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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.

rs237887

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr3:8755356 (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
G>A / G>C
Variation Type
SNV Single Nucleotide Variation
Frequency
G=0.374022 (99000/264690, TOPMED)
G=0.420601 (83734/199082, ALFA)
A=0.42331 (11962/28258, 14KJPN) (+ 20 more)
A=0.42685 (7154/16760, 8.3KJPN)
G=0.3963 (2538/6404, 1000G_30x)
G=0.3998 (2002/5008, 1000G)
G=0.3900 (1747/4480, Estonian)
G=0.4388 (1691/3854, ALSPAC)
G=0.4339 (1609/3708, TWINSUK)
A=0.4089 (1198/2930, KOREAN)
G=0.4381 (913/2084, HGDP_Stanford)
G=0.4021 (760/1890, HapMap)
A=0.4323 (792/1832, Korea1K)
G=0.4481 (509/1136, Daghestan)
G=0.414 (413/998, GoNL)
A=0.459 (363/790, PRJEB37584)
G=0.433 (260/600, NorthernSweden)
G=0.323 (144/446, SGDP_PRJ)
G=0.495 (107/216, Qatari)
A=0.389 (84/216, Vietnamese)
A=0.49 (36/74, Ancient Sardinia)
G=0.22 (10/46, Siberian)
G=0.40 (16/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
OXTR : Intron Variant
Publications
36 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 199176 G=0.420613 A=0.579387, C=0.000000
European Sub 172822 G=0.427434 A=0.572566, C=0.000000
African Sub 7120 G=0.2803 A=0.7197, C=0.0000
African Others Sub 248 G=0.218 A=0.782, C=0.000
African American Sub 6872 G=0.2826 A=0.7174, C=0.0000
Asian Sub 648 G=0.622 A=0.378, C=0.000
East Asian Sub 506 G=0.583 A=0.417, C=0.000
Other Asian Sub 142 G=0.761 A=0.239, C=0.000
Latin American 1 Sub 724 G=0.413 A=0.587, C=0.000
Latin American 2 Sub 6324 G=0.4010 A=0.5990, C=0.0000
South Asian Sub 4962 G=0.3886 A=0.6114, C=0.0000
Other Sub 6576 G=0.4173 A=0.5827, C=0.0000


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 G=0.374022 A=0.625978
Allele Frequency Aggregator Total Global 199082 G=0.420601 A=0.579399, C=0.000000
Allele Frequency Aggregator European Sub 172746 G=0.427414 A=0.572586, C=0.000000
Allele Frequency Aggregator African Sub 7120 G=0.2803 A=0.7197, C=0.0000
Allele Frequency Aggregator Other Sub 6558 G=0.4175 A=0.5825, C=0.0000
Allele Frequency Aggregator Latin American 2 Sub 6324 G=0.4010 A=0.5990, C=0.0000
Allele Frequency Aggregator South Asian Sub 4962 G=0.3886 A=0.6114, C=0.0000
Allele Frequency Aggregator Latin American 1 Sub 724 G=0.413 A=0.587, C=0.000
Allele Frequency Aggregator Asian Sub 648 G=0.622 A=0.378, C=0.000
14KJPN JAPANESE Study-wide 28258 G=0.57669 A=0.42331
8.3KJPN JAPANESE Study-wide 16760 G=0.57315 A=0.42685
1000Genomes_30x Global Study-wide 6404 G=0.3963 A=0.6037
1000Genomes_30x African Sub 1786 G=0.2436 A=0.7564
1000Genomes_30x Europe Sub 1266 G=0.4550 A=0.5450
1000Genomes_30x South Asian Sub 1202 G=0.3952 A=0.6048
1000Genomes_30x East Asian Sub 1170 G=0.5838 A=0.4162
1000Genomes_30x American Sub 980 G=0.377 A=0.623
1000Genomes Global Study-wide 5008 G=0.3998 A=0.6002
1000Genomes African Sub 1322 G=0.2405 A=0.7595
1000Genomes East Asian Sub 1008 G=0.5734 A=0.4266
1000Genomes Europe Sub 1006 G=0.4612 A=0.5388
1000Genomes South Asian Sub 978 G=0.391 A=0.609
1000Genomes American Sub 694 G=0.375 A=0.625
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.3900 A=0.6100
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.4388 A=0.5612
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.4339 A=0.5661
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.5911 A=0.4089
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 G=0.4381 A=0.5619
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 G=0.551 A=0.449
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 G=0.372 A=0.628
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 G=0.531 A=0.469
HGDP-CEPH-db Supplement 1 Europe Sub 320 G=0.447 A=0.553
HGDP-CEPH-db Supplement 1 Africa Sub 242 G=0.240 A=0.760
HGDP-CEPH-db Supplement 1 America Sub 216 G=0.292 A=0.708
HGDP-CEPH-db Supplement 1 Oceania Sub 72 G=0.69 A=0.31
HapMap Global Study-wide 1890 G=0.4021 A=0.5979
HapMap American Sub 768 G=0.417 A=0.583
HapMap African Sub 692 G=0.290 A=0.710
HapMap Asian Sub 254 G=0.567 A=0.433
HapMap Europe Sub 176 G=0.540 A=0.460
Korean Genome Project KOREAN Study-wide 1832 G=0.5677 A=0.4323
Genome-wide autozygosity in Daghestan Global Study-wide 1136 G=0.4481 A=0.5519
Genome-wide autozygosity in Daghestan Daghestan Sub 628 G=0.425 A=0.575
Genome-wide autozygosity in Daghestan Near_East Sub 144 G=0.465 A=0.535
Genome-wide autozygosity in Daghestan Central Asia Sub 122 G=0.492 A=0.508
Genome-wide autozygosity in Daghestan Europe Sub 108 G=0.509 A=0.491
Genome-wide autozygosity in Daghestan South Asian Sub 98 G=0.43 A=0.57
Genome-wide autozygosity in Daghestan Caucasus Sub 36 G=0.50 A=0.50
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.414 A=0.586
CNV burdens in cranial meningiomas Global Study-wide 790 G=0.541 A=0.459
CNV burdens in cranial meningiomas CRM Sub 790 G=0.541 A=0.459
Northern Sweden ACPOP Study-wide 600 G=0.433 A=0.567
SGDP_PRJ Global Study-wide 446 G=0.323 A=0.677
Qatari Global Study-wide 216 G=0.495 A=0.505
A Vietnamese Genetic Variation Database Global Study-wide 216 G=0.611 A=0.389
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 74 G=0.51 A=0.49
Siberian Global Study-wide 46 G=0.22 A=0.78
The Danish reference pan genome Danish Study-wide 40 G=0.40 A=0.60
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 3 NC_000003.12:g.8755356G>A
GRCh38.p14 chr 3 NC_000003.12:g.8755356G>C
GRCh37.p13 chr 3 NC_000003.11:g.8797042G>A
GRCh37.p13 chr 3 NC_000003.11:g.8797042G>C
CAV3 RefSeqGene (LRG_329) NG_008797.2:g.26547G>A
CAV3 RefSeqGene (LRG_329) NG_008797.2:g.26547G>C
Gene: OXTR, oxytocin receptor (minus strand)
Molecule type Change Amino acid[Codon] SO Term
OXTR transcript variant 1 NM_000916.4:c.923-2132C>T N/A Intron Variant
OXTR transcript variant 2 NM_001354653.2:c.923-2132…

NM_001354653.2:c.923-2132C>T

N/A Intron Variant
OXTR transcript variant 3 NM_001354654.2:c.923-2132…

NM_001354654.2:c.923-2132C>T

N/A Intron Variant
OXTR transcript variant 4 NM_001354655.2:c.923-2132…

NM_001354655.2:c.923-2132C>T

N/A Intron Variant
OXTR transcript variant 5 NM_001354656.3:c.923-2132…

NM_001354656.3:c.923-2132C>T

N/A Intron Variant
OXTR transcript variant X1 XR_007095681.1:n. 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.

Not Reported in ClinVar
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 G= A C
GRCh38.p14 chr 3 NC_000003.12:g.8755356= NC_000003.12:g.8755356G>A NC_000003.12:g.8755356G>C
GRCh37.p13 chr 3 NC_000003.11:g.8797042= NC_000003.11:g.8797042G>A NC_000003.11:g.8797042G>C
CAV3 RefSeqGene (LRG_329) NG_008797.2:g.26547= NG_008797.2:g.26547G>A NG_008797.2:g.26547G>C
OXTR transcript variant 1 NM_000916.3:c.923-2132= NM_000916.3:c.923-2132C>T NM_000916.3:c.923-2132C>G
OXTR transcript variant 1 NM_000916.4:c.923-2132= NM_000916.4:c.923-2132C>T NM_000916.4:c.923-2132C>G
OXTR transcript variant 2 NM_001354653.2:c.923-2132= NM_001354653.2:c.923-2132C>T NM_001354653.2:c.923-2132C>G
OXTR transcript variant 3 NM_001354654.2:c.923-2132= NM_001354654.2:c.923-2132C>T NM_001354654.2:c.923-2132C>G
OXTR transcript variant 4 NM_001354655.2:c.923-2132= NM_001354655.2:c.923-2132C>T NM_001354655.2:c.923-2132C>G
OXTR transcript variant 5 NM_001354656.3:c.923-2132= NM_001354656.3:c.923-2132C>T NM_001354656.3:c.923-2132C>G
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#.

139 SubSNP, 25 Frequency submissions
No Submitter Submission ID Date (Build)
1 KWOK ss306653 Jul 12, 2000 (79)
2 KWOK ss439093 Jul 12, 2000 (85)
3 SC_JCM ss604079 Jul 16, 2000 (80)
4 KWOK ss1014567 Oct 04, 2000 (86)
5 KWOK ss1055342 Oct 04, 2000 (86)
6 KWOK ss1652909 Oct 18, 2000 (87)
7 TSC-CSHL ss4065941 Nov 05, 2001 (101)
8 WI_SSAHASNP ss14308738 Dec 05, 2003 (119)
9 CSHL-HAPMAP ss16954547 Feb 27, 2004 (120)
10 CSHL-HAPMAP ss20160262 Feb 27, 2004 (120)
11 PERLEGEN ss23914323 Sep 20, 2004 (123)
12 ABI ss44473107 Mar 14, 2006 (126)
13 ILLUMINA ss66613228 Dec 02, 2006 (127)
14 ILLUMINA ss67250392 Dec 02, 2006 (127)
15 ILLUMINA ss67648020 Dec 02, 2006 (127)
16 PERLEGEN ss68852183 May 18, 2007 (127)
17 ILLUMINA ss70728727 May 25, 2008 (130)
18 ILLUMINA ss71297932 May 18, 2007 (127)
19 ILLUMINA ss75452139 Dec 06, 2007 (129)
20 HGSV ss77509686 Dec 06, 2007 (129)
21 ILLUMINA ss79132422 Dec 15, 2007 (130)
22 HGSV ss79944198 Dec 15, 2007 (130)
23 HGSV ss83044280 Dec 15, 2007 (130)
24 KRIBB_YJKIM ss83397827 Dec 15, 2007 (130)
25 HGSV ss85429063 Dec 15, 2007 (130)
26 BCMHGSC_JDW ss91992519 Mar 24, 2008 (129)
27 HUMANGENOME_JCVI ss95983125 Feb 05, 2009 (130)
28 BGI ss103897854 Feb 13, 2009 (130)
29 1000GENOMES ss111225223 Jan 25, 2009 (130)
30 1000GENOMES ss112052228 Jan 25, 2009 (130)
31 ILLUMINA-UK ss116967887 Feb 14, 2009 (130)
32 ILLUMINA ss122019959 Dec 01, 2009 (131)
33 ENSEMBL ss133252752 Dec 01, 2009 (131)
34 ENSEMBL ss138713603 Dec 01, 2009 (131)
35 ILLUMINA ss153908093 Dec 01, 2009 (131)
36 ILLUMINA ss159385954 Dec 01, 2009 (131)
37 ILLUMINA ss160541689 Dec 01, 2009 (131)
38 COMPLETE_GENOMICS ss161915026 Jul 04, 2010 (132)
39 COMPLETE_GENOMICS ss163085900 Jul 04, 2010 (132)
40 COMPLETE_GENOMICS ss166129245 Jul 04, 2010 (132)
41 ILLUMINA ss171228770 Jul 04, 2010 (132)
42 ILLUMINA ss173316530 Jul 04, 2010 (132)
43 BUSHMAN ss202109302 Jul 04, 2010 (132)
44 BCM-HGSC-SUB ss206037413 Jul 04, 2010 (132)
45 1000GENOMES ss219970733 Jul 14, 2010 (132)
46 1000GENOMES ss231700273 Jul 14, 2010 (132)
47 1000GENOMES ss239135773 Jul 15, 2010 (132)
48 BL ss252921812 May 09, 2011 (134)
49 GMI ss277006549 May 04, 2012 (137)
50 GMI ss284591693 Apr 25, 2013 (138)
51 PJP ss292858683 May 09, 2011 (134)
52 ILLUMINA ss410922633 Sep 17, 2011 (135)
53 ILLUMINA ss480551095 May 04, 2012 (137)
54 ILLUMINA ss480565144 May 04, 2012 (137)
55 ILLUMINA ss481381186 Sep 08, 2015 (146)
56 ILLUMINA ss485071255 May 04, 2012 (137)
57 ILLUMINA ss537084141 Sep 08, 2015 (146)
58 TISHKOFF ss556413296 Apr 25, 2013 (138)
59 SSMP ss650078280 Apr 25, 2013 (138)
60 ILLUMINA ss778867310 Sep 08, 2015 (146)
61 ILLUMINA ss782981899 Sep 08, 2015 (146)
62 ILLUMINA ss783942908 Sep 08, 2015 (146)
63 ILLUMINA ss825462940 Jul 19, 2016 (147)
64 ILLUMINA ss832238449 Sep 08, 2015 (146)
65 ILLUMINA ss832897720 Jul 13, 2019 (153)
66 ILLUMINA ss834328170 Sep 08, 2015 (146)
67 EVA-GONL ss978252095 Aug 21, 2014 (142)
68 JMKIDD_LAB ss1070160676 Aug 21, 2014 (142)
69 1000GENOMES ss1302724772 Aug 21, 2014 (142)
70 HAMMER_LAB ss1397329047 Sep 08, 2015 (146)
71 DDI ss1429324832 Apr 01, 2015 (144)
72 EVA_GENOME_DK ss1579837581 Apr 01, 2015 (144)
73 EVA_DECODE ss1587712195 Apr 01, 2015 (144)
74 EVA_UK10K_ALSPAC ss1606372921 Apr 01, 2015 (144)
75 EVA_UK10K_TWINSUK ss1649366954 Apr 01, 2015 (144)
76 EVA_SVP ss1712552146 Apr 01, 2015 (144)
77 ILLUMINA ss1752486612 Sep 08, 2015 (146)
78 HAMMER_LAB ss1798826698 Sep 08, 2015 (146)
79 WEILL_CORNELL_DGM ss1921503656 Feb 12, 2016 (147)
80 GENOMED ss1969318772 Jul 19, 2016 (147)
81 JJLAB ss2021304627 Sep 14, 2016 (149)
82 USC_VALOUEV ss2149371858 Dec 20, 2016 (150)
83 HUMAN_LONGEVITY ss2248922258 Dec 20, 2016 (150)
84 SYSTEMSBIOZJU ss2625152833 Nov 08, 2017 (151)
85 ILLUMINA ss2633908589 Nov 08, 2017 (151)
86 GRF ss2704730700 Nov 08, 2017 (151)
87 GNOMAD ss2789315774 Nov 08, 2017 (151)
88 AFFY ss2985246115 Nov 08, 2017 (151)
89 AFFY ss2985865349 Nov 08, 2017 (151)
90 SWEGEN ss2991798794 Nov 08, 2017 (151)
91 BIOINF_KMB_FNS_UNIBA ss3024415254 Nov 08, 2017 (151)
92 CSHL ss3344875951 Nov 08, 2017 (151)
93 ILLUMINA ss3625807520 Oct 11, 2018 (152)
94 ILLUMINA ss3628584986 Oct 11, 2018 (152)
95 ILLUMINA ss3631857422 Oct 11, 2018 (152)
96 ILLUMINA ss3633281140 Oct 11, 2018 (152)
97 ILLUMINA ss3633997561 Oct 11, 2018 (152)
98 ILLUMINA ss3634878991 Oct 11, 2018 (152)
99 ILLUMINA ss3635681779 Oct 11, 2018 (152)
100 ILLUMINA ss3636575232 Oct 11, 2018 (152)
101 ILLUMINA ss3637434076 Oct 11, 2018 (152)
102 ILLUMINA ss3638395758 Oct 11, 2018 (152)
103 ILLUMINA ss3639201671 Oct 11, 2018 (152)
104 ILLUMINA ss3639618285 Oct 11, 2018 (152)
105 ILLUMINA ss3640586294 Oct 11, 2018 (152)
106 ILLUMINA ss3643354224 Oct 11, 2018 (152)
107 URBANLAB ss3647336465 Oct 11, 2018 (152)
108 ILLUMINA ss3654014608 Oct 11, 2018 (152)
109 EGCUT_WGS ss3659698703 Jul 13, 2019 (153)
110 EVA_DECODE ss3708598104 Jul 13, 2019 (153)
111 ACPOP ss3729615686 Jul 13, 2019 (153)
112 ILLUMINA ss3745178802 Jul 13, 2019 (153)
113 EVA ss3759636108 Jul 13, 2019 (153)
114 ILLUMINA ss3772674607 Jul 13, 2019 (153)
115 KHV_HUMAN_GENOMES ss3802787891 Jul 13, 2019 (153)
116 EVA ss3827651659 Apr 25, 2020 (154)
117 EVA ss3837247592 Apr 25, 2020 (154)
118 EVA ss3842671345 Apr 25, 2020 (154)
119 HGDP ss3847697121 Apr 25, 2020 (154)
120 SGDP_PRJ ss3855186425 Apr 25, 2020 (154)
121 KRGDB ss3900953452 Apr 25, 2020 (154)
122 KOGIC ss3950623383 Apr 25, 2020 (154)
123 EVA ss3984502591 Apr 26, 2021 (155)
124 EVA ss3984971595 Apr 26, 2021 (155)
125 TOPMED ss4553566788 Apr 26, 2021 (155)
126 TOMMO_GENOMICS ss5157709734 Apr 26, 2021 (155)
127 1000G_HIGH_COVERAGE ss5252980828 Oct 13, 2022 (156)
128 EVA ss5314831918 Oct 13, 2022 (156)
129 EVA ss5337766425 Oct 13, 2022 (156)
130 HUGCELL_USP ss5452489308 Oct 13, 2022 (156)
131 1000G_HIGH_COVERAGE ss5530780469 Oct 13, 2022 (156)
132 SANFORD_IMAGENETICS ss5631504515 Oct 13, 2022 (156)
133 TOMMO_GENOMICS ss5688951170 Oct 13, 2022 (156)
134 EVA ss5799568957 Oct 13, 2022 (156)
135 YY_MCH ss5803464006 Oct 13, 2022 (156)
136 EVA ss5825319898 Oct 13, 2022 (156)
137 EVA ss5853482322 Oct 13, 2022 (156)
138 EVA ss5867551445 Oct 13, 2022 (156)
139 EVA ss5959762219 Oct 13, 2022 (156)
140 1000Genomes NC_000003.11 - 8797042 Oct 11, 2018 (152)
141 1000Genomes_30x NC_000003.12 - 8755356 Oct 13, 2022 (156)
142 The Avon Longitudinal Study of Parents and Children NC_000003.11 - 8797042 Oct 11, 2018 (152)
143 Genome-wide autozygosity in Daghestan NC_000003.10 - 8772042 Apr 25, 2020 (154)
144 Genetic variation in the Estonian population NC_000003.11 - 8797042 Oct 11, 2018 (152)
145 The Danish reference pan genome NC_000003.11 - 8797042 Apr 25, 2020 (154)
146 gnomAD - Genomes

Submission ignored due to conflicting rows:
Row 98486392 (NC_000003.12:8755355:G:A 88046/140082)
Row 98486393 (NC_000003.12:8755355:G:C 1/140140)

- Apr 26, 2021 (155)
147 gnomAD - Genomes

Submission ignored due to conflicting rows:
Row 98486392 (NC_000003.12:8755355:G:A 88046/140082)
Row 98486393 (NC_000003.12:8755355:G:C 1/140140)

- Apr 26, 2021 (155)
148 Genome of the Netherlands Release 5 NC_000003.11 - 8797042 Apr 25, 2020 (154)
149 HGDP-CEPH-db Supplement 1 NC_000003.10 - 8772042 Apr 25, 2020 (154)
150 HapMap NC_000003.12 - 8755356 Apr 25, 2020 (154)
151 KOREAN population from KRGDB NC_000003.11 - 8797042 Apr 25, 2020 (154)
152 Korean Genome Project NC_000003.12 - 8755356 Apr 25, 2020 (154)
153 Northern Sweden NC_000003.11 - 8797042 Jul 13, 2019 (153)
154 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000003.11 - 8797042 Apr 26, 2021 (155)
155 CNV burdens in cranial meningiomas NC_000003.11 - 8797042 Apr 26, 2021 (155)
156 Qatari NC_000003.11 - 8797042 Apr 25, 2020 (154)
157 SGDP_PRJ NC_000003.11 - 8797042 Apr 25, 2020 (154)
158 Siberian NC_000003.11 - 8797042 Apr 25, 2020 (154)
159 8.3KJPN NC_000003.11 - 8797042 Apr 26, 2021 (155)
160 14KJPN NC_000003.12 - 8755356 Oct 13, 2022 (156)
161 TopMed NC_000003.12 - 8755356 Apr 26, 2021 (155)
162 UK 10K study - Twins NC_000003.11 - 8797042 Oct 11, 2018 (152)
163 A Vietnamese Genetic Variation Database NC_000003.11 - 8797042 Jul 13, 2019 (153)
164 ALFA NC_000003.12 - 8755356 Apr 26, 2021 (155)
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)
rs345111 Sep 19, 2000 (85)
rs59616556 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss77509686, ss79944198, ss83044280, ss85429063, ss3639201671, ss3639618285 NC_000003.9:8772041:G:A NC_000003.12:8755355:G:A (self)
305161, 375013, ss91992519, ss111225223, ss112052228, ss116967887, ss161915026, ss163085900, ss166129245, ss202109302, ss206037413, ss252921812, ss277006549, ss284591693, ss292858683, ss480551095, ss825462940, ss1397329047, ss1587712195, ss1712552146, ss3643354224, ss3847697121 NC_000003.10:8772041:G:A NC_000003.12:8755355:G:A (self)
13866954, 7686003, 5436951, 6002520, 3375476, 8130846, 2900551, 197522, 51933, 3545586, 7203405, 1888212, 15679041, 7686003, 1673719, ss219970733, ss231700273, ss239135773, ss480565144, ss481381186, ss485071255, ss537084141, ss556413296, ss650078280, ss778867310, ss782981899, ss783942908, ss832238449, ss832897720, ss834328170, ss978252095, ss1070160676, ss1302724772, ss1429324832, ss1579837581, ss1606372921, ss1649366954, ss1752486612, ss1798826698, ss1921503656, ss1969318772, ss2021304627, ss2149371858, ss2625152833, ss2633908589, ss2704730700, ss2789315774, ss2985246115, ss2985865349, ss2991798794, ss3344875951, ss3625807520, ss3628584986, ss3631857422, ss3633281140, ss3633997561, ss3634878991, ss3635681779, ss3636575232, ss3637434076, ss3638395758, ss3640586294, ss3654014608, ss3659698703, ss3729615686, ss3745178802, ss3759636108, ss3772674607, ss3827651659, ss3837247592, ss3855186425, ss3900953452, ss3984502591, ss3984971595, ss5157709734, ss5314831918, ss5337766425, ss5631504515, ss5799568957, ss5825319898, ss5959762219 NC_000003.11:8797041:G:A NC_000003.12:8755355:G:A (self)
18306404, 2299042, 7001384, 22788274, 390944343, 2962754873, ss2248922258, ss3024415254, ss3647336465, ss3708598104, ss3802787891, ss3842671345, ss3950623383, ss4553566788, ss5252980828, ss5452489308, ss5530780469, ss5688951170, ss5803464006, ss5853482322, ss5867551445 NC_000003.12:8755355:G:A NC_000003.12:8755355:G:A (self)
ss14308738, ss16954547, ss20160262 NT_022517.16:8737041:G:A NC_000003.12:8755355:G:A (self)
ss306653, ss439093, ss604079, ss1014567, ss1055342, ss1652909, ss4065941, ss23914323, ss44473107, ss66613228, ss67250392, ss67648020, ss68852183, ss70728727, ss71297932, ss75452139, ss79132422, ss83397827, ss95983125, ss103897854, ss122019959, ss133252752, ss138713603, ss153908093, ss159385954, ss160541689, ss171228770, ss173316530, ss410922633 NT_022517.18:8737041:G:A NC_000003.12:8755355:G:A (self)
2962754873 NC_000003.12:8755355:G:C NC_000003.12:8755355:G: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.

36 citations for rs237887
PMID Title Author Year Journal
17668382 Type 2 diabetes whole-genome association study in four populations: the DiaGen consortium. Salonen JT et al. 2007 American journal of human genetics
19461999 The oxytocin receptor (OXTR) contributes to prosocial fund allocations in the dictator game and the social value orientations task. Israel S et al. 2009 PloS one
20196918 Schizophrenia severity and clozapine treatment outcome association with oxytocinergic genes. Souza RP et al. 2010 The international journal of neuropsychopharmacology
20585395 No association between oxytocin receptor (OXTR) gene polymorphisms and experimentally elicited social preferences. Apicella CL et al. 2010 PloS one
21484202 Association of oxytocin receptor (OXTR) gene variants with multiple phenotype domains of autism spectrum disorder. Campbell DB et al. 2011 Journal of neurodevelopmental disorders
22015110 Variation in the oxytocin receptor gene is associated with pair-bonding and social behavior. Walum H et al. 2012 Biological psychiatry
22357335 The association between oxytocin receptor gene polymorphism (OXTR) and trait empathy. Wu N et al. 2012 Journal of affective disorders
22736892 Oxytocin in schizophrenia: a review of evidence for its therapeutic effects. Macdonald K et al. 2012 Acta neuropsychiatrica
23168575 Candidate gene linkage approach to identify DNA variants that predispose to preterm birth. Bream EN et al. 2013 Pediatric research
23284802 Association between oxytocin receptor gene polymorphisms and self-rated 'empathic concern' in schizophrenia. Montag C et al. 2012 PloS one
23547247 Variation in oxytocin receptor gene (OXTR) polymorphisms is associated with emotional and behavioral reactions to betrayal. Tabak BA et al. 2014 Social cognitive and affective neuroscience
24367110 Common polymorphism in the oxytocin receptor gene (OXTR) is associated with human social recognition skills. Skuse DH et al. 2014 Proceedings of the National Academy of Sciences of the United States of America
25009457 Social bonding: regulation by neuropeptides. Lieberwirth C et al. 2014 Frontiers in neuroscience
25092245 The oxytocin receptor gene (OXTR) is associated with autism spectrum disorder: a meta-analysis. LoParo D et al. 2015 Molecular psychiatry
25309987 Clock gene modulates roles of OXTR and AVPR1b genes in prosociality. Ci H et al. 2014 PloS one
26322220 A comprehensive meta-analysis of common genetic variants in autism spectrum conditions. Warrier V et al. 2015 Molecular autism
26599592 Lack of Association between Oxytocin Receptor (OXTR) Gene Polymorphisms and Alexithymia: Evidence from Patients with Obsessive-Compulsive Disorder. Koh MJ et al. 2015 PloS one
26713079 Is Oxytocin Application for Autism Spectrum Disorder Evidence-Based? Lee SY et al. 2015 Experimental neurobiology
26858594 Oxytocin and Vasopressin Receptor Gene Polymorphisms: Role in Social and Psychiatric Traits. Aspé-Sánchez M et al. 2015 Frontiers in neuroscience
26869977 The Adapting Mind in the Genomic Era. Fieder M et al. 2016 Frontiers in psychology
27071789 The Potential of Nasal Oxytocin Administration for Remediation of Autism Spectrum Disorders. Okamoto Y et al. 2016 CNS & neurological disorders drug targets
27458336 Genetic Syndromes, Maternal Diseases and Antenatal Factors Associated with Autism Spectrum Disorders (ASD). Ornoy A et al. 2016 Frontiers in neuroscience
27467763 Association of a Common Oxytocin Receptor Gene Polymorphism with Self-Reported 'Empathic Concern' in a Large Population of Healthy Volunteers. Huetter FK et al. 2016 PloS one
27713694 Variation in the Oxytocin Receptor Gene Is Associated with Face Recognition and its Neural Correlates. Westberg L et al. 2016 Frontiers in behavioral neuroscience
27837182 The Oxytocin Receptor Gene ( OXTR) and Face Recognition. Verhallen RJ et al. 2017 Psychological science
27920663 ASD and Genetic Associations with Receptors for Oxytocin and Vasopressin-AVPR1A, AVPR1B, and OXTR. Francis SM et al. 2016 Frontiers in neuroscience
28912494 Oxytocin Receptor Polymorphisms are Differentially Associated with Social Abilities across Neurodevelopmental Disorders. Baribeau DA et al. 2017 Scientific reports
28915380 Oxytocin receptor gene polymorphisms exert a modulating effect on the onset age in patients with obsessive-compulsive disorder. Kang JI et al. 2017 Psychoneuroendocrinology
29851255 Variations in the oxytocin receptor gene and prosocial behavior: moderating effects of situational factors. Wu N et al. 2018 Integrative zoology
30093869 Biological Predictors of Clozapine Response: A Systematic Review. Samanaite R et al. 2018 Frontiers in psychiatry
30311451 Oxytocin receptor gene variants are associated with emotion recognition and resilience, but not with false-belief reasoning performance in healthy young Korean volunteers. Kim HW et al. 2019 CNS neuroscience & therapeutics
31025834 Cumulative Risk of the Oxytocin Receptor Gene Interacts with Prenatal Exposure to Oxytocin Receptor Antagonist to Predict Children's Social Communication Development. Friedlander E et al. 2019 Autism research
31415827 Oxytocin modulation of self-referential processing is partly replicable and sensitive to oxytocin receptor genotype. Zhao W et al. 2020 Progress in neuro-psychopharmacology & biological psychiatry
32060678 The Association of Oxytocin Receptor Gene (OXTR) Polymorphisms with Antisocial Behavior: A Meta-analysis. Poore HE et al. 2020 Behavior genetics
32757697 Further evidence for the association of GAL, GALR1 and NPY1R variants with opioid dependence. Randesi M et al. 2020 Pharmacogenomics
34144447 Gene-environment interaction: Oxytocin receptor (OXTR) polymorphisms and parenting style as potential predictors for depressive symptoms. Keijser R et al. 2021 Psychiatry research
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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
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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.
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Software version is: 2.0.1.post761+d5e8e07