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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.

rs2069391

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr12:55966094 (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>T
Variation Type
SNV Single Nucleotide Variation
Frequency
T=0.073962 (19577/264690, TOPMED)
T=0.074752 (12833/171674, ALFA)
T=0.076311 (10701/140228, GnomAD) (+ 20 more)
T=0.00488 (138/28258, 14KJPN)
T=0.00447 (75/16760, 8.3KJPN)
T=0.0540 (346/6404, 1000G_30x)
T=0.0517 (259/5008, 1000G)
T=0.0585 (262/4480, Estonian)
T=0.0778 (300/3854, ALSPAC)
T=0.0817 (303/3708, TWINSUK)
T=0.0075 (22/2922, KOREAN)
T=0.0066 (12/1832, Korea1K)
T=0.0527 (91/1726, HapMap)
T=0.076 (76/998, GoNL)
T=0.006 (5/792, PRJEB37584)
T=0.060 (36/600, NorthernSweden)
T=0.084 (45/534, MGP)
T=0.060 (13/216, Qatari)
C=0.50 (25/50, SGDP_PRJ)
T=0.50 (25/50, SGDP_PRJ)
T=0.12 (5/40, GENOME_DK)
C=0.5 (2/4, Siberian)
T=0.5 (2/4, Siberian)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
PMEL : Intron Variant
CDK2 : 2KB Upstream Variant
Publications
3 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 171768 C=0.925242 T=0.074758
European Sub 147706 C=0.924201 T=0.075799
African Sub 9316 C=0.9151 T=0.0849
African Others Sub 326 C=0.923 T=0.077
African American Sub 8990 C=0.9148 T=0.0852
Asian Sub 674 C=0.999 T=0.001
East Asian Sub 542 C=0.998 T=0.002
Other Asian Sub 132 C=1.000 T=0.000
Latin American 1 Sub 752 C=0.931 T=0.069
Latin American 2 Sub 6330 C=0.9471 T=0.0529
South Asian Sub 184 C=0.902 T=0.098
Other Sub 6806 C=0.9342 T=0.0658


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=0.926038 T=0.073962
Allele Frequency Aggregator Total Global 171674 C=0.925248 T=0.074752
Allele Frequency Aggregator European Sub 147630 C=0.924209 T=0.075791
Allele Frequency Aggregator African Sub 9316 C=0.9151 T=0.0849
Allele Frequency Aggregator Other Sub 6788 C=0.9341 T=0.0659
Allele Frequency Aggregator Latin American 2 Sub 6330 C=0.9471 T=0.0529
Allele Frequency Aggregator Latin American 1 Sub 752 C=0.931 T=0.069
Allele Frequency Aggregator Asian Sub 674 C=0.999 T=0.001
Allele Frequency Aggregator South Asian Sub 184 C=0.902 T=0.098
gnomAD - Genomes Global Study-wide 140228 C=0.923689 T=0.076311
gnomAD - Genomes European Sub 75938 C=0.92335 T=0.07665
gnomAD - Genomes African Sub 42026 C=0.91132 T=0.08868
gnomAD - Genomes American Sub 13656 C=0.94596 T=0.05404
gnomAD - Genomes Ashkenazi Jewish Sub 3324 C=0.9242 T=0.0758
gnomAD - Genomes East Asian Sub 3130 C=0.9949 T=0.0051
gnomAD - Genomes Other Sub 2154 C=0.9318 T=0.0682
14KJPN JAPANESE Study-wide 28258 C=0.99512 T=0.00488
8.3KJPN JAPANESE Study-wide 16760 C=0.99553 T=0.00447
1000Genomes_30x Global Study-wide 6404 C=0.9460 T=0.0540
1000Genomes_30x African Sub 1786 C=0.9149 T=0.0851
1000Genomes_30x Europe Sub 1266 C=0.9305 T=0.0695
1000Genomes_30x South Asian Sub 1202 C=0.9484 T=0.0516
1000Genomes_30x East Asian Sub 1170 C=0.9991 T=0.0009
1000Genomes_30x American Sub 980 C=0.956 T=0.044
1000Genomes Global Study-wide 5008 C=0.9483 T=0.0517
1000Genomes African Sub 1322 C=0.9183 T=0.0817
1000Genomes East Asian Sub 1008 C=0.9990 T=0.0010
1000Genomes Europe Sub 1006 C=0.9354 T=0.0646
1000Genomes South Asian Sub 978 C=0.949 T=0.051
1000Genomes American Sub 694 C=0.950 T=0.050
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.9415 T=0.0585
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.9222 T=0.0778
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.9183 T=0.0817
KOREAN population from KRGDB KOREAN Study-wide 2922 C=0.9925 T=0.0075
Korean Genome Project KOREAN Study-wide 1832 C=0.9934 T=0.0066
HapMap Global Study-wide 1726 C=0.9473 T=0.0527
HapMap American Sub 770 C=0.945 T=0.055
HapMap African Sub 692 C=0.942 T=0.058
HapMap Europe Sub 176 C=0.949 T=0.051
HapMap Asian Sub 88 C=1.00 T=0.00
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.924 T=0.076
CNV burdens in cranial meningiomas Global Study-wide 792 C=0.994 T=0.006
CNV burdens in cranial meningiomas CRM Sub 792 C=0.994 T=0.006
Northern Sweden ACPOP Study-wide 600 C=0.940 T=0.060
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 C=0.916 T=0.084
Qatari Global Study-wide 216 C=0.940 T=0.060
SGDP_PRJ Global Study-wide 50 C=0.50 T=0.50
The Danish reference pan genome Danish Study-wide 40 C=0.88 T=0.12
Siberian Global Study-wide 4 C=0.5 T=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 12 NC_000012.12:g.55966094C>T
GRCh37.p13 chr 12 NC_000012.11:g.56359878C>T
PMEL RefSeqGene NG_028086.1:g.5619G>A
CDK2 RefSeqGene NG_034014.1:g.4326C>T
Gene: PMEL, premelanosome protein (minus strand)
Molecule type Change Amino acid[Codon] SO Term
PMEL transcript variant 3 NM_006928.5:c.-51-32G>A N/A Intron Variant
PMEL transcript variant 2 NM_001200053.1:c. N/A Genic Upstream Transcript Variant
PMEL transcript variant 1 NM_001200054.1:c. N/A Genic Upstream Transcript Variant
PMEL transcript variant 4 NM_001320121.1:c. N/A Genic Upstream Transcript Variant
PMEL transcript variant 5 NM_001320122.1:c. N/A Genic Upstream Transcript Variant
PMEL transcript variant 6 NM_001384361.1:c. N/A Genic Upstream Transcript Variant
Gene: CDK2, cyclin dependent kinase 2 (plus strand) : 2KB Upstream Variant
Molecule type Change Amino acid[Codon] SO Term
CDK2 transcript variant 3 NM_001290230.2:c. N/A Upstream Transcript Variant
CDK2 transcript variant 1 NM_001798.5:c. N/A Upstream Transcript Variant
CDK2 transcript variant 2 NM_052827.4:c. N/A Upstream Transcript Variant
CDK2 transcript variant X1 XM_011537732.2:c. N/A Upstream Transcript 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 C= T
GRCh38.p14 chr 12 NC_000012.12:g.55966094= NC_000012.12:g.55966094C>T
GRCh37.p13 chr 12 NC_000012.11:g.56359878= NC_000012.11:g.56359878C>T
PMEL RefSeqGene NG_028086.1:g.5619= NG_028086.1:g.5619G>A
CDK2 RefSeqGene NG_034014.1:g.4326= NG_034014.1:g.4326C>T
PMEL transcript variant 3 NM_006928.4:c.-51-32= NM_006928.4:c.-51-32G>A
PMEL transcript variant 3 NM_006928.5:c.-51-32= NM_006928.5:c.-51-32G>A
PMEL transcript variant X1 XM_005269097.1:c.16-32= XM_005269097.1:c.16-32G>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#.

97 SubSNP, 21 Frequency submissions
No Submitter Submission ID Date (Build)
1 UUGC ss2981448 Jun 15, 2001 (96)
2 WI_SSAHASNP ss6564258 Feb 20, 2003 (111)
3 PERLEGEN ss69109870 May 17, 2007 (127)
4 ILLUMINA ss75110484 Dec 07, 2007 (129)
5 ILLUMINA-UK ss118827651 Feb 14, 2009 (130)
6 WTCCC ss120255152 Dec 01, 2009 (131)
7 ILLUMINA ss160497354 Dec 01, 2009 (131)
8 ILLUMINA ss173093832 Jul 04, 2010 (132)
9 BUSHMAN ss198224059 Jul 04, 2010 (132)
10 1000GENOMES ss225768359 Jul 14, 2010 (132)
11 1000GENOMES ss235945860 Jul 15, 2010 (132)
12 ILLUMINA ss480408767 May 04, 2012 (137)
13 ILLUMINA ss480422037 May 04, 2012 (137)
14 ILLUMINA ss481204077 Sep 08, 2015 (146)
15 ILLUMINA ss485001930 May 04, 2012 (137)
16 ILLUMINA ss537033505 Sep 08, 2015 (146)
17 TISHKOFF ss563183890 Apr 25, 2013 (138)
18 SSMP ss658742748 Apr 25, 2013 (138)
19 ILLUMINA ss778698688 Sep 08, 2015 (146)
20 ILLUMINA ss782947265 Sep 08, 2015 (146)
21 ILLUMINA ss783909715 Sep 08, 2015 (146)
22 ILLUMINA ss832203112 Sep 08, 2015 (146)
23 ILLUMINA ss834157578 Sep 08, 2015 (146)
24 EVA-GONL ss989563953 Aug 21, 2014 (142)
25 JMKIDD_LAB ss1078482690 Aug 21, 2014 (142)
26 1000GENOMES ss1345138717 Aug 21, 2014 (142)
27 EVA_GENOME_DK ss1576301200 Apr 01, 2015 (144)
28 EVA_DECODE ss1599237092 Apr 01, 2015 (144)
29 EVA_UK10K_ALSPAC ss1628652219 Apr 01, 2015 (144)
30 EVA_UK10K_TWINSUK ss1671646252 Apr 01, 2015 (144)
31 EVA_MGP ss1711332751 Apr 01, 2015 (144)
32 EVA_SVP ss1713330021 Apr 01, 2015 (144)
33 ILLUMINA ss1752073701 Sep 08, 2015 (146)
34 WEILL_CORNELL_DGM ss1932929750 Feb 12, 2016 (147)
35 JJLAB ss2027215009 Sep 14, 2016 (149)
36 ILLUMINA ss2094873832 Dec 20, 2016 (150)
37 ILLUMINA ss2095035115 Dec 20, 2016 (150)
38 USC_VALOUEV ss2155555420 Dec 20, 2016 (150)
39 HUMAN_LONGEVITY ss2190035799 Dec 20, 2016 (150)
40 ILLUMINA ss2632963205 Nov 08, 2017 (151)
41 ILLUMINA ss2635037227 Nov 08, 2017 (151)
42 GRF ss2699900226 Nov 08, 2017 (151)
43 ILLUMINA ss2710762972 Nov 08, 2017 (151)
44 GNOMAD ss2910858022 Nov 08, 2017 (151)
45 AFFY ss2984977043 Nov 08, 2017 (151)
46 AFFY ss2985617857 Nov 08, 2017 (151)
47 SWEGEN ss3009740484 Nov 08, 2017 (151)
48 CSHL ss3350078576 Nov 08, 2017 (151)
49 ILLUMINA ss3626885482 Oct 12, 2018 (152)
50 ILLUMINA ss3630972174 Oct 12, 2018 (152)
51 ILLUMINA ss3633021489 Oct 12, 2018 (152)
52 ILLUMINA ss3633722517 Oct 12, 2018 (152)
53 ILLUMINA ss3634506797 Oct 12, 2018 (152)
54 ILLUMINA ss3635413256 Oct 12, 2018 (152)
55 ILLUMINA ss3636191648 Oct 12, 2018 (152)
56 ILLUMINA ss3637164245 Oct 12, 2018 (152)
57 ILLUMINA ss3637965219 Oct 12, 2018 (152)
58 ILLUMINA ss3640214131 Oct 12, 2018 (152)
59 ILLUMINA ss3642958657 Oct 12, 2018 (152)
60 ILLUMINA ss3651811992 Oct 12, 2018 (152)
61 ILLUMINA ss3653750379 Oct 12, 2018 (152)
62 EGCUT_WGS ss3677009677 Jul 13, 2019 (153)
63 EVA_DECODE ss3693730962 Jul 13, 2019 (153)
64 ACPOP ss3739048955 Jul 13, 2019 (153)
65 ILLUMINA ss3744807471 Jul 13, 2019 (153)
66 EVA ss3750516519 Jul 13, 2019 (153)
67 ILLUMINA ss3772306918 Jul 13, 2019 (153)
68 KHV_HUMAN_GENOMES ss3815847403 Jul 13, 2019 (153)
69 EVA ss3825823133 Apr 27, 2020 (154)
70 EVA ss3833138900 Apr 27, 2020 (154)
71 EVA ss3840139078 Apr 27, 2020 (154)
72 EVA ss3845625668 Apr 27, 2020 (154)
73 SGDP_PRJ ss3878338636 Apr 27, 2020 (154)
74 KRGDB ss3926980947 Apr 27, 2020 (154)
75 KOGIC ss3972001819 Apr 27, 2020 (154)
76 FSA-LAB ss3984030318 Apr 26, 2021 (155)
77 EVA ss3984667455 Apr 26, 2021 (155)
78 EVA ss3986573407 Apr 26, 2021 (155)
79 EVA ss4017590588 Apr 26, 2021 (155)
80 TOPMED ss4919367090 Apr 26, 2021 (155)
81 TOMMO_GENOMICS ss5206466023 Apr 26, 2021 (155)
82 1000G_HIGH_COVERAGE ss5290919541 Oct 16, 2022 (156)
83 EVA ss5315623039 Oct 16, 2022 (156)
84 EVA ss5405829444 Oct 16, 2022 (156)
85 HUGCELL_USP ss5485658142 Oct 16, 2022 (156)
86 1000G_HIGH_COVERAGE ss5588457591 Oct 16, 2022 (156)
87 EVA ss5623958038 Oct 16, 2022 (156)
88 SANFORD_IMAGENETICS ss5653216101 Oct 16, 2022 (156)
89 TOMMO_GENOMICS ss5756301113 Oct 16, 2022 (156)
90 EVA ss5799873135 Oct 16, 2022 (156)
91 EVA ss5800177976 Oct 16, 2022 (156)
92 YY_MCH ss5813325103 Oct 16, 2022 (156)
93 EVA ss5838007449 Oct 16, 2022 (156)
94 EVA ss5848354523 Oct 16, 2022 (156)
95 EVA ss5904514837 Oct 16, 2022 (156)
96 EVA ss5944578374 Oct 16, 2022 (156)
97 EVA ss5980742223 Oct 16, 2022 (156)
98 1000Genomes NC_000012.11 - 56359878 Oct 12, 2018 (152)
99 1000Genomes_30x NC_000012.12 - 55966094 Oct 16, 2022 (156)
100 The Avon Longitudinal Study of Parents and Children NC_000012.11 - 56359878 Oct 12, 2018 (152)
101 Genetic variation in the Estonian population NC_000012.11 - 56359878 Oct 12, 2018 (152)
102 The Danish reference pan genome NC_000012.11 - 56359878 Apr 27, 2020 (154)
103 gnomAD - Genomes NC_000012.12 - 55966094 Apr 26, 2021 (155)
104 Genome of the Netherlands Release 5 NC_000012.11 - 56359878 Apr 27, 2020 (154)
105 HapMap NC_000012.12 - 55966094 Apr 27, 2020 (154)
106 KOREAN population from KRGDB NC_000012.11 - 56359878 Apr 27, 2020 (154)
107 Korean Genome Project NC_000012.12 - 55966094 Apr 27, 2020 (154)
108 Medical Genome Project healthy controls from Spanish population NC_000012.11 - 56359878 Apr 27, 2020 (154)
109 Northern Sweden NC_000012.11 - 56359878 Jul 13, 2019 (153)
110 CNV burdens in cranial meningiomas NC_000012.11 - 56359878 Apr 26, 2021 (155)
111 Qatari NC_000012.11 - 56359878 Apr 27, 2020 (154)
112 SGDP_PRJ NC_000012.11 - 56359878 Apr 27, 2020 (154)
113 Siberian NC_000012.11 - 56359878 Apr 27, 2020 (154)
114 8.3KJPN NC_000012.11 - 56359878 Apr 26, 2021 (155)
115 14KJPN NC_000012.12 - 55966094 Oct 16, 2022 (156)
116 TopMed NC_000012.12 - 55966094 Apr 26, 2021 (155)
117 UK 10K study - Twins NC_000012.11 - 56359878 Oct 12, 2018 (152)
118 ALFA NC_000012.12 - 55966094 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).

Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss118827651, ss198224059, ss480408767, ss1599237092, ss1713330021, ss2094873832, ss2635037227, ss3642958657 NC_000012.10:54646144:C:T NC_000012.12:55966093:C:T (self)
57891864, 32142750, 22747925, 2975225, 14342616, 34158341, 448511, 12333820, 216948, 14971680, 30355616, 8071774, 64435330, 32142750, ss225768359, ss235945860, ss480422037, ss481204077, ss485001930, ss537033505, ss563183890, ss658742748, ss778698688, ss782947265, ss783909715, ss832203112, ss834157578, ss989563953, ss1078482690, ss1345138717, ss1576301200, ss1628652219, ss1671646252, ss1711332751, ss1752073701, ss1932929750, ss2027215009, ss2095035115, ss2155555420, ss2632963205, ss2699900226, ss2710762972, ss2910858022, ss2984977043, ss2985617857, ss3009740484, ss3350078576, ss3626885482, ss3630972174, ss3633021489, ss3633722517, ss3634506797, ss3635413256, ss3636191648, ss3637164245, ss3637965219, ss3640214131, ss3651811992, ss3653750379, ss3677009677, ss3739048955, ss3744807471, ss3750516519, ss3772306918, ss3825823133, ss3833138900, ss3840139078, ss3878338636, ss3926980947, ss3984030318, ss3984667455, ss3986573407, ss4017590588, ss5206466023, ss5315623039, ss5405829444, ss5623958038, ss5653216101, ss5799873135, ss5800177976, ss5838007449, ss5848354523, ss5944578374, ss5980742223 NC_000012.11:56359877:C:T NC_000012.12:55966093:C:T (self)
75983526, 408241183, 822278, 28379820, 90138217, 134912747, 7908993049, ss2190035799, ss3693730962, ss3815847403, ss3845625668, ss3972001819, ss4919367090, ss5290919541, ss5485658142, ss5588457591, ss5756301113, ss5813325103, ss5904514837 NC_000012.12:55966093:C:T NC_000012.12:55966093:C:T (self)
ss2981448, ss6564258, ss69109870, ss75110484, ss120255152, ss160497354, ss173093832 NT_029419.12:18503183:C:T NC_000012.12:55966093:C:T (self)
Help

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

3 citations for rs2069391
PMID Title Author Year Journal
18778477 Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival. Van Ness B et al. 2008 BMC medicine
19258477 Candidate gene analysis using imputed genotypes: cell cycle single-nucleotide polymorphisms and ovarian cancer risk. Goode EL et al. 2009 Cancer epidemiology, biomarkers & prevention
19738611 Cell cycle genes and ovarian cancer susceptibility: a tagSNP analysis. Cunningham JM et al. 2009 British journal of cancer
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