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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.

rs11635424

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr15:67745240 (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>C / A>G
Variation Type
SNV Single Nucleotide Variation
Frequency
G=0.492399 (130333/264690, TOPMED)
A=0.377879 (76067/201300, ALFA)
A=0.473380 (66276/140006, GnomAD) (+ 22 more)
G=0.32830 (9277/28258, 14KJPN)
G=0.33055 (5540/16760, 8.3KJPN)
G=0.4210 (2696/6404, 1000G_30x)
G=0.4253 (2130/5008, 1000G)
A=0.2933 (1314/4480, Estonian)
A=0.3194 (1231/3854, ALSPAC)
A=0.3188 (1182/3708, TWINSUK)
G=0.3297 (966/2930, KOREAN)
G=0.4405 (918/2084, HGDP_Stanford)
G=0.4123 (780/1892, HapMap)
G=0.3455 (633/1832, Korea1K)
A=0.4320 (489/1132, Daghestan)
A=0.288 (287/998, GoNL)
G=0.333 (263/790, PRJEB37584)
G=0.364 (228/626, Chileans)
A=0.297 (178/600, NorthernSweden)
A=0.339 (120/354, SGDP_PRJ)
G=0.417 (90/216, Qatari)
G=0.336 (72/214, Vietnamese)
A=0.19 (10/54, Ancient Sardinia)
A=0.28 (13/46, Siberian)
A=0.35 (14/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
MAP2K5 : Intron Variant
Publications
7 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 201300 A=0.377879 C=0.000000, G=0.622121
European Sub 169742 A=0.335085 C=0.000000, G=0.664915
African Sub 9302 A=0.7547 C=0.0000, G=0.2453
African Others Sub 330 A=0.833 C=0.000, G=0.167
African American Sub 8972 A=0.7518 C=0.0000, G=0.2482
Asian Sub 690 A=0.686 C=0.000, G=0.314
East Asian Sub 524 A=0.687 C=0.000, G=0.313
Other Asian Sub 166 A=0.681 C=0.000, G=0.319
Latin American 1 Sub 880 A=0.532 C=0.000, G=0.468
Latin American 2 Sub 8746 A=0.6740 C=0.0000, G=0.3260
South Asian Sub 4978 A=0.4335 C=0.0000, G=0.5665
Other Sub 6962 A=0.4560 C=0.0000, G=0.5440


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=0.507601 G=0.492399
Allele Frequency Aggregator Total Global 201300 A=0.377879 C=0.000000, G=0.622121
Allele Frequency Aggregator European Sub 169742 A=0.335085 C=0.000000, G=0.664915
Allele Frequency Aggregator African Sub 9302 A=0.7547 C=0.0000, G=0.2453
Allele Frequency Aggregator Latin American 2 Sub 8746 A=0.6740 C=0.0000, G=0.3260
Allele Frequency Aggregator Other Sub 6962 A=0.4560 C=0.0000, G=0.5440
Allele Frequency Aggregator South Asian Sub 4978 A=0.4335 C=0.0000, G=0.5665
Allele Frequency Aggregator Latin American 1 Sub 880 A=0.532 C=0.000, G=0.468
Allele Frequency Aggregator Asian Sub 690 A=0.686 C=0.000, G=0.314
gnomAD - Genomes Global Study-wide 140006 A=0.473380 G=0.526620
gnomAD - Genomes European Sub 75862 A=0.31999 G=0.68001
gnomAD - Genomes African Sub 41934 A=0.70938 G=0.29062
gnomAD - Genomes American Sub 13626 A=0.56671 G=0.43329
gnomAD - Genomes Ashkenazi Jewish Sub 3320 A=0.4627 G=0.5373
gnomAD - Genomes East Asian Sub 3120 A=0.6282 G=0.3718
gnomAD - Genomes Other Sub 2144 A=0.4832 G=0.5168
14KJPN JAPANESE Study-wide 28258 A=0.67170 G=0.32830
8.3KJPN JAPANESE Study-wide 16760 A=0.66945 G=0.33055
1000Genomes_30x Global Study-wide 6404 A=0.5790 G=0.4210
1000Genomes_30x African Sub 1786 A=0.7699 G=0.2301
1000Genomes_30x Europe Sub 1266 A=0.3483 G=0.6517
1000Genomes_30x South Asian Sub 1202 A=0.4626 G=0.5374
1000Genomes_30x East Asian Sub 1170 A=0.6274 G=0.3726
1000Genomes_30x American Sub 980 A=0.614 G=0.386
1000Genomes Global Study-wide 5008 A=0.5747 G=0.4253
1000Genomes African Sub 1322 A=0.7595 G=0.2405
1000Genomes East Asian Sub 1008 A=0.6260 G=0.3740
1000Genomes Europe Sub 1006 A=0.3608 G=0.6392
1000Genomes South Asian Sub 978 A=0.466 G=0.534
1000Genomes American Sub 694 A=0.611 G=0.389
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.2933 G=0.7067
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.3194 G=0.6806
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.3188 G=0.6812
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.6703 G=0.3297
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 A=0.5595 G=0.4405
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 A=0.647 G=0.353
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 A=0.432 G=0.568
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 A=0.414 G=0.586
HGDP-CEPH-db Supplement 1 Europe Sub 320 A=0.287 G=0.713
HGDP-CEPH-db Supplement 1 Africa Sub 242 A=0.760 G=0.240
HGDP-CEPH-db Supplement 1 America Sub 216 A=0.977 G=0.023
HGDP-CEPH-db Supplement 1 Oceania Sub 72 A=0.71 G=0.29
HapMap Global Study-wide 1892 A=0.5877 G=0.4123
HapMap American Sub 770 A=0.497 G=0.503
HapMap African Sub 692 A=0.714 G=0.286
HapMap Asian Sub 254 A=0.665 G=0.335
HapMap Europe Sub 176 A=0.375 G=0.625
Korean Genome Project KOREAN Study-wide 1832 A=0.6545 G=0.3455
Genome-wide autozygosity in Daghestan Global Study-wide 1132 A=0.4320 G=0.5680
Genome-wide autozygosity in Daghestan Daghestan Sub 626 A=0.460 G=0.540
Genome-wide autozygosity in Daghestan Near_East Sub 144 A=0.389 G=0.611
Genome-wide autozygosity in Daghestan Central Asia Sub 122 A=0.426 G=0.574
Genome-wide autozygosity in Daghestan Europe Sub 108 A=0.315 G=0.685
Genome-wide autozygosity in Daghestan South Asian Sub 96 A=0.48 G=0.52
Genome-wide autozygosity in Daghestan Caucasus Sub 36 A=0.36 G=0.64
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.288 G=0.712
CNV burdens in cranial meningiomas Global Study-wide 790 A=0.667 G=0.333
CNV burdens in cranial meningiomas CRM Sub 790 A=0.667 G=0.333
Chileans Chilean Study-wide 626 A=0.636 G=0.364
Northern Sweden ACPOP Study-wide 600 A=0.297 G=0.703
SGDP_PRJ Global Study-wide 354 A=0.339 G=0.661
Qatari Global Study-wide 216 A=0.583 G=0.417
A Vietnamese Genetic Variation Database Global Study-wide 214 A=0.664 G=0.336
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 54 A=0.19 G=0.81
Siberian Global Study-wide 46 A=0.28 G=0.72
The Danish reference pan genome Danish Study-wide 40 A=0.35 G=0.65
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 15 NC_000015.10:g.67745240A>C
GRCh38.p14 chr 15 NC_000015.10:g.67745240A>G
GRCh37.p13 chr 15 NC_000015.9:g.68037578A>C
GRCh37.p13 chr 15 NC_000015.9:g.68037578A>G
MAP2K5 RefSeqGene NG_029143.1:g.207558A>C
MAP2K5 RefSeqGene NG_029143.1:g.207558A>G
Gene: MAP2K5, mitogen-activated protein kinase kinase 5 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
MAP2K5 transcript variant 3 NM_001206804.2:c.967-2991…

NM_001206804.2:c.967-2991A>C

N/A Intron Variant
MAP2K5 transcript variant 2 NM_002757.4:c.1045-2991A>C N/A Intron Variant
MAP2K5 transcript variant 1 NM_145160.3:c.1075-2991A>C N/A Intron Variant
MAP2K5 transcript variant X1 XM_011521787.4:c. N/A Genic Downstream Transcript Variant
MAP2K5 transcript variant X2 XM_011521788.4:c. N/A Genic Downstream Transcript Variant
MAP2K5 transcript variant X4 XM_017022414.3:c. N/A Genic Downstream Transcript Variant
MAP2K5 transcript variant X5 XM_047432856.1:c. N/A Genic Downstream Transcript Variant
MAP2K5 transcript variant X3 XR_007064474.1:n. N/A Genic Downstream 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 A= C G
GRCh38.p14 chr 15 NC_000015.10:g.67745240= NC_000015.10:g.67745240A>C NC_000015.10:g.67745240A>G
GRCh37.p13 chr 15 NC_000015.9:g.68037578= NC_000015.9:g.68037578A>C NC_000015.9:g.68037578A>G
MAP2K5 RefSeqGene NG_029143.1:g.207558= NG_029143.1:g.207558A>C NG_029143.1:g.207558A>G
MAP2K5 transcript variant 3 NM_001206804.1:c.967-2991= NM_001206804.1:c.967-2991A>C NM_001206804.1:c.967-2991A>G
MAP2K5 transcript variant 3 NM_001206804.2:c.967-2991= NM_001206804.2:c.967-2991A>C NM_001206804.2:c.967-2991A>G
MAP2K5 transcript variant 2 NM_002757.3:c.1045-2991= NM_002757.3:c.1045-2991A>C NM_002757.3:c.1045-2991A>G
MAP2K5 transcript variant 2 NM_002757.4:c.1045-2991= NM_002757.4:c.1045-2991A>C NM_002757.4:c.1045-2991A>G
MAP2K5 transcript variant 1 NM_145160.2:c.1075-2991= NM_145160.2:c.1075-2991A>C NM_145160.2:c.1075-2991A>G
MAP2K5 transcript variant 1 NM_145160.3:c.1075-2991= NM_145160.3:c.1075-2991A>C NM_145160.3:c.1075-2991A>G
MAP2K5 transcript variant X1 XM_005254542.1:c.1045-2991= XM_005254542.1:c.1045-2991A>C XM_005254542.1:c.1045-2991A>G
MAP2K5 transcript variant X2 XM_005254543.1:c.667-2991= XM_005254543.1:c.667-2991A>C XM_005254543.1:c.667-2991A>G
MAP2K5 transcript variant X3 XM_005254544.1:c.595-2991= XM_005254544.1:c.595-2991A>C XM_005254544.1:c.595-2991A>G
MAP2K5 transcript variant X4 XM_005254545.1:c.505-2991= XM_005254545.1:c.505-2991A>C XM_005254545.1:c.505-2991A>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#.

120 SubSNP, 25 Frequency submissions
No Submitter Submission ID Date (Build)
1 CSHL-HAPMAP ss16681883 Feb 28, 2004 (120)
2 SSAHASNP ss21242461 Apr 05, 2004 (121)
3 ABI ss43701988 Mar 15, 2006 (126)
4 AFFY ss66224875 Dec 02, 2006 (127)
5 ILLUMINA ss66938913 Dec 02, 2006 (127)
6 ILLUMINA ss67099885 Dec 02, 2006 (127)
7 ILLUMINA ss68108466 Dec 12, 2006 (127)
8 ILLUMINA ss70533522 May 25, 2008 (130)
9 ILLUMINA ss71064563 May 18, 2007 (127)
10 ILLUMINA ss75840056 Dec 07, 2007 (129)
11 AFFY ss76371010 Dec 07, 2007 (129)
12 HGSV ss78775162 Dec 07, 2007 (129)
13 KRIBB_YJKIM ss85110356 Dec 15, 2007 (130)
14 HUMANGENOME_JCVI ss96767986 Feb 05, 2009 (130)
15 BGI ss103248779 Dec 01, 2009 (131)
16 1000GENOMES ss108915195 Jan 23, 2009 (130)
17 ENSEMBL ss136869816 Dec 01, 2009 (131)
18 ILLUMINA ss153014109 Dec 01, 2009 (131)
19 ILLUMINA ss159180230 Dec 01, 2009 (131)
20 ILLUMINA ss159988090 Dec 01, 2009 (131)
21 COMPLETE_GENOMICS ss168245518 Jul 04, 2010 (132)
22 COMPLETE_GENOMICS ss171278320 Jul 04, 2010 (132)
23 ILLUMINA ss171368385 Jul 04, 2010 (132)
24 AFFY ss173405547 Jul 04, 2010 (132)
25 BUSHMAN ss200984682 Jul 04, 2010 (132)
26 BCM-HGSC-SUB ss207180305 Jul 04, 2010 (132)
27 1000GENOMES ss226953237 Jul 14, 2010 (132)
28 1000GENOMES ss236821986 Jul 15, 2010 (132)
29 1000GENOMES ss243200676 Jul 15, 2010 (132)
30 BL ss255078208 May 09, 2011 (134)
31 GMI ss282302132 May 04, 2012 (137)
32 GMI ss286974980 Apr 25, 2013 (138)
33 PJP ss291744152 May 09, 2011 (134)
34 ILLUMINA ss479547769 May 04, 2012 (137)
35 ILLUMINA ss479551810 May 04, 2012 (137)
36 ILLUMINA ss480018257 Sep 08, 2015 (146)
37 ILLUMINA ss484572721 May 04, 2012 (137)
38 ILLUMINA ss536706354 Sep 08, 2015 (146)
39 TISHKOFF ss564550910 Apr 25, 2013 (138)
40 SSMP ss660285419 Apr 25, 2013 (138)
41 ILLUMINA ss778761233 Sep 08, 2015 (146)
42 ILLUMINA ss782733140 Sep 08, 2015 (146)
43 ILLUMINA ss783700321 Sep 08, 2015 (146)
44 ILLUMINA ss831984930 Sep 08, 2015 (146)
45 ILLUMINA ss832692741 Jul 13, 2019 (153)
46 ILLUMINA ss834220998 Sep 08, 2015 (146)
47 EVA-GONL ss991907934 Aug 21, 2014 (142)
48 JMKIDD_LAB ss1080217081 Aug 21, 2014 (142)
49 1000GENOMES ss1353937974 Aug 21, 2014 (142)
50 HAMMER_LAB ss1397700511 Sep 08, 2015 (146)
51 DDI ss1427662983 Apr 01, 2015 (144)
52 EVA_GENOME_DK ss1577684428 Apr 01, 2015 (144)
53 EVA_UK10K_ALSPAC ss1633253644 Apr 01, 2015 (144)
54 EVA_UK10K_TWINSUK ss1676247677 Apr 01, 2015 (144)
55 EVA_DECODE ss1695931533 Apr 01, 2015 (144)
56 EVA_SVP ss1713499244 Apr 01, 2015 (144)
57 ILLUMINA ss1752168944 Sep 08, 2015 (146)
58 HAMMER_LAB ss1808257307 Sep 08, 2015 (146)
59 WEILL_CORNELL_DGM ss1935313066 Feb 12, 2016 (147)
60 GENOMED ss1968137264 Jul 19, 2016 (147)
61 JJLAB ss2028437530 Sep 14, 2016 (149)
62 USC_VALOUEV ss2156843209 Dec 20, 2016 (150)
63 HUMAN_LONGEVITY ss2207770714 Dec 20, 2016 (150)
64 SYSTEMSBIOZJU ss2628714016 Nov 08, 2017 (151)
65 ILLUMINA ss2633245195 Nov 08, 2017 (151)
66 GRF ss2701319985 Nov 08, 2017 (151)
67 GNOMAD ss2936255260 Nov 08, 2017 (151)
68 SWEGEN ss3013474112 Nov 08, 2017 (151)
69 BIOINF_KMB_FNS_UNIBA ss3028043940 Nov 08, 2017 (151)
70 CSHL ss3351169451 Nov 08, 2017 (151)
71 ILLUMINA ss3627389607 Oct 12, 2018 (152)
72 ILLUMINA ss3631236866 Oct 12, 2018 (152)
73 ILLUMINA ss3633101486 Oct 12, 2018 (152)
74 ILLUMINA ss3633806257 Oct 12, 2018 (152)
75 ILLUMINA ss3634612540 Oct 12, 2018 (152)
76 ILLUMINA ss3635495079 Oct 12, 2018 (152)
77 ILLUMINA ss3636302380 Oct 12, 2018 (152)
78 ILLUMINA ss3637246372 Oct 12, 2018 (152)
79 ILLUMINA ss3638092647 Oct 12, 2018 (152)
80 ILLUMINA ss3639059248 Oct 12, 2018 (152)
81 ILLUMINA ss3639838847 Oct 12, 2018 (152)
82 ILLUMINA ss3640319861 Oct 12, 2018 (152)
83 ILLUMINA ss3643076411 Oct 12, 2018 (152)
84 ILLUMINA ss3643888923 Oct 12, 2018 (152)
85 URBANLAB ss3650381697 Oct 12, 2018 (152)
86 EGCUT_WGS ss3680620986 Jul 13, 2019 (153)
87 EVA_DECODE ss3698126933 Jul 13, 2019 (153)
88 ACPOP ss3741026648 Jul 13, 2019 (153)
89 ILLUMINA ss3744913064 Jul 13, 2019 (153)
90 EVA ss3753234578 Jul 13, 2019 (153)
91 ILLUMINA ss3772411669 Jul 13, 2019 (153)
92 PACBIO ss3787881422 Jul 13, 2019 (153)
93 PACBIO ss3792888158 Jul 13, 2019 (153)
94 PACBIO ss3797772739 Jul 13, 2019 (153)
95 KHV_HUMAN_GENOMES ss3818545766 Jul 13, 2019 (153)
96 EVA ss3834295781 Apr 27, 2020 (154)
97 EVA ss3840747447 Apr 27, 2020 (154)
98 EVA ss3846236866 Apr 27, 2020 (154)
99 HGDP ss3847527656 Apr 27, 2020 (154)
100 SGDP_PRJ ss3883162056 Apr 27, 2020 (154)
101 KRGDB ss3932364459 Apr 27, 2020 (154)
102 KOGIC ss3976377192 Apr 27, 2020 (154)
103 EVA ss3984703252 Apr 27, 2021 (155)
104 EVA ss3985724029 Apr 27, 2021 (155)
105 EVA ss4017708076 Apr 27, 2021 (155)
106 TOPMED ss4995545814 Apr 27, 2021 (155)
107 TOMMO_GENOMICS ss5216742819 Apr 27, 2021 (155)
108 1000G_HIGH_COVERAGE ss5298855853 Oct 16, 2022 (156)
109 EVA ss5315793569 Oct 16, 2022 (156)
110 HUGCELL_USP ss5492544839 Oct 16, 2022 (156)
111 EVA ss5511470743 Oct 16, 2022 (156)
112 1000G_HIGH_COVERAGE ss5600464130 Oct 16, 2022 (156)
113 SANFORD_IMAGENETICS ss5657745147 Oct 16, 2022 (156)
114 TOMMO_GENOMICS ss5770711398 Oct 16, 2022 (156)
115 EVA ss5799941353 Oct 16, 2022 (156)
116 YY_MCH ss5815438917 Oct 16, 2022 (156)
117 EVA ss5828363266 Oct 16, 2022 (156)
118 EVA ss5851343026 Oct 16, 2022 (156)
119 EVA ss5876355991 Oct 16, 2022 (156)
120 EVA ss5949157229 Oct 16, 2022 (156)
121 1000Genomes NC_000015.9 - 68037578 Oct 12, 2018 (152)
122 1000Genomes_30x NC_000015.10 - 67745240 Oct 16, 2022 (156)
123 The Avon Longitudinal Study of Parents and Children NC_000015.9 - 68037578 Oct 12, 2018 (152)
124 Chileans NC_000015.9 - 68037578 Apr 27, 2020 (154)
125 Genome-wide autozygosity in Daghestan NC_000015.8 - 65824632 Apr 27, 2020 (154)
126 Genetic variation in the Estonian population NC_000015.9 - 68037578 Oct 12, 2018 (152)
127 The Danish reference pan genome NC_000015.9 - 68037578 Apr 27, 2020 (154)
128 gnomAD - Genomes NC_000015.10 - 67745240 Apr 27, 2021 (155)
129 Genome of the Netherlands Release 5 NC_000015.9 - 68037578 Apr 27, 2020 (154)
130 HGDP-CEPH-db Supplement 1 NC_000015.8 - 65824632 Apr 27, 2020 (154)
131 HapMap NC_000015.10 - 67745240 Apr 27, 2020 (154)
132 KOREAN population from KRGDB NC_000015.9 - 68037578 Apr 27, 2020 (154)
133 Korean Genome Project NC_000015.10 - 67745240 Apr 27, 2020 (154)
134 Northern Sweden NC_000015.9 - 68037578 Jul 13, 2019 (153)
135 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000015.9 - 68037578 Apr 27, 2021 (155)
136 CNV burdens in cranial meningiomas NC_000015.9 - 68037578 Apr 27, 2021 (155)
137 Qatari NC_000015.9 - 68037578 Apr 27, 2020 (154)
138 SGDP_PRJ NC_000015.9 - 68037578 Apr 27, 2020 (154)
139 Siberian NC_000015.9 - 68037578 Apr 27, 2020 (154)
140 8.3KJPN NC_000015.9 - 68037578 Apr 27, 2021 (155)
141 14KJPN NC_000015.10 - 67745240 Oct 16, 2022 (156)
142 TopMed NC_000015.10 - 67745240 Apr 27, 2021 (155)
143 UK 10K study - Twins NC_000015.9 - 68037578 Oct 12, 2018 (152)
144 A Vietnamese Genetic Variation Database NC_000015.9 - 68037578 Jul 13, 2019 (153)
145 ALFA NC_000015.10 - 67745240 Apr 27, 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)
rs59809541 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
4788276999 NC_000015.10:67745239:A:C NC_000015.10:67745239:A:C (self)
170649, 205548, ss78775162, ss108915195, ss168245518, ss171278320, ss200984682, ss207180305, ss255078208, ss282302132, ss286974980, ss291744152, ss479547769, ss1397700511, ss1695931533, ss1713499244, ss3639059248, ss3639838847, ss3643076411, ss3643888923, ss3847527656 NC_000015.8:65824631:A:G NC_000015.10:67745239:A:G (self)
67026708, 37217937, 155578, 26359234, 3906143, 16612958, 39541853, 14311513, 949956, 252775, 17354996, 35179036, 9359563, 74712126, 37217937, 8278667, ss226953237, ss236821986, ss243200676, ss479551810, ss480018257, ss484572721, ss536706354, ss564550910, ss660285419, ss778761233, ss782733140, ss783700321, ss831984930, ss832692741, ss834220998, ss991907934, ss1080217081, ss1353937974, ss1427662983, ss1577684428, ss1633253644, ss1676247677, ss1752168944, ss1808257307, ss1935313066, ss1968137264, ss2028437530, ss2156843209, ss2628714016, ss2633245195, ss2701319985, ss2936255260, ss3013474112, ss3351169451, ss3627389607, ss3631236866, ss3633101486, ss3633806257, ss3634612540, ss3635495079, ss3636302380, ss3637246372, ss3638092647, ss3640319861, ss3680620986, ss3741026648, ss3744913064, ss3753234578, ss3772411669, ss3787881422, ss3792888158, ss3797772739, ss3834295781, ss3840747447, ss3883162056, ss3932364459, ss3984703252, ss3985724029, ss4017708076, ss5216742819, ss5315793569, ss5511470743, ss5657745147, ss5799941353, ss5828363266, ss5949157229 NC_000015.9:68037577:A:G NC_000015.10:67745239:A:G (self)
87990065, 472534004, 1286955, 32755193, 104548502, 211091474, 4788276999, ss2207770714, ss3028043940, ss3650381697, ss3698126933, ss3818545766, ss3846236866, ss3976377192, ss4995545814, ss5298855853, ss5492544839, ss5600464130, ss5770711398, ss5815438917, ss5851343026, ss5876355991 NC_000015.10:67745239:A:G NC_000015.10:67745239:A:G (self)
ss16681883, ss21242461 NT_010194.16:38827896:A:G NC_000015.10:67745239:A:G (self)
ss43701988, ss66224875, ss66938913, ss67099885, ss68108466, ss70533522, ss71064563, ss75840056, ss76371010, ss85110356, ss96767986, ss103248779, ss136869816, ss153014109, ss159180230, ss159988090, ss171368385, ss173405547 NT_010194.17:38828134:A:G NC_000015.10:67745239: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.

7 citations for rs11635424
PMID Title Author Year Journal
19279021 Replication of restless legs syndrome loci in three European populations. Kemlink D et al. 2009 Journal of medical genetics
21572129 MEIS1 and BTBD9: genetic association with restless leg syndrome in end stage renal disease. Schormair B et al. 2011 Journal of medical genetics
21779176 Genome-wide association study identifies novel restless legs syndrome susceptibility loci on 2p14 and 16q12.1. Winkelmann J et al. 2011 PLoS genetics
21925394 Association studies of variants in MEIS1, BTBD9, and MAP2K5/SKOR1 with restless legs syndrome in a US population. Yang Q et al. 2011 Sleep medicine
24875634 Blood cis-eQTL analysis fails to identify novel association signals among sub-threshold candidates from genome-wide association studies in restless legs syndrome. Schulte EC et al. 2014 PloS one
27536462 Restless Legs Syndrome: Current Concepts about Disease Pathophysiology. Koo BB et al. 2016 Tremor and other hyperkinetic movements (New York, N.Y.)
29422930 Haplotype Association of the MAP2K5 Gene with Antipsychotics-Induced Symptoms of Restless Legs Syndrome among Patients with Schizophrenia. Kang SG et al. 2018 Psychiatry investigation
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