Name: rs13032261
Published: September 21, 2022
License: Open Access

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.

rs13032261

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr2:226403875 (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
Variation Type: SNV Single Nucleotide Variation
Frequency: C=0.438630 (116101/264690, TOPMED)
C=0.395224 (81051/205076, GENOGRAPHIC)
C=0.417539 (58443/139970, GnomAD) (+ 21 more)
C=0.39288 (30830/78472, ALFA)
A=0.20293 (5734/28256, 14KJPN)
A=0.20263 (3396/16760, 8.3KJPN)
C=0.4988 (3194/6404, 1000G_30x)
A=0.4944 (2476/5008, 1000G)
C=0.3616 (1620/4480, Estonian)
C=0.3749 (1445/3854, ALSPAC)
C=0.3676 (1363/3708, TWINSUK)
A=0.2358 (691/2930, KOREAN)
A=0.4851 (1011/2084, HGDP_Stanford)
A=0.4761 (898/1886, HapMap)
A=0.2287 (419/1832, Korea1K)
C=0.364 (363/998, GoNL)
A=0.458 (287/626, Chileans)
C=0.387 (232/600, NorthernSweden)
C=0.343 (131/382, SGDP_PRJ)
C=0.361 (78/216, Qatari)
A=0.238 (51/214, Vietnamese)
C=0.43 (24/56, Ancient Sardinia)
C=0.35 (17/48, Siberian)
C=0.42 (17/40, GENOME_DK)

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	78472	C=0.39288	A=0.60712
European	Sub	59808	C=0.37604	A=0.62396
African	Sub	7812	C=0.4521	A=0.5479
African Others	Sub	266	C=0.477	A=0.523
African American	Sub	7546	C=0.4512	A=0.5488
Asian	Sub	236	C=0.852	A=0.148
East Asian	Sub	164	C=0.841	A=0.159
Other Asian	Sub	72	C=0.88	A=0.12
Latin American 1	Sub	386	C=0.373	A=0.627
Latin American 2	Sub	3372	C=0.5101	A=0.4899
South Asian	Sub	4966	C=0.3717	A=0.6283
Other	Sub	1892	C=0.4741	A=0.5259

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=0.438630	A=0.561370
Genographic Project	Global	Study-wide	205076	C=0.395224	A=0.604776
gnomAD - Genomes	Global	Study-wide	139970	C=0.417539	A=0.582461
gnomAD - Genomes	European	Sub	75848	C=0.36861	A=0.63139
gnomAD - Genomes	African	Sub	41898	C=0.44878	A=0.55122
gnomAD - Genomes	American	Sub	13630	C=0.50337	A=0.49663
gnomAD - Genomes	Ashkenazi Jewish	Sub	3322	C=0.3871	A=0.6129
gnomAD - Genomes	East Asian	Sub	3120	C=0.8308	A=0.1692
gnomAD - Genomes	Other	Sub	2152	C=0.4382	A=0.5618
Allele Frequency Aggregator	Total	Global	78472	C=0.39288	A=0.60712
Allele Frequency Aggregator	European	Sub	59808	C=0.37604	A=0.62396
Allele Frequency Aggregator	African	Sub	7812	C=0.4521	A=0.5479
Allele Frequency Aggregator	South Asian	Sub	4966	C=0.3717	A=0.6283
Allele Frequency Aggregator	Latin American 2	Sub	3372	C=0.5101	A=0.4899
Allele Frequency Aggregator	Other	Sub	1892	C=0.4741	A=0.5259
Allele Frequency Aggregator	Latin American 1	Sub	386	C=0.373	A=0.627
Allele Frequency Aggregator	Asian	Sub	236	C=0.852	A=0.148
14KJPN	JAPANESE	Study-wide	28256	C=0.79707	A=0.20293
8.3KJPN	JAPANESE	Study-wide	16760	C=0.79737	A=0.20263
1000Genomes_30x	Global	Study-wide	6404	C=0.4988	A=0.5012
1000Genomes_30x	African	Sub	1786	C=0.4698	A=0.5302
1000Genomes_30x	Europe	Sub	1266	C=0.3633	A=0.6367
1000Genomes_30x	South Asian	Sub	1202	C=0.3960	A=0.6040
1000Genomes_30x	East Asian	Sub	1170	C=0.8265	A=0.1735
1000Genomes_30x	American	Sub	980	C=0.461	A=0.539
1000Genomes	Global	Study-wide	5008	C=0.5056	A=0.4944
1000Genomes	African	Sub	1322	C=0.4713	A=0.5287
1000Genomes	East Asian	Sub	1008	C=0.8244	A=0.1756
1000Genomes	Europe	Sub	1006	C=0.3678	A=0.6322
1000Genomes	South Asian	Sub	978	C=0.388	A=0.612
1000Genomes	American	Sub	694	C=0.474	A=0.526
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.3616	A=0.6384
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.3749	A=0.6251
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.3676	A=0.6324
KOREAN population from KRGDB	KOREAN	Study-wide	2930	C=0.7642	A=0.2358
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	C=0.5149	A=0.4851
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	C=0.702	A=0.298
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	C=0.370	A=0.630
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	C=0.446	A=0.554
HGDP-CEPH-db Supplement 1	Europe	Sub	320	C=0.362	A=0.637
HGDP-CEPH-db Supplement 1	Africa	Sub	242	C=0.426	A=0.574
HGDP-CEPH-db Supplement 1	America	Sub	216	C=0.713	A=0.287
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	C=0.85	A=0.15
HapMap	Global	Study-wide	1886	C=0.5239	A=0.4761
HapMap	American	Sub	768	C=0.495	A=0.505
HapMap	African	Sub	688	C=0.455	A=0.545
HapMap	Asian	Sub	254	C=0.854	A=0.146
HapMap	Europe	Sub	176	C=0.443	A=0.557
Korean Genome Project	KOREAN	Study-wide	1832	C=0.7713	A=0.2287
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	C=0.364	A=0.636
Chileans	Chilean	Study-wide	626	C=0.542	A=0.458
Northern Sweden	ACPOP	Study-wide	600	C=0.387	A=0.613
SGDP_PRJ	Global	Study-wide	382	C=0.343	A=0.657
Qatari	Global	Study-wide	216	C=0.361	A=0.639
A Vietnamese Genetic Variation Database	Global	Study-wide	214	C=0.762	A=0.238
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	56	C=0.43	A=0.57
Siberian	Global	Study-wide	48	C=0.35	A=0.65
The Danish reference pan genome	Danish	Study-wide	40	C=0.42	A=0.57

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 2	NC_000002.12:g.226403875C>A
GRCh37.p13 chr 2	NC_000002.11:g.227268591C>A

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

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
GRCh38.p14 chr 2	NC_000002.12:g.226403875=	NC_000002.12:g.226403875C>A
GRCh37.p13 chr 2	NC_000002.11:g.227268591=	NC_000002.11:g.227268591C>A

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#.

106 SubSNP, 24 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	SSAHASNP	ss21739768	Apr 05, 2004 (121)
2	PERLEGEN	ss23261663	Sep 20, 2004 (123)
3	ABI	ss44337308	Mar 14, 2006 (126)
4	AFFY	ss66274523	Jul 04, 2010 (132)
5	ILLUMINA	ss66637832	Dec 03, 2006 (127)
6	ILLUMINA	ss67053456	Dec 03, 2006 (127)
7	ILLUMINA	ss67380037	Dec 03, 2006 (127)
8	PERLEGEN	ss68845026	May 17, 2007 (127)
9	ILLUMINA	ss70418515	May 17, 2007 (127)
10	ILLUMINA	ss70592091	May 24, 2008 (130)
11	ILLUMINA	ss71135927	May 17, 2007 (127)
12	ILLUMINA	ss75544407	Dec 07, 2007 (129)
13	AFFY	ss75924927	Dec 08, 2007 (130)
14	HGSV	ss78551844	Dec 07, 2007 (129)
15	HGSV	ss84583273	Dec 14, 2007 (130)
16	KRIBB_YJKIM	ss85294822	Dec 14, 2007 (130)
17	HGSV	ss85696903	Dec 14, 2007 (130)
18	BCMHGSC_JDW	ss91571328	Mar 24, 2008 (129)
19	HUMANGENOME_JCVI	ss96477683	Feb 04, 2009 (130)
20	1000GENOMES	ss110874988	Jan 25, 2009 (130)
21	1000GENOMES	ss111750608	Jan 25, 2009 (130)
22	ILLUMINA-UK	ss118103493	Feb 14, 2009 (130)
23	ILLUMINA	ss121615939	Dec 01, 2009 (131)
24	ENSEMBL	ss135948017	Dec 01, 2009 (131)
25	ENSEMBL	ss138642355	Dec 01, 2009 (131)
26	ILLUMINA	ss153310947	Dec 01, 2009 (131)
27	ILLUMINA	ss159242724	Dec 01, 2009 (131)
28	COMPLETE_GENOMICS	ss165608702	Jul 04, 2010 (132)
29	COMPLETE_GENOMICS	ss165940216	Jul 04, 2010 (132)
30	COMPLETE_GENOMICS	ss167593185	Jul 04, 2010 (132)
31	AFFY	ss169199541	Jul 04, 2010 (132)
32	ILLUMINA	ss170277313	Jul 04, 2010 (132)
33	ILLUMINA	ss172308774	Jul 04, 2010 (132)
34	BUSHMAN	ss201826899	Jul 04, 2010 (132)
35	BCM-HGSC-SUB	ss205598062	Jul 04, 2010 (132)
36	1000GENOMES	ss219851657	Jul 14, 2010 (132)
37	1000GENOMES	ss231613342	Jul 14, 2010 (132)
38	1000GENOMES	ss239066287	Jul 15, 2010 (132)
39	BL	ss253910809	May 09, 2011 (134)
40	GMI	ss276923408	May 04, 2012 (137)
41	GMI	ss284553827	Apr 25, 2013 (138)
42	PJP	ss292501151	May 09, 2011 (134)
43	TISHKOFF	ss556268367	Apr 25, 2013 (138)
44	SSMP	ss649930285	Apr 25, 2013 (138)
45	ILLUMINA	ss825387789	Apr 01, 2015 (144)
46	ILLUMINA	ss832755032	Jul 13, 2019 (153)
47	EVA-GONL	ss978031060	Aug 21, 2014 (142)
48	JMKIDD_LAB	ss1069994338	Aug 21, 2014 (142)
49	1000GENOMES	ss1301918488	Aug 21, 2014 (142)
50	DDI	ss1428932674	Apr 01, 2015 (144)
51	EVA_GENOME_DK	ss1579350699	Apr 01, 2015 (144)
52	EVA_DECODE	ss1587489509	Apr 01, 2015 (144)
53	EVA_UK10K_ALSPAC	ss1605942258	Apr 01, 2015 (144)
54	EVA_UK10K_TWINSUK	ss1648936291	Apr 01, 2015 (144)
55	EVA_SVP	ss1712536011	Apr 01, 2015 (144)
56	HAMMER_LAB	ss1798473301	Sep 08, 2015 (146)
57	WEILL_CORNELL_DGM	ss1921276674	Feb 12, 2016 (147)
58	GENOMED	ss1969042650	Jul 19, 2016 (147)
59	JJLAB	ss2021186490	Sep 14, 2016 (149)
60	ILLUMINA	ss2095110237	Dec 20, 2016 (150)
61	USC_VALOUEV	ss2149250775	Dec 20, 2016 (150)
62	HUMAN_LONGEVITY	ss2239726965	Dec 20, 2016 (150)
63	SYSTEMSBIOZJU	ss2625093836	Nov 08, 2017 (151)
64	GRF	ss2703900753	Nov 08, 2017 (151)
65	GNOMAD	ss2787101956	Nov 08, 2017 (151)
66	SWEGEN	ss2991467564	Nov 08, 2017 (151)
67	BIOINF_KMB_FNS_UNIBA	ss3024352431	Nov 08, 2017 (151)
68	CSHL	ss3344771684	Nov 08, 2017 (151)
69	ILLUMINA	ss3638322503	Oct 11, 2018 (152)
70	ILLUMINA	ss3639164581	Oct 11, 2018 (152)
71	ILLUMINA	ss3639595847	Oct 11, 2018 (152)
72	ILLUMINA	ss3643286852	Oct 11, 2018 (152)
73	URBANLAB	ss3647291307	Oct 11, 2018 (152)
74	ILLUMINA	ss3652528018	Oct 11, 2018 (152)
75	EGCUT_WGS	ss3659366874	Jul 13, 2019 (153)
76	EVA_DECODE	ss3706158000	Jul 13, 2019 (153)
77	ACPOP	ss3729430932	Jul 13, 2019 (153)
78	EVA	ss3758168402	Jul 13, 2019 (153)
79	PACBIO	ss3784172915	Jul 13, 2019 (153)
80	PACBIO	ss3789708132	Jul 13, 2019 (153)
81	PACBIO	ss3794581388	Jul 13, 2019 (153)
82	KHV_HUMAN_GENOMES	ss3802531047	Jul 13, 2019 (153)
83	EVA	ss3827540849	Apr 25, 2020 (154)
84	EVA	ss3837190455	Apr 25, 2020 (154)
85	EVA	ss3842612730	Apr 25, 2020 (154)
86	HGDP	ss3847653235	Apr 25, 2020 (154)
87	SGDP_PRJ	ss3854736914	Apr 25, 2020 (154)
88	KRGDB	ss3900470119	Apr 25, 2020 (154)
89	KOGIC	ss3950220712	Apr 25, 2020 (154)
90	EVA	ss3984958161	Apr 26, 2021 (155)
91	EVA	ss4017052913	Apr 26, 2021 (155)
92	TOPMED	ss4547030980	Apr 26, 2021 (155)
93	TOMMO_GENOMICS	ss5156805105	Apr 26, 2021 (155)
94	1000G_HIGH_COVERAGE	ss5252269262	Oct 12, 2022 (156)
95	GENOGRAPHIC	ss5314486710	Oct 12, 2022 (156)
96	EVA	ss5336479418	Oct 12, 2022 (156)
97	HUGCELL_USP	ss5451860931	Oct 12, 2022 (156)
98	EVA	ss5506820975	Oct 12, 2022 (156)
99	1000G_HIGH_COVERAGE	ss5529738192	Oct 12, 2022 (156)
100	SANFORD_IMAGENETICS	ss5631088730	Oct 12, 2022 (156)
101	TOMMO_GENOMICS	ss5687778999	Oct 12, 2022 (156)
102	YY_MCH	ss5803279162	Oct 12, 2022 (156)
103	EVA	ss5821684952	Oct 12, 2022 (156)
104	EVA	ss5852979452	Oct 12, 2022 (156)
105	EVA	ss5934984036	Oct 12, 2022 (156)
106	EVA	ss5957351127	Oct 12, 2022 (156)
107	1000Genomes	NC_000002.11 - 227268591	Oct 11, 2018 (152)
108	1000Genomes_30x	NC_000002.12 - 226403875	Oct 12, 2022 (156)
109	The Avon Longitudinal Study of Parents and Children	NC_000002.11 - 227268591	Oct 11, 2018 (152)
110	Chileans	NC_000002.11 - 227268591	Apr 25, 2020 (154)
111	Genetic variation in the Estonian population	NC_000002.11 - 227268591	Oct 11, 2018 (152)
112	Genographic Project	NC_000002.12 - 226403875	Oct 12, 2022 (156)
113	The Danish reference pan genome	NC_000002.11 - 227268591	Apr 25, 2020 (154)
114	gnomAD - Genomes	NC_000002.12 - 226403875	Apr 26, 2021 (155)
115	Genome of the Netherlands Release 5	NC_000002.11 - 227268591	Apr 25, 2020 (154)
116	HGDP-CEPH-db Supplement 1	NC_000002.10 - 226976835	Apr 25, 2020 (154)
117	HapMap	NC_000002.12 - 226403875	Apr 25, 2020 (154)
118	KOREAN population from KRGDB	NC_000002.11 - 227268591	Apr 25, 2020 (154)
119	Korean Genome Project	NC_000002.12 - 226403875	Apr 25, 2020 (154)
120	Northern Sweden	NC_000002.11 - 227268591	Jul 13, 2019 (153)
121	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000002.11 - 227268591	Apr 26, 2021 (155)
122	Qatari	NC_000002.11 - 227268591	Apr 25, 2020 (154)
123	SGDP_PRJ	NC_000002.11 - 227268591	Apr 25, 2020 (154)
124	Siberian	NC_000002.11 - 227268591	Apr 25, 2020 (154)
125	8.3KJPN	NC_000002.11 - 227268591	Apr 26, 2021 (155)
126	14KJPN	NC_000002.12 - 226403875	Oct 12, 2022 (156)
127	TopMed	NC_000002.12 - 226403875	Apr 26, 2021 (155)
128	UK 10K study - Twins	NC_000002.11 - 227268591	Oct 11, 2018 (152)
129	A Vietnamese Genetic Variation Database	NC_000002.11 - 227268591	Jul 13, 2019 (153)
130	ALFA	NC_000002.12 - 226403875	Apr 26, 2021 (155)

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)
rs56514218	May 24, 2008 (130)
rs57643446	May 24, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss78551844, ss84583273, ss85696903, ss3639164581, ss3639595847	NC_000002.9:227094095:C:A	NC_000002.12:226403874:C:A	(self)
331127, ss75924927, ss91571328, ss110874988, ss111750608, ss118103493, ss165608702, ss165940216, ss167593185, ss169199541, ss201826899, ss205598062, ss253910809, ss276923408, ss284553827, ss292501151, ss825387789, ss1587489509, ss1712536011, ss3643286852, ss3847653235	NC_000002.10:226976834:C:A	NC_000002.12:226403874:C:A	(self)
13033653, 7215268, 244648, 5105122, 5515638, 3161594, 7647513, 2715797, 184088, 3318604, 6753894, 1767129, 14774412, 7215268, 1567475, ss219851657, ss231613342, ss239066287, ss556268367, ss649930285, ss832755032, ss978031060, ss1069994338, ss1301918488, ss1428932674, ss1579350699, ss1605942258, ss1648936291, ss1798473301, ss1921276674, ss1969042650, ss2021186490, ss2095110237, ss2149250775, ss2625093836, ss2703900753, ss2787101956, ss2991467564, ss3344771684, ss3638322503, ss3652528018, ss3659366874, ss3729430932, ss3758168402, ss3784172915, ss3789708132, ss3794581388, ss3827540849, ss3837190455, ss3854736914, ss3900470119, ss3984958161, ss4017052913, ss5156805105, ss5336479418, ss5506820975, ss5631088730, ss5821684952, ss5957351127	NC_000002.11:227268590:C:A	NC_000002.12:226403874:C:A	(self)
17264127, 5303, 92910968, 2025261, 6598713, 21616103, 350853859, 9419394384, ss2239726965, ss3024352431, ss3647291307, ss3706158000, ss3802531047, ss3842612730, ss3950220712, ss4547030980, ss5252269262, ss5314486710, ss5451860931, ss5529738192, ss5687778999, ss5803279162, ss5852979452, ss5934984036	NC_000002.12:226403874:C:A	NC_000002.12:226403874:C:A	(self)
ss21739768	NT_005403.14:77478002:C:A	NC_000002.12:226403874:C:A	(self)
ss23261663, ss44337308, ss66637832, ss67053456, ss67380037, ss68845026, ss70418515, ss70592091, ss71135927, ss75544407, ss85294822, ss96477683, ss121615939, ss135948017, ss138642355, ss153310947, ss159242724, ss170277313, ss172308774	NT_005403.17:77478008:C:A	NC_000002.12:226403874:C:A	(self)
ss66274523	NT_005403.18:131907859:C:A	NC_000002.12:226403874:C:A	(self)

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

1 citation for rs13032261

PMID	Title	Author	Year	Journal
19134182	MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.	Wan X et al.	2009	BMC bioinformatics

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.

Choose placement

dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs13032261