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.
rs653178
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr12:111569952 (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>G / C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
C=0.310529 (82194/264690, TOPMED)C=0.449215 (112001/249326, ALFA)C=0.333429 (46688/140024, GnomAD) (+ 22 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- ATXN2 : Intron Variant
- Publications
- 59 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.
Population | Group | Sample Size | Ref Allele | Alt Allele | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
---|---|---|---|---|---|---|---|---|
Total | Global | 253280 | C=0.450036 | T=0.549964 | 0.220602 | 0.320531 | 0.458868 | 32 |
European | Sub | 216676 | C=0.496866 | T=0.503134 | 0.247429 | 0.253697 | 0.498874 | 0 |
African | Sub | 9230 | C=0.0811 | T=0.9189 | 0.008884 | 0.846587 | 0.144529 | 3 |
African Others | Sub | 320 | C=0.003 | T=0.997 | 0.0 | 0.99375 | 0.00625 | 0 |
African American | Sub | 8910 | C=0.0840 | T=0.9160 | 0.009203 | 0.841302 | 0.149495 | 2 |
Asian | Sub | 6464 | C=0.0009 | T=0.9991 | 0.0 | 0.998144 | 0.001856 | 0 |
East Asian | Sub | 4600 | C=0.0004 | T=0.9996 | 0.0 | 0.99913 | 0.00087 | 0 |
Other Asian | Sub | 1864 | C=0.0021 | T=0.9979 | 0.0 | 0.995708 | 0.004292 | 0 |
Latin American 1 | Sub | 658 | C=0.336 | T=0.664 | 0.12766 | 0.455927 | 0.416413 | 1 |
Latin American 2 | Sub | 2888 | C=0.2625 | T=0.7375 | 0.070637 | 0.545706 | 0.383657 | 0 |
South Asian | Sub | 5152 | C=0.1217 | T=0.8783 | 0.018634 | 0.775233 | 0.206134 | 2 |
Other | Sub | 12212 | C=0.32468 | T=0.67532 | 0.147068 | 0.497707 | 0.355224 | 32 |
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").
DownloadStudy | Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|---|
TopMed | Global | Study-wide | 264690 | C=0.310529 | T=0.689471 |
Allele Frequency Aggregator | Total | Global | 249326 | C=0.449215 | T=0.550785 |
Allele Frequency Aggregator | European | Sub | 212968 | C=0.496741 | T=0.503259 |
Allele Frequency Aggregator | Other | Sub | 11968 | C=0.32169 | T=0.67831 |
Allele Frequency Aggregator | African | Sub | 9228 | C=0.0812 | T=0.9188 |
Allele Frequency Aggregator | Asian | Sub | 6464 | C=0.0009 | T=0.9991 |
Allele Frequency Aggregator | South Asian | Sub | 5152 | C=0.1217 | T=0.8783 |
Allele Frequency Aggregator | Latin American 2 | Sub | 2888 | C=0.2625 | T=0.7375 |
Allele Frequency Aggregator | Latin American 1 | Sub | 658 | C=0.336 | T=0.664 |
gnomAD - Genomes | Global | Study-wide | 140024 | C=0.333429 | T=0.666571 |
gnomAD - Genomes | European | Sub | 75820 | C=0.47607 | T=0.52393 |
gnomAD - Genomes | African | Sub | 41984 | C=0.08553 | T=0.91447 |
gnomAD - Genomes | American | Sub | 13620 | C=0.29501 | T=0.70499 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | C=0.6707 | T=0.3293 |
gnomAD - Genomes | East Asian | Sub | 3128 | C=0.0006 | T=0.9994 |
gnomAD - Genomes | Other | Sub | 2150 | C=0.3502 | T=0.6498 |
The PAGE Study | Global | Study-wide | 78702 | C=0.16115 | T=0.83885 |
The PAGE Study | AfricanAmerican | Sub | 32516 | C=0.09346 | T=0.90654 |
The PAGE Study | Mexican | Sub | 10810 | C=0.24015 | T=0.75985 |
The PAGE Study | Asian | Sub | 8318 | C=0.0030 | T=0.9970 |
The PAGE Study | PuertoRican | Sub | 7918 | C=0.3133 | T=0.6867 |
The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.1251 | T=0.8749 |
The PAGE Study | Cuban | Sub | 4230 | C=0.3638 | T=0.6362 |
The PAGE Study | Dominican | Sub | 3828 | C=0.2497 | T=0.7503 |
The PAGE Study | CentralAmerican | Sub | 2450 | C=0.2008 | T=0.7992 |
The PAGE Study | SouthAmerican | Sub | 1982 | C=0.2417 | T=0.7583 |
The PAGE Study | NativeAmerican | Sub | 1260 | C=0.3468 | T=0.6532 |
The PAGE Study | SouthAsian | Sub | 856 | C=0.084 | T=0.916 |
14KJPN | JAPANESE | Study-wide | 28258 | C=0.00004 | T=0.99996 |
8.3KJPN | JAPANESE | Study-wide | 16760 | C=0.00000 | T=1.00000 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.1483 | T=0.8517 |
1000Genomes_30x | African | Sub | 1786 | C=0.0174 | T=0.9826 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.4613 | T=0.5387 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.0616 | T=0.9384 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.0034 | T=0.9966 |
1000Genomes_30x | American | Sub | 980 | C=0.262 | T=0.738 |
1000Genomes | Global | Study-wide | 5008 | C=0.1474 | T=0.8526 |
1000Genomes | African | Sub | 1322 | C=0.0189 | T=0.9811 |
1000Genomes | East Asian | Sub | 1008 | C=0.0030 | T=0.9970 |
1000Genomes | Europe | Sub | 1006 | C=0.4662 | T=0.5338 |
1000Genomes | South Asian | Sub | 978 | C=0.067 | T=0.933 |
1000Genomes | American | Sub | 694 | C=0.252 | T=0.748 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.4462 | T=0.5538 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.4510 | T=0.5490 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.4873 | T=0.5127 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.0003 | G=0.0000, T=0.9997 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | C=0.1684 | T=0.8316 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | C=0.015 | T=0.985 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | C=0.159 | T=0.841 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | C=0.374 | T=0.626 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | C=0.438 | T=0.562 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | C=0.008 | T=0.992 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | C=0.023 | T=0.977 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | C=0.00 | T=1.00 |
Korean Genome Project | KOREAN | Study-wide | 1832 | C=0.0000 | T=1.0000 |
Genome-wide autozygosity in Daghestan | Global | Study-wide | 1134 | C=0.3104 | T=0.6896 |
Genome-wide autozygosity in Daghestan | Daghestan | Sub | 626 | C=0.334 | T=0.666 |
Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | C=0.285 | T=0.715 |
Genome-wide autozygosity in Daghestan | Central Asia | Sub | 122 | C=0.213 | T=0.787 |
Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | C=0.481 | T=0.519 |
Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | C=0.05 | T=0.95 |
Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | C=0.53 | T=0.47 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.466 | T=0.534 |
HapMap | Global | Study-wide | 984 | C=0.254 | T=0.746 |
HapMap | American | Sub | 600 | C=0.260 | T=0.740 |
HapMap | Europe | Sub | 176 | C=0.534 | T=0.466 |
HapMap | African | Sub | 120 | C=0.000 | T=1.000 |
HapMap | Asian | Sub | 88 | C=0.00 | T=1.00 |
CNV burdens in cranial meningiomas | Global | Study-wide | 792 | C=0.003 | T=0.997 |
CNV burdens in cranial meningiomas | CRM | Sub | 792 | C=0.003 | T=0.997 |
Northern Sweden | ACPOP | Study-wide | 600 | C=0.435 | T=0.565 |
SGDP_PRJ | Global | Study-wide | 526 | C=0.091 | T=0.909 |
Qatari | Global | Study-wide | 216 | C=0.190 | T=0.810 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 216 | C=0.000 | T=1.000 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 70 | C=0.40 | T=0.60 |
Siberian | Global | Study-wide | 54 | C=0.13 | T=0.87 |
The Danish reference pan genome | Danish | Study-wide | 40 | C=0.45 | T=0.55 |
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.
Sequence name | Change |
---|---|
GRCh38.p14 chr 12 | NC_000012.12:g.111569952C>G |
GRCh38.p14 chr 12 | NC_000012.12:g.111569952C>T |
GRCh37.p13 chr 12 | NC_000012.11:g.112007756C>G |
GRCh37.p13 chr 12 | NC_000012.11:g.112007756C>T |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.34725G>C |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.34725G>A |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
ATXN2 transcript variant 2 |
NM_001310121.1:c.-64-1403… NM_001310121.1:c.-64-14033G>C |
N/A | Intron Variant |
ATXN2 transcript variant 3 |
NM_001310123.1:c.-27-1573… NM_001310123.1:c.-27-15735G>C |
N/A | Intron Variant |
ATXN2 transcript variant 5 |
NM_001372574.1:c.252-1403… NM_001372574.1:c.252-14033G>C |
N/A | Intron Variant |
ATXN2 transcript variant 1 | NM_002973.4:c.252-14033G>C | N/A | Intron Variant |
ATXN2 transcript variant 4 | NR_132311.2:n. | N/A | Intron Variant |
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.
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= | G | T |
---|---|---|---|
GRCh38.p14 chr 12 | NC_000012.12:g.111569952= | NC_000012.12:g.111569952C>G | NC_000012.12:g.111569952C>T |
GRCh37.p13 chr 12 | NC_000012.11:g.112007756= | NC_000012.11:g.112007756C>G | NC_000012.11:g.112007756C>T |
ATXN2 RefSeqGene (LRG_864) | NG_011572.3:g.34725= | NG_011572.3:g.34725G>C | NG_011572.3:g.34725G>A |
ATXN2 transcript variant 2 | NM_001310121.1:c.-64-14033= | NM_001310121.1:c.-64-14033G>C | NM_001310121.1:c.-64-14033G>A |
ATXN2 transcript variant 3 | NM_001310123.1:c.-27-15735= | NM_001310123.1:c.-27-15735G>C | NM_001310123.1:c.-27-15735G>A |
ATXN2 transcript variant 5 | NM_001372574.1:c.252-14033= | NM_001372574.1:c.252-14033G>C | NM_001372574.1:c.252-14033G>A |
ATXN2 transcript variant 1 | NM_002973.3:c.732-14033= | NM_002973.3:c.732-14033G>C | NM_002973.3:c.732-14033G>A |
ATXN2 transcript variant 1 | NM_002973.4:c.252-14033= | NM_002973.4:c.252-14033G>C | NM_002973.4:c.252-14033G>A |
ATXN2 transcript variant X1 | XM_005253924.1:c.252-14033= | XM_005253924.1:c.252-14033G>C | XM_005253924.1:c.252-14033G>A |
ATXN2 transcript variant X2 | XM_005253925.1:c.-64-14033= | XM_005253925.1:c.-64-14033G>C | XM_005253925.1:c.-64-14033G>A |
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#.
No | Submitter | Submission ID | Date (Build) |
---|---|---|---|
1 | SC_JCM | ss826183 | Aug 11, 2000 (83) |
2 | KWOK | ss1211981 | Oct 04, 2000 (86) |
3 | KWOK | ss1953473 | Oct 18, 2000 (87) |
4 | WI_SSAHASNP | ss6574927 | Feb 20, 2003 (111) |
5 | SC_SNP | ss15655495 | Feb 27, 2004 (120) |
6 | CSHL-HAPMAP | ss16579296 | Feb 27, 2004 (120) |
7 | CSHL-HAPMAP | ss19942562 | Feb 27, 2004 (120) |
8 | SSAHASNP | ss20961396 | Apr 05, 2004 (121) |
9 | ABI | ss38970233 | Mar 14, 2006 (126) |
10 | ILLUMINA | ss66655334 | Nov 30, 2006 (127) |
11 | ILLUMINA | ss67467468 | Nov 30, 2006 (127) |
12 | ILLUMINA | ss67821935 | Nov 30, 2006 (127) |
13 | ILLUMINA | ss70870870 | May 26, 2008 (130) |
14 | ILLUMINA | ss71459717 | May 17, 2007 (127) |
15 | ILLUMINA | ss75534472 | Dec 06, 2007 (129) |
16 | AFFY | ss76431387 | Dec 06, 2007 (129) |
17 | ILLUMINA | ss79224449 | Dec 15, 2007 (130) |
18 | KRIBB_YJKIM | ss83508612 | Dec 15, 2007 (130) |
19 | HGSV | ss83905028 | Dec 15, 2007 (130) |
20 | HGSV | ss85815351 | Dec 15, 2007 (130) |
21 | BCMHGSC_JDW | ss89389346 | Mar 24, 2008 (129) |
22 | HUMANGENOME_JCVI | ss97341413 | Feb 06, 2009 (130) |
23 | BGI | ss105122313 | Dec 01, 2009 (131) |
24 | 1000GENOMES | ss112444205 | Jan 25, 2009 (130) |
25 | 1000GENOMES | ss114108802 | Jan 25, 2009 (130) |
26 | ILLUMINA-UK | ss119715668 | Dec 01, 2009 (131) |
27 | ILLUMINA | ss122562110 | Dec 01, 2009 (131) |
28 | ENSEMBL | ss132063172 | Dec 01, 2009 (131) |
29 | ENSEMBL | ss133363687 | Dec 01, 2009 (131) |
30 | ILLUMINA | ss154366100 | Dec 01, 2009 (131) |
31 | GMI | ss157912984 | Dec 01, 2009 (131) |
32 | ILLUMINA | ss159542266 | Dec 01, 2009 (131) |
33 | COMPLETE_GENOMICS | ss168718686 | Jul 04, 2010 (132) |
34 | COMPLETE_GENOMICS | ss170883629 | Jul 04, 2010 (132) |
35 | ILLUMINA | ss172142905 | Jul 04, 2010 (132) |
36 | ILLUMINA | ss174026544 | Jul 04, 2010 (132) |
37 | COMPLETE_GENOMICS | ss175268139 | Jul 04, 2010 (132) |
38 | BUSHMAN | ss198695704 | Jul 04, 2010 (132) |
39 | BCM-HGSC-SUB | ss208165544 | Jul 04, 2010 (132) |
40 | 1000GENOMES | ss225963561 | Jul 14, 2010 (132) |
41 | 1000GENOMES | ss236090116 | Jul 15, 2010 (132) |
42 | 1000GENOMES | ss242616883 | Jul 15, 2010 (132) |
43 | BL | ss255347310 | May 09, 2011 (134) |
44 | GMI | ss281548986 | May 04, 2012 (137) |
45 | GMI | ss286627480 | Apr 25, 2013 (138) |
46 | PJP | ss291341204 | May 09, 2011 (134) |
47 | ILLUMINA | ss410941605 | Sep 17, 2011 (135) |
48 | PAGE_STUDY | ss469415397 | May 04, 2012 (137) |
49 | PAGE_STUDY | ss469996517 | May 04, 2012 (137) |
50 | EXOME_CHIP | ss491473787 | May 04, 2012 (137) |
51 | ILLUMINA | ss537360668 | Sep 08, 2015 (146) |
52 | TISHKOFF | ss563407573 | Apr 25, 2013 (138) |
53 | SSMP | ss658990457 | Apr 25, 2013 (138) |
54 | ILLUMINA | ss780685886 | Aug 21, 2014 (142) |
55 | ILLUMINA | ss783359390 | Aug 21, 2014 (142) |
56 | ILLUMINA | ss825554967 | Jul 19, 2016 (147) |
57 | ILLUMINA | ss833053469 | Aug 21, 2014 (142) |
58 | ILLUMINA | ss833644297 | Aug 21, 2014 (142) |
59 | EVA-GONL | ss989963907 | Aug 21, 2014 (142) |
60 | JMKIDD_LAB | ss1078773745 | Aug 21, 2014 (142) |
61 | 1000GENOMES | ss1346655911 | Aug 21, 2014 (142) |
62 | HAMMER_LAB | ss1397645697 | Sep 08, 2015 (146) |
63 | DDI | ss1427055400 | Apr 01, 2015 (144) |
64 | EVA_GENOME_DK | ss1576528086 | Apr 01, 2015 (144) |
65 | EVA_UK10K_ALSPAC | ss1629455778 | Apr 01, 2015 (144) |
66 | EVA_DECODE | ss1642069603 | Apr 01, 2015 (144) |
67 | EVA_UK10K_TWINSUK | ss1672449811 | Apr 01, 2015 (144) |
68 | EVA_SVP | ss1713358401 | Apr 01, 2015 (144) |
69 | ILLUMINA | ss1752046618 | Sep 08, 2015 (146) |
70 | HAMMER_LAB | ss1807421928 | Sep 08, 2015 (146) |
71 | ILLUMINA | ss1917878905 | Feb 12, 2016 (147) |
72 | WEILL_CORNELL_DGM | ss1933317261 | Feb 12, 2016 (147) |
73 | ILLUMINA | ss1946349972 | Feb 12, 2016 (147) |
74 | ILLUMINA | ss1959466523 | Feb 12, 2016 (147) |
75 | GENOMED | ss1967682872 | Jul 19, 2016 (147) |
76 | JJLAB | ss2027415922 | Sep 14, 2016 (149) |
77 | ILLUMINA | ss2094876806 | Dec 20, 2016 (150) |
78 | ILLUMINA | ss2095039468 | Dec 20, 2016 (150) |
79 | ILLUMINA | ss2095039469 | Dec 20, 2016 (150) |
80 | USC_VALOUEV | ss2155765026 | Dec 20, 2016 (150) |
81 | HUMAN_LONGEVITY | ss2193225411 | Dec 20, 2016 (150) |
82 | SYSTEMSBIOZJU | ss2628189173 | Nov 08, 2017 (151) |
83 | ILLUMINA | ss2633009175 | Nov 08, 2017 (151) |
84 | ILLUMINA | ss2633009176 | Nov 08, 2017 (151) |
85 | GRF | ss2700122696 | Nov 08, 2017 (151) |
86 | ILLUMINA | ss2710770880 | Nov 08, 2017 (151) |
87 | GNOMAD | ss2915228403 | Nov 08, 2017 (151) |
88 | AFFY | ss2984991183 | Nov 08, 2017 (151) |
89 | AFFY | ss2985627211 | Nov 08, 2017 (151) |
90 | SWEGEN | ss3010355272 | Nov 08, 2017 (151) |
91 | ILLUMINA | ss3021466749 | Nov 08, 2017 (151) |
92 | BIOINF_KMB_FNS_UNIBA | ss3027517951 | Nov 08, 2017 (151) |
93 | CSHL | ss3350251528 | Nov 08, 2017 (151) |
94 | ILLUMINA | ss3626969976 | Oct 12, 2018 (152) |
95 | ILLUMINA | ss3626969977 | Oct 12, 2018 (152) |
96 | ILLUMINA | ss3634523955 | Oct 12, 2018 (152) |
97 | ILLUMINA | ss3637987194 | Oct 12, 2018 (152) |
98 | ILLUMINA | ss3639006561 | Oct 12, 2018 (152) |
99 | ILLUMINA | ss3639506182 | Oct 12, 2018 (152) |
100 | ILLUMINA | ss3640231288 | Oct 12, 2018 (152) |
101 | ILLUMINA | ss3642978780 | Oct 12, 2018 (152) |
102 | ILLUMINA | ss3644602979 | Oct 12, 2018 (152) |
103 | URBANLAB | ss3649923323 | Oct 12, 2018 (152) |
104 | ILLUMINA | ss3651848940 | Oct 12, 2018 (152) |
105 | ILLUMINA | ss3651848941 | Oct 12, 2018 (152) |
106 | ILLUMINA | ss3651848942 | Oct 12, 2018 (152) |
107 | ILLUMINA | ss3653761077 | Oct 12, 2018 (152) |
108 | EGCUT_WGS | ss3677655817 | Jul 13, 2019 (153) |
109 | EVA_DECODE | ss3694474563 | Jul 13, 2019 (153) |
110 | ILLUMINA | ss3725357843 | Jul 13, 2019 (153) |
111 | ACPOP | ss3739385981 | Jul 13, 2019 (153) |
112 | ILLUMINA | ss3744401112 | Jul 13, 2019 (153) |
113 | ILLUMINA | ss3744824770 | Jul 13, 2019 (153) |
114 | EVA | ss3750970541 | Jul 13, 2019 (153) |
115 | PAGE_CC | ss3771717679 | Jul 13, 2019 (153) |
116 | ILLUMINA | ss3772323973 | Jul 13, 2019 (153) |
117 | PACBIO | ss3787336982 | Jul 13, 2019 (153) |
118 | PACBIO | ss3792419219 | Jul 13, 2019 (153) |
119 | PACBIO | ss3797302305 | Jul 13, 2019 (153) |
120 | KHV_HUMAN_GENOMES | ss3816302718 | Jul 13, 2019 (153) |
121 | EVA | ss3833328425 | Apr 27, 2020 (154) |
122 | EVA | ss3840236365 | Apr 27, 2020 (154) |
123 | EVA | ss3845724999 | Apr 27, 2020 (154) |
124 | HGDP | ss3847464290 | Apr 27, 2020 (154) |
125 | SGDP_PRJ | ss3879121577 | Apr 27, 2020 (154) |
126 | KRGDB | ss3927864444 | Apr 27, 2020 (154) |
127 | KOGIC | ss3972735892 | Apr 27, 2020 (154) |
128 | EVA | ss3984673297 | Apr 26, 2021 (155) |
129 | EVA | ss3985615156 | Apr 26, 2021 (155) |
130 | EVA | ss4017610911 | Apr 26, 2021 (155) |
131 | TOPMED | ss4932925058 | Apr 26, 2021 (155) |
132 | TOMMO_GENOMICS | ss5208183512 | Apr 26, 2021 (155) |
133 | 1000G_HIGH_COVERAGE | ss5292248338 | Oct 16, 2022 (156) |
134 | EVA | ss5315649556 | Oct 16, 2022 (156) |
135 | EVA | ss5408254746 | Oct 16, 2022 (156) |
136 | HUGCELL_USP | ss5486850560 | Oct 16, 2022 (156) |
137 | EVA | ss5510845587 | Oct 16, 2022 (156) |
138 | 1000G_HIGH_COVERAGE | ss5590482183 | Oct 16, 2022 (156) |
139 | SANFORD_IMAGENETICS | ss5624312327 | Oct 16, 2022 (156) |
140 | SANFORD_IMAGENETICS | ss5653965241 | Oct 16, 2022 (156) |
141 | TOMMO_GENOMICS | ss5758512527 | Oct 16, 2022 (156) |
142 | YY_MCH | ss5813649107 | Oct 16, 2022 (156) |
143 | EVA | ss5838520140 | Oct 16, 2022 (156) |
144 | EVA | ss5847415930 | Oct 16, 2022 (156) |
145 | EVA | ss5850548686 | Oct 16, 2022 (156) |
146 | EVA | ss5906039556 | Oct 16, 2022 (156) |
147 | EVA | ss5945372540 | Oct 16, 2022 (156) |
148 | EVA | ss5979404185 | Oct 16, 2022 (156) |
149 | 1000Genomes | NC_000012.11 - 112007756 | Oct 12, 2018 (152) |
150 | 1000Genomes_30x | NC_000012.12 - 111569952 | Oct 16, 2022 (156) |
151 | The Avon Longitudinal Study of Parents and Children | NC_000012.11 - 112007756 | Oct 12, 2018 (152) |
152 | Genome-wide autozygosity in Daghestan | NC_000012.10 - 110492139 | Apr 27, 2020 (154) |
153 | Genetic variation in the Estonian population | NC_000012.11 - 112007756 | Oct 12, 2018 (152) |
154 | The Danish reference pan genome | NC_000012.11 - 112007756 | Apr 27, 2020 (154) |
155 | gnomAD - Genomes | NC_000012.12 - 111569952 | Apr 26, 2021 (155) |
156 | Genome of the Netherlands Release 5 | NC_000012.11 - 112007756 | Apr 27, 2020 (154) |
157 | HGDP-CEPH-db Supplement 1 | NC_000012.10 - 110492139 | Apr 27, 2020 (154) |
158 | HapMap | NC_000012.12 - 111569952 | Apr 27, 2020 (154) |
159 | KOREAN population from KRGDB | NC_000012.11 - 112007756 | Apr 27, 2020 (154) |
160 | Korean Genome Project | NC_000012.12 - 111569952 | Apr 27, 2020 (154) |
161 | Northern Sweden | NC_000012.11 - 112007756 | Jul 13, 2019 (153) |
162 | The PAGE Study | NC_000012.12 - 111569952 | Jul 13, 2019 (153) |
163 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000012.11 - 112007756 | Apr 26, 2021 (155) |
164 | CNV burdens in cranial meningiomas | NC_000012.11 - 112007756 | Apr 26, 2021 (155) |
165 | Qatari | NC_000012.11 - 112007756 | Apr 27, 2020 (154) |
166 | SGDP_PRJ | NC_000012.11 - 112007756 | Apr 27, 2020 (154) |
167 | Siberian | NC_000012.11 - 112007756 | Apr 27, 2020 (154) |
168 | 8.3KJPN | NC_000012.11 - 112007756 | Apr 26, 2021 (155) |
169 | 14KJPN | NC_000012.12 - 111569952 | Oct 16, 2022 (156) |
170 | TopMed | NC_000012.12 - 111569952 | Apr 26, 2021 (155) |
171 | UK 10K study - Twins | NC_000012.11 - 112007756 | Oct 12, 2018 (152) |
172 | A Vietnamese Genetic Variation Database | NC_000012.11 - 112007756 | Jul 13, 2019 (153) |
173 | ALFA | NC_000012.12 - 111569952 | Apr 26, 2021 (155) |
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) |
---|---|
rs60407737 | May 26, 2008 (130) |
rs386603326 | Aug 21, 2014 (142) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
35041838, ss3927864444 | NC_000012.11:112007755:C:G | NC_000012.12:111569951:C:G | (self) |
ss83905028, ss85815351, ss3639006561, ss3639506182 | NC_000012.9:110470475:C:T | NC_000012.12:111569951:C:T | (self) |
116447, 142182, ss89389346, ss112444205, ss114108802, ss119715668, ss168718686, ss170883629, ss175268139, ss198695704, ss208165544, ss255347310, ss281548986, ss286627480, ss291341204, ss410941605, ss825554967, ss1397645697, ss1642069603, ss1713358401, ss2094876806, ss3642978780, ss3847464290 | NC_000012.10:110492138:C:T | NC_000012.12:111569951:C:T | (self) |
59467316, 33027527, 23394065, 3129160, 14732364, 35041838, 12670846, 841083, 222793, 15359191, 31138557, 8281380, 66152819, 33027527, 7328401, ss225963561, ss236090116, ss242616883, ss491473787, ss537360668, ss563407573, ss658990457, ss780685886, ss783359390, ss833053469, ss833644297, ss989963907, ss1078773745, ss1346655911, ss1427055400, ss1576528086, ss1629455778, ss1672449811, ss1752046618, ss1807421928, ss1917878905, ss1933317261, ss1946349972, ss1959466523, ss1967682872, ss2027415922, ss2095039468, ss2095039469, ss2155765026, ss2628189173, ss2633009175, ss2633009176, ss2700122696, ss2710770880, ss2915228403, ss2984991183, ss2985627211, ss3010355272, ss3021466749, ss3350251528, ss3626969976, ss3626969977, ss3634523955, ss3637987194, ss3640231288, ss3644602979, ss3651848940, ss3651848941, ss3651848942, ss3653761077, ss3677655817, ss3739385981, ss3744401112, ss3744824770, ss3750970541, ss3772323973, ss3787336982, ss3792419219, ss3797302305, ss3833328425, ss3840236365, ss3879121577, ss3927864444, ss3984673297, ss3985615156, ss4017610911, ss5208183512, ss5315649556, ss5408254746, ss5510845587, ss5624312327, ss5653965241, ss5838520140, ss5847415930, ss5945372540, ss5979404185 | NC_000012.11:112007755:C:T | NC_000012.12:111569951:C:T | (self) |
78008118, 419463159, 905491, 29113893, 939148, 92349631, 148470715, 11493392525, ss2193225411, ss3027517951, ss3649923323, ss3694474563, ss3725357843, ss3771717679, ss3816302718, ss3845724999, ss3972735892, ss4932925058, ss5292248338, ss5486850560, ss5590482183, ss5758512527, ss5813649107, ss5850548686, ss5906039556 | NC_000012.12:111569951:C:T | NC_000012.12:111569951:C:T | (self) |
ss15655495, ss16579296, ss19942562, ss20961396 | NT_009775.14:2526497:C:T | NC_000012.12:111569951:C:T | (self) |
ss826183, ss1211981, ss1953473, ss6574927, ss38970233, ss66655334, ss67467468, ss67821935, ss70870870, ss71459717, ss75534472, ss76431387, ss79224449, ss83508612, ss97341413, ss105122313, ss122562110, ss132063172, ss133363687, ss154366100, ss157912984, ss159542266, ss172142905, ss174026544, ss469415397, ss469996517 | NT_009775.17:2584285:C:T | NC_000012.12:111569951:C:T | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
PMID | Title | Author | Year | Journal |
---|---|---|---|---|
16205789 | Positive selection of a pre-expansion CAG repeat of the human SCA2 gene. | Yu F et al. | 2005 | PLoS genetics |
18311140 | Newly identified genetic risk variants for celiac disease related to the immune response. | Hunt KA et al. | 2008 | Nature genetics |
18713140 | Translational mini-review series on the immunogenetics of gut disease: immunogenetics of coeliac disease. | Dubois PC et al. | 2008 | Clinical and experimental immunology |
18853133 | Gene variants influencing measures of inflammation or predisposing to autoimmune and inflammatory diseases are not associated with the risk of type 2 diabetes. | Rafiq S et al. | 2008 | Diabetologia |
19430479 | Genome-wide association study of blood pressure and hypertension. | Levy D et al. | 2009 | Nature genetics |
19430483 | Genome-wide association study identifies eight loci associated with blood pressure. | Newton-Cheh C et al. | 2009 | Nature genetics |
19648293 | Replication of celiac disease UK genome-wide association study results in a US population. | Garner CP et al. | 2009 | Human molecular genetics |
19820697 | A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium. | Soranzo N et al. | 2009 | Nature genetics |
20190752 | Multiple common variants for celiac disease influencing immune gene expression. | Dubois PC et al. | 2010 | Nature genetics |
20369022 | Candidate causal regulatory effects by integration of expression QTLs with complex trait genetic associations. | Nica AC et al. | 2010 | PLoS genetics |
20383146 | New loci associated with kidney function and chronic kidney disease. | Köttgen A et al. | 2010 | Nature genetics |
20425154 | Genome-wide association studies: contribution of genomics to understanding blood pressure and essential hypertension. | Ehret GB et al. | 2010 | Current hypertension reports |
20542020 | Confirmation of top polymorphisms in hypertension genome wide association study among Han Chinese. | Niu W et al. | 2010 | Clinica chimica acta; international journal of clinical chemistry |
20647273 | Investigation of type 1 diabetes and coeliac disease susceptibility loci for association with juvenile idiopathic arthritis. | Hinks A et al. | 2010 | Annals of the rheumatic diseases |
20838585 | Longitudinal genome-wide association of cardiovascular disease risk factors in the Bogalusa heart study. | Smith EN et al. | 2010 | PLoS genetics |
20854658 | Overlapping genetic susceptibility variants between three autoimmune disorders: rheumatoid arthritis, type 1 diabetes and coeliac disease. | Eyre S et al. | 2010 | Arthritis research & therapy |
20948529 | Recent findings in the genetics of blood pressure and hypertension traits. | Franceschini N et al. | 2011 | American journal of hypertension |
21045733 | Discovery and replication of novel blood pressure genetic loci in the Women's Genome Health Study. | Ho JE et al. | 2011 | Journal of hypertension |
21129164 | The genetics of blood pressure and hypertension: the role of rare variation. | Doris PA et al. | 2011 | Cardiovascular therapeutics |
21383967 | Meta-analysis of genome-wide association studies in celiac disease and rheumatoid arthritis identifies fourteen non-HLA shared loci. | Zhernakova A et al. | 2011 | PLoS genetics |
21507254 | Geographic differences in allele frequencies of susceptibility SNPs for cardiovascular disease. | Ding K et al. | 2011 | BMC medical genetics |
21826374 | Selective IgA deficiency in autoimmune diseases. | Wang N et al. | 2011 | Molecular medicine (Cambridge, Mass.) |
21829388 | Trans-eQTLs reveal that independent genetic variants associated with a complex phenotype converge on intermediate genes, with a major role for the HLA. | Fehrmann RS et al. | 2011 | PLoS genetics |
21860704 | Implications of discoveries from genome-wide association studies in current cardiovascular practice. | Jeemon P et al. | 2011 | World journal of cardiology |
21931561 | Genetic association for renal traits among participants of African ancestry reveals new loci for renal function. | Liu CT et al. | 2011 | PLoS genetics |
21963141 | Genetic variations in CYP17A1, CACNB2 and PLEKHA7 are associated with blood pressure and/or hypertension in She ethnic minority of China. | Lin Y et al. | 2011 | Atherosclerosis |
21980298 | Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD. | Böger CA et al. | 2011 | PLoS genetics |
22144904 | Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans. | Rotival M et al. | 2011 | PLoS genetics |
22190364 | Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci. | Patsopoulos NA et al. | 2011 | Annals of neurology |
22216278 | Large scale association analysis identifies three susceptibility loci for coronary artery disease. | Saade S et al. | 2011 | PloS one |
23474010 | Overlap between common genetic polymorphisms underpinning kidney traits and cardiovascular disease phenotypes: the CKDGen consortium. | Olden M et al. | 2013 | American journal of kidney diseases |
24274136 | Biobanking across the phenome - at the center of chronic disease research. | Imboden M et al. | 2013 | BMC public health |
24513273 | A genome-wide association study identifies common variants influencing serum uric acid concentrations in a Chinese population. | Yang B et al. | 2014 | BMC medical genomics |
24936253 | 12q24 locus association with type 1 diabetes: SH2B3 or ATXN2? | Auburger G et al. | 2014 | World journal of diabetes |
25009551 | The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study. | Kullo IJ et al. | 2014 | Frontiers in genetics |
25238615 | A gene variant in CERS2 is associated with rate of increase in albuminuria in patients with diabetes from ONTARGET and TRANSCEND. | Shiffman D et al. | 2014 | PloS one |
25302496 | Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractions. | Burgess S et al. | 2014 | PloS one |
25345847 | The association of thyroid peroxidase antibody risk loci with susceptibility to and phenotype of Graves' disease. | Kuś A et al. | 2015 | Clinical endocrinology |
25646370 | Genome-wide association study of clinically defined gout identifies multiple risk loci and its association with clinical subtypes. | Matsuo H et al. | 2016 | Annals of the rheumatic diseases |
25893417 | Genetic variants associated with celiac disease and the risk for coronary artery disease. | Jansen H et al. | 2015 | Molecular genetics and genomics |
25979711 | Do Genetic Susceptibility Variants Associate with Disease Severity in Early Active Rheumatoid Arthritis? | Scott IC et al. | 2015 | The Journal of rheumatology |
26051272 | Identification of Immune-Relevant Factors Conferring Sarcoidosis Genetic Risk. | Fischer A et al. | 2015 | American journal of respiratory and critical care medicine |
26752265 | Genome-wide association analysis identifies TXNRD2, ATXN2 and FOXC1 as susceptibility loci for primary open-angle glaucoma. | Bailey JN et al. | 2016 | Nature genetics |
26843965 | Identification of rheumatoid arthritis biomarkers based on single nucleotide polymorphisms and haplotype blocks: A systematic review and meta-analysis. | Saad MN et al. | 2016 | Journal of advanced research |
26902266 | Genome wide association study of uric acid in Indian population and interaction of identified variants with Type 2 diabetes. | Giri AK et al. | 2016 | Scientific reports |
27005424 | Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel disease. | Orlando G et al. | 2016 | Human molecular genetics |
27015091 | Identification of Non-HLA Genes Associated with Celiac Disease and Country-Specific Differences in a Large, International Pediatric Cohort. | Sharma A et al. | 2016 | PloS one |
27156530 | Genetic variation in IBD: progress, clues to pathogenesis and possible clinical utility. | Ye BD et al. | 2016 | Expert review of clinical immunology |
27338949 | Mendelian Randomisation study of the influence of eGFR on coronary heart disease. | Charoen P et al. | 2016 | Scientific reports |
27623284 | Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium. | Verma SS et al. | 2016 | PLoS genetics |
28679452 | Interaction of the GCKR and A1CF loci with alcohol consumption to influence the risk of gout. | Rasheed H et al. | 2017 | Arthritis research & therapy |
28793914 | Performance of gout definitions for genetic epidemiological studies: analysis of UK Biobank. | Cadzow M et al. | 2017 | Arthritis research & therapy |
28843344 | Novel common variants associated with body mass index and coronary artery disease detected using a pleiotropic cFDR method. | Lv WQ et al. | 2017 | Journal of molecular and cellular cardiology |
29547645 | Recurrent, low-frequency coding variants contributing to colorectal cancer in the Swedish population. | Jiao X et al. | 2018 | PloS one |
30626429 | Interactions between serum urate-associated genetic variants and sex on gout risk: analysis of the UK Biobank. | Narang RK et al. | 2019 | Arthritis research & therapy |
30888520 | Genetic Mechanisms Highlight Shared Pathways for the Pathogenesis of Polygenic Type 1 Diabetes and Monogenic Autoimmune Diabetes. | Johnson MB et al. | 2019 | Current diabetes reports |
32292418 | Serum Uric Acid Level and Multiple Sclerosis: A Mendelian Randomization Study. | Niu PP et al. | 2020 | Frontiers in genetics |
32929287 | Complex genetic signatures in immune cells underlie autoimmunity and inform therapy. | Orrù V et al. | 2020 | Nature genetics |
34025845 | Serum anti-inflammatory and inflammatory markers have no causal impact on telomere length: a Mendelian randomization study. | Mazidi M et al. | 2021 | Archives of medical science |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
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.
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.