Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

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.

rs1127354

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr20:3213196 (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>A / C>G / C>T
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.061321 (16231/264690, TOPMED)
A=0.075199 (18912/251492, GnomAD_exome)
A=0.074709 (17632/236010, ALFA) (+ 22 more)
A=0.061045 (8558/140192, GnomAD)
A=0.077097 (9360/121406, ExAC)
A=0.05773 (4543/78700, PAGE_STUDY)
A=0.14683 (4149/28258, 14KJPN)
A=0.14624 (2451/16760, 8.3KJPN)
A=0.0874 (560/6404, 1000G_30x)
A=0.0895 (448/5008, 1000G)
A=0.0855 (383/4480, Estonian)
A=0.0695 (268/3854, ALSPAC)
A=0.0685 (254/3708, TWINSUK)
A=0.0240 (79/3290, PRJNA289433)
A=0.1372 (401/2922, KOREAN)
A=0.061 (61/998, GoNL)
A=0.128 (101/792, PRJEB37584)
A=0.199 (122/614, Vietnamese)
A=0.068 (41/600, NorthernSweden)
A=0.058 (31/534, MGP)
A=0.072 (22/304, FINRISK)
A=0.028 (6/216, Qatari)
C=0.42 (31/74, SGDP_PRJ)
C=0.5 (3/6, Siberian)
A=0.5 (3/6, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
ITPA : Missense Variant
Publications
117 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 252514 C=0.926166 A=0.073834
European Sub 206872 C=0.926805 A=0.073195
African Sub 10676 C=0.95654 A=0.04346
African Others Sub 378 C=0.952 A=0.048
African American Sub 10298 C=0.95669 A=0.04331
Asian Sub 6666 C=0.8464 A=0.1536
East Asian Sub 4782 C=0.8400 A=0.1600
Other Asian Sub 1884 C=0.8625 A=0.1375
Latin American 1 Sub 926 C=0.941 A=0.059
Latin American 2 Sub 5316 C=0.9691 A=0.0309
South Asian Sub 330 C=0.900 A=0.100
Other Sub 21728 C=0.91891 A=0.08109


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 C=0.938679 A=0.061321
gnomAD - Exomes Global Study-wide 251492 C=0.924801 A=0.075199
gnomAD - Exomes European Sub 135416 C=0.932106 A=0.067894
gnomAD - Exomes Asian Sub 49008 C=0.86043 A=0.13957
gnomAD - Exomes American Sub 34592 C=0.97343 A=0.02657
gnomAD - Exomes African Sub 16256 C=0.95448 A=0.04552
gnomAD - Exomes Ashkenazi Jewish Sub 10080 C=0.92748 A=0.07252
gnomAD - Exomes Other Sub 6140 C=0.9205 A=0.0795
Allele Frequency Aggregator Total Global 236010 C=0.925291 A=0.074709
Allele Frequency Aggregator European Sub 196658 C=0.926639 A=0.073361
Allele Frequency Aggregator Other Sub 20276 C=0.91778 A=0.08222
Allele Frequency Aggregator Asian Sub 6666 C=0.8464 A=0.1536
Allele Frequency Aggregator African Sub 5838 C=0.9551 A=0.0449
Allele Frequency Aggregator Latin American 2 Sub 5316 C=0.9691 A=0.0309
Allele Frequency Aggregator Latin American 1 Sub 926 C=0.941 A=0.059
Allele Frequency Aggregator South Asian Sub 330 C=0.900 A=0.100
gnomAD - Genomes Global Study-wide 140192 C=0.938955 A=0.061045
gnomAD - Genomes European Sub 75922 C=0.93026 A=0.06974
gnomAD - Genomes African Sub 42030 C=0.95560 A=0.04440
gnomAD - Genomes American Sub 13642 C=0.96357 A=0.03643
gnomAD - Genomes Ashkenazi Jewish Sub 3322 C=0.9311 A=0.0689
gnomAD - Genomes East Asian Sub 3124 C=0.8223 A=0.1777
gnomAD - Genomes Other Sub 2152 C=0.9461 A=0.0539
ExAC Global Study-wide 121406 C=0.922903 A=0.077097
ExAC Europe Sub 73352 C=0.93053 A=0.06947
ExAC Asian Sub 25162 C=0.86392 A=0.13608
ExAC American Sub 11578 C=0.97357 A=0.02643
ExAC African Sub 10406 C=0.95483 A=0.04517
ExAC Other Sub 908 C=0.930 A=0.070
The PAGE Study Global Study-wide 78700 C=0.94227 A=0.05773
The PAGE Study AfricanAmerican Sub 32516 C=0.95547 A=0.04453
The PAGE Study Mexican Sub 10808 C=0.96586 A=0.03414
The PAGE Study Asian Sub 8318 C=0.8424 A=0.1576
The PAGE Study PuertoRican Sub 7918 C=0.9578 A=0.0422
The PAGE Study NativeHawaiian Sub 4534 C=0.9294 A=0.0706
The PAGE Study Cuban Sub 4230 C=0.9414 A=0.0586
The PAGE Study Dominican Sub 3828 C=0.9475 A=0.0525
The PAGE Study CentralAmerican Sub 2450 C=0.9633 A=0.0367
The PAGE Study SouthAmerican Sub 1982 C=0.9677 A=0.0323
The PAGE Study NativeAmerican Sub 1260 C=0.9484 A=0.0516
The PAGE Study SouthAsian Sub 856 C=0.891 A=0.109
14KJPN JAPANESE Study-wide 28258 C=0.85317 A=0.14683
8.3KJPN JAPANESE Study-wide 16760 C=0.85376 A=0.14624
1000Genomes_30x Global Study-wide 6404 C=0.9126 A=0.0874
1000Genomes_30x African Sub 1786 C=0.9558 A=0.0442
1000Genomes_30x Europe Sub 1266 C=0.9281 A=0.0719
1000Genomes_30x South Asian Sub 1202 C=0.8819 A=0.1181
1000Genomes_30x East Asian Sub 1170 C=0.8231 A=0.1769
1000Genomes_30x American Sub 980 C=0.958 A=0.042
1000Genomes Global Study-wide 5008 C=0.9105 A=0.0895
1000Genomes African Sub 1322 C=0.9554 A=0.0446
1000Genomes East Asian Sub 1008 C=0.8313 A=0.1687
1000Genomes Europe Sub 1006 C=0.9294 A=0.0706
1000Genomes South Asian Sub 978 C=0.878 A=0.122
1000Genomes American Sub 694 C=0.958 A=0.042
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.9145 A=0.0855
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.9305 A=0.0695
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.9315 A=0.0685
MxGDAR/Encodat-PGx Global Study-wide 3290 C=0.9760 A=0.0240
MxGDAR/Encodat-PGx MxGDAR Sub 3290 C=0.9760 A=0.0240
KOREAN population from KRGDB KOREAN Study-wide 2922 C=0.8628 A=0.1372
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.939 A=0.061
CNV burdens in cranial meningiomas Global Study-wide 792 C=0.872 A=0.128
CNV burdens in cranial meningiomas CRM Sub 792 C=0.872 A=0.128
A Vietnamese Genetic Variation Database Global Study-wide 614 C=0.801 A=0.199
Northern Sweden ACPOP Study-wide 600 C=0.932 A=0.068
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 C=0.942 A=0.058
FINRISK Finnish from FINRISK project Study-wide 304 C=0.928 A=0.072
Qatari Global Study-wide 216 C=0.972 A=0.028
SGDP_PRJ Global Study-wide 74 C=0.42 A=0.58
Siberian Global Study-wide 6 C=0.5 A=0.5
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.3213196C>A
GRCh38.p14 chr 20 NC_000020.11:g.3213196C>G
GRCh38.p14 chr 20 NC_000020.11:g.3213196C>T
GRCh37.p13 chr 20 NC_000020.10:g.3193842C>A
GRCh37.p13 chr 20 NC_000020.10:g.3193842C>G
GRCh37.p13 chr 20 NC_000020.10:g.3193842C>T
ITPA RefSeqGene NG_012093.2:g.9330C>A
ITPA RefSeqGene NG_012093.2:g.9330C>G
ITPA RefSeqGene NG_012093.2:g.9330C>T
Gene: ITPA, inosine triphosphatase (plus strand)
Molecule type Change Amino acid[Codon] SO Term
ITPA transcript variant 3 NM_001267623.2:c.67-789C>A N/A Intron Variant
ITPA transcript variant 7 NM_001324236.2:c.-274-62C…

NM_001324236.2:c.-274-62C>A

N/A Intron Variant
ITPA transcript variant 9 NM_001324238.2:c.-274-62C…

NM_001324238.2:c.-274-62C>A

N/A Intron Variant
ITPA transcript variant 5 NM_001351739.2:c.-274-62C…

NM_001351739.2:c.-274-62C>A

N/A Intron Variant
ITPA transcript variant 8 NM_001324237.2:c.-244= N/A 5 Prime UTR Variant
ITPA transcript variant 1 NM_033453.4:c.94C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform a NP_258412.1:p.Pro32Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant 1 NM_033453.4:c.94C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform a NP_258412.1:p.Pro32Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant 1 NM_033453.4:c.94C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform a NP_258412.1:p.Pro32Ser P (Pro) > S (Ser) Missense Variant
ITPA transcript variant 10 NM_001324240.2:c.94C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform e NP_001311169.1:p.Pro32Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant 10 NM_001324240.2:c.94C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform e NP_001311169.1:p.Pro32Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant 10 NM_001324240.2:c.94C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform e NP_001311169.1:p.Pro32Ser P (Pro) > S (Ser) Missense Variant
ITPA transcript variant 2 NM_181493.4:c.43C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform b NP_852470.1:p.Pro15Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant 2 NM_181493.4:c.43C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform b NP_852470.1:p.Pro15Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant 2 NM_181493.4:c.43C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform b NP_852470.1:p.Pro15Ser P (Pro) > S (Ser) Missense Variant
ITPA transcript variant 4 NR_052000.2:n.386C>A N/A Non Coding Transcript Variant
ITPA transcript variant 4 NR_052000.2:n.386C>G N/A Non Coding Transcript Variant
ITPA transcript variant 4 NR_052000.2:n.386C>T N/A Non Coding Transcript Variant
ITPA transcript variant 6 NR_052002.2:n.148C>A N/A Non Coding Transcript Variant
ITPA transcript variant 6 NR_052002.2:n.148C>G N/A Non Coding Transcript Variant
ITPA transcript variant 6 NR_052002.2:n.148C>T N/A Non Coding Transcript Variant
ITPA transcript variant X4 XM_006723565.4:c.67-789C>A N/A Intron Variant
ITPA transcript variant X1 XM_047440139.1:c.220C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X1 XP_047296095.1:p.Pro74Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant X1 XM_047440139.1:c.220C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X1 XP_047296095.1:p.Pro74Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant X1 XM_047440139.1:c.220C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X1 XP_047296095.1:p.Pro74Ser P (Pro) > S (Ser) Missense Variant
ITPA transcript variant X2 XM_006723564.4:c.94C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X2 XP_006723627.1:p.Pro32Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant X2 XM_006723564.4:c.94C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X2 XP_006723627.1:p.Pro32Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant X2 XM_006723564.4:c.94C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X2 XP_006723627.1:p.Pro32Ser P (Pro) > S (Ser) Missense Variant
ITPA transcript variant X3 XM_047440140.1:c.220C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X3 XP_047296096.1:p.Pro74Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant X3 XM_047440140.1:c.220C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X3 XP_047296096.1:p.Pro74Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant X3 XM_047440140.1:c.220C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X3 XP_047296096.1:p.Pro74Ser P (Pro) > S (Ser) Missense Variant
ITPA transcript variant X5 XM_011529234.3:c.94C>A P [CCA] > T [ACA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X5 XP_011527536.1:p.Pro32Thr P (Pro) > T (Thr) Missense Variant
ITPA transcript variant X5 XM_011529234.3:c.94C>G P [CCA] > A [GCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X5 XP_011527536.1:p.Pro32Ala P (Pro) > A (Ala) Missense Variant
ITPA transcript variant X5 XM_011529234.3:c.94C>T P [CCA] > S [TCA] Coding Sequence Variant
inosine triphosphate pyrophosphatase isoform X5 XP_011527536.1:p.Pro32Ser P (Pro) > S (Ser) Missense 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: A (allele ID: 29785 )
ClinVar Accession Disease Names Clinical Significance
RCV000015867.33 Inosine triphosphatase deficiency Benign
RCV001711071.2 not provided Benign
RCV001787323.2 peginterferon alfa-2b and ribavirin response - Toxicity Drug-Response
RCV001804735.2 not specified Likely-Benign
Help

Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".

Placement C= A G T
GRCh38.p14 chr 20 NC_000020.11:g.3213196= NC_000020.11:g.3213196C>A NC_000020.11:g.3213196C>G NC_000020.11:g.3213196C>T
GRCh37.p13 chr 20 NC_000020.10:g.3193842= NC_000020.10:g.3193842C>A NC_000020.10:g.3193842C>G NC_000020.10:g.3193842C>T
ITPA RefSeqGene NG_012093.2:g.9330= NG_012093.2:g.9330C>A NG_012093.2:g.9330C>G NG_012093.2:g.9330C>T
ITPA transcript variant 1 NM_033453.4:c.94= NM_033453.4:c.94C>A NM_033453.4:c.94C>G NM_033453.4:c.94C>T
ITPA transcript variant 1 NM_033453.3:c.94= NM_033453.3:c.94C>A NM_033453.3:c.94C>G NM_033453.3:c.94C>T
ITPA transcript variant 2 NM_181493.4:c.43= NM_181493.4:c.43C>A NM_181493.4:c.43C>G NM_181493.4:c.43C>T
ITPA transcript variant 2 NM_181493.3:c.43= NM_181493.3:c.43C>A NM_181493.3:c.43C>G NM_181493.3:c.43C>T
ITPA transcript variant 2 NM_181493.2:c.43= NM_181493.2:c.43C>A NM_181493.2:c.43C>G NM_181493.2:c.43C>T
ITPA transcript variant 8 NM_001324237.2:c.-244= NM_001324237.2:c.-244C>A NM_001324237.2:c.-244C>G NM_001324237.2:c.-244C>T
ITPA transcript variant 8 NM_001324237.1:c.-244= NM_001324237.1:c.-244C>A NM_001324237.1:c.-244C>G NM_001324237.1:c.-244C>T
ITPA transcript variant 10 NM_001324240.2:c.94= NM_001324240.2:c.94C>A NM_001324240.2:c.94C>G NM_001324240.2:c.94C>T
ITPA transcript variant 10 NM_001324240.1:c.94= NM_001324240.1:c.94C>A NM_001324240.1:c.94C>G NM_001324240.1:c.94C>T
ITPA transcript variant 4 NR_052000.2:n.386= NR_052000.2:n.386C>A NR_052000.2:n.386C>G NR_052000.2:n.386C>T
ITPA transcript variant 4 NR_052000.1:n.194= NR_052000.1:n.194C>A NR_052000.1:n.194C>G NR_052000.1:n.194C>T
ITPA transcript variant 6 NR_052002.2:n.148= NR_052002.2:n.148C>A NR_052002.2:n.148C>G NR_052002.2:n.148C>T
ITPA transcript variant 6 NR_052002.1:n.286= NR_052002.1:n.286C>A NR_052002.1:n.286C>G NR_052002.1:n.286C>T
ITPA transcript variant X2 XM_006723564.4:c.94= XM_006723564.4:c.94C>A XM_006723564.4:c.94C>G XM_006723564.4:c.94C>T
ITPA transcript variant X1 XM_006723564.3:c.94= XM_006723564.3:c.94C>A XM_006723564.3:c.94C>G XM_006723564.3:c.94C>T
ITPA transcript variant X1 XM_006723564.2:c.94= XM_006723564.2:c.94C>A XM_006723564.2:c.94C>G XM_006723564.2:c.94C>T
ITPA transcript variant X1 XM_006723564.1:c.94= XM_006723564.1:c.94C>A XM_006723564.1:c.94C>G XM_006723564.1:c.94C>T
ITPA transcript variant X5 XM_011529234.3:c.94= XM_011529234.3:c.94C>A XM_011529234.3:c.94C>G XM_011529234.3:c.94C>T
ITPA transcript variant X3 XM_011529234.2:c.94= XM_011529234.2:c.94C>A XM_011529234.2:c.94C>G XM_011529234.2:c.94C>T
ITPA transcript variant X3 XM_011529234.1:c.94= XM_011529234.1:c.94C>A XM_011529234.1:c.94C>G XM_011529234.1:c.94C>T
ITPA transcript variant X1 XM_047440139.1:c.220= XM_047440139.1:c.220C>A XM_047440139.1:c.220C>G XM_047440139.1:c.220C>T
ITPA transcript variant X3 XM_047440140.1:c.220= XM_047440140.1:c.220C>A XM_047440140.1:c.220C>G XM_047440140.1:c.220C>T
HLC14-06-P transcript NM_025200.1:c.94= NM_025200.1:c.94C>A NM_025200.1:c.94C>G NM_025200.1:c.94C>T
inosine triphosphate pyrophosphatase isoform a NP_258412.1:p.Pro32= NP_258412.1:p.Pro32Thr NP_258412.1:p.Pro32Ala NP_258412.1:p.Pro32Ser
inosine triphosphate pyrophosphatase isoform b NP_852470.1:p.Pro15= NP_852470.1:p.Pro15Thr NP_852470.1:p.Pro15Ala NP_852470.1:p.Pro15Ser
inosine triphosphate pyrophosphatase isoform e NP_001311169.1:p.Pro32= NP_001311169.1:p.Pro32Thr NP_001311169.1:p.Pro32Ala NP_001311169.1:p.Pro32Ser
inosine triphosphate pyrophosphatase isoform X2 XP_006723627.1:p.Pro32= XP_006723627.1:p.Pro32Thr XP_006723627.1:p.Pro32Ala XP_006723627.1:p.Pro32Ser
inosine triphosphate pyrophosphatase isoform X5 XP_011527536.1:p.Pro32= XP_011527536.1:p.Pro32Thr XP_011527536.1:p.Pro32Ala XP_011527536.1:p.Pro32Ser
inosine triphosphate pyrophosphatase isoform X1 XP_047296095.1:p.Pro74= XP_047296095.1:p.Pro74Thr XP_047296095.1:p.Pro74Ala XP_047296095.1:p.Pro74Ser
inosine triphosphate pyrophosphatase isoform X3 XP_047296096.1:p.Pro74= XP_047296096.1:p.Pro74Thr XP_047296096.1:p.Pro74Ala XP_047296096.1:p.Pro74Ser
ITPA transcript variant 3 NM_001267623.1:c.67-789= NM_001267623.1:c.67-789C>A NM_001267623.1:c.67-789C>G NM_001267623.1:c.67-789C>T
ITPA transcript variant 3 NM_001267623.2:c.67-789= NM_001267623.2:c.67-789C>A NM_001267623.2:c.67-789C>G NM_001267623.2:c.67-789C>T
ITPA transcript variant 7 NM_001324236.2:c.-274-62= NM_001324236.2:c.-274-62C>A NM_001324236.2:c.-274-62C>G NM_001324236.2:c.-274-62C>T
ITPA transcript variant 9 NM_001324238.2:c.-274-62= NM_001324238.2:c.-274-62C>A NM_001324238.2:c.-274-62C>G NM_001324238.2:c.-274-62C>T
ITPA transcript variant 5 NM_001351739.2:c.-274-62= NM_001351739.2:c.-274-62C>A NM_001351739.2:c.-274-62C>G NM_001351739.2:c.-274-62C>T
ITPA transcript variant X4 XM_006723565.4:c.67-789= XM_006723565.4:c.67-789C>A XM_006723565.4:c.67-789C>G XM_006723565.4:c.67-789C>T
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#.

124 SubSNP, 24 Frequency, 4 ClinVar submissions
No Submitter Submission ID Date (Build)
1 LEE ss4391113 May 29, 2002 (123)
2 PERLEGEN ss16334859 Feb 28, 2004 (123)
3 PERLEGEN ss24040325 Sep 20, 2004 (123)
4 AFFY ss66006866 Nov 29, 2006 (130)
5 ILLUMINA ss66795578 Nov 29, 2006 (130)
6 ILLUMINA ss66930121 Nov 29, 2006 (130)
7 ILLUMINA ss67087692 Nov 29, 2006 (130)
8 PERLEGEN ss69233685 May 16, 2007 (130)
9 AFFY ss74813600 Aug 16, 2007 (130)
10 AFFY ss74819580 Aug 16, 2007 (130)
11 BGI ss106175446 Feb 06, 2009 (130)
12 GMI ss156094281 Dec 01, 2009 (131)
13 ILLUMINA ss160662512 Dec 01, 2009 (131)
14 ILLUMINA ss169122912 Jul 04, 2010 (132)
15 OMICIA ss169682733 Aug 28, 2012 (137)
16 BUSHMAN ss203812222 Jul 04, 2010 (132)
17 1000GENOMES ss228224675 Jul 14, 2010 (132)
18 1000GENOMES ss237740032 Jul 15, 2010 (132)
19 1000GENOMES ss243931378 Jul 15, 2010 (132)
20 OMIM-CURATED-RECORDS ss275486960 Nov 19, 2010 (133)
21 GMI ss283278586 May 04, 2012 (137)
22 NHLBI-ESP ss342515144 May 09, 2011 (134)
23 ILLUMINA ss481166384 May 04, 2012 (137)
24 ILLUMINA ss481864634 Sep 08, 2015 (146)
25 ILLUMINA ss484180132 May 04, 2012 (137)
26 1000GENOMES ss491171453 May 04, 2012 (137)
27 EXOME_CHIP ss491557416 May 04, 2012 (137)
28 CLINSEQ_SNP ss491805250 May 04, 2012 (137)
29 ILLUMINA ss534168881 Sep 08, 2015 (146)
30 TISHKOFF ss566099652 Apr 25, 2013 (138)
31 SSMP ss661969416 Apr 25, 2013 (138)
32 ILLUMINA ss779836192 Sep 08, 2015 (146)
33 ILLUMINA ss780752111 Sep 08, 2015 (146)
34 ILLUMINA ss781413299 Sep 08, 2015 (146)
35 ILLUMINA ss783430262 Sep 08, 2015 (146)
36 ILLUMINA ss835312856 Sep 08, 2015 (146)
37 EVA-GONL ss994482440 Aug 21, 2014 (142)
38 JMKIDD_LAB ss1067595787 Aug 21, 2014 (142)
39 JMKIDD_LAB ss1082028492 Aug 21, 2014 (142)
40 1000GENOMES ss1363858244 Aug 21, 2014 (142)
41 EVA_FINRISK ss1584121403 Apr 01, 2015 (144)
42 EVA_UK10K_ALSPAC ss1638299822 Apr 01, 2015 (144)
43 EVA_UK10K_TWINSUK ss1681293855 Apr 01, 2015 (144)
44 EVA_EXAC ss1693884917 Apr 01, 2015 (144)
45 EVA_DECODE ss1698536742 Apr 01, 2015 (144)
46 EVA_MGP ss1711532059 Apr 01, 2015 (144)
47 ILLUMINA ss1752383256 Sep 08, 2015 (146)
48 ILLUMINA ss1917944241 Feb 12, 2016 (147)
49 WEILL_CORNELL_DGM ss1937991372 Feb 12, 2016 (147)
50 ILLUMINA ss1946545598 Feb 12, 2016 (147)
51 ILLUMINA ss1959893392 Feb 12, 2016 (147)
52 GENOMED ss1969077130 Jul 19, 2016 (147)
53 JJLAB ss2029772455 Sep 14, 2016 (149)
54 USC_VALOUEV ss2158326475 Dec 20, 2016 (150)
55 HUMAN_LONGEVITY ss2240900319 Dec 20, 2016 (150)
56 ILLUMINA ss2633769131 Nov 08, 2017 (151)
57 ILLUMINA ss2633769132 Nov 08, 2017 (151)
58 GRF ss2703998127 Nov 08, 2017 (151)
59 GNOMAD ss2744434988 Nov 08, 2017 (151)
60 GNOMAD ss2750330002 Nov 08, 2017 (151)
61 GNOMAD ss2964857643 Nov 08, 2017 (151)
62 AFFY ss2985207988 Nov 08, 2017 (151)
63 AFFY ss2985828654 Nov 08, 2017 (151)
64 SWEGEN ss3017782672 Nov 08, 2017 (151)
65 ILLUMINA ss3022095453 Nov 08, 2017 (151)
66 BIOINF_KMB_FNS_UNIBA ss3028718192 Nov 08, 2017 (151)
67 CSHL ss3352392312 Nov 08, 2017 (151)
68 ILLUMINA ss3628337512 Oct 12, 2018 (152)
69 ILLUMINA ss3628337513 Oct 12, 2018 (152)
70 ILLUMINA ss3631727304 Oct 12, 2018 (152)
71 ILLUMINA ss3634823623 Oct 12, 2018 (152)
72 ILLUMINA ss3636513425 Oct 12, 2018 (152)
73 ILLUMINA ss3638331303 Oct 12, 2018 (152)
74 ILLUMINA ss3639169147 Oct 12, 2018 (152)
75 ILLUMINA ss3639598517 Oct 12, 2018 (152)
76 ILLUMINA ss3640530921 Oct 12, 2018 (152)
77 ILLUMINA ss3642169464 Oct 12, 2018 (152)
78 ILLUMINA ss3644775923 Oct 12, 2018 (152)
79 OMUKHERJEE_ADBS ss3646545564 Oct 12, 2018 (152)
80 ILLUMINA ss3652549560 Oct 12, 2018 (152)
81 ILLUMINA ss3653976215 Oct 12, 2018 (152)
82 EGCUT_WGS ss3684496230 Jul 13, 2019 (153)
83 EVA_DECODE ss3706453349 Jul 13, 2019 (153)
84 ILLUMINA ss3725895148 Jul 13, 2019 (153)
85 ACPOP ss3743200985 Jul 13, 2019 (153)
86 ILLUMINA ss3744490623 Jul 13, 2019 (153)
87 ILLUMINA ss3745123514 Jul 13, 2019 (153)
88 EVA ss3758356790 Jul 13, 2019 (153)
89 PAGE_CC ss3772032372 Jul 13, 2019 (153)
90 ILLUMINA ss3772619816 Jul 13, 2019 (153)
91 KHV_HUMAN_GENOMES ss3821528427 Jul 13, 2019 (153)
92 EVA ss3825346743 Apr 27, 2020 (154)
93 EVA ss3825947524 Apr 27, 2020 (154)
94 EVA ss3835558651 Apr 27, 2020 (154)
95 SGDP_PRJ ss3888621112 Apr 27, 2020 (154)
96 KRGDB ss3938801864 Apr 27, 2020 (154)
97 FSA-LAB ss3984211400 Apr 27, 2021 (155)
98 EVA ss3984450597 Apr 27, 2021 (155)
99 EVA ss3984745911 Apr 27, 2021 (155)
100 EVA ss3986821524 Apr 27, 2021 (155)
101 TOPMED ss5080503831 Apr 27, 2021 (155)
102 TOMMO_GENOMICS ss5228610067 Apr 27, 2021 (155)
103 EVA ss5236981287 Apr 27, 2021 (155)
104 EVA ss5237600900 Apr 27, 2021 (155)
105 EVA ss5237673971 Oct 13, 2022 (156)
106 1000G_HIGH_COVERAGE ss5307903031 Oct 13, 2022 (156)
107 TRAN_CS_UWATERLOO ss5314454796 Oct 13, 2022 (156)
108 EVA ss5315989632 Oct 13, 2022 (156)
109 EVA ss5435928607 Oct 13, 2022 (156)
110 HUGCELL_USP ss5500321104 Oct 13, 2022 (156)
111 1000G_HIGH_COVERAGE ss5613896182 Oct 13, 2022 (156)
112 EVA ss5624111317 Oct 13, 2022 (156)
113 SANFORD_IMAGENETICS ss5624478850 Oct 13, 2022 (156)
114 SANFORD_IMAGENETICS ss5662758738 Oct 13, 2022 (156)
115 TOMMO_GENOMICS ss5787532972 Oct 13, 2022 (156)
116 EVA ss5799404804 Oct 13, 2022 (156)
117 YY_MCH ss5817769519 Oct 13, 2022 (156)
118 EVA ss5845370696 Oct 13, 2022 (156)
119 EVA ss5847912318 Oct 13, 2022 (156)
120 EVA ss5848542674 Oct 13, 2022 (156)
121 EVA ss5853044848 Oct 13, 2022 (156)
122 EVA ss5922465480 Oct 13, 2022 (156)
123 EVA ss5936576351 Oct 13, 2022 (156)
124 EVA ss5957656552 Oct 13, 2022 (156)
125 1000Genomes NC_000020.10 - 3193842 Oct 12, 2018 (152)
126 1000Genomes_30x NC_000020.11 - 3213196 Oct 13, 2022 (156)
127 The Avon Longitudinal Study of Parents and Children NC_000020.10 - 3193842 Oct 12, 2018 (152)
128 Genetic variation in the Estonian population NC_000020.10 - 3193842 Oct 12, 2018 (152)
129 ExAC NC_000020.10 - 3193842 Oct 12, 2018 (152)
130 FINRISK NC_000020.10 - 3193842 Apr 27, 2020 (154)
131 gnomAD - Genomes NC_000020.11 - 3213196 Apr 27, 2021 (155)
132 gnomAD - Exomes NC_000020.10 - 3193842 Jul 13, 2019 (153)
133 Genome of the Netherlands Release 5 NC_000020.10 - 3193842 Apr 27, 2020 (154)
134 KOREAN population from KRGDB NC_000020.10 - 3193842 Apr 27, 2020 (154)
135 Medical Genome Project healthy controls from Spanish population NC_000020.10 - 3193842 Apr 27, 2020 (154)
136 Northern Sweden NC_000020.10 - 3193842 Jul 13, 2019 (153)
137 The PAGE Study NC_000020.11 - 3213196 Jul 13, 2019 (153)
138 CNV burdens in cranial meningiomas NC_000020.10 - 3193842 Apr 27, 2021 (155)
139 MxGDAR/Encodat-PGx NC_000020.10 - 3193842 Apr 27, 2021 (155)
140 Qatari NC_000020.10 - 3193842 Apr 27, 2020 (154)
141 SGDP_PRJ NC_000020.10 - 3193842 Apr 27, 2020 (154)
142 Siberian NC_000020.10 - 3193842 Apr 27, 2020 (154)
143 8.3KJPN NC_000020.10 - 3193842 Apr 27, 2021 (155)
144 14KJPN NC_000020.11 - 3213196 Oct 13, 2022 (156)
145 TopMed NC_000020.11 - 3213196 Apr 27, 2021 (155)
146 UK 10K study - Twins NC_000020.10 - 3193842 Oct 12, 2018 (152)
147 A Vietnamese Genetic Variation Database NC_000020.10 - 3193842 Jul 13, 2019 (153)
148 ALFA NC_000020.11 - 3213196 Apr 27, 2021 (155)
149 ClinVar RCV000015867.33 Oct 13, 2022 (156)
150 ClinVar RCV001711071.2 Oct 13, 2022 (156)
151 ClinVar RCV001787323.2 Oct 13, 2022 (156)
152 ClinVar RCV001804735.2 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).

Associated ID History Updated (Build)
rs3177087 Oct 07, 2004 (123)
rs3183216 Oct 09, 2002 (108)
rs11565932 Sep 24, 2004 (123)
rs16988347 Oct 07, 2004 (123)
rs41320251 May 25, 2008 (130)
rs52834049 Sep 21, 2007 (128)
rs111069069 Nov 20, 2012 (136)
rs117814751 Aug 16, 2010 (132)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss203812222, ss283278586, ss484180132, ss491805250, ss1698536742, ss3639169147, ss3639598517 NC_000020.9:3141841:C:A NC_000020.11:3213195:C:A (self)
77290323, 42781294, 30234478, 5431328, 117864, 13752744, 19062168, 45979258, 647819, 16485850, 295477, 3598, 20033294, 40638092, 10842829, 86579374, 42781294, 9444151, ss228224675, ss237740032, ss243931378, ss342515144, ss481166384, ss481864634, ss491171453, ss491557416, ss534168881, ss566099652, ss661969416, ss779836192, ss780752111, ss781413299, ss783430262, ss835312856, ss994482440, ss1067595787, ss1082028492, ss1363858244, ss1584121403, ss1638299822, ss1681293855, ss1693884917, ss1711532059, ss1752383256, ss1917944241, ss1937991372, ss1946545598, ss1959893392, ss1969077130, ss2029772455, ss2158326475, ss2633769131, ss2633769132, ss2703998127, ss2744434988, ss2750330002, ss2964857643, ss2985207988, ss2985828654, ss3017782672, ss3022095453, ss3352392312, ss3628337512, ss3628337513, ss3631727304, ss3634823623, ss3636513425, ss3638331303, ss3640530921, ss3642169464, ss3644775923, ss3646545564, ss3652549560, ss3653976215, ss3684496230, ss3743200985, ss3744490623, ss3745123514, ss3758356790, ss3772619816, ss3825346743, ss3825947524, ss3835558651, ss3888621112, ss3938801864, ss3984211400, ss3984450597, ss3984745911, ss3986821524, ss5228610067, ss5237600900, ss5315989632, ss5435928607, ss5624111317, ss5624478850, ss5662758738, ss5799404804, ss5845370696, ss5847912318, ss5848542674, ss5936576351, ss5957656552 NC_000020.10:3193841:C:A NC_000020.11:3213195:C:A (self)
RCV000015867.33, RCV001711071.2, RCV001787323.2, RCV001804735.2, 101422117, 545023519, 1253841, 121370076, 355612776, 8351564391, ss169682733, ss275486960, ss2240900319, ss3028718192, ss3706453349, ss3725895148, ss3772032372, ss3821528427, ss5080503831, ss5236981287, ss5237673971, ss5307903031, ss5314454796, ss5500321104, ss5613896182, ss5787532972, ss5817769519, ss5853044848, ss5922465480 NC_000020.11:3213195:C:A NC_000020.11:3213195:C:A (self)
ss4391113, ss16334859, ss24040325, ss66006866, ss66795578, ss66930121, ss67087692, ss69233685, ss74813600, ss74819580, ss106175446, ss156094281, ss160662512, ss169122912 NT_011387.8:3133841:C:A NC_000020.11:3213195:C:A (self)
ss203812222 NC_000020.9:3141841:C:G NC_000020.11:3213195:C:G (self)
ss5624478850, ss5847912318 NC_000020.10:3193841:C:G NC_000020.11:3213195:C:G
ss5624478850, ss5847912318 NC_000020.10:3193841:C:T NC_000020.11:3213195:C:T
Help

Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

117 citations for rs1127354
PMID Title Author Year Journal
11278832 Cloning, expression, and characterization of a human inosine triphosphate pyrophosphatase encoded by the itpa gene. Lin S et al. 2001 The Journal of biological chemistry
12384777 Genetic basis of inosine triphosphate pyrophosphohydrolase deficiency. Sumi S et al. 2002 Human genetics
12436200 DNA polymorphisms in ITPA including basis of inosine triphosphatase deficiency. Cao H et al. 2002 Journal of human genetics
17186469 Mutations in the gene encoding the Wnt-signaling component R-spondin 4 (RSPO4) cause autosomal recessive anonychia. Bergmann C et al. 2006 American journal of human genetics
18662289 Pharmacogenomic studies of the anticancer and immunosuppressive thiopurines mercaptopurine and azathioprine. Hawwa AF et al. 2008 British journal of clinical pharmacology
18685564 Genetic polymorphism of inosine triphosphate pyrophosphatase is a determinant of mercaptopurine metabolism and toxicity during treatment for acute lymphoblastic leukemia. Stocco G et al. 2009 Clinical pharmacology and therapeutics
19193698 Investigation of candidate polymorphisms and disease activity in rheumatoid arthritis patients on methotrexate. Lee YC et al. 2009 Rheumatology (Oxford, England)
19631656 Functional study of the P32T ITPA variant associated with drug sensitivity in humans. Stepchenkova EI et al. 2009 Journal of molecular biology
20021291 Genetic polymorphism of inosine-triphosphate-pyrophosphatase influences mercaptopurine metabolism and toxicity during treatment of acute lymphoblastic leukemia individualized for thiopurine-S-methyl-transferase status. Stocco G et al. 2010 Expert opinion on drug safety
20173735 ITPA gene variants protect against anaemia in patients treated for chronic hepatitis C. Fellay J et al. 2010 Nature
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
20977565 ITPA gene variant protects against anemia induced by pegylated interferon-α and ribavirin therapy for Japanese patients with chronic hepatitis C. Sakamoto N et al. 2010 Hepatology research
21246582 Influence of ITPA polymorphisms on decreases of hemoglobin during treatment with pegylated interferon, ribavirin, and telaprevir. Suzuki F et al. 2011 Hepatology (Baltimore, Md.)
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
21503919 Common genetic polymorphism of ITPA gene affects ribavirin-induced anemia and effect of peg-interferon plus ribavirin therapy. Azakami T et al. 2011 Journal of medical virology
21628662 IL28B but not ITPA polymorphism is predictive of response to pegylated interferon, ribavirin, and telaprevir triple therapy in patients with genotype 1 hepatitis C. Chayama K et al. 2011 The Journal of infectious diseases
21659334 Genome-wide association study identified ITPA/DDRGK1 variants reflecting thrombocytopenia in pegylated interferon and ribavirin therapy for chronic hepatitis C. Tanaka Y et al. 2011 Human molecular genetics
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
22052220 Polymorphism of the inosine triphosphate pyrophosphatase gene predicts ribavirin-induced anemia in chronic hepatitis C patients. Nishimura T et al. 2012 Molecular medicine reports
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
22181672 Efficacy of splenectomy in preventing anemia in patients with recurrent hepatitis C following liver transplantation is not dependent on inosine triphosphate pyrophosphatase genotype. Motomura T et al. 2012 Hepatology research
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
22460221 Anemia and thrombocytosis induced by ribavirin monotherapy in patients with chronic hepatitis C. Kobayashi T et al. 2012 Journal of gastroenterology
22571903 Gene expression profiles associated with anaemia and ITPA genotypes in patients with chronic hepatitis C (CH-C). Birerdinc A et al. 2012 Journal of viral hepatitis
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
22938532 Sequencing and analysis of a South Asian-Indian personal genome. Gupta R et al. 2012 BMC genomics
22977575 Accuracy of genotyping using the TaqMan PCR assay for single nucleotide polymorphisms responsible for thiopurine sensitivity in Japanese patients with inflammatory bowel disease. Osaki R et al. 2011 Experimental and therapeutic medicine
22992668 Pharmacogenomics knowledge for personalized medicine. Whirl-Carrillo M et al. 2012 Clinical pharmacology and therapeutics
23029095 Pharmacogenetic analysis of pediatric patients with acute lymphoblastic leukemia: a possible association between survival rate and ITPA polymorphism. Kim H et al. 2012 PloS one
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
23189085 Impact of genetic polymorphisms on chemotherapy toxicity in childhood acute lymphoblastic leukemia. Gervasini G et al. 2012 Frontiers in genetics
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
23297176 Model incorporating the ITPA genotype identifies patients at high risk of anemia and treatment failure with pegylated-interferon plus ribavirin therapy for chronic hepatitis C. Kurosaki M et al. 2013 Journal of medical virology
23300409 Chapter 7: Pharmacogenomics. Karczewski KJ et al. 2012 PLoS computational biology
23335936 Multilocus genotypes of relevance for drug metabolizing enzymes and therapy with thiopurines in patients with acute lymphoblastic leukemia. Stocco G et al. 2012 Frontiers in genetics
23490380 An automated rapid detection system using the quenching probe method for detecting interleukin 28B and inosine triphosphatase single nucleotide polymorphisms in chronic hepatitis C. Takahashi H et al. 2013 Journal of viral hepatitis
23707372 Clinical milestones for the prediction of severe anemia by chronic hepatitis C patients receiving telaprevir-based triple therapy. Ogawa E et al. 2013 Journal of hepatology
23730840 Role of IL28B and inosine triphosphatase polymorphisms in the treatment of chronic hepatitis C virus genotype 6 infection. Seto WK et al. 2013 Journal of viral hepatitis
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
23957840 Administration of low-dose epoetin-alpha facilitates adherence to ribavirin in triple therapy with pegylated interferon-alpha-2b and telaprevir. Ishida H et al. 2014 Hepatology research
23980585 Relationship between inosine triphosphate genotype and outcome of extended therapy in hepatitis C virus patients with a late viral response to pegylated-interferon and ribavirin. Hai H et al. 2014 Journal of gastroenterology and hepatology
24039372 Extended therapy duration for therapy-refractory hepatitis C patients with genotype 2. Sato K et al. 2013 World journal of gastroenterology
24099469 Telaprevir-based triple therapy for chronic hepatitis C patients with advanced fibrosis: a prospective clinical study. Ogawa E et al. 2013 Alimentary pharmacology & 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
24750345 ITPA genetic variants influence efficacy of PEG-IFN/RBV therapy in older patients infected with HCV genotype 1 and favourable IL28B type. Matsuura K et al. 2014 Journal of viral hepatitis
24774509 Prevalence of TPMT and ITPA gene polymorphisms and effect on mercaptopurine dosage in Chilean children with acute lymphoblastic leukemia. Farfan MJ et al. 2014 BMC cancer
24819603 Involvement of MAP3K8 and miR-17-5p in poor virologic response to interferon-based combination therapy for chronic hepatitis C. Tsubota A et al. 2014 PloS one
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
24930407 Ribavirin dose reduction during telaprevir/ribavirin/peg-interferon therapy overcomes the effect of the ITPA gene polymorphism. Akamatsu S et al. 2015 Journal of viral hepatitis
24944790 Screening for 392 polymorphisms in 141 pharmacogenes. Kim JY et al. 2014 Biomedical reports
25240429 5-Aminoimidazole-4-carboxamide ribonucleotide-transformylase and inosine-triphosphate-pyrophosphatase genes variants predict remission rate during methotrexate therapy in patients with juvenile idiopathic arthritis. Pastore S et al. 2015 Rheumatology international
25287662 FLT3 expression and IL10 promoter polymorphism in acute myeloid leukemia with RUNX1-RUNX1T1. Kim M et al. 2015 Molecular biology reports
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
25745368 Prediction of methotrexate intolerance in juvenile idiopathic arthritis: a prospective, observational cohort study. van Dijkhuizen EH et al. 2015 Pediatric rheumatology online journal
25777545 Comparative safety study on severe anemia by simeprevir versus telaprevir-based triple therapy for chronic hepatitis C. Ogawa E et al. 2015 Journal of gastroenterology and hepatology
25852556 Genetic determinants for methotrexate response in juvenile idiopathic arthritis. Pastore S et al. 2015 Frontiers in pharmacology
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
26644204 Pharmacogenetics and induction/consolidation therapy toxicities in acute lymphoblastic leukemia patients treated with AIEOP-BFM ALL 2000 protocol. Franca R et al. 2017 The pharmacogenomics journal
26650626 ITPA Genotypes Predict Anemia but Do Not Affect Virological Response with Interferon-Free Faldaprevir, Deleobuvir, and Ribavirin for HCV Infection. Asselah T 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
26880169 Role of ITPA gene polymorphism in ribavirin-induced anemia and thrombocytopenia in Egyptian patients with chronic hepatitis C. Nemr N et al. 2016 Indian journal of gastroenterology
26933517 Modeling Ribavirin-Induced Anemia in Patients with Chronic Hepatitis C Virus. Wu LS et al. 2016 CPT
26991414 Impact of ribavirin dosage in chronic hepatitis C patients treated with simeprevir, pegylated interferon plus ribavirin combination therapy. Tahata Y et al. 2016 Journal of medical virology
27081565 Identification of ITPA on chromosome 20 as a susceptibility gene for young-onset tuberculosis. Nakauchi A et al. 2016 Human genome variation
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
27789224 Effectiveness and safety of sofosbuvir plus ribavirin for HCV genotype 2 patients 65 and over with or without cirrhosis. Ogawa E et al. 2016 Antiviral research
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)
27822709 ITPA polymorphism effects on decrease of hemoglobin during sofosbuvir and ribavirin combination treatment for chronic hepatitis C. Morio K et al. 2017 Journal of gastroenterology
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
28109022 Correlation between polymorphism in the inosine triphosphatase and the reductions in hemoglobin concentration and ribavirin dose during sofosbuvir and ribavirin therapy. Kozuka R et al. 2017 Journal of gastroenterology and hepatology
28128422 Role of inosine triphosphate pyrophosphatase gene variant on fever incidence during zidovudine antiretroviral therapy. Coelho AV et al. 2017 Genetics and molecular research
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
28198349 Impact of ITPA gene polymorphisms on the risk of ribavirin-induced haemolytic anaemia using interferon-free antivirals for chronic hepatitis C. Esposito I 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
28480960 ITPA gene polymorphism (94C>A) effects on ribavirin-induced anemia during therapy in Egyptian patients with chronic hepatitis C. El Raziky M et al. 2017 Journal of medical virology
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
28928439 Polymorphisms in MICA, but not in DEPDC5, HCP5 or PNPLA3, are associated with chronic hepatitis C-related hepatocellular carcinoma. Hai H et al. 2017 Scientific reports
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
29387964 Role of TPMT and ITPA variants in mercaptopurine disposition. Gerbek T et al. 2018 Cancer chemotherapy and pharmacology
29520081 Evaluation of a clinical pharmacogenetics model to predict methotrexate response in patients with rheumatoid arthritis. López-Rodríguez R et al. 2018 The pharmacogenomics journal
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
30628539 Validation of a clinical pharmacogenetic model to predict methotrexate nonresponse in rheumatoid arthritis patients. Eektimmerman F et al. 2019 Pharmacogenomics
30817703 Tolerability of Erythrocyte Ribavirin Triphosphate Concentrations Depends on the ITPA Genotype. Tanaka Y et al. 2019 Therapeutic drug monitoring
31153415
31359493 Inosine triphosphate pyrophosphatase polymorphisms are predictors of anemia in Chinese patients with chronic hepatitis C during therapy with ribavirin and interferon. Chi X et al. 2020 Journal of gastroenterology and hepatology
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
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
32735044 Association between inosine triphosphatase rs1127354 polymorphisms and ribavirin-induced anaemia and outcome in hepatitis C virus-infected patients: A meta-analysis. Ma Z et al. 2020 Journal of clinical pharmacy and therapeutics
33780152 Polymorphism of genes involved in methotrexate pathway: Predictors of response to methotrexate therapy in Indian rheumatoid arthritis patients. Singh A et al. 2021 International journal of rheumatic diseases
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)
33846471 Association of genetic variants in TPMT, ITPA, and NUDT15 with azathioprine-induced myelosuppression in southwest china patients with autoimmune hepatitis. Miao Q et al. 2021 Scientific reports
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
34562771 Novel variant in glycophorin c gene protects against ribavirin-induced anemia during chronic hepatitis C treatment. Lin JJ et al. 2021 Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
34629890 NUDT15 c.415C>T Polymorphism Predicts 6-MP Induced Early Myelotoxicity in Patients with Acute Lymphoblastic Leukemia Undergoing Maintenance Therapy. Pai AA et al. 2021 Pharmacogenomics and personalized medicine
34660484 Effects of TPMT, NUDT15, and ITPA Genetic Variants on 6-Mercaptopurine Toxicity for Pediatric Patients With Acute Lymphoblastic Leukemia in Yunnan of China. Mao X et al. 2021 Frontiers in pediatrics
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
Help

The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

Genome context:
Select flank length:

Genomic regions, transcripts, and products
Top Help

NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.

Software version is: 2.0.1.post761+d5e8e07