 22 | ILLUMINA | ss1752617945 | Sep 08, 2015 (146) |
| 23 | ILLUMINA | ss1917799664 | Feb 12, 2016 (147) |
| 24 | ILLUMINA | ss1946168664 | Feb 12, 2016 (147) |
| 25 | ILLUMINA | ss1958867441 | Feb 12, 2016 (147) |
| 26 | ILLUMINA | ss2634407228 | Nov 08, 2017 (151) |
| 27 | GNOMAD | ss2735561451 | Nov 08, 2017 (151) |
| 28 | GNOMAD | ss2747554045 | Nov 08, 2017 (151) |
| 29 | GNOMAD | ss2836353085 | Nov 08, 2017 (151) |
| 30 | AFFY | ss2985354996 | Nov 08, 2017 (151) |
| 31 | AFFY | ss2985984177 | Nov 08, 2017 (151) |
| 32 | ILLUMINA | ss3022579691 | Nov 08, 2017 (151) |
| 33 | ILLUMINA | ss3629456170 | Oct 12, 2018 (152) |
| 34 | ILLUMINA | ss3629456171 | Oct 12, 2018 (152) |
| 35 | ILLUMINA | ss3635046784 | Oct 12, 2018 (152) |
| 36 | ILLUMINA | ss3638610049 | Oct 12, 2018 (152) |
| 37 | ILLUMINA | ss3638610050 | Oct 12, 2018 (152) |
| 38 | ILLUMINA | ss3640754080 | Oct 12, 2018 (152) |
| 39 | ILLUMINA | ss3643551625 | Oct 12, 2018 (152) |
| 40 | ILLUMINA | ss3644901728 | Oct 12, 2018 (152) |
| 41 | ILLUMINA | ss3653088305 | Oct 12, 2018 (152) |
| 42 | ILLUMINA | ss3654123227 | Oct 12, 2018 (152) |
| 43 | ILLUMINA | ss3726314859 | Jul 13, 2019 (153) |
| 44 | ILLUMINA | ss3744546293 | Jul 13, 2019 (153) |
| 45 | ILLUMINA | ss3745346870 | Jul 13, 2019 (153) |
| 46 | PAGE_CC | ss3771266097 | Jul 13, 2019 (153) |
| 47 | ILLUMINA | ss3772840659 | Jul 13, 2019 (153) |
| 48 | KHV_HUMAN_GENOMES | ss3807838504 | Jul 13, 2019 (153) |
| 49 | EVA | ss3824158471 | Apr 26, 2020 (154) |
| 50 | SGDP_PRJ | ss3864022756 | Apr 26, 2020 (154) |
| 51 | EVA | ss3984448409 | Apr 26, 2021 (155) |
| 52 | TOPMED | ss4695324311 | Apr 26, 2021 (155) |
| 53 | EVA | ss6234522861 | Nov 02, 2024 (157) |
| 54 | EVA | ss6297653895 | Nov 02, 2024 (157) |
| 55 | EVA | ss6404345177 | Nov 02, 2024 (157) |
| 56 | GNOMAD | ss6426751113 | Nov 02, 2024 (157) |
| 57 | GNOMAD | ss6707992233 | Nov 02, 2024 (157) |
| 58 | 1000G_HIGH_COVERAGE | ss8267581184 | Nov 02, 2024 (157) |
| 59 | EVA | ss8364130891 | Nov 02, 2024 (157) |
| 60 | HUGCELL_USP | ss8465357063 | Nov 02, 2024 (157) |
| 61 | EVA | ss8512473844 | Nov 02, 2024 (157) |
| 62 | 1000G_HIGH_COVERAGE | ss8553086967 | Nov 02, 2024 (157) |
| 63 | SANFORD_IMAGENETICS | ss8639870341 | Nov 02, 2024 (157) |
| 64 | EVA | ss8848082768 | Nov 02, 2024 (157) |
| 65 | EVA | ss8882860666 | Nov 02, 2024 (157) |
| 66 | EVA | ss8968372678 | Nov 02, 2024 (157) |
| 67 | EVA | ss8982518781 | Nov 02, 2024 (157) |
| 68 | 1000Genomes | NC_000006.11 - 18130993 | Oct 12, 2018 (152) |
| 69 | 1000Genomes_30X | NC_000006.12 - 18130762 | Nov 02, 2024 (157) |
| 70 | The Avon Longitudinal Study of Parents and Children | NC_000006.11 - 18130993 | Oct 12, 2018 (152) |
| 71 | ExAC | NC_000006.11 - 18130993 | Oct 12, 2018 (152) |
| 72 | gnomAD v4 - Exomes | NC_000006.12 - 18130762 | Nov 02, 2024 (157) |
| 73 | gnomAD v4 - Genomes | NC_000006.12 - 18130762 | Nov 02, 2024 (157) |
| 74 | Medical Genome Project healthy controls from Spanish population | NC_000006.11 - 18130993 | Apr 26, 2020 (154) |
| 75 | The PAGE Study | NC_000006.12 - 18130762 | Jul 13, 2019 (153) |
| 76 | MxGDAR/Encodat-PGx | NC_000006.11 - 18130993 | Apr 26, 2021 (155) |
| 77 | SGDP_PRJ | NC_000006.11 - 18130993 | Apr 26, 2020 (154) |
| 78 | TopMed | NC_000006.12 - 18130762 | Apr 26, 2021 (155) |
| 79 | UK 10K study - Twins | NC_000006.11 - 18130993 | Oct 12, 2018 (152) |
| 80 | ALFA | NC_000006.12 - 18130762 | Nov 02, 2024 (157) |
| 81 | ClinVar | RCV000013563.24 | Jul 13, 2019 (153) |
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).
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss3643551625 | NC_000006.10:18238971:C:T | NC_000006.12:18130761:C:T | (self) |
| 30923633, 17225117, 8192339, 229045, 1410, 16039736, 17225117, ss222237859, ss342202118, ss490920223, ss491378157, ss537652739, ss780845866, ss783529413, ss832615451, ss1319172551, ss1615060467, ss1658054500, ss1688172351, ss1711113285, ss1752617945, ss1917799664, ss1946168664, ss1958867441, ss2634407228, ss2735561451, ss2747554045, ss2836353085, ss2985354996, ss2985984177, ss3022579691, ss3629456170, ss3629456171, ss3635046784, ss3638610049, ss3638610050, ss3640754080, ss3644901728, ss3653088305, ss3654123227, ss3744546293, ss3745346870, ss3772840659, ss3824158471, ss3864022756, ss3984448409, ss6234522861, ss6297653895, ss8364130891, ss8512473844, ss8639870341, ss8848082768, ss8968372678, ss8982518781 | NC_000006.11:18130992:C:T | NC_000006.12:18130761:C:T | (self) |
| RCV000013563.24, 40612902, 22062060, 234761796, 487566, 532701869, 12545072190, ss275515910, ss3726314859, ss3771266097, ss3807838504, ss4695324311, ss6404345177, ss6426751113, ss6707992233, ss8267581184, ss8465357063, ss8553086967, ss8882860666 | NC_000006.12:18130761:C:T | NC_000006.12:18130761:C:T | (self) |
| ss75259731, ss105434635, ss105439598, ss152536523, ss159102655, ss169135713, ss169483327 | NT_007592.15:18070992:C:T | NC_000006.12:18130761: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 |
|---|---|---|---|---|
| 9931346 | Polymorphism of the thiopurine S-methyltransferase gene in African-Americans. | Hon YY et al. | 1999 | Human molecular genetics |
| 24762746 | New genetic biomarkers predicting azathioprine blood concentrations in combination therapy with 5-aminosalicylic acid. | Uchiyama K et al. | 2014 | PloS one |
| 24860591 | Imputation of TPMT defective alleles for the identification of patients with high-risk phenotypes. | Almoguera B et al. | 2014 | Frontiers in genetics |
| 25741362 | Use of pharmacogenomics in pediatric renal transplant recipients. | Medeiros M et al. | 2015 | Frontiers in genetics |
| 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 |
| 34412101 | Comprehensive characterization of pharmacogenetic variants in TPMT and NUDT15 in children with acute lymphoblastic leukemia. | Moriyama T et al. | 2022 | Pharmacogenetics and genomics |
| 34621706 | Comprehensive analysis of important pharmacogenes in Koreans using the DMET™ platform. | Kim B et al. | 2021 | Translational and clinical pharmacology |
| 35089958 | Identification of pharmacogenetic variants from large scale next generation sequencing data in the Saudi population. | Goljan E et al. | 2022 | PloS one |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
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.