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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.

rs7595037

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr2:68419963 (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 / C>T
Variation Type
SNV Single Nucleotide Variation
Frequency
C=0.424768 (138103/325126, ALFA)
C=0.410869 (108753/264690, TOPMED)
C=0.432607 (60513/139880, GnomAD) (+ 20 more)
C=0.35439 (27889/78696, PAGE_STUDY)
C=0.14477 (4091/28258, 14KJPN)
C=0.14248 (2388/16760, 8.3KJPN)
C=0.3362 (2153/6404, 1000G_30x)
C=0.3285 (1645/5008, 1000G)
C=0.4701 (2106/4480, Estonian)
C=0.4429 (1707/3854, ALSPAC)
C=0.4442 (1647/3708, TWINSUK)
C=0.2510 (523/2084, HGDP_Stanford)
C=0.3457 (654/1892, HapMap)
C=0.430 (429/998, GoNL)
C=0.090 (71/790, PRJEB37584)
C=0.488 (293/600, NorthernSweden)
C=0.169 (86/510, SGDP_PRJ)
C=0.356 (77/216, Qatari)
C=0.061 (13/214, Vietnamese)
C=0.36 (28/78, Ancient Sardinia)
C=0.26 (14/54, Siberian)
C=0.38 (15/40, GENOME_DK)
C=0.2 (2/8, KOREAN)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
None
Publications
4 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 330162 C=0.424949 T=0.575051
European Sub 289996 C=0.437389 T=0.562611
African Sub 9524 C=0.4747 T=0.5253
African Others Sub 372 C=0.513 T=0.487
African American Sub 9152 C=0.4731 T=0.5269
Asian Sub 3936 C=0.0945 T=0.9055
East Asian Sub 3190 C=0.1078 T=0.8922
Other Asian Sub 746 C=0.038 T=0.962
Latin American 1 Sub 1134 C=0.4330 T=0.5670
Latin American 2 Sub 7226 C=0.2207 T=0.7793
South Asian Sub 5224 C=0.2835 T=0.7165
Other Sub 13122 C=0.38112 T=0.61888


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
Allele Frequency Aggregator Total Global 325126 C=0.424768 T=0.575232
Allele Frequency Aggregator European Sub 286902 C=0.437337 T=0.562663
Allele Frequency Aggregator Other Sub 12322 C=0.38297 T=0.61703
Allele Frequency Aggregator African Sub 8382 C=0.4739 T=0.5261
Allele Frequency Aggregator Latin American 2 Sub 7226 C=0.2207 T=0.7793
Allele Frequency Aggregator South Asian Sub 5224 C=0.2835 T=0.7165
Allele Frequency Aggregator Asian Sub 3936 C=0.0945 T=0.9055
Allele Frequency Aggregator Latin American 1 Sub 1134 C=0.4330 T=0.5670
TopMed Global Study-wide 264690 C=0.410869 T=0.589131
gnomAD - Genomes Global Study-wide 139880 C=0.432607 T=0.567393
gnomAD - Genomes European Sub 75788 C=0.45134 T=0.54866
gnomAD - Genomes African Sub 41856 C=0.47680 T=0.52320
gnomAD - Genomes American Sub 13648 C=0.31103 T=0.68897
gnomAD - Genomes Ashkenazi Jewish Sub 3318 C=0.3059 T=0.6941
gnomAD - Genomes East Asian Sub 3120 C=0.0920 T=0.9080
gnomAD - Genomes Other Sub 2150 C=0.3735 T=0.6265
The PAGE Study Global Study-wide 78696 C=0.35439 T=0.64561
The PAGE Study AfricanAmerican Sub 32514 C=0.47410 T=0.52590
The PAGE Study Mexican Sub 10810 C=0.21748 T=0.78252
The PAGE Study Asian Sub 8318 C=0.1350 T=0.8650
The PAGE Study PuertoRican Sub 7914 C=0.4145 T=0.5855
The PAGE Study NativeHawaiian Sub 4534 C=0.1427 T=0.8573
The PAGE Study Cuban Sub 4230 C=0.3868 T=0.6132
The PAGE Study Dominican Sub 3828 C=0.4261 T=0.5739
The PAGE Study CentralAmerican Sub 2450 C=0.2588 T=0.7412
The PAGE Study SouthAmerican Sub 1982 C=0.2583 T=0.7417
The PAGE Study NativeAmerican Sub 1260 C=0.3460 T=0.6540
The PAGE Study SouthAsian Sub 856 C=0.262 T=0.738
14KJPN JAPANESE Study-wide 28258 C=0.14477 T=0.85523
8.3KJPN JAPANESE Study-wide 16760 C=0.14248 T=0.85752
1000Genomes_30x Global Study-wide 6404 C=0.3362 T=0.6638
1000Genomes_30x African Sub 1786 C=0.4877 T=0.5123
1000Genomes_30x Europe Sub 1266 C=0.4360 T=0.5640
1000Genomes_30x South Asian Sub 1202 C=0.2621 T=0.7379
1000Genomes_30x East Asian Sub 1170 C=0.0940 T=0.9060
1000Genomes_30x American Sub 980 C=0.311 T=0.689
1000Genomes Global Study-wide 5008 C=0.3285 T=0.6715
1000Genomes African Sub 1322 C=0.4871 T=0.5129
1000Genomes East Asian Sub 1008 C=0.0962 T=0.9038
1000Genomes Europe Sub 1006 C=0.4334 T=0.5666
1000Genomes South Asian Sub 978 C=0.261 T=0.739
1000Genomes American Sub 694 C=0.307 T=0.693
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.4701 T=0.5299
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.4429 T=0.5571
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.4442 T=0.5558
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 C=0.2510 T=0.7490
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 C=0.104 T=0.896
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 C=0.285 T=0.715
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 C=0.320 T=0.680
HGDP-CEPH-db Supplement 1 Europe Sub 320 C=0.425 T=0.575
HGDP-CEPH-db Supplement 1 Africa Sub 242 C=0.384 T=0.616
HGDP-CEPH-db Supplement 1 America Sub 216 C=0.069 T=0.931
HGDP-CEPH-db Supplement 1 Oceania Sub 72 C=0.00 T=1.00
HapMap Global Study-wide 1892 C=0.3457 T=0.6543
HapMap American Sub 770 C=0.327 T=0.673
HapMap African Sub 692 C=0.447 T=0.553
HapMap Asian Sub 254 C=0.134 T=0.866
HapMap Europe Sub 176 C=0.335 T=0.665
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.430 T=0.570
CNV burdens in cranial meningiomas Global Study-wide 790 C=0.090 T=0.910
CNV burdens in cranial meningiomas CRM Sub 790 C=0.090 T=0.910
Northern Sweden ACPOP Study-wide 600 C=0.488 T=0.512
SGDP_PRJ Global Study-wide 510 C=0.169 T=0.831
Qatari Global Study-wide 216 C=0.356 T=0.644
A Vietnamese Genetic Variation Database Global Study-wide 214 C=0.061 T=0.939
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 78 C=0.36 T=0.64
Siberian Global Study-wide 54 C=0.26 T=0.74
The Danish reference pan genome Danish Study-wide 40 C=0.38 T=0.62
KOREAN population from KRGDB KOREAN Study-wide 8 C=0.2 A=0.0, T=0.8
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 2 NC_000002.12:g.68419963C>A
GRCh38.p14 chr 2 NC_000002.12:g.68419963C>T
GRCh37.p13 chr 2 NC_000002.11:g.68647095C>A
GRCh37.p13 chr 2 NC_000002.11:g.68647095C>T
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= A T
GRCh38.p14 chr 2 NC_000002.12:g.68419963= NC_000002.12:g.68419963C>A NC_000002.12:g.68419963C>T
GRCh37.p13 chr 2 NC_000002.11:g.68647095= NC_000002.11:g.68647095C>A NC_000002.11:g.68647095C>T
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#.

145 SubSNP, 23 Frequency submissions
No Submitter Submission ID Date (Build)
1 WI_SSAHASNP ss11502689 Jul 11, 2003 (116)
2 CSHL-HAPMAP ss16877464 Feb 27, 2004 (120)
3 CSHL-HAPMAP ss19464432 Feb 27, 2004 (120)
4 SSAHASNP ss21729323 Apr 05, 2004 (121)
5 ABI ss41656746 Mar 15, 2006 (126)
6 ILLUMINA ss66659315 Dec 03, 2006 (127)
7 ILLUMINA ss67804046 Dec 03, 2006 (127)
8 ILLUMINA ss67974784 Dec 03, 2006 (127)
9 CSHL-HAPMAP ss68382632 Jan 12, 2007 (127)
10 PERLEGEN ss68818151 May 16, 2007 (127)
11 ILLUMINA ss70936466 May 24, 2008 (130)
12 ILLUMINA ss71539296 May 16, 2007 (127)
13 ILLUMINA ss75501757 Dec 06, 2007 (129)
14 ILLUMINA ss79262299 Dec 15, 2007 (130)
15 HGSV ss81790179 Dec 15, 2007 (130)
16 HGSV ss82385178 Dec 15, 2007 (130)
17 KRIBB_YJKIM ss84686741 Dec 15, 2007 (130)
18 BCMHGSC_JDW ss91198671 Mar 24, 2008 (129)
19 BGI ss106096993 Feb 04, 2009 (130)
20 1000GENOMES ss109608031 Jan 24, 2009 (130)
21 1000GENOMES ss110423645 Jan 24, 2009 (130)
22 ILLUMINA-UK ss117746302 Feb 14, 2009 (130)
23 ILLUMINA ss122788310 Dec 01, 2009 (131)
24 ENSEMBL ss138461975 Dec 01, 2009 (131)
25 ILLUMINA ss154433103 Dec 01, 2009 (131)
26 GMI ss157185391 Dec 01, 2009 (131)
27 ILLUMINA ss159608172 Dec 01, 2009 (131)
28 ILLUMINA ss160892977 Dec 01, 2009 (131)
29 ENSEMBL ss161284339 Dec 01, 2009 (131)
30 COMPLETE_GENOMICS ss163558006 Jul 04, 2010 (132)
31 COMPLETE_GENOMICS ss164600340 Jul 04, 2010 (132)
32 ILLUMINA ss172313630 Jul 04, 2010 (132)
33 ILLUMINA ss174440038 Jul 04, 2010 (132)
34 BUSHMAN ss200579850 Jul 04, 2010 (132)
35 1000GENOMES ss219307217 Jul 14, 2010 (132)
36 1000GENOMES ss231214347 Jul 14, 2010 (132)
37 1000GENOMES ss238757800 Jul 15, 2010 (132)
38 BL ss253179845 May 09, 2011 (134)
39 GMI ss276512222 May 04, 2012 (137)
40 PJP ss292289380 May 09, 2011 (134)
41 ILLUMINA ss481609326 May 04, 2012 (137)
42 ILLUMINA ss481639443 May 04, 2012 (137)
43 ILLUMINA ss482607782 Sep 08, 2015 (146)
44 ILLUMINA ss485599553 May 04, 2012 (137)
45 ILLUMINA ss537487960 Sep 08, 2015 (146)
46 TISHKOFF ss555638210 Apr 25, 2013 (138)
47 SSMP ss649227060 Apr 25, 2013 (138)
48 ILLUMINA ss778607919 Sep 08, 2015 (146)
49 ILLUMINA ss783245378 Sep 08, 2015 (146)
50 ILLUMINA ss784199088 Sep 08, 2015 (146)
51 ILLUMINA ss825592817 Apr 01, 2015 (144)
52 ILLUMINA ss832506009 Sep 08, 2015 (146)
53 ILLUMINA ss833119150 Jul 13, 2019 (153)
54 ILLUMINA ss834065293 Sep 08, 2015 (146)
55 EVA-GONL ss976957022 Aug 21, 2014 (142)
56 JMKIDD_LAB ss1069206663 Aug 21, 2014 (142)
57 1000GENOMES ss1297703158 Aug 21, 2014 (142)
58 DDI ss1428612504 Apr 01, 2015 (144)
59 EVA_GENOME_DK ss1578928188 Apr 01, 2015 (144)
60 EVA_DECODE ss1586372012 Apr 01, 2015 (144)
61 EVA_UK10K_ALSPAC ss1603766545 Apr 01, 2015 (144)
62 EVA_UK10K_TWINSUK ss1646760578 Apr 01, 2015 (144)
63 EVA_SVP ss1712464425 Apr 01, 2015 (144)
64 ILLUMINA ss1752366657 Sep 08, 2015 (146)
65 HAMMER_LAB ss1796902072 Sep 08, 2015 (146)
66 WEILL_CORNELL_DGM ss1920183639 Feb 12, 2016 (147)
67 ILLUMINA ss1946042897 Feb 12, 2016 (147)
68 ILLUMINA ss1958426737 Feb 12, 2016 (147)
69 GENOMED ss1968797772 Jul 19, 2016 (147)
70 JJLAB ss2020626360 Sep 14, 2016 (149)
71 ILLUMINA ss2094904979 Dec 20, 2016 (150)
72 ILLUMINA ss2095094735 Dec 20, 2016 (150)
73 ILLUMINA ss2095094736 Dec 20, 2016 (150)
74 USC_VALOUEV ss2148671611 Dec 20, 2016 (150)
75 HUMAN_LONGEVITY ss2231279883 Dec 20, 2016 (150)
76 SYSTEMSBIOZJU ss2624823028 Nov 08, 2017 (151)
77 ILLUMINA ss2633629031 Nov 08, 2017 (151)
78 GRF ss2703244054 Nov 08, 2017 (151)
79 ILLUMINA ss2710903625 Nov 08, 2017 (151)
80 GNOMAD ss2774809646 Nov 08, 2017 (151)
81 AFFY ss2985798575 Nov 08, 2017 (151)
82 SWEGEN ss2989688912 Nov 08, 2017 (151)
83 ILLUMINA ss3021981012 Nov 08, 2017 (151)
84 BIOINF_KMB_FNS_UNIBA ss3024080387 Nov 08, 2017 (151)
85 CSHL ss3344280261 Nov 08, 2017 (151)
86 ILLUMINA ss3625757625 Oct 11, 2018 (152)
87 ILLUMINA ss3628088274 Oct 11, 2018 (152)
88 ILLUMINA ss3631595077 Oct 11, 2018 (152)
89 ILLUMINA ss3633204375 Oct 11, 2018 (152)
90 ILLUMINA ss3633916213 Oct 11, 2018 (152)
91 ILLUMINA ss3634771333 Oct 11, 2018 (152)
92 ILLUMINA ss3635602392 Oct 11, 2018 (152)
93 ILLUMINA ss3636458422 Oct 11, 2018 (152)
94 ILLUMINA ss3637354270 Oct 11, 2018 (152)
95 ILLUMINA ss3638266565 Oct 11, 2018 (152)
96 ILLUMINA ss3639138492 Oct 11, 2018 (152)
97 ILLUMINA ss3639581284 Oct 11, 2018 (152)
98 ILLUMINA ss3640478635 Oct 11, 2018 (152)
99 ILLUMINA ss3643236067 Oct 11, 2018 (152)
100 ILLUMINA ss3644745644 Oct 11, 2018 (152)
101 ILLUMINA ss3652415979 Oct 11, 2018 (152)
102 ILLUMINA ss3652415980 Oct 11, 2018 (152)
103 EGCUT_WGS ss3657668281 Jul 13, 2019 (153)
104 EVA_DECODE ss3704116364 Jul 13, 2019 (153)
105 ILLUMINA ss3725794374 Jul 13, 2019 (153)
106 ACPOP ss3728530534 Jul 13, 2019 (153)
107 ILLUMINA ss3744177371 Jul 13, 2019 (153)
108 ILLUMINA ss3744475992 Jul 13, 2019 (153)
109 ILLUMINA ss3745071245 Jul 13, 2019 (153)
110 EVA ss3756899111 Jul 13, 2019 (153)
111 PAGE_CC ss3770926536 Jul 13, 2019 (153)
112 ILLUMINA ss3772568043 Jul 13, 2019 (153)
113 PACBIO ss3783891740 Jul 13, 2019 (153)
114 PACBIO ss3789474032 Jul 13, 2019 (153)
115 PACBIO ss3794346977 Jul 13, 2019 (153)
116 KHV_HUMAN_GENOMES ss3801266465 Jul 13, 2019 (153)
117 EVA ss3827037588 Apr 25, 2020 (154)
118 EVA ss3836928552 Apr 25, 2020 (154)
119 EVA ss3842344516 Apr 25, 2020 (154)
120 HGDP ss3847621720 Apr 25, 2020 (154)
121 SGDP_PRJ ss3852501136 Apr 25, 2020 (154)
122 KRGDB ss3897935803 Apr 25, 2020 (154)
123 EVA ss3984484234 Apr 26, 2021 (155)
124 EVA ss3984900446 Apr 26, 2021 (155)
125 EVA ss4017001931 Apr 26, 2021 (155)
126 TOPMED ss4509849177 Apr 26, 2021 (155)
127 TOMMO_GENOMICS ss5151882784 Apr 26, 2021 (155)
128 1000G_HIGH_COVERAGE ss5248456393 Oct 12, 2022 (156)
129 EVA ss5314743981 Oct 12, 2022 (156)
130 EVA ss5329662979 Oct 12, 2022 (156)
131 HUGCELL_USP ss5448623515 Oct 12, 2022 (156)
132 EVA ss5506446683 Oct 12, 2022 (156)
133 1000G_HIGH_COVERAGE ss5523888402 Oct 12, 2022 (156)
134 SANFORD_IMAGENETICS ss5624448184 Oct 12, 2022 (156)
135 SANFORD_IMAGENETICS ss5628962854 Oct 12, 2022 (156)
136 TOMMO_GENOMICS ss5680655799 Oct 12, 2022 (156)
137 EVA ss5799535507 Oct 12, 2022 (156)
138 YY_MCH ss5802299410 Oct 12, 2022 (156)
139 EVA ss5820251485 Oct 12, 2022 (156)
140 EVA ss5847189874 Oct 12, 2022 (156)
141 EVA ss5847871178 Oct 12, 2022 (156)
142 EVA ss5852565977 Oct 12, 2022 (156)
143 EVA ss5930826500 Oct 12, 2022 (156)
144 EVA ss5955207863 Oct 12, 2022 (156)
145 EVA ss5979570376 Oct 12, 2022 (156)
146 1000Genomes NC_000002.11 - 68647095 Oct 11, 2018 (152)
147 1000Genomes_30x NC_000002.12 - 68419963 Oct 12, 2022 (156)
148 The Avon Longitudinal Study of Parents and Children NC_000002.11 - 68647095 Oct 11, 2018 (152)
149 Genetic variation in the Estonian population NC_000002.11 - 68647095 Oct 11, 2018 (152)
150 The Danish reference pan genome NC_000002.11 - 68647095 Apr 25, 2020 (154)
151 gnomAD - Genomes NC_000002.12 - 68419963 Apr 26, 2021 (155)
152 Genome of the Netherlands Release 5 NC_000002.11 - 68647095 Apr 25, 2020 (154)
153 HGDP-CEPH-db Supplement 1 NC_000002.10 - 68500599 Apr 25, 2020 (154)
154 HapMap NC_000002.12 - 68419963 Apr 25, 2020 (154)
155 KOREAN population from KRGDB NC_000002.11 - 68647095 Apr 25, 2020 (154)
156 Northern Sweden NC_000002.11 - 68647095 Jul 13, 2019 (153)
157 The PAGE Study NC_000002.12 - 68419963 Jul 13, 2019 (153)
158 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000002.11 - 68647095 Apr 26, 2021 (155)
159 CNV burdens in cranial meningiomas NC_000002.11 - 68647095 Apr 26, 2021 (155)
160 Qatari NC_000002.11 - 68647095 Apr 25, 2020 (154)
161 SGDP_PRJ NC_000002.11 - 68647095 Apr 25, 2020 (154)
162 Siberian NC_000002.11 - 68647095 Apr 25, 2020 (154)
163 8.3KJPN NC_000002.11 - 68647095 Apr 26, 2021 (155)
164 14KJPN NC_000002.12 - 68419963 Oct 12, 2022 (156)
165 TopMed NC_000002.12 - 68419963 Apr 26, 2021 (155)
166 UK 10K study - Twins NC_000002.11 - 68647095 Oct 11, 2018 (152)
167 A Vietnamese Genetic Variation Database NC_000002.11 - 68647095 Jul 13, 2019 (153)
168 ALFA NC_000002.12 - 68419963 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)
rs58347768 May 24, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
5113197, ss3897935803 NC_000002.11:68647094:C:A NC_000002.12:68419962:C:A (self)
ss81790179, ss82385178, ss3639138492, ss3639581284 NC_000002.9:68558745:C:T NC_000002.12:68419962:C:T (self)
299612, ss91198671, ss109608031, ss110423645, ss117746302, ss163558006, ss164600340, ss200579850, ss253179845, ss276512222, ss292289380, ss481609326, ss825592817, ss1586372012, ss1712464425, ss2094904979, ss3643236067, ss3847621720 NC_000002.10:68500598:C:T NC_000002.12:68419962:C:T (self)
8663078, 4819965, 3406529, 5098442, 2118009, 5113197, 1815399, 126373, 33563, 2225569, 4518116, 1187965, 9852091, 4819965, 1044880, ss219307217, ss231214347, ss238757800, ss481639443, ss482607782, ss485599553, ss537487960, ss555638210, ss649227060, ss778607919, ss783245378, ss784199088, ss832506009, ss833119150, ss834065293, ss976957022, ss1069206663, ss1297703158, ss1428612504, ss1578928188, ss1603766545, ss1646760578, ss1752366657, ss1796902072, ss1920183639, ss1946042897, ss1958426737, ss1968797772, ss2020626360, ss2095094735, ss2095094736, ss2148671611, ss2624823028, ss2633629031, ss2703244054, ss2710903625, ss2774809646, ss2985798575, ss2989688912, ss3021981012, ss3344280261, ss3625757625, ss3628088274, ss3631595077, ss3633204375, ss3633916213, ss3634771333, ss3635602392, ss3636458422, ss3637354270, ss3638266565, ss3640478635, ss3644745644, ss3652415979, ss3652415980, ss3657668281, ss3728530534, ss3744177371, ss3744475992, ss3745071245, ss3756899111, ss3772568043, ss3783891740, ss3789474032, ss3794346977, ss3827037588, ss3836928552, ss3852501136, ss3897935803, ss3984484234, ss3984900446, ss4017001931, ss5151882784, ss5314743981, ss5329662979, ss5506446683, ss5624448184, ss5628962854, ss5799535507, ss5820251485, ss5847189874, ss5847871178, ss5955207863, ss5979570376 NC_000002.11:68647094:C:T NC_000002.12:68419962:C:T (self)
11414337, 61535276, 1821666, 148005, 14492903, 313672056, 11058357265, ss2231279883, ss3024080387, ss3704116364, ss3725794374, ss3770926536, ss3801266465, ss3842344516, ss4509849177, ss5248456393, ss5448623515, ss5523888402, ss5680655799, ss5802299410, ss5852565977, ss5930826500 NC_000002.12:68419962:C:T NC_000002.12:68419962:C:T (self)
ss11502689 NT_022184.12:47463026:C:T NC_000002.12:68419962:C:T (self)
ss16877464, ss19464432, ss21729323 NT_022184.13:47463026:C:T NC_000002.12:68419962:C:T (self)
ss41656746, ss66659315, ss67804046, ss67974784, ss68382632, ss68818151, ss70936466, ss71539296, ss75501757, ss79262299, ss84686741, ss106096993, ss122788310, ss138461975, ss154433103, ss157185391, ss159608172, ss160892977, ss161284339, ss172313630, ss174440038 NT_022184.15:47468981:C:T NC_000002.12:68419962: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.

4 citations for rs7595037
PMID Title Author Year Journal
22164203 Perspectives on the use of multiple sclerosis risk genes for prediction. Jafari N et al. 2011 PloS one
22396755 Genomic regions associated with multiple sclerosis are active in B cells. Disanto G et al. 2012 PloS one
23730204 Progress in multiple sclerosis genetics. Goris A et al. 2012 Current genomics
27802296 A Risk Score for Predicting Multiple Sclerosis. Dobson R et al. 2016 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