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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.

rs7983232

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr13:22163460 (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>G
Variation Type
SNV Single Nucleotide Variation
Frequency
G=0.358219 (94817/264690, TOPMED)
G=0.320727 (50816/158440, ALFA)
G=0.350210 (48904/139642, GnomAD) (+ 21 more)
G=0.40032 (31505/78700, PAGE_STUDY)
G=0.49742 (14054/28254, 14KJPN)
A=0.49857 (8356/16760, 8.3KJPN)
G=0.3826 (2450/6404, 1000G_30x)
G=0.3826 (1916/5008, 1000G)
G=0.3007 (1347/4480, Estonian)
G=0.3007 (1159/3854, ALSPAC)
G=0.3185 (1181/3708, TWINSUK)
G=0.4413 (1293/2930, KOREAN)
G=0.3666 (764/2084, HGDP_Stanford)
G=0.4215 (795/1886, HapMap)
G=0.4634 (849/1832, Korea1K)
G=0.307 (306/998, GoNL)
G=0.447 (351/786, PRJEB37584)
G=0.350 (210/600, NorthernSweden)
A=0.374 (128/342, SGDP_PRJ)
G=0.407 (88/216, Qatari)
G=0.332 (71/214, Vietnamese)
G=0.17 (7/40, GENOME_DK)
A=0.35 (9/26, Siberian)
G=0.2 (2/8, Ancient Sardinia)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
None
Publications
1 citation
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 158440 A=0.679273 G=0.320727
European Sub 137366 A=0.687987 G=0.312013
African Sub 6112 A=0.5879 G=0.4121
African Others Sub 228 A=0.544 G=0.456
African American Sub 5884 A=0.5896 G=0.4104
Asian Sub 670 A=0.582 G=0.418
East Asian Sub 534 A=0.577 G=0.423
Other Asian Sub 136 A=0.603 G=0.397
Latin American 1 Sub 822 A=0.620 G=0.380
Latin American 2 Sub 6754 A=0.6275 G=0.3725
South Asian Sub 212 A=0.608 G=0.392
Other Sub 6504 A=0.6547 G=0.3453


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=0.641781 G=0.358219
Allele Frequency Aggregator Total Global 158440 A=0.679273 G=0.320727
Allele Frequency Aggregator European Sub 137366 A=0.687987 G=0.312013
Allele Frequency Aggregator Latin American 2 Sub 6754 A=0.6275 G=0.3725
Allele Frequency Aggregator Other Sub 6504 A=0.6547 G=0.3453
Allele Frequency Aggregator African Sub 6112 A=0.5879 G=0.4121
Allele Frequency Aggregator Latin American 1 Sub 822 A=0.620 G=0.380
Allele Frequency Aggregator Asian Sub 670 A=0.582 G=0.418
Allele Frequency Aggregator South Asian Sub 212 A=0.608 G=0.392
gnomAD - Genomes Global Study-wide 139642 A=0.649790 G=0.350210
gnomAD - Genomes European Sub 75618 A=0.69105 G=0.30895
gnomAD - Genomes African Sub 41858 A=0.58636 G=0.41364
gnomAD - Genomes American Sub 13602 A=0.63674 G=0.36326
gnomAD - Genomes Ashkenazi Jewish Sub 3310 A=0.6296 G=0.3704
gnomAD - Genomes East Asian Sub 3112 A=0.5958 G=0.4042
gnomAD - Genomes Other Sub 2142 A=0.6251 G=0.3749
The PAGE Study Global Study-wide 78700 A=0.59968 G=0.40032
The PAGE Study AfricanAmerican Sub 32514 A=0.58221 G=0.41779
The PAGE Study Mexican Sub 10810 A=0.63201 G=0.36799
The PAGE Study Asian Sub 8318 A=0.5227 G=0.4773
The PAGE Study PuertoRican Sub 7918 A=0.6468 G=0.3532
The PAGE Study NativeHawaiian Sub 4534 A=0.6427 G=0.3573
The PAGE Study Cuban Sub 4230 A=0.6622 G=0.3378
The PAGE Study Dominican Sub 3828 A=0.6097 G=0.3903
The PAGE Study CentralAmerican Sub 2450 A=0.6016 G=0.3984
The PAGE Study SouthAmerican Sub 1982 A=0.6004 G=0.3996
The PAGE Study NativeAmerican Sub 1260 A=0.6063 G=0.3937
The PAGE Study SouthAsian Sub 856 A=0.569 G=0.431
14KJPN JAPANESE Study-wide 28254 A=0.50258 G=0.49742
8.3KJPN JAPANESE Study-wide 16760 A=0.49857 G=0.50143
1000Genomes_30x Global Study-wide 6404 A=0.6174 G=0.3826
1000Genomes_30x African Sub 1786 A=0.5420 G=0.4580
1000Genomes_30x Europe Sub 1266 A=0.7085 G=0.2915
1000Genomes_30x South Asian Sub 1202 A=0.5965 G=0.4035
1000Genomes_30x East Asian Sub 1170 A=0.6333 G=0.3667
1000Genomes_30x American Sub 980 A=0.644 G=0.356
1000Genomes Global Study-wide 5008 A=0.6174 G=0.3826
1000Genomes African Sub 1322 A=0.5310 G=0.4690
1000Genomes East Asian Sub 1008 A=0.6280 G=0.3720
1000Genomes Europe Sub 1006 A=0.7068 G=0.2932
1000Genomes South Asian Sub 978 A=0.604 G=0.396
1000Genomes American Sub 694 A=0.656 G=0.344
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.6993 G=0.3007
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.6993 G=0.3007
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.6815 G=0.3185
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.5587 G=0.4413
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 A=0.6334 G=0.3666
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 A=0.555 G=0.445
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 A=0.684 G=0.316
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 A=0.691 G=0.309
HGDP-CEPH-db Supplement 1 Europe Sub 320 A=0.678 G=0.322
HGDP-CEPH-db Supplement 1 Africa Sub 242 A=0.587 G=0.413
HGDP-CEPH-db Supplement 1 America Sub 216 A=0.588 G=0.412
HGDP-CEPH-db Supplement 1 Oceania Sub 72 A=0.67 G=0.33
HapMap Global Study-wide 1886 A=0.5785 G=0.4215
HapMap American Sub 768 A=0.651 G=0.349
HapMap African Sub 690 A=0.478 G=0.522
HapMap Asian Sub 254 A=0.543 G=0.457
HapMap Europe Sub 174 A=0.707 G=0.293
Korean Genome Project KOREAN Study-wide 1832 A=0.5366 G=0.4634
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.693 G=0.307
CNV burdens in cranial meningiomas Global Study-wide 786 A=0.553 G=0.447
CNV burdens in cranial meningiomas CRM Sub 786 A=0.553 G=0.447
Northern Sweden ACPOP Study-wide 600 A=0.650 G=0.350
SGDP_PRJ Global Study-wide 342 A=0.374 G=0.626
Qatari Global Study-wide 216 A=0.593 G=0.407
A Vietnamese Genetic Variation Database Global Study-wide 214 A=0.668 G=0.332
The Danish reference pan genome Danish Study-wide 40 A=0.82 G=0.17
Siberian Global Study-wide 26 A=0.35 G=0.65
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 8 A=0.8 G=0.2
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 13 NC_000013.11:g.22163460A>G
GRCh37.p13 chr 13 NC_000013.10:g.22737599A>G
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 A= G
GRCh38.p14 chr 13 NC_000013.11:g.22163460= NC_000013.11:g.22163460A>G
GRCh37.p13 chr 13 NC_000013.10:g.22737599= NC_000013.10:g.22737599A>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#.

114 SubSNP, 24 Frequency submissions
No Submitter Submission ID Date (Build)
1 WI_SSAHASNP ss12232132 Jul 11, 2003 (116)
2 SC_SNP ss13165895 Dec 05, 2003 (123)
3 PERLEGEN ss23993714 Sep 20, 2004 (123)
4 ILLUMINA ss66693133 Nov 29, 2006 (127)
5 ILLUMINA ss67856122 Nov 29, 2006 (127)
6 ILLUMINA ss68006955 Nov 29, 2006 (127)
7 HGSV ss81466081 Dec 14, 2007 (130)
8 KRIBB_YJKIM ss84763089 Dec 14, 2007 (130)
9 BCMHGSC_JDW ss89520598 Mar 24, 2008 (129)
10 1000GENOMES ss112598851 Jan 25, 2009 (130)
11 1000GENOMES ss114387322 Jan 25, 2009 (130)
12 ILLUMINA-UK ss118381057 Dec 01, 2009 (131)
13 ENSEMBL ss133472836 Dec 01, 2009 (131)
14 GMI ss158132171 Dec 01, 2009 (131)
15 COMPLETE_GENOMICS ss168906943 Jul 04, 2010 (132)
16 BUSHMAN ss198945907 Jul 04, 2010 (132)
17 BCM-HGSC-SUB ss208586778 Jul 04, 2010 (132)
18 1000GENOMES ss226068942 Jul 14, 2010 (132)
19 1000GENOMES ss236167233 Jul 15, 2010 (132)
20 1000GENOMES ss242679543 Jul 15, 2010 (132)
21 BL ss254834385 May 09, 2011 (134)
22 GMI ss281629089 May 04, 2012 (137)
23 GMI ss286663975 Apr 25, 2013 (138)
24 PJP ss291552191 May 09, 2011 (134)
25 ILLUMINA ss481740955 May 04, 2012 (142)
26 ILLUMINA ss481772712 May 04, 2012 (142)
27 ILLUMINA ss482737395 Sep 08, 2015 (146)
28 ILLUMINA ss485665224 May 04, 2012 (142)
29 ILLUMINA ss537539630 Sep 08, 2015 (146)
30 TISHKOFF ss563536811 Apr 25, 2013 (138)
31 SSMP ss659129375 Apr 25, 2013 (138)
32 ILLUMINA ss778993267 Sep 08, 2015 (146)
33 ILLUMINA ss783278184 Sep 08, 2015 (146)
34 ILLUMINA ss784231218 Sep 08, 2015 (146)
35 ILLUMINA ss825607525 Apr 01, 2015 (144)
36 ILLUMINA ss832539291 Sep 08, 2015 (146)
37 ILLUMINA ss833146234 Jul 13, 2019 (153)
38 ILLUMINA ss834455544 Sep 08, 2015 (146)
39 EVA-GONL ss990171195 Aug 21, 2014 (142)
40 JMKIDD_LAB ss1078921356 Aug 21, 2014 (142)
41 1000GENOMES ss1347422206 Aug 21, 2014 (142)
42 DDI ss1427120059 Apr 01, 2015 (144)
43 EVA_GENOME_DK ss1576656266 Apr 01, 2015 (144)
44 EVA_UK10K_ALSPAC ss1629851175 Apr 01, 2015 (144)
45 EVA_DECODE ss1642277528 Apr 01, 2015 (144)
46 EVA_UK10K_TWINSUK ss1672845208 Apr 01, 2015 (144)
47 EVA_SVP ss1713373776 Apr 01, 2015 (144)
48 ILLUMINA ss1752096490 Sep 08, 2015 (146)
49 HAMMER_LAB ss1807515806 Sep 08, 2015 (146)
50 WEILL_CORNELL_DGM ss1933538462 Feb 12, 2016 (147)
51 ILLUMINA ss1959485103 Feb 12, 2016 (147)
52 GENOMED ss1967728230 Jul 19, 2016 (147)
53 JJLAB ss2027522443 Sep 14, 2016 (149)
54 USC_VALOUEV ss2155885330 Dec 20, 2016 (150)
55 HUMAN_LONGEVITY ss2194733380 Dec 20, 2016 (150)
56 SYSTEMSBIOZJU ss2628248022 Nov 08, 2017 (151)
57 ILLUMINA ss2633036308 Nov 08, 2017 (151)
58 GRF ss2700256065 Nov 08, 2017 (151)
59 GNOMAD ss2917402196 Nov 08, 2017 (151)
60 SWEGEN ss3010688334 Nov 08, 2017 (151)
61 ILLUMINA ss3021488817 Nov 08, 2017 (151)
62 BIOINF_KMB_FNS_UNIBA ss3027574756 Nov 08, 2017 (151)
63 CSHL ss3350353628 Nov 08, 2017 (151)
64 ILLUMINA ss3625639443 Oct 12, 2018 (152)
65 ILLUMINA ss3627016962 Oct 12, 2018 (152)
66 ILLUMINA ss3631040975 Oct 12, 2018 (152)
67 ILLUMINA ss3633041875 Oct 12, 2018 (152)
68 ILLUMINA ss3633743888 Oct 12, 2018 (152)
69 ILLUMINA ss3634534436 Oct 12, 2018 (152)
70 ILLUMINA ss3635434163 Oct 12, 2018 (152)
71 ILLUMINA ss3636220871 Oct 12, 2018 (152)
72 ILLUMINA ss3637185208 Oct 12, 2018 (152)
73 ILLUMINA ss3637998940 Oct 12, 2018 (152)
74 ILLUMINA ss3639012257 Oct 12, 2018 (152)
75 ILLUMINA ss3639509314 Oct 12, 2018 (152)
76 ILLUMINA ss3640241769 Oct 12, 2018 (152)
77 ILLUMINA ss3642989738 Oct 12, 2018 (152)
78 ILLUMINA ss3644608772 Oct 12, 2018 (152)
79 ILLUMINA ss3651873647 Oct 12, 2018 (152)
80 EGCUT_WGS ss3677957431 Jul 13, 2019 (153)
81 EVA_DECODE ss3694886963 Jul 13, 2019 (153)
82 ILLUMINA ss3725376627 Jul 13, 2019 (153)
83 ACPOP ss3739563457 Jul 13, 2019 (153)
84 ILLUMINA ss3744835192 Jul 13, 2019 (153)
85 EVA ss3751211110 Jul 13, 2019 (153)
86 PAGE_CC ss3771732838 Jul 13, 2019 (153)
87 ILLUMINA ss3772334320 Jul 13, 2019 (153)
88 KHV_HUMAN_GENOMES ss3816541503 Jul 13, 2019 (153)
89 EVA ss3833436236 Apr 27, 2020 (154)
90 HGDP ss3847470994 Apr 27, 2020 (154)
91 SGDP_PRJ ss3879552833 Apr 27, 2020 (154)
92 KRGDB ss3928366600 Apr 27, 2020 (154)
93 KOGIC ss3973170254 Apr 27, 2020 (154)
94 EVA ss3984676733 Apr 26, 2021 (155)
95 EVA ss3985627412 Apr 26, 2021 (155)
96 EVA ss4017621467 Apr 26, 2021 (155)
97 TOPMED ss4939363302 Apr 26, 2021 (155)
98 TOMMO_GENOMICS ss5209096426 Apr 26, 2021 (155)
99 EVA ss5237522628 Apr 26, 2021 (155)
100 1000G_HIGH_COVERAGE ss5293030673 Oct 16, 2022 (156)
101 EVA ss5315666595 Oct 16, 2022 (156)
102 HUGCELL_USP ss5487466627 Oct 16, 2022 (156)
103 1000G_HIGH_COVERAGE ss5591636089 Oct 16, 2022 (156)
104 SANFORD_IMAGENETICS ss5624318514 Oct 16, 2022 (156)
105 SANFORD_IMAGENETICS ss5654361562 Oct 16, 2022 (156)
106 TOMMO_GENOMICS ss5760715052 Oct 16, 2022 (156)
107 EVA ss5799890513 Oct 16, 2022 (156)
108 YY_MCH ss5813929913 Oct 16, 2022 (156)
109 EVA ss5839193982 Oct 16, 2022 (156)
110 EVA ss5847420314 Oct 16, 2022 (156)
111 EVA ss5850637428 Oct 16, 2022 (156)
112 EVA ss5924298194 Oct 16, 2022 (156)
113 EVA ss5945767095 Oct 16, 2022 (156)
114 EVA ss5979411444 Oct 16, 2022 (156)
115 1000Genomes NC_000013.10 - 22737599 Oct 12, 2018 (152)
116 1000Genomes_30x NC_000013.11 - 22163460 Oct 16, 2022 (156)
117 The Avon Longitudinal Study of Parents and Children NC_000013.10 - 22737599 Oct 12, 2018 (152)
118 Genetic variation in the Estonian population NC_000013.10 - 22737599 Oct 12, 2018 (152)
119 The Danish reference pan genome NC_000013.10 - 22737599 Apr 27, 2020 (154)
120 gnomAD - Genomes NC_000013.11 - 22163460 Apr 26, 2021 (155)
121 Genome of the Netherlands Release 5 NC_000013.10 - 22737599 Apr 27, 2020 (154)
122 HGDP-CEPH-db Supplement 1 NC_000013.9 - 21635599 Apr 27, 2020 (154)
123 HapMap NC_000013.11 - 22163460 Apr 27, 2020 (154)
124 KOREAN population from KRGDB NC_000013.10 - 22737599 Apr 27, 2020 (154)
125 Korean Genome Project NC_000013.11 - 22163460 Apr 27, 2020 (154)
126 Northern Sweden NC_000013.10 - 22737599 Jul 13, 2019 (153)
127 The PAGE Study NC_000013.11 - 22163460 Jul 13, 2019 (153)
128 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000013.10 - 22737599 Apr 26, 2021 (155)
129 CNV burdens in cranial meningiomas NC_000013.10 - 22737599 Apr 26, 2021 (155)
130 Qatari NC_000013.10 - 22737599 Apr 27, 2020 (154)
131 SGDP_PRJ NC_000013.10 - 22737599 Apr 27, 2020 (154)
132 Siberian NC_000013.10 - 22737599 Apr 27, 2020 (154)
133 8.3KJPN NC_000013.10 - 22737599 Apr 26, 2021 (155)
134 14KJPN NC_000013.11 - 22163460 Oct 16, 2022 (156)
135 TopMed NC_000013.11 - 22163460 Apr 26, 2021 (155)
136 UK 10K study - Twins NC_000013.10 - 22737599 Oct 12, 2018 (152)
137 A Vietnamese Genetic Variation Database NC_000013.10 - 22737599 Jul 13, 2019 (153)
138 ALFA NC_000013.11 - 22163460 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)
rs9510007 Sep 24, 2004 (123)
rs17532396 Oct 08, 2004 (123)
rs58078353 May 24, 2008 (130)
rs79497840 Aug 21, 2014 (142)
rs199988946 Aug 21, 2014 (142)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
148886, ss81466081, ss89520598, ss112598851, ss114387322, ss118381057, ss168906943, ss198945907, ss208586778, ss254834385, ss281629089, ss286663975, ss291552191, ss481740955, ss825607525, ss1642277528, ss1713373776, ss3639012257, ss3639509314, ss3642989738, ss3847470994 NC_000013.9:21635598:A:G NC_000013.11:22163459:A:G (self)
60262740, 33466411, 23695679, 3210357, 14929368, 35543994, 12848322, 853339, 226231, 15580392, 31569813, 8401684, 67065733, 33466411, 7422144, ss226068942, ss236167233, ss242679543, ss481772712, ss482737395, ss485665224, ss537539630, ss563536811, ss659129375, ss778993267, ss783278184, ss784231218, ss832539291, ss833146234, ss834455544, ss990171195, ss1078921356, ss1347422206, ss1427120059, ss1576656266, ss1629851175, ss1672845208, ss1752096490, ss1807515806, ss1933538462, ss1959485103, ss1967728230, ss2027522443, ss2155885330, ss2628248022, ss2633036308, ss2700256065, ss2917402196, ss3010688334, ss3021488817, ss3350353628, ss3625639443, ss3627016962, ss3631040975, ss3633041875, ss3633743888, ss3634534436, ss3635434163, ss3636220871, ss3637185208, ss3637998940, ss3640241769, ss3644608772, ss3651873647, ss3677957431, ss3739563457, ss3744835192, ss3751211110, ss3772334320, ss3833436236, ss3879552833, ss3928366600, ss3984676733, ss3985627412, ss4017621467, ss5209096426, ss5237522628, ss5315666595, ss5624318514, ss5654361562, ss5799890513, ss5839193982, ss5847420314, ss5945767095, ss5979411444 NC_000013.10:22737598:A:G NC_000013.11:22163459:A:G (self)
79162024, 425020585, 943659, 29548255, 954307, 94552156, 154908960, 1739403083, ss2194733380, ss3027574756, ss3694886963, ss3725376627, ss3771732838, ss3816541503, ss3973170254, ss4939363302, ss5293030673, ss5487466627, ss5591636089, ss5760715052, ss5813929913, ss5850637428, ss5924298194 NC_000013.11:22163459:A:G NC_000013.11:22163459:A:G (self)
ss12232132, ss13165895 NT_009799.12:3717598:A:G NC_000013.11:22163459:A:G (self)
ss23993714, ss66693133, ss67856122, ss68006955, ss84763089, ss133472836, ss158132171 NT_024524.14:3717598:A:G NC_000013.11:22163459:A:G (self)
Help

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

1 citation for rs7983232
PMID Title Author Year Journal
22216198 A genome-wide association study of the Protein C anticoagulant pathway. Athanasiadis G et al. 2011 PloS one
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