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.
rs116855232
Current Build 157
Released September 3, 2024
- Organism
- Homo sapiens
- Position
-
chr13:48045719 (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=0.0115810 (16209/1399618, GnomAD_exomes)T=0.013359 (3536/264690, TOPMED)T=0.007938 (1704/214674, ALFA) (+ 22 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- NUDT15 : Missense Variant
- Publications
- 16 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 | 214674 | C=0.992062 | T=0.007938 | 0.984721 | 0.000596 | 0.014683 | 32 |
| European | Sub | 178344 | C=0.997135 | T=0.002865 | 0.99427 | 0.0 | 0.00573 | 0 |
| African | Sub | 9810 | C=0.9989 | T=0.0011 | 0.997757 | 0.0 | 0.002243 | 0 |
| African Others | Sub | 360 | C=1.000 | T=0.000 | 1.0 | 0.0 | 0.0 | N/A |
| African American | Sub | 9450 | C=0.9988 | T=0.0012 | 0.997672 | 0.0 | 0.002328 | 0 |
| Asian | Sub | 6342 | C=0.8836 | T=0.1164 | 0.782088 | 0.014822 | 0.203091 | 0 |
| East Asian | Sub | 4492 | C=0.8862 | T=0.1138 | 0.785841 | 0.013357 | 0.200801 | 0 |
| Other Asian | Sub | 1850 | C=0.8773 | T=0.1227 | 0.772973 | 0.018378 | 0.208649 | 1 |
| Latin American 1 | Sub | 804 | C=0.994 | T=0.006 | 0.987562 | 0.0 | 0.012438 | 0 |
| Latin American 2 | Sub | 974 | C=0.953 | T=0.047 | 0.907598 | 0.002053 | 0.090349 | 0 |
| South Asian | Sub | 280 | C=0.957 | T=0.043 | 0.921429 | 0.007143 | 0.071429 | 2 |
| Other | Sub | 18120 | C=0.97897 | T=0.02103 | 0.959603 | 0.001656 | 0.038742 | 17 |
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 | 1399618 | C=0.9884190 | T=0.0115810 |
| gnomAD v4 - Exomes | European | Sub | 1164806 | C=0.9966424 | T=0.0033576 |
| gnomAD v4 - Exomes | South Asian | Sub | 85900 | C=0.93560 | T=0.06440 |
| gnomAD v4 - Exomes | American | Sub | 44292 | C=0.94367 | T=0.05633 |
| gnomAD v4 - Exomes | East Asian | Sub | 39390 | C=0.89647 | T=0.10353 |
| gnomAD v4 - Exomes | African | Sub | 33358 | C=0.99868 | T=0.00132 |
| gnomAD v4 - Exomes | Ashkenazi Jewish | Sub | 26106 | C=0.99694 | T=0.00306 |
| gnomAD v4 - Exomes | Middle Eastern | sub | 5766 | C=0.9880 | T=0.0120 |
| TopMed | Global | Study-wide | 264690 | C=0.986641 | T=0.013359 |
| Allele Frequency Aggregator | Total | Global | 214674 | C=0.992062 | T=0.007938 |
| Allele Frequency Aggregator | European | Sub | 178344 | C=0.997135 | T=0.002865 |
| Allele Frequency Aggregator | Other | Sub | 18120 | C=0.97897 | T=0.02103 |
| Allele Frequency Aggregator | African | Sub | 9810 | C=0.9989 | T=0.0011 |
| Allele Frequency Aggregator | Asian | Sub | 6342 | C=0.8836 | T=0.1164 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 974 | C=0.953 | T=0.047 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 804 | C=0.994 | T=0.006 |
| Allele Frequency Aggregator | South Asian | Sub | 280 | C=0.957 | T=0.043 |
| gnomAD v4 - Genomes | Global | Study-wide | 149112 | C=0.987325 | T=0.012675 |
| gnomAD v4 - Genomes | European | Sub | 78558 | C=0.99455 | T=0.00545 |
| gnomAD v4 - Genomes | African | Sub | 41516 | C=0.99908 | T=0.00092 |
| gnomAD v4 - Genomes | American | Sub | 15278 | C=0.96426 | T=0.03574 |
| gnomAD v4 - Genomes | East Asian | Sub | 5182 | C=0.8987 | T=0.1013 |
| gnomAD v4 - Genomes | South Asian | Sub | 4816 | C=0.9292 | T=0.0708 |
| gnomAD v4 - Genomes | Ashkenazi Jewish | Sub | 3468 | C=0.9968 | T=0.0032 |
| gnomAD v4 - Genomes | Middle Eastern | sub | 294 | C=0.997 | T=0.003 |
| ExAC | Global | Study-wide | 121238 | C=0.972146 | T=0.027854 |
| ExAC | Europe | Sub | 73312 | C=0.99378 | T=0.00622 |
| ExAC | Asian | Sub | 25158 | C=0.91816 | T=0.08184 |
| ExAC | American | Sub | 11572 | C=0.92888 | T=0.07112 |
| ExAC | African | Sub | 10288 | C=0.99932 | T=0.00068 |
| ExAC | Other | Sub | 908 | C=0.965 | T=0.035 |
| 38KJPN | JAPANESE | Study-wide | 77412 | C=0.89725 | T=0.10275 |
| GO Exome Sequencing Project | Global | Study-wide | 13006 | C=0.99808 | T=0.00192 |
| GO Exome Sequencing Project | European American | Sub | 8600 | C=0.9976 | T=0.0024 |
| GO Exome Sequencing Project | African American | Sub | 4406 | C=0.9991 | T=0.0009 |
| Korean Genome Project 4K | KOREAN | Study-wide | 7232 | C=0.8873 | T=0.1127 |
| 1000Genomes_30X | Global | Study-wide | 6404 | C=0.9628 | T=0.0372 |
| 1000Genomes_30X | African | Sub | 1786 | C=0.9994 | T=0.0006 |
| 1000Genomes_30X | Europe | Sub | 1266 | C=0.9984 | T=0.0016 |
| 1000Genomes_30X | South Asian | Sub | 1202 | C=0.9326 | T=0.0674 |
| 1000Genomes_30X | East Asian | Sub | 1170 | C=0.9043 | T=0.0957 |
| 1000Genomes_30X | American | Sub | 980 | C=0.957 | T=0.043 |
| 1000Genomes | Global | Study-wide | 5008 | C=0.9605 | T=0.0395 |
| 1000Genomes | African | Sub | 1322 | C=0.9992 | T=0.0008 |
| 1000Genomes | East Asian | Sub | 1008 | C=0.9048 | T=0.0952 |
| 1000Genomes | Europe | Sub | 1006 | C=0.9980 | T=0.0020 |
| 1000Genomes | South Asian | Sub | 978 | C=0.930 | T=0.070 |
| 1000Genomes | American | Sub | 694 | C=0.955 | T=0.045 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.9944 | T=0.0056 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.9969 | T=0.0031 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.9976 | T=0.0024 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2922 | C=0.8895 | T=0.1105 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | C=0.8810 | T=0.1190 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.995 | T=0.005 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 790 | C=0.897 | T=0.103 |
| CNV burdens in cranial meningiomas | CRM | Sub | 790 | C=0.897 | T=0.103 |
| Northern Sweden | ACPOP | Study-wide | 600 | C=0.993 | T=0.007 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.996 | T=0.004 |
| FINRISK | Finnish from FINRISK project | Study-wide | 304 | C=0.967 | T=0.033 |
| Qatari | Global | Study-wide | 216 | C=0.972 | T=0.028 |
| SGDP_PRJ | Global | Study-wide | 80 | C=0.40 | T=0.60 |
| The Danish reference pan genome | Danish | Study-wide | 40 | C=0.97 | T=0.03 |
| Siberian | Global | Study-wide | 8 | 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 13 | NC_000013.11:g.48045719C>T |
| GRCh37.p13 chr 13 | NC_000013.10:g.48619855C>T |
| NUDT15 RefSeqGene | NG_047021.1:g.13153C>T |
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| NUDT15 transcript variant 2 | NM_001304745.2:c. | N/A | Genic Downstream Transcript Variant |
| NUDT15 transcript variant 1 | NM_018283.4:c.415C>T | R [CGT] > C [TGT] | Coding Sequence Variant |
| nucleotide triphosphate diphosphatase NUDT15 isoform 1 | NP_060753.1:p.Arg139Cys | R (Arg) > C (Cys) | Missense Variant |
| NUDT15 transcript variant 4 | NR_136688.2:n.436C>T | N/A | Non Coding Transcript Variant |
| NUDT15 transcript variant 3 | NR_136687.2:n.436C>T | 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.
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000210853.10 | Thiopurines, poor metabolism of, 2 | Drug-Response |
| RCV001787328.10 | azathioprine response - Toxicity | Drug-Response |
| RCV001788069.9 | mercaptopurine response - Dosage | Drug-Response |
| RCV003982953.1 | NUDT15-related disorder | Likely-Benign |
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 13 | NC_000013.11:g.48045719= | NC_000013.11:g.48045719C>T |
| GRCh37.p13 chr 13 | NC_000013.10:g.48619855= | NC_000013.10:g.48619855C>T |
| NUDT15 RefSeqGene | NG_047021.1:g.13153= | NG_047021.1:g.13153C>T |
| NUDT15 transcript variant 1 | NM_018283.4:c.415= | NM_018283.4:c.415C>T |
| NUDT15 transcript variant 1 | NM_018283.3:c.415= | NM_018283.3:c.415C>T |
| NUDT15 transcript variant 1 | NM_018283.2:c.415= | NM_018283.2:c.415C>T |
| NUDT15 transcript | NM_018283.1:c.415= | NM_018283.1:c.415C>T |
| NUDT15 transcript variant 3 | NR_136687.2:n.436= | NR_136687.2:n.436C>T |
| NUDT15 transcript variant 3 | NR_136687.1:n.595= | NR_136687.1:n.595C>T |
| NUDT15 transcript variant 4 | NR_136688.2:n.436= | NR_136688.2:n.436C>T |
| NUDT15 transcript variant 4 | NR_136688.1:n.595= | NR_136688.1:n.595C>T |
| nucleotide triphosphate diphosphatase NUDT15 isoform 1 | NP_060753.1:p.Arg139= | NP_060753.1:p.Arg139Cys |
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 | 1000GENOMES | ss242744804 | Jul 15, 2010 (132) |
| 2 | GMI | ss281709185 | May 04, 2012 (137) |
| 3 | NHLBI-ESP | ss342376842 | May 09, 2011 (134) |
| 4 | 1000GENOMES | ss491059970 | May 04, 2012 (137) |
| 5 | EXOME_CHIP | ss491478996 | May 04, 2012 (137) |
| 6 | CLINSEQ_SNP | ss491679665 | May 04, 2012 (137) |
| 7 | ILLUMINA | ss534176105 | Sep 08, 2015 (146) |
| 8 | SSMP | ss659263965 | Apr 25, 2013 (138) |
| 9 | ILLUMINA | ss780696745 | Sep 08, 2015 (146) |
| 10 | ILLUMINA | ss783370770 | Sep 08, 2015 (146) |
| 11 | EVA-GONL | ss990376209 | Aug 21, 2014 (142) |
| 12 | JMKIDD_LAB | ss1067541419 | Aug 21, 2014 (142) |
| 13 | JMKIDD_LAB | ss1079074755 | Aug 21, 2014 (142) |
| 14 | 1000GENOMES | ss1348163130 | Aug 21, 2014 (142) |
| 15 | EVA_GENOME_DK | ss1576779808 | Apr 01, 2015 (144) |
| 16 | EVA_FINRISK | ss1584087006 | Apr 01, 2015 (144) |
| 17 | EVA_UK10K_ALSPAC | ss1630250999 | Apr 01, 2015 (144) |
| 18 | EVA_UK10K_TWINSUK | ss1673245032 | Apr 01, 2015 (144) |
| 19 | EVA_DECODE | ss1684899539 | Apr 01, 2015 (144) |
| 20 | EVA_EXAC | ss1691286401 | Apr 01, 2015 (144) |
| 21 | EVA_MGP | ss1711356953 | Apr 01, 2015 (144) |
| 22 | ILLUMINA | ss1752106539 | Sep 08, 2015 (146) |
| 23 | ILLUMINA | ss1917883412 | Feb 12, 2016 (147) |
| 24 | WEILL_CORNELL_DGM | ss1933744658 | Feb 12, 2016 (147) |
| 25 | ILLUMINA | ss1946360848 | Feb 12, 2016 (147) |
| 26 | ILLUMINA | ss1959500732 | Feb 12, 2016 (147) |
| 27 | GENOMED | ss1967779984 | Jul 19, 2016 (147) |
| 28 | USC_VALOUEV | ss2155998095 | Dec 20, 2016 (150) |
| 29 | HUMAN_LONGEVITY | ss2196205416 | Dec 20, 2016 (150) |
| 30 | SYSTEMSBIOZJU | ss2628306397 | Nov 08, 2017 (151) |
| 31 | GRF | ss2700377287 | Nov 08, 2017 (151) |
| 32 | GNOMAD | ss2740407827 | Nov 08, 2017 (151) |
| 33 | GNOMAD | ss2749045207 | Nov 08, 2017 (151) |
| 34 | GNOMAD | ss2919475160 | Nov 08, 2017 (151) |
| 35 | SWEGEN | ss3010996151 | Nov 08, 2017 (151) |
| 36 | ILLUMINA | ss3021507486 | Nov 08, 2017 (151) |
| 37 | ILLUMINA | ss3627062978 | Oct 12, 2018 (152) |
| 38 | ILLUMINA | ss3627062979 | Oct 12, 2018 (152) |
| 39 | ILLUMINA | ss3634544529 | Oct 12, 2018 (152) |
| 40 | ILLUMINA | ss3640251859 | Oct 12, 2018 (152) |
| 41 | ILLUMINA | ss3644613883 | Oct 12, 2018 (152) |
| 42 | OMUKHERJEE_ADBS | ss3646453571 | Oct 12, 2018 (152) |
| 43 | ILLUMINA | ss3651895078 | Oct 12, 2018 (152) |
| 44 | EGCUT_WGS | ss3678260260 | Jul 13, 2019 (153) |
| 45 | EVA_DECODE | ss3695260932 | Jul 13, 2019 (153) |
| 46 | ILLUMINA | ss3725393476 | Jul 13, 2019 (153) |
| 47 | ACPOP | ss3739734486 | Jul 13, 2019 (153) |
| 48 | ILLUMINA | ss3744405949 | Jul 13, 2019 (153) |
| 49 | ILLUMINA | ss3744845222 | Jul 13, 2019 (153) |
| 50 | EVA | ss3751446804 | Jul 13, 2019 (153) |
| 51 | ILLUMINA | ss3772344290 | Jul 13, 2019 (153) |
| 52 | KHV_HUMAN_GENOMES | ss3816776967 | Jul 13, 2019 (153) |
| 53 | EVA | ss3824809197 | Apr 27, 2020 (154) |
| 54 | EVA | ss3825836770 | Apr 27, 2020 (154) |
| 55 | SGDP_PRJ | ss3879945458 | Apr 27, 2020 (154) |
| 56 | KRGDB | ss3928796480 | Apr 27, 2020 (154) |
| 57 | KOGIC | ss3973534138 | Apr 27, 2020 (154) |
| 58 | NORTHRUP_AU | ss3983908572 | Apr 26, 2021 (155) |
| 59 | EVA | ss3984680232 | Apr 26, 2021 (155) |
| 60 | EVA | ss3986601559 | Apr 26, 2021 (155) |
| 61 | TOPMED | ss4945748797 | Apr 26, 2021 (155) |
| 62 | TOMMO_GENOMICS | ss6141981070 | Nov 03, 2024 (157) |
| 63 | EVA | ss6263383987 | Nov 03, 2024 (157) |
| 64 | EVA | ss6312201483 | Nov 03, 2024 (157) |
| 65 | EVA | ss6322482922 | Nov 03, 2024 (157) |
| 66 | EVA | ss6332662018 | Nov 03, 2024 (157) |
| 67 | EVA | ss6349855887 | Nov 03, 2024 (157) |
| 68 | KOGIC | ss6388480928 | Nov 03, 2024 (157) |
| 69 | EVA | ss6404109698 | Nov 03, 2024 (157) |
| 70 | GNOMAD | ss6449874857 | Nov 03, 2024 (157) |
| 71 | GNOMAD | ss6934457438 | Nov 03, 2024 (157) |
| 72 | TOMMO_GENOMICS | ss8209927664 | Nov 03, 2024 (157) |
| 73 | EVA | ss8236912911 | Nov 03, 2024 (157) |
| 74 | EVA | ss8237526485 | Nov 03, 2024 (157) |
| 75 | 1000G_HIGH_COVERAGE | ss8293681739 | Nov 03, 2024 (157) |
| 76 | EVA | ss8315683113 | Nov 03, 2024 (157) |
| 77 | EVA | ss8410673317 | Nov 03, 2024 (157) |
| 78 | HUGCELL_USP | ss8488050564 | Nov 03, 2024 (157) |
| 79 | EVA | ss8512473934 | Nov 03, 2024 (157) |
| 80 | 1000G_HIGH_COVERAGE | ss8592604361 | Nov 03, 2024 (157) |
| 81 | SANFORD_IMAGENETICS | ss8654740848 | Nov 03, 2024 (157) |
| 82 | TOMMO_GENOMICS | ss8761783019 | Nov 03, 2024 (157) |
| 83 | EVA | ss8799403956 | Nov 03, 2024 (157) |
| 84 | YY_MCH | ss8814099693 | Nov 03, 2024 (157) |
| 85 | EVA | ss8839455840 | Nov 03, 2024 (157) |
| 86 | EVA | ss8847424331 | Nov 03, 2024 (157) |
| 87 | EVA | ss8847698401 | Nov 03, 2024 (157) |
| 88 | EVA | ss8850723460 | Nov 03, 2024 (157) |
| 89 | EVA | ss8925048516 | Nov 03, 2024 (157) |
| 90 | EVA | ss8946160108 | Nov 03, 2024 (157) |
| 91 | EVA | ss8979418360 | Nov 03, 2024 (157) |
| 92 | EVA | ss8981479075 | Nov 03, 2024 (157) |
| 93 | EVA | ss8981769111 | Nov 03, 2024 (157) |
| 94 | EVA | ss8981769112 | Nov 03, 2024 (157) |
| 95 | EVA | ss8982214069 | Nov 03, 2024 (157) |
| 96 | 1000Genomes | NC_000013.10 - 48619855 | Oct 12, 2018 (152) |
| 97 | 1000Genomes_30X | NC_000013.11 - 48045719 | Nov 03, 2024 (157) |
| 98 | The Avon Longitudinal Study of Parents and Children | NC_000013.10 - 48619855 | Oct 12, 2018 (152) |
| 99 | Genetic variation in the Estonian population | NC_000013.10 - 48619855 | Oct 12, 2018 (152) |
| 100 | ExAC | NC_000013.10 - 48619855 | Oct 12, 2018 (152) |
| 101 | FINRISK | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 102 | The Danish reference pan genome | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 103 | gnomAD v4 - Exomes | NC_000013.11 - 48045719 | Nov 03, 2024 (157) |
| 104 | gnomAD v4 - Genomes | NC_000013.11 - 48045719 | Nov 03, 2024 (157) |
| 105 | GO Exome Sequencing Project | NC_000013.10 - 48619855 | Oct 12, 2018 (152) |
| 106 | Genome of the Netherlands Release 5 | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 107 | KOREAN population from KRGDB | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 108 | Korean Genome Project | NC_000013.11 - 48045719 | Apr 27, 2020 (154) |
| 109 | Korean Genome Project 4K | NC_000013.11 - 48045719 | Nov 03, 2024 (157) |
| 110 | Medical Genome Project healthy controls from Spanish population | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 111 | Northern Sweden | NC_000013.10 - 48619855 | Jul 13, 2019 (153) |
| 112 | CNV burdens in cranial meningiomas | NC_000013.10 - 48619855 | Apr 26, 2021 (155) |
| 113 | Qatari | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 114 | SGDP_PRJ | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 115 | Siberian | NC_000013.10 - 48619855 | Apr 27, 2020 (154) |
| 116 | 38KJPN | NC_000013.11 - 48045719 | Nov 03, 2024 (157) |
| 117 | TopMed | NC_000013.11 - 48045719 | Apr 26, 2021 (155) |
| 118 | UK 10K study - Twins | NC_000013.10 - 48619855 | Oct 12, 2018 (152) |
| 119 | ALFA | NC_000013.11 - 48045719 | Nov 03, 2024 (157) |
| 120 | ClinVar | RCV000210853.10 | Nov 03, 2024 (157) |
| 121 | ClinVar | RCV001787328.10 | Nov 03, 2024 (157) |
| 122 | ClinVar | RCV001788069.9 | Nov 03, 2024 (157) |
| 123 | ClinVar | RCV003982953.1 | Nov 03, 2024 (157) |
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 |
|---|---|---|---|
| ss281709185, ss491679665, ss1684899539 | NC_000013.9:47517855:C:T | NC_000013.11:48045718:C:T | (self) |
| 61032247, 33907527, 23998508, 1615158, 83467, 3293761, 1266584, 15129170, 35973874, 472713, 13019351, 229737, 15786588, 31962438, 8514449, 33907527, ss242744804, ss342376842, ss491059970, ss491478996, ss534176105, ss659263965, ss780696745, ss783370770, ss990376209, ss1067541419, ss1079074755, ss1348163130, ss1576779808, ss1584087006, ss1630250999, ss1673245032, ss1691286401, ss1711356953, ss1752106539, ss1917883412, ss1933744658, ss1946360848, ss1959500732, ss1967779984, ss2155998095, ss2628306397, ss2700377287, ss2740407827, ss2749045207, ss2919475160, ss3010996151, ss3021507486, ss3627062978, ss3627062979, ss3634544529, ss3640251859, ss3644613883, ss3646453571, ss3651895078, ss3678260260, ss3739734486, ss3744405949, ss3744845222, ss3751446804, ss3772344290, ss3824809197, ss3825836770, ss3879945458, ss3928796480, ss3983908572, ss3984680232, ss3986601559, ss6263383987, ss6312201483, ss6322482922, ss6332662018, ss6349855887, ss8209927664, ss8237526485, ss8315683113, ss8410673317, ss8512473934, ss8654740848, ss8799403956, ss8839455840, ss8847424331, ss8847698401, ss8946160108, ss8979418360, ss8981479075, ss8981769111, ss8981769112, ss8982214069 | NC_000013.10:48619854:C:T | NC_000013.11:48045718:C:T | (self) |
| RCV000210853.10, RCV001787328.10, RCV001788069.9, RCV003982953.1, 80130296, 45203822, 461776007, 29912139, 38332826, 159356890, 161294455, 4372359476, ss2196205416, ss3695260932, ss3725393476, ss3816776967, ss3973534138, ss4945748797, ss6141981070, ss6388480928, ss6404109698, ss6449874857, ss6934457438, ss8236912911, ss8293681739, ss8488050564, ss8592604361, ss8761783019, ss8814099693, ss8850723460, ss8925048516 | NC_000013.11:48045718:C:T | NC_000013.11:48045718: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 |
|---|---|---|---|---|
| 22992668 | Pharmacogenomics knowledge for personalized medicine. | Whirl-Carrillo M et al. | 2012 | Clinical pharmacology and therapeutics |
| 25108385 | A common missense variant in NUDT15 confers susceptibility to thiopurine-induced leukopenia. | Yang SK et al. | 2014 | Nature genetics |
| 25624441 | Inherited NUDT15 variant is a genetic determinant of mercaptopurine intolerance in children with acute lymphoblastic leukemia. | Yang JJ et al. | 2015 | Journal of clinical oncology |
| 26033531 | Susceptibility to 6-MP toxicity conferred by a NUDT15 variant in Japanese children with acute lymphoblastic leukaemia. | Tanaka Y et al. | 2015 | British journal of haematology |
| 26076924 | NUDT15 R139C causes thiopurine-induced early severe hair loss and leukopenia in Japanese patients with IBD. | Kakuta Y et al. | 2016 | The pharmacogenomics journal |
| 26405151 | NUDT15 c.415C>T increases risk of 6-mercaptopurine induced myelosuppression during maintenance therapy in children with acute lymphoblastic leukemia. | Chiengthong K et al. | 2016 | Haematologica |
| 26503813 | NUDT15 gene polymorphism related to mercaptopurine intolerance in Taiwan Chinese children with acute lymphoblastic leukemia. | Liang DC et al. | 2016 | The pharmacogenomics journal |
| 26590936 | NUDT15 R139C-related thiopurine leukocytopenia is mediated by 6-thioguanine nucleotide-independent mechanism in Japanese patients with inflammatory bowel disease. | Asada A et al. | 2016 | Journal of gastroenterology |
| 26735160 | NUDT15 variant is the most common variant associated with thiopurine-induced early leukopenia and alopecia in Korean pediatric patients with Crohn's disease. | Lee YJ et al. | 2016 | European journal of gastroenterology & hepatology |
| 26878724 | NUDT15 polymorphisms alter thiopurine metabolism and hematopoietic toxicity. | Moriyama T et al. | 2016 | Nature genetics |
| 27095468 | NUDT15 variant and thiopurine-induced leukopenia in Hong Kong. | Wong FC et al. | 2016 | Hong Kong medical journal = Xianggang yi xue za zhi |
| 27193222 | Genotyping NUDT15 can predict the dose reduction of 6-MP for children with acute lymphoblastic leukemia especially at a preschool age. | Suzuki H et al. | 2016 | Journal of human genetics |
| 27381176 | Further evidence that a variant of the gene NUDT15 may be an important predictor of azathioprine-induced toxicity in Chinese subjects: a case report. | Ailing Z et al. | 2016 | Journal of clinical pharmacy and therapeutics |
| 27416873 | Nucleoside diphosphate-linked moiety X-type motif 15 C415T variant as a predictor for thiopurine-induced toxicity in Indian patients. | Shah SA et al. | 2017 | Journal of gastroenterology and hepatology |
| 27577869 | NUDT15 and TPMT genetic polymorphisms are related to 6-mercaptopurine intolerance in children treated for acute lymphoblastic leukemia at the Children's Cancer Center of Lebanon. | Zgheib NK et al. | 2017 | Pediatric blood & cancer |
| 27604507 | NUDT15 polymorphisms are better than thiopurine S-methyltransferase as predictor of risk for thiopurine-induced leukopenia in Chinese patients with Crohn's disease. | Zhu X et al. | 2016 | Alimentary pharmacology & therapeutics |
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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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.