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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.

rs2853522

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr1:236897756 (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 / A>T
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.447622 (118481/264690, TOPMED)
A=0.419668 (99954/238174, ALFA)
A=0.44903 (35325/78670, PAGE_STUDY) (+ 20 more)
A=0.32634 (9221/28256, 14KJPN)
A=0.32601 (5464/16760, 8.3KJPN)
A=0.4603 (2948/6404, 1000G_30x)
A=0.4599 (2303/5008, 1000G)
A=0.3509 (1572/4480, Estonian)
A=0.3905 (1505/3854, ALSPAC)
A=0.4029 (1494/3708, TWINSUK)
A=0.3881 (1137/2930, KOREAN)
A=0.3821 (700/1832, Korea1K)
A=0.4454 (792/1778, HapMap)
A=0.397 (396/998, GoNL)
A=0.413 (324/784, PRJEB37584)
A=0.353 (212/600, NorthernSweden)
A=0.453 (242/534, MGP)
A=0.235 (107/456, SGDP_PRJ)
C=0.468 (101/216, Qatari)
C=0.486 (105/216, Vietnamese)
C=0.49 (44/90, Ancient Sardinia)
A=0.15 (8/52, Siberian)
A=0.28 (11/40, GENOME_DK)
Clinical Significance
Reported in ClinVar
Gene : Consequence
MTR : 3 Prime UTR Variant
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 243210 A=0.419781 C=0.580219, T=0.000000
European Sub 216212 A=0.415185 C=0.584815, T=0.000000
African Sub 7038 A=0.5790 C=0.4210, T=0.0000
African Others Sub 274 A=0.580 C=0.420, T=0.000
African American Sub 6764 A=0.5789 C=0.4211, T=0.0000
Asian Sub 3752 A=0.4139 C=0.5861, T=0.0000
East Asian Sub 3044 A=0.4182 C=0.5818, T=0.0000
Other Asian Sub 708 A=0.395 C=0.605, T=0.000
Latin American 1 Sub 920 A=0.512 C=0.488, T=0.000
Latin American 2 Sub 6050 A=0.3650 C=0.6350, T=0.0000
South Asian Sub 278 A=0.414 C=0.586, T=0.000
Other Sub 8960 A=0.4358 C=0.5642, T=0.0000


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=0.447622 C=0.552378
Allele Frequency Aggregator Total Global 238174 A=0.419668 C=0.580332, T=0.000000
Allele Frequency Aggregator European Sub 213118 A=0.415465 C=0.584535, T=0.000000
Allele Frequency Aggregator Other Sub 8160 A=0.4400 C=0.5600, T=0.0000
Allele Frequency Aggregator Latin American 2 Sub 6050 A=0.3650 C=0.6350, T=0.0000
Allele Frequency Aggregator African Sub 5896 A=0.5892 C=0.4108, T=0.0000
Allele Frequency Aggregator Asian Sub 3752 A=0.4139 C=0.5861, T=0.0000
Allele Frequency Aggregator Latin American 1 Sub 920 A=0.512 C=0.488, T=0.000
Allele Frequency Aggregator South Asian Sub 278 A=0.414 C=0.586, T=0.000
The PAGE Study Global Study-wide 78670 A=0.44903 C=0.55097
The PAGE Study AfricanAmerican Sub 32494 A=0.52400 C=0.47600
The PAGE Study Mexican Sub 10810 A=0.37613 C=0.62387
The PAGE Study Asian Sub 8318 A=0.3401 C=0.6599
The PAGE Study PuertoRican Sub 7918 A=0.4821 C=0.5179
The PAGE Study NativeHawaiian Sub 4534 A=0.2830 C=0.7170
The PAGE Study Cuban Sub 4230 A=0.4591 C=0.5409
The PAGE Study Dominican Sub 3824 A=0.5107 C=0.4893
The PAGE Study CentralAmerican Sub 2446 A=0.3614 C=0.6386
The PAGE Study SouthAmerican Sub 1982 A=0.3582 C=0.6418
The PAGE Study NativeAmerican Sub 1258 A=0.3784 C=0.6216
The PAGE Study SouthAsian Sub 856 A=0.395 C=0.605
14KJPN JAPANESE Study-wide 28256 A=0.32634 C=0.67366
8.3KJPN JAPANESE Study-wide 16760 A=0.32601 C=0.67399
1000Genomes_30x Global Study-wide 6404 A=0.4603 C=0.5397
1000Genomes_30x African Sub 1786 A=0.5644 C=0.4356
1000Genomes_30x Europe Sub 1266 A=0.4376 C=0.5624
1000Genomes_30x South Asian Sub 1202 A=0.3819 C=0.6181
1000Genomes_30x East Asian Sub 1170 A=0.4726 C=0.5274
1000Genomes_30x American Sub 980 A=0.382 C=0.618
1000Genomes Global Study-wide 5008 A=0.4599 C=0.5401
1000Genomes African Sub 1322 A=0.5620 C=0.4380
1000Genomes East Asian Sub 1008 A=0.4742 C=0.5258
1000Genomes Europe Sub 1006 A=0.4404 C=0.5596
1000Genomes South Asian Sub 978 A=0.378 C=0.622
1000Genomes American Sub 694 A=0.388 C=0.612
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.3509 C=0.6491
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.3905 C=0.6095
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.4029 C=0.5971
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.3881 C=0.6119, G=0.0000, T=0.0000
Korean Genome Project KOREAN Study-wide 1832 A=0.3821 C=0.6179
HapMap Global Study-wide 1778 A=0.4454 C=0.5546
HapMap African Sub 688 A=0.491 C=0.509
HapMap American Sub 668 A=0.398 C=0.602
HapMap Asian Sub 248 A=0.375 C=0.625
HapMap Europe Sub 174 A=0.546 C=0.454
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.397 C=0.603
CNV burdens in cranial meningiomas Global Study-wide 784 A=0.413 C=0.587
CNV burdens in cranial meningiomas CRM Sub 784 A=0.413 C=0.587
Northern Sweden ACPOP Study-wide 600 A=0.353 C=0.647
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 A=0.453 C=0.547
SGDP_PRJ Global Study-wide 456 A=0.235 C=0.765
Qatari Global Study-wide 216 A=0.532 C=0.468
A Vietnamese Genetic Variation Database Global Study-wide 216 A=0.514 C=0.486
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 90 A=0.51 C=0.49
Siberian Global Study-wide 52 A=0.15 C=0.85
The Danish reference pan genome Danish Study-wide 40 A=0.28 C=0.72
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.236897756A>C
GRCh38.p14 chr 1 NC_000001.11:g.236897756A>G
GRCh38.p14 chr 1 NC_000001.11:g.236897756A>T
GRCh37.p13 chr 1 NC_000001.10:g.237061056A>C
GRCh37.p13 chr 1 NC_000001.10:g.237061056A>G
GRCh37.p13 chr 1 NC_000001.10:g.237061056A>T
MTR RefSeqGene NG_008959.1:g.107476A>C
MTR RefSeqGene NG_008959.1:g.107476A>G
MTR RefSeqGene NG_008959.1:g.107476A>T
Gene: MTR, 5-methyltetrahydrofolate-homocysteine methyltransferase (plus strand)
Molecule type Change Amino acid[Codon] SO Term
MTR transcript variant 2 NM_001291939.1:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant 3 NM_001291940.2:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant 1 NM_000254.3:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X1 XM_011544194.4:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X2 XM_017001329.3:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X3 XM_005273141.6:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X4 XM_017001330.3:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X5 XM_047421182.1:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X6 XM_047421183.1:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X7 XM_047421184.1:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X7 XM_047421185.1:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X8 XM_047421186.1:c.*112= N/A 3 Prime UTR Variant
MTR transcript variant X9 XM_047421187.1:c.*112= N/A 3 Prime UTR 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.

Allele: C (allele ID: 279822 )
ClinVar Accession Disease Names Clinical Significance
RCV000369614.3 Disorders of Intracellular Cobalamin Metabolism Benign
RCV001636852.3 not provided Benign
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 T
GRCh38.p14 chr 1 NC_000001.11:g.236897756= NC_000001.11:g.236897756A>C NC_000001.11:g.236897756A>G NC_000001.11:g.236897756A>T
GRCh37.p13 chr 1 NC_000001.10:g.237061056= NC_000001.10:g.237061056A>C NC_000001.10:g.237061056A>G NC_000001.10:g.237061056A>T
MTR RefSeqGene NG_008959.1:g.107476= NG_008959.1:g.107476A>C NG_008959.1:g.107476A>G NG_008959.1:g.107476A>T
MTR transcript variant 1 NM_000254.3:c.*112= NM_000254.3:c.*112A>C NM_000254.3:c.*112A>G NM_000254.3:c.*112A>T
MTR transcript variant 1 NM_000254.2:c.*112= NM_000254.2:c.*112A>C NM_000254.2:c.*112A>G NM_000254.2:c.*112A>T
MTR transcript variant 3 NM_001291940.2:c.*112= NM_001291940.2:c.*112A>C NM_001291940.2:c.*112A>G NM_001291940.2:c.*112A>T
MTR transcript variant 3 NM_001291940.1:c.*112= NM_001291940.1:c.*112A>C NM_001291940.1:c.*112A>G NM_001291940.1:c.*112A>T
MTR transcript variant 2 NM_001291939.1:c.*112= NM_001291939.1:c.*112A>C NM_001291939.1:c.*112A>G NM_001291939.1:c.*112A>T
MTR transcript variant X3 XM_005273141.6:c.*112= XM_005273141.6:c.*112A>C XM_005273141.6:c.*112A>G XM_005273141.6:c.*112A>T
MTR transcript variant X3 XM_005273141.5:c.*112= XM_005273141.5:c.*112A>C XM_005273141.5:c.*112A>G XM_005273141.5:c.*112A>T
MTR transcript variant X3 XM_005273141.4:c.*112= XM_005273141.4:c.*112A>C XM_005273141.4:c.*112A>G XM_005273141.4:c.*112A>T
MTR transcript variant X1 XM_005273141.3:c.*112= XM_005273141.3:c.*112A>C XM_005273141.3:c.*112A>G XM_005273141.3:c.*112A>T
MTR transcript variant X2 XM_005273141.2:c.*112= XM_005273141.2:c.*112A>C XM_005273141.2:c.*112A>G XM_005273141.2:c.*112A>T
MTR transcript variant X2 XM_005273141.1:c.*112= XM_005273141.1:c.*112A>C XM_005273141.1:c.*112A>G XM_005273141.1:c.*112A>T
MTR transcript variant X1 XM_011544194.4:c.*112= XM_011544194.4:c.*112A>C XM_011544194.4:c.*112A>G XM_011544194.4:c.*112A>T
MTR transcript variant X1 XM_011544194.3:c.*112= XM_011544194.3:c.*112A>C XM_011544194.3:c.*112A>G XM_011544194.3:c.*112A>T
MTR transcript variant X1 XM_011544194.2:c.*112= XM_011544194.2:c.*112A>C XM_011544194.2:c.*112A>G XM_011544194.2:c.*112A>T
MTR transcript variant X5 XM_011544194.1:c.*112= XM_011544194.1:c.*112A>C XM_011544194.1:c.*112A>G XM_011544194.1:c.*112A>T
MTR transcript variant X2 XM_017001329.3:c.*112= XM_017001329.3:c.*112A>C XM_017001329.3:c.*112A>G XM_017001329.3:c.*112A>T
MTR transcript variant X2 XM_017001329.2:c.*112= XM_017001329.2:c.*112A>C XM_017001329.2:c.*112A>G XM_017001329.2:c.*112A>T
MTR transcript variant X2 XM_017001329.1:c.*112= XM_017001329.1:c.*112A>C XM_017001329.1:c.*112A>G XM_017001329.1:c.*112A>T
MTR transcript variant X4 XM_017001330.3:c.*112= XM_017001330.3:c.*112A>C XM_017001330.3:c.*112A>G XM_017001330.3:c.*112A>T
MTR transcript variant X4 XM_017001330.2:c.*112= XM_017001330.2:c.*112A>C XM_017001330.2:c.*112A>G XM_017001330.2:c.*112A>T
MTR transcript variant X4 XM_017001330.1:c.*112= XM_017001330.1:c.*112A>C XM_017001330.1:c.*112A>G XM_017001330.1:c.*112A>T
MTR transcript variant X5 XM_047421182.1:c.*112= XM_047421182.1:c.*112A>C XM_047421182.1:c.*112A>G XM_047421182.1:c.*112A>T
MTR transcript variant X7 XM_047421184.1:c.*112= XM_047421184.1:c.*112A>C XM_047421184.1:c.*112A>G XM_047421184.1:c.*112A>T
MTR transcript variant X7 XM_047421185.1:c.*112= XM_047421185.1:c.*112A>C XM_047421185.1:c.*112A>G XM_047421185.1:c.*112A>T
MTR transcript variant 4 NM_001410942.1:c.*112= NM_001410942.1:c.*112A>C NM_001410942.1:c.*112A>G NM_001410942.1:c.*112A>T
MTR transcript variant X8 XM_047421186.1:c.*112= XM_047421186.1:c.*112A>C XM_047421186.1:c.*112A>G XM_047421186.1:c.*112A>T
MTR transcript variant X6 XM_047421183.1:c.*112= XM_047421183.1:c.*112A>C XM_047421183.1:c.*112A>G XM_047421183.1:c.*112A>T
MTR transcript variant X9 XM_047421187.1:c.*112= XM_047421187.1:c.*112A>C XM_047421187.1:c.*112A>G XM_047421187.1:c.*112A>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#.

136 SubSNP, 25 Frequency, 2 ClinVar submissions
No Submitter Submission ID Date (Build)
1 TSC-CSHL ss2380399 Oct 08, 2002 (108)
2 SC_JCM ss4040121 Sep 28, 2001 (100)
3 YUSUKE ss4954204 Aug 28, 2002 (108)
4 TSC-CSHL ss5335783 Oct 08, 2002 (108)
5 TSC-CSHL ss5335940 Oct 08, 2002 (108)
6 CSHL-HAPMAP ss17325755 Feb 27, 2004 (120)
7 CSHL-HAPMAP ss19096916 Feb 27, 2004 (120)
8 CSHL-HAPMAP ss19830700 Feb 27, 2004 (120)
9 ABI ss43891195 Mar 14, 2006 (126)
10 ILLUMINA ss65733951 Oct 16, 2006 (127)
11 ILLUMINA ss74911984 Dec 07, 2007 (129)
12 HGSV ss80668483 Dec 16, 2007 (130)
13 BCMHGSC_JDW ss88019439 Mar 23, 2008 (129)
14 1000GENOMES ss109063207 Jan 23, 2009 (130)
15 ILLUMINA-UK ss119258160 Feb 15, 2009 (130)
16 KRIBB_YJKIM ss119448214 Dec 01, 2009 (131)
17 ENSEMBL ss138178559 Dec 01, 2009 (131)
18 ILLUMINA ss160590003 Dec 01, 2009 (131)
19 ENSEMBL ss161232502 Dec 01, 2009 (131)
20 COMPLETE_GENOMICS ss165918507 Jul 04, 2010 (132)
21 ILLUMINA ss173503631 Jul 04, 2010 (132)
22 BUSHMAN ss199794133 Jul 04, 2010 (132)
23 BCM-HGSC-SUB ss205076813 Jul 04, 2010 (132)
24 1000GENOMES ss210772522 Jul 14, 2010 (132)
25 1000GENOMES ss218959685 Jul 14, 2010 (132)
26 1000GENOMES ss230960775 Jul 14, 2010 (132)
27 1000GENOMES ss238563596 Jul 15, 2010 (132)
28 BL ss253906178 May 09, 2011 (134)
29 GMI ss276275584 May 04, 2012 (137)
30 GMI ss284253858 Apr 25, 2013 (138)
31 PJP ss290763537 May 09, 2011 (134)
32 ILLUMINA ss480694687 May 04, 2012 (137)
33 ILLUMINA ss480710255 May 04, 2012 (137)
34 ILLUMINA ss481574458 Sep 08, 2015 (146)
35 ILLUMINA ss485142187 May 04, 2012 (137)
36 ILLUMINA ss537138940 Sep 08, 2015 (146)
37 TISHKOFF ss555231465 Apr 25, 2013 (138)
38 SSMP ss648805274 Apr 25, 2013 (138)
39 ILLUMINA ss778882238 Sep 08, 2015 (146)
40 ILLUMINA ss783017377 Sep 08, 2015 (146)
41 ILLUMINA ss783977443 Sep 08, 2015 (146)
42 ILLUMINA ss832274844 Sep 08, 2015 (146)
43 ILLUMINA ss834343252 Sep 08, 2015 (146)
44 EVA-GONL ss976296037 Aug 21, 2014 (142)
45 JMKIDD_LAB ss1068716080 Aug 21, 2014 (142)
46 1000GENOMES ss1295214552 Aug 21, 2014 (142)
47 DDI ss1426155786 Apr 01, 2015 (144)
48 EVA_GENOME_DK ss1574776763 Apr 01, 2015 (144)
49 EVA_DECODE ss1585697945 Apr 01, 2015 (144)
50 EVA_UK10K_ALSPAC ss1602442638 Apr 01, 2015 (144)
51 EVA_UK10K_TWINSUK ss1645436671 Apr 01, 2015 (144)
52 EVA_MGP ss1710949234 Apr 01, 2015 (144)
53 EVA_SVP ss1712416999 Apr 01, 2015 (144)
54 ILLUMINA ss1751907285 Sep 08, 2015 (146)
55 HAMMER_LAB ss1795945053 Sep 08, 2015 (146)
56 WEILL_CORNELL_DGM ss1919517503 Feb 12, 2016 (147)
57 ILLUMINA ss1946027898 Feb 12, 2016 (147)
58 ILLUMINA ss1958370966 Feb 12, 2016 (147)
59 GENOMED ss1967009045 Jul 19, 2016 (147)
60 JJLAB ss2020285361 Sep 14, 2016 (149)
61 USC_VALOUEV ss2148322540 Nov 08, 2017 (151)
62 HUMAN_LONGEVITY ss2171248224 Dec 20, 2016 (150)
63 SYSTEMSBIOZJU ss2624655760 Nov 08, 2017 (151)
64 ILLUMINA ss2632648321 Nov 08, 2017 (151)
65 GRF ss2698325069 Nov 08, 2017 (151)
66 ILLUMINA ss2710698153 Nov 08, 2017 (151)
67 GNOMAD ss2767808867 Nov 08, 2017 (151)
68 SWEGEN ss2988685362 Nov 08, 2017 (151)
69 ILLUMINA ss3021195303 Nov 08, 2017 (151)
70 BIOINF_KMB_FNS_UNIBA ss3023904279 Nov 08, 2017 (151)
71 CSHL ss3343979993 Nov 08, 2017 (151)
72 ILLUMINA ss3625569788 Oct 11, 2018 (152)
73 ILLUMINA ss3626342558 Oct 11, 2018 (152)
74 ILLUMINA ss3630677226 Oct 11, 2018 (152)
75 ILLUMINA ss3632930963 Oct 11, 2018 (152)
76 ILLUMINA ss3633627279 Oct 11, 2018 (152)
77 ILLUMINA ss3634380732 Oct 11, 2018 (152)
78 ILLUMINA ss3635320254 Oct 11, 2018 (152)
79 ILLUMINA ss3636059670 Oct 11, 2018 (152)
80 ILLUMINA ss3637070808 Oct 11, 2018 (152)
81 ILLUMINA ss3637822796 Oct 11, 2018 (152)
82 ILLUMINA ss3640088085 Oct 11, 2018 (152)
83 ILLUMINA ss3642828386 Oct 11, 2018 (152)
84 ILLUMINA ss3644523901 Oct 11, 2018 (152)
85 OMUKHERJEE_ADBS ss3646255926 Oct 11, 2018 (152)
86 ILLUMINA ss3651541237 Oct 11, 2018 (152)
87 EGCUT_WGS ss3656644234 Jul 12, 2019 (153)
88 EVA_DECODE ss3688911406 Jul 12, 2019 (153)
89 ILLUMINA ss3725119168 Jul 12, 2019 (153)
90 ACPOP ss3727988221 Jul 12, 2019 (153)
91 ILLUMINA ss3744063052 Jul 12, 2019 (153)
92 ILLUMINA ss3744681639 Jul 12, 2019 (153)
93 EVA ss3747514559 Jul 12, 2019 (153)
94 PAGE_CC ss3770882730 Jul 12, 2019 (153)
95 ILLUMINA ss3772182413 Jul 12, 2019 (153)
96 PACBIO ss3783727258 Jul 12, 2019 (153)
97 PACBIO ss3789333176 Jul 12, 2019 (153)
98 PACBIO ss3794205601 Jul 12, 2019 (153)
99 KHV_HUMAN_GENOMES ss3800516902 Jul 12, 2019 (153)
100 EVA ss3825591940 Apr 25, 2020 (154)
101 EVA ss3826719924 Apr 25, 2020 (154)
102 EVA ss3836762489 Apr 25, 2020 (154)
103 EVA ss3842175249 Apr 25, 2020 (154)
104 SGDP_PRJ ss3851194522 Apr 25, 2020 (154)
105 KRGDB ss3896551303 Apr 25, 2020 (154)
106 KOGIC ss3946786896 Apr 25, 2020 (154)
107 FSA-LAB ss3983968583 Apr 25, 2021 (155)
108 FSA-LAB ss3983968584 Apr 25, 2021 (155)
109 EVA ss3984474507 Apr 25, 2021 (155)
110 EVA ss3984861513 Apr 25, 2021 (155)
111 EVA ss3986016202 Apr 25, 2021 (155)
112 EVA ss3986165602 Apr 25, 2021 (155)
113 TOPMED ss4488472544 Apr 25, 2021 (155)
114 TOMMO_GENOMICS ss5149081217 Apr 25, 2021 (155)
115 EVA ss5237167247 Apr 25, 2021 (155)
116 1000G_HIGH_COVERAGE ss5246291089 Oct 17, 2022 (156)
117 EVA ss5314694251 Oct 17, 2022 (156)
118 EVA ss5325690597 Oct 17, 2022 (156)
119 HUGCELL_USP ss5446679042 Oct 17, 2022 (156)
120 EVA ss5506239090 Oct 17, 2022 (156)
121 1000G_HIGH_COVERAGE ss5520631157 Oct 17, 2022 (156)
122 EVA ss5624004930 Oct 17, 2022 (156)
123 SANFORD_IMAGENETICS ss5627728379 Oct 17, 2022 (156)
124 TOMMO_GENOMICS ss5677031194 Oct 17, 2022 (156)
125 EVA ss5799516334 Oct 17, 2022 (156)
126 EVA ss5800047962 Oct 17, 2022 (156)
127 EVA ss5800091414 Oct 17, 2022 (156)
128 YY_MCH ss5801766776 Oct 17, 2022 (156)
129 EVA ss5833463665 Oct 17, 2022 (156)
130 EVA ss5847579953 Oct 17, 2022 (156)
131 EVA ss5848289845 Oct 17, 2022 (156)
132 EVA ss5849350598 Oct 17, 2022 (156)
133 EVA ss5912543809 Oct 17, 2022 (156)
134 EVA ss5939579586 Oct 17, 2022 (156)
135 EVA ss5980024726 Oct 17, 2022 (156)
136 EVA ss5981202027 Oct 17, 2022 (156)
137 1000Genomes NC_000001.10 - 237061056 Oct 11, 2018 (152)
138 1000Genomes_30x NC_000001.11 - 236897756 Oct 17, 2022 (156)
139 The Avon Longitudinal Study of Parents and Children NC_000001.10 - 237061056 Oct 11, 2018 (152)
140 Genetic variation in the Estonian population NC_000001.10 - 237061056 Oct 11, 2018 (152)
141 The Danish reference pan genome NC_000001.10 - 237061056 Apr 25, 2020 (154)
142 gnomAD - Genomes

Submission ignored due to conflicting rows:
Row 43629093 (NC_000001.11:236897755:A:C 78104/139704)
Row 43629094 (NC_000001.11:236897755:A:T 2/139802)

- Apr 25, 2021 (155)
143 gnomAD - Genomes

Submission ignored due to conflicting rows:
Row 43629093 (NC_000001.11:236897755:A:C 78104/139704)
Row 43629094 (NC_000001.11:236897755:A:T 2/139802)

- Apr 25, 2021 (155)
144 Genome of the Netherlands Release 5 NC_000001.10 - 237061056 Apr 25, 2020 (154)
145 HapMap NC_000001.11 - 236897756 Apr 25, 2020 (154)
146 KOREAN population from KRGDB NC_000001.10 - 237061056 Apr 25, 2020 (154)
147 Korean Genome Project NC_000001.11 - 236897756 Apr 25, 2020 (154)
148 Medical Genome Project healthy controls from Spanish population NC_000001.10 - 237061056 Apr 25, 2020 (154)
149 Northern Sweden NC_000001.10 - 237061056 Jul 12, 2019 (153)
150 The PAGE Study NC_000001.11 - 236897756 Jul 12, 2019 (153)
151 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000001.10 - 237061056 Apr 25, 2021 (155)
152 CNV burdens in cranial meningiomas NC_000001.10 - 237061056 Apr 25, 2021 (155)
153 Qatari NC_000001.10 - 237061056 Apr 25, 2020 (154)
154 SGDP_PRJ NC_000001.10 - 237061056 Apr 25, 2020 (154)
155 Siberian NC_000001.10 - 237061056 Apr 25, 2020 (154)
156 8.3KJPN NC_000001.10 - 237061056 Apr 25, 2021 (155)
157 14KJPN NC_000001.11 - 236897756 Oct 17, 2022 (156)
158 TopMed NC_000001.11 - 236897756 Apr 25, 2021 (155)
159 UK 10K study - Twins NC_000001.10 - 237061056 Oct 11, 2018 (152)
160 A Vietnamese Genetic Variation Database NC_000001.10 - 237061056 Jul 12, 2019 (153)
161 ALFA NC_000001.11 - 236897756 Apr 25, 2021 (155)
162 ClinVar RCV000369614.3 Oct 17, 2022 (156)
163 ClinVar RCV001636852.3 Oct 17, 2022 (156)
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)
rs3768158 Oct 09, 2002 (108)
rs61306304 May 26, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss80668483 NC_000001.8:233387096:A:C NC_000001.11:236897755:A:C (self)
ss88019439, ss109063207, ss119258160, ss165918507, ss199794133, ss205076813, ss210772522, ss253906178, ss276275584, ss284253858, ss290763537, ss480694687, ss1585697945, ss1712416999, ss3642828386 NC_000001.9:235127678:A:C NC_000001.11:236897755:A:C (self)
6089941, 3372130, 2382482, 1945843, 1475060, 3728697, 65986, 1273086, 87440, 23830, 1559433, 3211502, 838894, 7050524, 3372130, 733920, ss218959685, ss230960775, ss238563596, ss480710255, ss481574458, ss485142187, ss537138940, ss555231465, ss648805274, ss778882238, ss783017377, ss783977443, ss832274844, ss834343252, ss976296037, ss1068716080, ss1295214552, ss1426155786, ss1574776763, ss1602442638, ss1645436671, ss1710949234, ss1751907285, ss1795945053, ss1919517503, ss1946027898, ss1958370966, ss1967009045, ss2020285361, ss2148322540, ss2624655760, ss2632648321, ss2698325069, ss2710698153, ss2767808867, ss2988685362, ss3021195303, ss3343979993, ss3625569788, ss3626342558, ss3630677226, ss3632930963, ss3633627279, ss3634380732, ss3635320254, ss3636059670, ss3637070808, ss3637822796, ss3640088085, ss3644523901, ss3646255926, ss3651541237, ss3656644234, ss3727988221, ss3744063052, ss3744681639, ss3747514559, ss3772182413, ss3783727258, ss3789333176, ss3794205601, ss3825591940, ss3826719924, ss3836762489, ss3851194522, ss3896551303, ss3983968583, ss3983968584, ss3984474507, ss3984861513, ss3986016202, ss3986165602, ss5149081217, ss5314694251, ss5325690597, ss5506239090, ss5624004930, ss5627728379, ss5799516334, ss5800047962, ss5800091414, ss5833463665, ss5847579953, ss5848289845, ss5939579586, ss5980024726, ss5981202027 NC_000001.10:237061055:A:C NC_000001.11:236897755:A:C (self)
RCV000369614.3, RCV001636852.3, 8157092, 298152, 3164897, 104199, 10868298, 52078879, 13908480692, ss2171248224, ss3023904279, ss3688911406, ss3725119168, ss3770882730, ss3800516902, ss3842175249, ss3946786896, ss4488472544, ss5237167247, ss5246291089, ss5446679042, ss5520631157, ss5677031194, ss5801766776, ss5849350598, ss5912543809 NC_000001.11:236897755:A:C NC_000001.11:236897755:A:C (self)
ss17325755, ss19096916, ss19830700 NT_004836.15:1818844:A:C NC_000001.11:236897755:A:C (self)
ss2380399, ss4040121, ss4954204, ss5335783, ss5335940, ss43891195, ss65733951, ss74911984, ss119448214, ss138178559, ss160590003, ss161232502, ss173503631 NT_167186.1:30578834:A:C NC_000001.11:236897755:A:C (self)
3728697, ss3896551303 NC_000001.10:237061055:A:G NC_000001.11:236897755:A:G (self)
3728697, ss2767808867, ss3896551303 NC_000001.10:237061055:A:T NC_000001.11:236897755:A:T (self)
13908480692 NC_000001.11:236897755:A:T NC_000001.11:236897755:A:T (self)
Help

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

1 citation for rs2853522
PMID Title Author Year Journal
22856873 Evaluation of common genetic variants in 82 candidate genes as risk factors for neural tube defects. Pangilinan F et al. 2012 BMC medical genetics
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