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dbSNP Short Genetic Variations

Examples: rs268, BRCA1 and more Advanced search

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.

rs10919791

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr1:199996040 (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
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.222517 (58898/264690, TOPMED)
A=0.226206 (48657/215100, ALFA)
A=0.219442 (30646/139654, GnomAD) (+ 19 more)
G=0.28971 (8186/28256, 14KJPN)
G=0.28854 (4836/16760, 8.3KJPN)
A=0.3307 (2118/6404, 1000G_30x)
A=0.3464 (1735/5008, 1000G)
A=0.2933 (1314/4480, Estonian)
A=0.2206 (850/3854, ALSPAC)
A=0.2238 (830/3708, TWINSUK)
G=0.2720 (797/2930, KOREAN)
A=0.3546 (739/2084, HGDP_Stanford)
G=0.2800 (513/1832, Korea1K)
A=0.2952 (526/1782, HapMap)
A=0.207 (207/998, GoNL)
A=0.275 (165/600, NorthernSweden)
G=0.294 (84/286, SGDP_PRJ)
A=0.259 (56/216, Qatari)
G=0.393 (84/214, Vietnamese)
A=0.03 (2/66, Ancient Sardinia)
G=0.36 (18/50, Siberian)
A=0.30 (12/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
None
Publications
5 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 215100 G=0.773794 A=0.226206
European Sub 187660 G=0.783294 A=0.216706
African Sub 7092 G=0.8804 A=0.1196
African Others Sub 264 G=0.894 A=0.106
African American Sub 6828 G=0.8799 A=0.1201
Asian Sub 732 G=0.327 A=0.673
East Asian Sub 586 G=0.307 A=0.693
Other Asian Sub 146 G=0.404 A=0.596
Latin American 1 Sub 844 G=0.775 A=0.225
Latin American 2 Sub 6900 G=0.6210 A=0.3790
South Asian Sub 5036 G=0.5782 A=0.4218
Other Sub 6836 G=0.7484 A=0.2516


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=0.777483 A=0.222517
Allele Frequency Aggregator Total Global 215100 G=0.773794 A=0.226206
Allele Frequency Aggregator European Sub 187660 G=0.783294 A=0.216706
Allele Frequency Aggregator African Sub 7092 G=0.8804 A=0.1196
Allele Frequency Aggregator Latin American 2 Sub 6900 G=0.6210 A=0.3790
Allele Frequency Aggregator Other Sub 6836 G=0.7484 A=0.2516
Allele Frequency Aggregator South Asian Sub 5036 G=0.5782 A=0.4218
Allele Frequency Aggregator Latin American 1 Sub 844 G=0.775 A=0.225
Allele Frequency Aggregator Asian Sub 732 G=0.327 A=0.673
gnomAD - Genomes Global Study-wide 139654 G=0.780558 A=0.219442
gnomAD - Genomes European Sub 75692 G=0.75515 A=0.24485
gnomAD - Genomes African Sub 41838 G=0.88532 A=0.11468
gnomAD - Genomes American Sub 13550 G=0.70022 A=0.29978
gnomAD - Genomes Ashkenazi Jewish Sub 3322 G=0.7959 A=0.2041
gnomAD - Genomes East Asian Sub 3108 G=0.3246 A=0.6754
gnomAD - Genomes Other Sub 2144 G=0.7780 A=0.2220
14KJPN JAPANESE Study-wide 28256 G=0.28971 A=0.71029
8.3KJPN JAPANESE Study-wide 16760 G=0.28854 A=0.71146
1000Genomes_30x Global Study-wide 6404 G=0.6693 A=0.3307
1000Genomes_30x African Sub 1786 G=0.9143 A=0.0857
1000Genomes_30x Europe Sub 1266 G=0.7844 A=0.2156
1000Genomes_30x South Asian Sub 1202 G=0.5416 A=0.4584
1000Genomes_30x East Asian Sub 1170 G=0.3197 A=0.6803
1000Genomes_30x American Sub 980 G=0.648 A=0.352
1000Genomes Global Study-wide 5008 G=0.6536 A=0.3464
1000Genomes African Sub 1322 G=0.9100 A=0.0900
1000Genomes East Asian Sub 1008 G=0.3294 A=0.6706
1000Genomes Europe Sub 1006 G=0.7753 A=0.2247
1000Genomes South Asian Sub 978 G=0.524 A=0.476
1000Genomes American Sub 694 G=0.643 A=0.357
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.7067 A=0.2933
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.7794 A=0.2206
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.7762 A=0.2238
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.2720 A=0.7280
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 G=0.6454 A=0.3546
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 G=0.315 A=0.685
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 G=0.575 A=0.425
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 G=0.837 A=0.163
HGDP-CEPH-db Supplement 1 Europe Sub 320 G=0.803 A=0.197
HGDP-CEPH-db Supplement 1 Africa Sub 242 G=0.946 A=0.054
HGDP-CEPH-db Supplement 1 America Sub 216 G=0.574 A=0.426
HGDP-CEPH-db Supplement 1 Oceania Sub 72 G=0.78 A=0.22
Korean Genome Project KOREAN Study-wide 1832 G=0.2800 A=0.7200
HapMap Global Study-wide 1782 G=0.7048 A=0.2952
HapMap African Sub 686 G=0.915 A=0.085
HapMap American Sub 668 G=0.612 A=0.388
HapMap Asian Sub 252 G=0.310 A=0.690
HapMap Europe Sub 176 G=0.801 A=0.199
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.793 A=0.207
Northern Sweden ACPOP Study-wide 600 G=0.725 A=0.275
SGDP_PRJ Global Study-wide 286 G=0.294 A=0.706
Qatari Global Study-wide 216 G=0.741 A=0.259
A Vietnamese Genetic Variation Database Global Study-wide 214 G=0.393 A=0.607
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 66 G=0.97 A=0.03
Siberian Global Study-wide 50 G=0.36 A=0.64
The Danish reference pan genome Danish Study-wide 40 G=0.70 A=0.30
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 1 NC_000001.11:g.199996040G>A
GRCh37.p13 chr 1 NC_000001.10:g.199965168G>A
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
GRCh38.p14 chr 1 NC_000001.11:g.199996040= NC_000001.11:g.199996040G>A
GRCh37.p13 chr 1 NC_000001.10:g.199965168= NC_000001.10:g.199965168G>A
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#.

108 SubSNP, 22 Frequency submissions
No Submitter Submission ID Date (Build)
1 SC_SNP ss18101857 Feb 27, 2004 (120)
2 CSHL-HAPMAP ss19855903 Feb 27, 2004 (120)
3 ILLUMINA ss66910085 Dec 02, 2006 (127)
4 ILLUMINA ss67040720 Dec 02, 2006 (127)
5 ILLUMINA ss68094418 Dec 12, 2006 (127)
6 ILLUMINA ss70507669 May 24, 2008 (130)
7 ILLUMINA ss71034531 May 18, 2007 (127)
8 ILLUMINA ss75575767 Dec 07, 2007 (129)
9 KRIBB_YJKIM ss85031486 Dec 14, 2007 (130)
10 BGI ss106623686 Feb 04, 2009 (130)
11 1000GENOMES ss108855787 Jan 23, 2009 (130)
12 ILLUMINA ss152874950 Dec 01, 2009 (131)
13 GMI ss156145792 Dec 01, 2009 (131)
14 ILLUMINA ss159152908 Dec 01, 2009 (131)
15 ILLUMINA ss159938529 Dec 01, 2009 (131)
16 COMPLETE_GENOMICS ss165667232 Jul 04, 2010 (132)
17 COMPLETE_GENOMICS ss167421584 Jul 04, 2010 (132)
18 ILLUMINA ss170752842 Jul 04, 2010 (132)
19 BCM-HGSC-SUB ss205412092 Jul 04, 2010 (132)
20 1000GENOMES ss230855754 Jul 14, 2010 (132)
21 1000GENOMES ss238476596 Jul 15, 2010 (132)
22 GMI ss276171698 May 04, 2012 (137)
23 GMI ss284207769 Apr 25, 2013 (138)
24 ILLUMINA ss479404048 May 04, 2012 (137)
25 ILLUMINA ss479407339 May 04, 2012 (137)
26 ILLUMINA ss479820189 Sep 08, 2015 (146)
27 ILLUMINA ss484501972 May 04, 2012 (137)
28 ILLUMINA ss536653226 Sep 08, 2015 (146)
29 TISHKOFF ss555034958 Apr 25, 2013 (138)
30 SSMP ss648620643 Apr 25, 2013 (138)
31 ILLUMINA ss779028122 Sep 08, 2015 (146)
32 ILLUMINA ss782697542 Sep 08, 2015 (146)
33 ILLUMINA ss783665641 Sep 08, 2015 (146)
34 ILLUMINA ss831948617 Sep 08, 2015 (146)
35 ILLUMINA ss832665522 Jul 12, 2019 (153)
36 ILLUMINA ss834490800 Sep 08, 2015 (146)
37 EVA-GONL ss976019703 Aug 21, 2014 (142)
38 JMKIDD_LAB ss1068511939 Aug 21, 2014 (142)
39 1000GENOMES ss1294185846 Aug 21, 2014 (142)
40 DDI ss1426076181 Apr 01, 2015 (144)
41 EVA_GENOME_DK ss1574600304 Apr 01, 2015 (144)
42 EVA_DECODE ss1585414510 Apr 01, 2015 (144)
43 EVA_UK10K_ALSPAC ss1601888587 Apr 01, 2015 (144)
44 EVA_UK10K_TWINSUK ss1644882620 Apr 01, 2015 (144)
45 EVA_SVP ss1712395046 Apr 01, 2015 (144)
46 ILLUMINA ss1751890624 Sep 08, 2015 (146)
47 WEILL_CORNELL_DGM ss1919248866 Feb 12, 2016 (147)
48 GENOMED ss1966944096 Jul 19, 2016 (147)
49 JJLAB ss2020143630 Sep 14, 2016 (149)
50 USC_VALOUEV ss2148170335 Dec 20, 2016 (150)
51 HUMAN_LONGEVITY ss2169149177 Dec 20, 2016 (150)
52 SYSTEMSBIOZJU ss2624579113 Nov 08, 2017 (151)
53 ILLUMINA ss2632613670 Nov 08, 2017 (151)
54 GRF ss2698159964 Nov 08, 2017 (151)
55 ILLUMINA ss2710689925 Nov 08, 2017 (151)
56 GNOMAD ss2764908418 Nov 08, 2017 (151)
57 SWEGEN ss2988257611 Nov 08, 2017 (151)
58 BIOINF_KMB_FNS_UNIBA ss3023831372 Nov 08, 2017 (151)
59 CSHL ss3343857068 Nov 08, 2017 (151)
60 ILLUMINA ss3626279258 Oct 11, 2018 (152)
61 ILLUMINA ss3630644291 Oct 11, 2018 (152)
62 ILLUMINA ss3632920834 Oct 11, 2018 (152)
63 ILLUMINA ss3633616614 Oct 11, 2018 (152)
64 ILLUMINA ss3634365914 Oct 11, 2018 (152)
65 ILLUMINA ss3635309821 Oct 11, 2018 (152)
66 ILLUMINA ss3636045134 Oct 11, 2018 (152)
67 ILLUMINA ss3637060346 Oct 11, 2018 (152)
68 ILLUMINA ss3637806222 Oct 11, 2018 (152)
69 ILLUMINA ss3638918749 Oct 11, 2018 (152)
70 ILLUMINA ss3639771236 Oct 11, 2018 (152)
71 ILLUMINA ss3640073268 Oct 11, 2018 (152)
72 ILLUMINA ss3642813499 Oct 11, 2018 (152)
73 ILLUMINA ss3643824465 Oct 11, 2018 (152)
74 EGCUT_WGS ss3656218411 Jul 12, 2019 (153)
75 EVA_DECODE ss3688397090 Jul 12, 2019 (153)
76 ACPOP ss3727758860 Jul 12, 2019 (153)
77 ILLUMINA ss3744666767 Jul 12, 2019 (153)
78 EVA ss3747190583 Jul 12, 2019 (153)
79 ILLUMINA ss3772167768 Jul 12, 2019 (153)
80 KHV_HUMAN_GENOMES ss3800198567 Jul 12, 2019 (153)
81 EVA ss3826584315 Apr 25, 2020 (154)
82 EVA ss3836691390 Apr 25, 2020 (154)
83 EVA ss3842102388 Apr 25, 2020 (154)
84 HGDP ss3847359232 Apr 25, 2020 (154)
85 SGDP_PRJ ss3850657938 Apr 25, 2020 (154)
86 KRGDB ss3895941258 Apr 25, 2020 (154)
87 KOGIC ss3946251592 Apr 25, 2020 (154)
88 EVA ss3984843944 Apr 25, 2021 (155)
89 EVA ss4016955094 Apr 25, 2021 (155)
90 TOPMED ss4479523122 Apr 25, 2021 (155)
91 TOMMO_GENOMICS ss5147902544 Apr 25, 2021 (155)
92 1000G_HIGH_COVERAGE ss5245389493 Oct 12, 2022 (156)
93 EVA ss5314672702 Oct 12, 2022 (156)
94 EVA ss5324045913 Oct 12, 2022 (156)
95 HUGCELL_USP ss5445867620 Oct 12, 2022 (156)
96 EVA ss5506150477 Oct 12, 2022 (156)
97 1000G_HIGH_COVERAGE ss5519287406 Oct 12, 2022 (156)
98 SANFORD_IMAGENETICS ss5624226118 Oct 12, 2022 (156)
99 SANFORD_IMAGENETICS ss5627219063 Oct 12, 2022 (156)
100 TOMMO_GENOMICS ss5675506306 Oct 12, 2022 (156)
101 EVA ss5799507749 Oct 12, 2022 (156)
102 YY_MCH ss5801535570 Oct 12, 2022 (156)
103 EVA ss5833098438 Oct 12, 2022 (156)
104 EVA ss5847171964 Oct 12, 2022 (156)
105 EVA ss5849234789 Oct 12, 2022 (156)
106 EVA ss5911505666 Oct 12, 2022 (156)
107 EVA ss5939045944 Oct 12, 2022 (156)
108 EVA ss5979300181 Oct 12, 2022 (156)
109 1000Genomes NC_000001.10 - 199965168 Oct 11, 2018 (152)
110 1000Genomes_30x NC_000001.11 - 199996040 Oct 12, 2022 (156)
111 The Avon Longitudinal Study of Parents and Children NC_000001.10 - 199965168 Oct 11, 2018 (152)
112 Genetic variation in the Estonian population NC_000001.10 - 199965168 Oct 11, 2018 (152)
113 The Danish reference pan genome NC_000001.10 - 199965168 Apr 25, 2020 (154)
114 gnomAD - Genomes NC_000001.11 - 199996040 Apr 25, 2021 (155)
115 Genome of the Netherlands Release 5 NC_000001.10 - 199965168 Apr 25, 2020 (154)
116 HGDP-CEPH-db Supplement 1 NC_000001.9 - 198231791 Apr 25, 2020 (154)
117 HapMap NC_000001.11 - 199996040 Apr 25, 2020 (154)
118 KOREAN population from KRGDB NC_000001.10 - 199965168 Apr 25, 2020 (154)
119 Korean Genome Project NC_000001.11 - 199996040 Apr 25, 2020 (154)
120 Northern Sweden NC_000001.10 - 199965168 Jul 12, 2019 (153)
121 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000001.10 - 199965168 Apr 25, 2021 (155)
122 Qatari NC_000001.10 - 199965168 Apr 25, 2020 (154)
123 SGDP_PRJ NC_000001.10 - 199965168 Apr 25, 2020 (154)
124 Siberian NC_000001.10 - 199965168 Apr 25, 2020 (154)
125 8.3KJPN NC_000001.10 - 199965168 Apr 25, 2021 (155)
126 14KJPN NC_000001.11 - 199996040 Oct 12, 2022 (156)
127 TopMed NC_000001.11 - 199996040 Apr 25, 2021 (155)
128 UK 10K study - Twins NC_000001.10 - 199965168 Oct 11, 2018 (152)
129 A Vietnamese Genetic Variation Database NC_000001.10 - 199965168 Jul 12, 2019 (153)
130 ALFA NC_000001.11 - 199996040 Apr 25, 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)
rs57920959 May 24, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss3638918749, ss3639771236, ss3643824465 NC_000001.8:196696824:G:A NC_000001.11:199996039:G:A (self)
37124, ss108855787, ss165667232, ss167421584, ss205412092, ss276171698, ss284207769, ss479404048, ss1585414510, ss1712395046, ss3642813499, ss3847359232 NC_000001.9:198231790:G:A NC_000001.11:199996039:G:A (self)
5023913, 2762106, 1956659, 1837107, 1206361, 3118652, 1043725, 69871, 1290796, 2674918, 686689, 5871851, 2762106, 597224, ss230855754, ss238476596, ss479407339, ss479820189, ss484501972, ss536653226, ss555034958, ss648620643, ss779028122, ss782697542, ss783665641, ss831948617, ss832665522, ss834490800, ss976019703, ss1068511939, ss1294185846, ss1426076181, ss1574600304, ss1601888587, ss1644882620, ss1751890624, ss1919248866, ss1966944096, ss2020143630, ss2148170335, ss2624579113, ss2632613670, ss2698159964, ss2710689925, ss2764908418, ss2988257611, ss3343857068, ss3626279258, ss3630644291, ss3632920834, ss3633616614, ss3634365914, ss3635309821, ss3636045134, ss3637060346, ss3637806222, ss3640073268, ss3656218411, ss3727758860, ss3744666767, ss3747190583, ss3772167768, ss3826584315, ss3836691390, ss3850657938, ss3895941258, ss3984843944, ss4016955094, ss5147902544, ss5314672702, ss5324045913, ss5506150477, ss5624226118, ss5627219063, ss5799507749, ss5833098438, ss5847171964, ss5939045944, ss5979300181 NC_000001.10:199965167:G:A NC_000001.11:199996039:G:A (self)
6813341, 36234798, 242315, 2629593, 9343410, 43129457, 6236785233, ss2169149177, ss3023831372, ss3688397090, ss3800198567, ss3842102388, ss3946251592, ss4479523122, ss5245389493, ss5445867620, ss5519287406, ss5675506306, ss5801535570, ss5849234789, ss5911505666 NC_000001.11:199996039:G:A NC_000001.11:199996039:G:A (self)
ss66910085, ss67040720, ss68094418, ss70507669, ss71034531, ss75575767, ss85031486, ss106623686, ss152874950, ss156145792, ss159152908, ss159938529, ss170752842 NT_004487.19:51453809:G:A NC_000001.11:199996039:G:A (self)
ss18101857, ss19855903 NT_004671.15:11320151:G:A NC_000001.11:199996039:G:A (self)
Help

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

5 citations for rs10919791
PMID Title Author Year Journal
20101243 A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Petersen GM et al. 2010 Nature genetics
22125638 Pancreatic cancer susceptibility loci and their role in survival. Rizzato C et al. 2011 PloS one
25658847 Do variants associated with susceptibility to pancreatic cancer and type 2 diabetes reciprocally affect risk? Wu L et al. 2015 PloS one
26929738 Pancreatic Cancer Genetics. Amundadottir LT et al. 2016 International journal of biological sciences
29309705 Common genetic variants associated with pancreatic adenocarcinoma may also modify risk of pancreatic neuroendocrine neoplasms. Obazee O et al. 2018 Carcinogenesis
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