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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.

rs7270101

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr20:3213247 (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
A>C
Variation Type
SNV Single Nucleotide Variation
Frequency
C=0.097971 (25932/264690, TOPMED)
C=0.087341 (21964/251474, GnomAD_exome)
C=0.098737 (13836/140130, GnomAD) (+ 23 more)
C=0.088634 (10760/121398, ExAC)
C=0.07233 (5692/78698, PAGE_STUDY)
C=0.10939 (4645/42464, ALFA)
C=0.00004 (1/28258, 14KJPN)
C=0.00006 (1/16760, 8.3KJPN)
C=0.11179 (1454/13006, GO-ESP)
C=0.0606 (388/6404, 1000G_30x)
C=0.0591 (296/5008, 1000G)
C=0.1199 (537/4480, Estonian)
C=0.1515 (584/3854, ALSPAC)
C=0.1405 (521/3708, TWINSUK)
C=0.0011 (2/1832, Korea1K)
C=0.1022 (149/1458, HapMap)
C=0.135 (135/998, GoNL)
C=0.010 (8/792, PRJEB37584)
C=0.050 (30/600, NorthernSweden)
C=0.163 (87/534, MGP)
C=0.086 (26/304, FINRISK)
C=0.069 (15/216, Qatari)
C=0.08 (6/72, Ancient Sardinia)
A=0.48 (23/48, SGDP_PRJ)
C=0.07 (3/40, GENOME_DK)
A=0.4 (4/10, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
ITPA : Intron Variant
Publications
55 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 42556 A=0.89054 C=0.10946
European Sub 30358 A=0.87894 C=0.12106
African Sub 7340 A=0.9289 C=0.0711
African Others Sub 240 A=0.925 C=0.075
African American Sub 7100 A=0.9290 C=0.0710
Asian Sub 214 A=0.995 C=0.005
East Asian Sub 156 A=1.000 C=0.000
Other Asian Sub 58 A=0.98 C=0.02
Latin American 1 Sub 168 A=0.929 C=0.071
Latin American 2 Sub 670 A=0.919 C=0.081
South Asian Sub 104 A=0.942 C=0.058
Other Sub 3702 A=0.8952 C=0.1048


Help

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 A=0.902029 C=0.097971
gnomAD - Exomes Global Study-wide 251474 A=0.912659 C=0.087341
gnomAD - Exomes European Sub 135404 A=0.881458 C=0.118542
gnomAD - Exomes Asian Sub 49008 A=0.98180 C=0.01820
gnomAD - Exomes American Sub 34592 A=0.93001 C=0.06999
gnomAD - Exomes African Sub 16250 A=0.92788 C=0.07212
gnomAD - Exomes Ashkenazi Jewish Sub 10080 A=0.92401 C=0.07599
gnomAD - Exomes Other Sub 6140 A=0.8922 C=0.1078
gnomAD - Genomes Global Study-wide 140130 A=0.901263 C=0.098737
gnomAD - Genomes European Sub 75892 A=0.88133 C=0.11867
gnomAD - Genomes African Sub 42004 A=0.92722 C=0.07278
gnomAD - Genomes American Sub 13640 A=0.90609 C=0.09391
gnomAD - Genomes Ashkenazi Jewish Sub 3324 A=0.9203 C=0.0797
gnomAD - Genomes East Asian Sub 3118 A=0.9990 C=0.0010
gnomAD - Genomes Other Sub 2152 A=0.8959 C=0.1041
ExAC Global Study-wide 121398 A=0.911366 C=0.088634
ExAC Europe Sub 73346 A=0.88134 C=0.11866
ExAC Asian Sub 25166 A=0.98148 C=0.01852
ExAC American Sub 11578 A=0.93557 C=0.06443
ExAC African Sub 10402 A=0.92703 C=0.07297
ExAC Other Sub 906 A=0.905 C=0.095
The PAGE Study Global Study-wide 78698 A=0.92767 C=0.07233
The PAGE Study AfricanAmerican Sub 32516 A=0.92471 C=0.07529
The PAGE Study Mexican Sub 10808 A=0.92811 C=0.07189
The PAGE Study Asian Sub 8318 A=0.9989 C=0.0011
The PAGE Study PuertoRican Sub 7916 A=0.8898 C=0.1102
The PAGE Study NativeHawaiian Sub 4534 A=0.9614 C=0.0386
The PAGE Study Cuban Sub 4230 A=0.8752 C=0.1248
The PAGE Study Dominican Sub 3828 A=0.8895 C=0.1105
The PAGE Study CentralAmerican Sub 2450 A=0.9286 C=0.0714
The PAGE Study SouthAmerican Sub 1982 A=0.9304 C=0.0696
The PAGE Study NativeAmerican Sub 1260 A=0.8984 C=0.1016
The PAGE Study SouthAsian Sub 856 A=0.978 C=0.022
Allele Frequency Aggregator Total Global 42464 A=0.89061 C=0.10939
Allele Frequency Aggregator European Sub 30282 A=0.87894 C=0.12106
Allele Frequency Aggregator African Sub 7340 A=0.9289 C=0.0711
Allele Frequency Aggregator Other Sub 3686 A=0.8958 C=0.1042
Allele Frequency Aggregator Latin American 2 Sub 670 A=0.919 C=0.081
Allele Frequency Aggregator Asian Sub 214 A=0.995 C=0.005
Allele Frequency Aggregator Latin American 1 Sub 168 A=0.929 C=0.071
Allele Frequency Aggregator South Asian Sub 104 A=0.942 C=0.058
14KJPN JAPANESE Study-wide 28258 A=0.99996 C=0.00004
8.3KJPN JAPANESE Study-wide 16760 A=0.99994 C=0.00006
GO Exome Sequencing Project Global Study-wide 13006 A=0.88821 C=0.11179
GO Exome Sequencing Project European American Sub 8600 A=0.8720 C=0.1280
GO Exome Sequencing Project African American Sub 4406 A=0.9199 C=0.0801
1000Genomes_30x Global Study-wide 6404 A=0.9394 C=0.0606
1000Genomes_30x African Sub 1786 A=0.9311 C=0.0689
1000Genomes_30x Europe Sub 1266 A=0.8712 C=0.1288
1000Genomes_30x South Asian Sub 1202 A=0.9809 C=0.0191
1000Genomes_30x East Asian Sub 1170 A=1.0000 C=0.0000
1000Genomes_30x American Sub 980 A=0.919 C=0.081
1000Genomes Global Study-wide 5008 A=0.9409 C=0.0591
1000Genomes African Sub 1322 A=0.9289 C=0.0711
1000Genomes East Asian Sub 1008 A=1.0000 C=0.0000
1000Genomes Europe Sub 1006 A=0.8708 C=0.1292
1000Genomes South Asian Sub 978 A=0.985 C=0.015
1000Genomes American Sub 694 A=0.918 C=0.082
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.8801 C=0.1199
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.8485 C=0.1515
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.8595 C=0.1405
Korean Genome Project KOREAN Study-wide 1832 A=0.9989 C=0.0011
HapMap Global Study-wide 1458 A=0.8978 C=0.1022
HapMap African Sub 692 A=0.868 C=0.132
HapMap American Sub 502 A=0.920 C=0.080
HapMap Europe Sub 176 A=0.898 C=0.102
HapMap Asian Sub 88 A=1.00 C=0.00
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.865 C=0.135
CNV burdens in cranial meningiomas Global Study-wide 792 A=0.990 C=0.010
CNV burdens in cranial meningiomas CRM Sub 792 A=0.990 C=0.010
Northern Sweden ACPOP Study-wide 600 A=0.950 C=0.050
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 A=0.837 C=0.163
FINRISK Finnish from FINRISK project Study-wide 304 A=0.914 C=0.086
Qatari Global Study-wide 216 A=0.931 C=0.069
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 72 A=0.92 C=0.08
SGDP_PRJ Global Study-wide 48 A=0.48 C=0.52
The Danish reference pan genome Danish Study-wide 40 A=0.93 C=0.07
Siberian Global Study-wide 10 A=0.4 C=0.6
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 20 NC_000020.11:g.3213247A>C
GRCh37.p13 chr 20 NC_000020.10:g.3193893A>C
ITPA RefSeqGene NG_012093.2:g.9381A>C
Gene: ITPA, inosine triphosphatase (plus strand)
Molecule type Change Amino acid[Codon] SO Term
ITPA transcript variant 3 NM_001267623.2:c.67-738A>C N/A Intron Variant
ITPA transcript variant 7 NM_001324236.2:c.-274-11A…

NM_001324236.2:c.-274-11A>C

N/A Intron Variant
ITPA transcript variant 8 NM_001324237.2:c.-214+21A…

NM_001324237.2:c.-214+21A>C

N/A Intron Variant
ITPA transcript variant 9 NM_001324238.2:c.-274-11A…

NM_001324238.2:c.-274-11A>C

N/A Intron Variant
ITPA transcript variant 10 NM_001324240.2:c.124+21A>C N/A Intron Variant
ITPA transcript variant 5 NM_001351739.2:c.-274-11A…

NM_001351739.2:c.-274-11A>C

N/A Intron Variant
ITPA transcript variant 1 NM_033453.4:c.124+21A>C N/A Intron Variant
ITPA transcript variant 2 NM_181493.4:c.73+21A>C N/A Intron Variant
ITPA transcript variant 4 NR_052000.2:n. N/A Intron Variant
ITPA transcript variant 6 NR_052002.2:n. N/A Intron Variant
ITPA transcript variant X2 XM_006723564.4:c.124+21A>C N/A Intron Variant
ITPA transcript variant X4 XM_006723565.4:c.67-738A>C N/A Intron Variant
ITPA transcript variant X5 XM_011529234.3:c.124+21A>C N/A Intron Variant
ITPA transcript variant X1 XM_047440139.1:c.250+21A>C N/A Intron Variant
ITPA transcript variant X3 XM_047440140.1:c.250+21A>C N/A Intron 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: C (allele ID: 29786 )
ClinVar Accession Disease Names Clinical Significance
RCV000015868.31 Inosine triphosphatase deficiency Benign
RCV001675581.3 not provided Benign
RCV001730474.3 Developmental and epileptic encephalopathy, 35 Benign
RCV001787329.2 peginterferon alfa-2b and ribavirin response - Toxicity Drug-Response
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 A= C
GRCh38.p14 chr 20 NC_000020.11:g.3213247= NC_000020.11:g.3213247A>C
GRCh37.p13 chr 20 NC_000020.10:g.3193893= NC_000020.10:g.3193893A>C
ITPA RefSeqGene NG_012093.2:g.9381= NG_012093.2:g.9381A>C
ITPA transcript variant 3 NM_001267623.1:c.67-738= NM_001267623.1:c.67-738A>C
ITPA transcript variant 3 NM_001267623.2:c.67-738= NM_001267623.2:c.67-738A>C
ITPA transcript variant 7 NM_001324236.2:c.-274-11= NM_001324236.2:c.-274-11A>C
ITPA transcript variant 8 NM_001324237.2:c.-214+21= NM_001324237.2:c.-214+21A>C
ITPA transcript variant 9 NM_001324238.2:c.-274-11= NM_001324238.2:c.-274-11A>C
ITPA transcript variant 10 NM_001324240.2:c.124+21= NM_001324240.2:c.124+21A>C
ITPA transcript variant 5 NM_001351739.2:c.-274-11= NM_001351739.2:c.-274-11A>C
ITPA transcript variant 1 NM_033453.3:c.124+21= NM_033453.3:c.124+21A>C
ITPA transcript variant 1 NM_033453.4:c.124+21= NM_033453.4:c.124+21A>C
ITPA transcript variant 2 NM_181493.2:c.73+21= NM_181493.2:c.73+21A>C
ITPA transcript variant 2 NM_181493.4:c.73+21= NM_181493.4:c.73+21A>C
ITPA transcript variant X2 XM_006723564.4:c.124+21= XM_006723564.4:c.124+21A>C
ITPA transcript variant X4 XM_006723565.4:c.67-738= XM_006723565.4:c.67-738A>C
ITPA transcript variant X5 XM_011529234.3:c.124+21= XM_011529234.3:c.124+21A>C
ITPA transcript variant X1 XM_047440139.1:c.250+21= XM_047440139.1:c.250+21A>C
ITPA transcript variant X3 XM_047440140.1:c.250+21= XM_047440140.1:c.250+21A>C
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#.

91 SubSNP, 26 Frequency, 4 ClinVar submissions
No Submitter Submission ID Date (Build)
1 BCM_SSAHASNP ss10963718 Jul 11, 2003 (116)
2 PERLEGEN ss69233686 May 18, 2007 (127)
3 ILLUMINA ss75032662 Dec 06, 2007 (129)
4 KRIBB_YJKIM ss119550022 Dec 01, 2009 (131)
5 ILLUMINA ss174316302 Jul 04, 2010 (132)
6 1000GENOMES ss228224676 Jul 14, 2010 (132)
7 1000GENOMES ss237740033 Jul 15, 2010 (132)
8 1000GENOMES ss491171456 May 04, 2012 (137)
9 CLINSEQ_SNP ss491805253 May 04, 2012 (137)
10 ILLUMINA ss535826485 Sep 08, 2015 (146)
11 TISHKOFF ss566099653 Apr 25, 2013 (138)
12 NHLBI-ESP ss713555229 Apr 25, 2013 (138)
13 JMKIDD_LAB ss974508717 Aug 21, 2014 (142)
14 EVA-GONL ss994482441 Aug 21, 2014 (142)
15 JMKIDD_LAB ss1067595789 Aug 21, 2014 (142)
16 JMKIDD_LAB ss1082028493 Aug 21, 2014 (142)
17 1000GENOMES ss1363858249 Aug 21, 2014 (142)
18 OMIM-CURATED-RECORDS ss1505810942 Dec 08, 2014 (142)
19 EVA_GENOME_DK ss1579413142 Apr 01, 2015 (144)
20 EVA_FINRISK ss1584121404 Apr 01, 2015 (144)
21 EVA_UK10K_ALSPAC ss1638299824 Apr 01, 2015 (144)
22 EVA_UK10K_TWINSUK ss1681293857 Apr 01, 2015 (144)
23 EVA_EXAC ss1693884931 Apr 01, 2015 (144)
24 EVA_DECODE ss1698536743 Apr 01, 2015 (144)
25 EVA_MGP ss1711532061 Apr 01, 2015 (144)
26 EVA_SVP ss1713674685 Apr 01, 2015 (144)
27 HAMMER_LAB ss1809396274 Sep 08, 2015 (146)
28 WEILL_CORNELL_DGM ss1937991373 Feb 12, 2016 (147)
29 ILLUMINA ss1959893396 Feb 12, 2016 (147)
30 JJLAB ss2029772456 Sep 14, 2016 (149)
31 USC_VALOUEV ss2158326476 Dec 20, 2016 (150)
32 HUMAN_LONGEVITY ss2240900326 Dec 20, 2016 (150)
33 GNOMAD ss2744435005 Nov 08, 2017 (151)
34 GNOMAD ss2750330009 Nov 08, 2017 (151)
35 GNOMAD ss2964857650 Nov 08, 2017 (151)
36 AFFY ss2985207991 Nov 08, 2017 (151)
37 AFFY ss2985828655 Nov 08, 2017 (151)
38 SWEGEN ss3017782673 Nov 08, 2017 (151)
39 ILLUMINA ss3022095457 Nov 08, 2017 (151)
40 BIOINF_KMB_FNS_UNIBA ss3028718193 Nov 08, 2017 (151)
41 CSHL ss3352392313 Nov 08, 2017 (151)
42 ILLUMINA ss3628337516 Oct 12, 2018 (152)
43 ILLUMINA ss3638331304 Oct 12, 2018 (152)
44 ILLUMINA ss3643295104 Oct 12, 2018 (152)
45 OMUKHERJEE_ADBS ss3646545565 Oct 12, 2018 (152)
46 ILLUMINA ss3652549564 Oct 12, 2018 (152)
47 ILLUMINA ss3653976218 Oct 12, 2018 (152)
48 EGCUT_WGS ss3684496232 Jul 13, 2019 (153)
49 EVA_DECODE ss3706453350 Jul 13, 2019 (153)
50 ILLUMINA ss3725895152 Jul 13, 2019 (153)
51 ACPOP ss3743200986 Jul 13, 2019 (153)
52 EVA ss3758356792 Jul 13, 2019 (153)
53 PAGE_CC ss3772032376 Jul 13, 2019 (153)
54 PACBIO ss3788584585 Jul 13, 2019 (153)
55 PACBIO ss3793487056 Jul 13, 2019 (153)
56 PACBIO ss3798374184 Jul 13, 2019 (153)
57 KHV_HUMAN_GENOMES ss3821528429 Jul 13, 2019 (153)
58 EVA ss3825346750 Apr 27, 2020 (154)
59 EVA ss3825947525 Apr 27, 2020 (154)
60 EVA ss3835558652 Apr 27, 2020 (154)
61 EVA ss3841402953 Apr 27, 2020 (154)
62 EVA ss3846910349 Apr 27, 2020 (154)
63 SGDP_PRJ ss3888621114 Apr 27, 2020 (154)
64 KOGIC ss3981725937 Apr 27, 2020 (154)
65 FSA-LAB ss3984211401 Apr 27, 2021 (155)
66 EVA ss3984745912 Apr 27, 2021 (155)
67 EVA ss3985863589 Apr 27, 2021 (155)
68 EVA ss3986821525 Apr 27, 2021 (155)
69 EVA ss4017834562 Apr 27, 2021 (155)
70 TOPMED ss5080503850 Apr 27, 2021 (155)
71 TOMMO_GENOMICS ss5228610070 Apr 27, 2021 (155)
72 EVA ss5237250714 Apr 27, 2021 (155)
73 EVA ss5237600901 Apr 27, 2021 (155)
74 1000G_HIGH_COVERAGE ss5307903035 Oct 13, 2022 (156)
75 EVA ss5435928613 Oct 13, 2022 (156)
76 HUGCELL_USP ss5500321108 Oct 13, 2022 (156)
77 1000G_HIGH_COVERAGE ss5613896187 Oct 13, 2022 (156)
78 EVA ss5624111318 Oct 13, 2022 (156)
79 SANFORD_IMAGENETICS ss5624478851 Oct 13, 2022 (156)
80 SANFORD_IMAGENETICS ss5662758741 Oct 13, 2022 (156)
81 TOMMO_GENOMICS ss5787532977 Oct 13, 2022 (156)
82 EVA ss5799404805 Oct 13, 2022 (156)
83 EVA ss5799466081 Oct 13, 2022 (156)
84 EVA ss5845370697 Oct 13, 2022 (156)
85 EVA ss5847501119 Oct 13, 2022 (156)
86 EVA ss5847912322 Oct 13, 2022 (156)
87 EVA ss5848542675 Oct 13, 2022 (156)
88 EVA ss5922465485 Oct 13, 2022 (156)
89 EVA ss5957656558 Oct 13, 2022 (156)
90 EVA ss5979608213 Oct 13, 2022 (156)
91 EVA ss5981315881 Oct 13, 2022 (156)
92 1000Genomes NC_000020.10 - 3193893 Oct 12, 2018 (152)
93 1000Genomes_30x NC_000020.11 - 3213247 Oct 13, 2022 (156)
94 The Avon Longitudinal Study of Parents and Children NC_000020.10 - 3193893 Oct 12, 2018 (152)
95 Genetic variation in the Estonian population NC_000020.10 - 3193893 Oct 12, 2018 (152)
96 ExAC NC_000020.10 - 3193893 Oct 12, 2018 (152)
97 FINRISK NC_000020.10 - 3193893 Apr 27, 2020 (154)
98 The Danish reference pan genome NC_000020.10 - 3193893 Apr 27, 2020 (154)
99 gnomAD - Genomes NC_000020.11 - 3213247 Apr 27, 2021 (155)
100 gnomAD - Exomes NC_000020.10 - 3193893 Jul 13, 2019 (153)
101 GO Exome Sequencing Project NC_000020.10 - 3193893 Oct 12, 2018 (152)
102 Genome of the Netherlands Release 5 NC_000020.10 - 3193893 Apr 27, 2020 (154)
103 HapMap NC_000020.11 - 3213247 Apr 27, 2020 (154)
104 Korean Genome Project NC_000020.11 - 3213247 Apr 27, 2020 (154)
105 Medical Genome Project healthy controls from Spanish population NC_000020.10 - 3193893 Apr 27, 2020 (154)
106 Northern Sweden NC_000020.10 - 3193893 Jul 13, 2019 (153)
107 The PAGE Study NC_000020.11 - 3213247 Jul 13, 2019 (153)
108 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000020.10 - 3193893 Apr 27, 2021 (155)
109 CNV burdens in cranial meningiomas NC_000020.10 - 3193893 Apr 27, 2021 (155)
110 Qatari NC_000020.10 - 3193893 Apr 27, 2020 (154)
111 SGDP_PRJ NC_000020.10 - 3193893 Apr 27, 2020 (154)
112 Siberian NC_000020.10 - 3193893 Apr 27, 2020 (154)
113 8.3KJPN NC_000020.10 - 3193893 Apr 27, 2021 (155)
114 14KJPN NC_000020.11 - 3213247 Oct 13, 2022 (156)
115 TopMed NC_000020.11 - 3213247 Apr 27, 2021 (155)
116 UK 10K study - Twins NC_000020.10 - 3193893 Oct 12, 2018 (152)
117 ALFA NC_000020.11 - 3213247 Apr 27, 2021 (155)
118 ClinVar RCV000015868.31 Oct 13, 2022 (156)
119 ClinVar RCV001675581.3 Oct 13, 2022 (156)
120 ClinVar RCV001730474.3 Oct 13, 2022 (156)
121 ClinVar RCV001787329.2 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).

Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss491805253, ss1698536743, ss1713674685, ss3643295104 NC_000020.9:3141892:A:C NC_000020.11:3213246:A:C (self)
77290328, 42781297, 30234480, 5431343, 117865, 5578081, 13752763, 1803680, 19062169, 647821, 16485851, 1089516, 295478, 20033295, 40638094, 10842830, 86579377, 42781297, ss228224676, ss237740033, ss491171456, ss535826485, ss566099653, ss713555229, ss974508717, ss994482441, ss1067595789, ss1082028493, ss1363858249, ss1579413142, ss1584121404, ss1638299824, ss1681293857, ss1693884931, ss1711532061, ss1809396274, ss1937991373, ss1959893396, ss2029772456, ss2158326476, ss2744435005, ss2750330009, ss2964857650, ss2985207991, ss2985828655, ss3017782673, ss3022095457, ss3352392313, ss3628337516, ss3638331304, ss3646545565, ss3652549564, ss3653976218, ss3684496232, ss3743200986, ss3758356792, ss3788584585, ss3793487056, ss3798374184, ss3825346750, ss3825947525, ss3835558652, ss3841402953, ss3888621114, ss3984211401, ss3984745912, ss3985863589, ss3986821525, ss4017834562, ss5228610070, ss5237600901, ss5435928613, ss5624111318, ss5624478851, ss5662758741, ss5799404805, ss5799466081, ss5845370697, ss5847501119, ss5847912322, ss5848542675, ss5957656558, ss5979608213, ss5981315881 NC_000020.10:3193892:A:C NC_000020.11:3213246:A:C (self)
RCV000015868.31, RCV001675581.3, RCV001730474.3, RCV001787329.2, 101422122, 545023535, 2054283, 38103938, 1253845, 121370081, 355612795, 13814508750, ss1505810942, ss2240900326, ss3028718193, ss3706453350, ss3725895152, ss3772032376, ss3821528429, ss3846910349, ss3981725937, ss5080503850, ss5237250714, ss5307903035, ss5500321108, ss5613896187, ss5787532977, ss5922465485 NC_000020.11:3213246:A:C NC_000020.11:3213246:A:C (self)
ss10963718, ss69233686, ss75032662, ss119550022, ss174316302 NT_011387.8:3133892:A:C NC_000020.11:3213246:A:C (self)
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Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

55 citations for rs7270101
PMID Title Author Year Journal
12384777 Genetic basis of inosine triphosphate pyrophosphohydrolase deficiency. Sumi S et al. 2002 Human genetics
18662289 Pharmacogenomic studies of the anticancer and immunosuppressive thiopurines mercaptopurine and azathioprine. Hawwa AF et al. 2008 British journal of clinical pharmacology
20547162 Variants in the ITPA gene protect against ribavirin-induced hemolytic anemia and decrease the need for ribavirin dose reduction. Thompson AJ et al. 2010 Gastroenterology
20637204 ITPA polymorphism affects ribavirin-induced anemia and outcomes of therapy--a genome-wide study of Japanese HCV virus patients. Ochi H et al. 2010 Gastroenterology
21274861 Inosine triphosphatase genetic variants are protective against anemia during antiviral therapy for HCV2/3 but do not decrease dose reductions of RBV or increase SVR. Thompson AJ et al. 2011 Hepatology (Baltimore, Md.)
21345258 Prospects for personalizing antiviral therapy for hepatitis C virus with pharmacogenetics. Tavis JE et al. 2011 Genome medicine
21395650 Determinants of mercaptopurine toxicity in paediatric acute lymphoblastic leukemia maintenance therapy. Adam de Beaumais T et al. 2011 British journal of clinical pharmacology
21703177 Genome-wide association study of interferon-related cytopenia in chronic hepatitis C patients. Thompson AJ et al. 2012 Journal of hepatology
22028438 Impact of inosine triphosphatase gene variants on the risk of anemia in HIV/hepatitis C virus-coinfected patients treated for chronic hepatitis C. Rallón NI et al. 2011 Clinical infectious diseases
22118055 Single and combined IL28B, ITPA and SLC28A3 host genetic markers modulating response to anti-hepatitis C therapy. Lötsch J et al. 2011 Pharmacogenomics
22158703 Variants in the ITPA gene protect against ribavirin-induced hemolytic anemia in HIV/HCV-coinfected patients with all HCV genotypes. Naggie S et al. 2012 The Journal of infectious diseases
22406654 Inosine triphosphatase polymorphisms and ribavirin pharmacokinetics as determinants of ribavirin-associate anemia in patients receiving standard anti-HCV treatment. DʼAvolio A et al. 2012 Therapeutic drug monitoring
22430973 Association of ITPA gene polymorphisms and the risk of ribavirin-induced anemia in HIV/hepatitis C virus (HCV)-coinfected patients receiving HCV combination therapy. Domingo P et al. 2012 Antimicrobial agents and chemotherapy
22584257 Genetic variants at the ITPA locus protect against ribavirin-induced hemolytic anemia and dose reduction in an HCV G2/G3 cohort. Eskesen AN et al. 2012 European journal of gastroenterology & hepatology
22585729 ITPA gene polymorphisms significantly affect hemoglobin decline and treatment outcomes in patients coinfected with HIV and HCV. Osinusi A et al. 2012 Journal of medical virology
22613675 Comparison of three different methods for the evaluation of IL28 and ITPA polymorphisms in patients infected with HCV. Fiorina L et al. 2012 Journal of virological methods
22992668 Pharmacogenomics knowledge for personalized medicine. Whirl-Carrillo M et al. 2012 Clinical pharmacology and therapeutics
23133602 Pharmacogenetics of efficacy and safety of HCV treatment in HCV-HIV coinfected patients: significant associations with IL28B and SOCS3 gene variants. Vidal F et al. 2012 PloS one
23201294 Allelic inhibition of displacement activity: a simplified one tube allele-specific PCR for evaluation of ITPA polymorphisms. Galmozzi E et al. 2013 Journal of virological methods
23850877 Effect of gender and ITPA polymorphisms on ribavirin-induced anemia in chronic hepatitis C patients. Scherzer TM et al. 2013 Journal of hepatology
23919217 Association of ITPA polymorphism with outcomes of peginterferon-α plus ribavirin combination therapy. Fujino T et al. 2013 World journal of gastrointestinal pharmacology and therapeutics
24449403 ITPA genotype protects against anemia during peginterferon and ribavirin therapy but does not influence virological response. Holmes JA et al. 2014 Hepatology (Baltimore, Md.)
24519039 Variants of the inosine triphosphate pyrophosphatase gene are associated with reduced relapse risk following treatment for HCV genotype 2/3. Rembeck K et al. 2014 Hepatology (Baltimore, Md.)
24659876 Individualization of chronic hepatitis C treatment according to the host characteristics. Gatselis NK et al. 2014 World journal of gastroenterology
24841973 Distribution of genetic polymorphisms associated with hepatitis C virus (HCV) antiviral response in a multiethnic and admixed population. Trinks J et al. 2014 The pharmacogenomics journal
25303517 Association of ITPA genotype with event-free survival and relapse rates in children with acute lymphoblastic leukemia undergoing maintenance therapy. Smid A et al. 2014 PloS one
26071337 Role of ITPA and SLC28A2 genes in the prediction of anaemia associated with protease inhibitor plus ribavirin and peginterferon in hepatitis C treatment. Ampuero J et al. 2015 Journal of clinical virology
26154744 Inosine triphosphatase allele frequency and association with ribavirin-induced anaemia in Brazilian patients receiving antiviral therapy for chronic hepatitis C. Delvaux N et al. 2015 Memorias do Instituto Oswaldo Cruz
26418670 Short interferon and ribavirin treatment for HCV genotype 2 or 3 infection: NORDynamIC trial and real-life experience. Waldenström J et al. 2016 Scandinavian journal of gastroenterology
26438033 Relationship between ITPA polymorphisms and hemolytic anemia in HCV-infected patients after ribavirin-based therapy: a meta-analysis. Pineda-Tenor D et al. 2015 Journal of translational medicine
26441325 ITPA Polymorphisms Are Associated with Hematological Side Effects during Antiviral Therapy for Chronic HCV Infection. Maan R et al. 2015 PloS one
26670100 Impact of IL28B, APOH and ITPA Polymorphisms on Efficacy and Safety of TVR- or BOC-Based Triple Therapy in Treatment-Experienced HCV-1 Patients with Compensated Cirrhosis from the ANRS CO20-CUPIC Study. About F et al. 2015 PloS one
26933517 Modeling Ribavirin-Induced Anemia in Patients with Chronic Hepatitis C Virus. Wu LS et al. 2016 CPT
27148387 The ITPA and C20orf194 Polymorphisms and Hematological Changes During Treatment With Pegylated-Interferon Plus Ribavirin in Patients With Chronic Hepatitis C. Pouryasin M et al. 2016 Hepatitis monthly
27307154 A Simple Method for TPMT and ITPA Genotyping Using Multiplex HRMA for Patients Treated with Thiopurine Drugs. Skrzypczak-Zielinska M et al. 2016 Molecular diagnosis & therapy
27452984 PACSIN2 polymorphism is associated with thiopurine-induced hematological toxicity in children with acute lymphoblastic leukaemia undergoing maintenance therapy. Smid A et al. 2016 Scientific reports
27770805 A disease spectrum for ITPA variation: advances in biochemical and clinical research. Burgis NE et al. 2016 Journal of biomedical science
27792682 Inosine Triphosphate Pyrophosphohydrolase Expression: Decreased in Leukocytes of HIV-Infected Patients Using Combination Antiretroviral Therapy. Peltenburg NC et al. 2016 Journal of acquired immune deficiency syndromes (1999)
27917361 IL28B genotype is associated with cirrhosis or transition to cirrhosis in treatment-naive patients with chronic HCV genotype 1 infection: the international observational Gen-C study. Mangia A et al. 2016 SpringerPlus
28165327 ITPase activity modulates the severity of anaemia in HCV-related cirrhosis treated with ribavirin-containing interferon-free regimens. Coppola N et al. 2017 Antiviral therapy
28233743 High Prevalence of ITPA Alleles Associated with Ribavirin-Induced Hemolytic Anemia Among Mexican Population. Gonzalez-Aldaco K et al. 2017 Annals of hepatology
28543275 The role of ITPA and ribavirin transporter genes polymorphisms in prediction of ribavirin-induced anaemia in chronic hepatitis C Egyptian patients. El Desoky ES et al. 2017 Clinical and experimental pharmacology & physiology
28723780 The relationship between ITPA rs1127354 polymorphisms and efficacy of antiviral treatment in Northeast Chinese CHC patients. Liu Z et al. 2017 Medicine
29308621 The rs1127354 Polymorphism in ITPA Is Associated with Susceptibility to Infertility. Mollaahmadi F et al. 2018 Cell journal
29329318 Erythrocyte Inosine triphosphatase activity: A potential biomarker for adverse events during combination antiretroviral therapy for HIV. Peltenburg NC et al. 2018 PloS one
29660762 A facile PCR-RFLP method for genotyping of ITPA rs1127354 and rs7270101 polymorphisms. Alavian SE et al. 2018 Journal of clinical laboratory analysis
30304447 Metabolic events in HIV-infected patients using abacavir are associated with erythrocyte inosine triphosphatase activity. Peltenburg NC et al. 2019 The Journal of antimicrobial chemotherapy
30817703 Tolerability of Erythrocyte Ribavirin Triphosphate Concentrations Depends on the ITPA Genotype. Tanaka Y et al. 2019 Therapeutic drug monitoring
31153415
31507415 ITPA, TPMT, and NUDT15 Genetic Polymorphisms Predict 6-Mercaptopurine Toxicity in Middle Eastern Children With Acute Lymphoblastic Leukemia. Moradveisi B et al. 2019 Frontiers in pharmacology
31556692 NUDT15 and TPMT Genetic Polymorphisms Are Related to Azathioprine Intolerance in Chinese Patients with Rheumatic Diseases. Yang J et al. 2019 Genetic testing and molecular biomarkers
31639757 Retrospective Data Analysis of the Influence of Age and Sex on TPMT Activity and Its Phenotype-Genotype Correlation. Wu F et al. 2019 The journal of applied laboratory medicine
33804051 The Effect of NUDT15, TPMT, APEX1, and ITPA Genetic Variations on Mercaptopurine Treatment of Pediatric Acute Lymphoblastic Leukemia. Lee JM et al. 2021 Children (Basel, Switzerland)
34034600 Absence of interferon-λ 4 enhances spontaneous clearance of acute hepatitis C virus genotypes 1-3 infection. Waldenström J et al. 2021 Scandinavian journal of gastroenterology
35034963 Association of ITPA gene polymorphisms with adverse effects of AZA/6-MP administration: a systematic review and meta-analysis. Barba E et al. 2022 The pharmacogenomics journal
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The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

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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).
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