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.
rs9982601
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr21:34226827 (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
-
T=0.150274 (39776/264690, TOPMED)T=0.126298 (22964/181824, ALFA)T=0.156774 (21964/140100, GnomAD) (+ 18 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
-
None
- Publications
- 41 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 |
---|---|---|---|---|
Total | Global | 182040 | C=0.873731 | G=0.000000, T=0.126269 |
European | Sub | 162124 | C=0.871530 | G=0.000000, T=0.128470 |
African | Sub | 6184 | C=0.8234 | G=0.0000, T=0.1766 |
African Others | Sub | 224 | C=0.826 | G=0.000, T=0.174 |
African American | Sub | 5960 | C=0.8233 | G=0.0000, T=0.1767 |
Asian | Sub | 3350 | C=1.0000 | G=0.0000, T=0.0000 |
East Asian | Sub | 2698 | C=1.0000 | G=0.0000, T=0.0000 |
Other Asian | Sub | 652 | C=1.000 | G=0.000, T=0.000 |
Latin American 1 | Sub | 410 | C=0.905 | G=0.000, T=0.095 |
Latin American 2 | Sub | 938 | C=0.957 | G=0.000, T=0.043 |
South Asian | Sub | 284 | C=0.954 | G=0.000, T=0.046 |
Other | Sub | 8750 | C=0.8887 | G=0.0000, T=0.1113 |
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=0.849726 | T=0.150274 |
Allele Frequency Aggregator | Total | Global | 181824 | C=0.873702 | G=0.000000, T=0.126298 |
Allele Frequency Aggregator | European | Sub | 161944 | C=0.871511 | G=0.000000, T=0.128489 |
Allele Frequency Aggregator | Other | Sub | 8728 | C=0.8885 | G=0.0000, T=0.1115 |
Allele Frequency Aggregator | African | Sub | 6170 | C=0.8232 | G=0.0000, T=0.1768 |
Allele Frequency Aggregator | Asian | Sub | 3350 | C=1.0000 | G=0.0000, T=0.0000 |
Allele Frequency Aggregator | Latin American 2 | Sub | 938 | C=0.957 | G=0.000, T=0.043 |
Allele Frequency Aggregator | Latin American 1 | Sub | 410 | C=0.905 | G=0.000, T=0.095 |
Allele Frequency Aggregator | South Asian | Sub | 284 | C=0.954 | G=0.000, T=0.046 |
gnomAD - Genomes | Global | Study-wide | 140100 | C=0.843226 | T=0.156774 |
gnomAD - Genomes | European | Sub | 75896 | C=0.86593 | T=0.13407 |
gnomAD - Genomes | African | Sub | 41950 | C=0.76827 | T=0.23173 |
gnomAD - Genomes | American | Sub | 13644 | C=0.89827 | T=0.10173 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | C=0.8809 | T=0.1191 |
gnomAD - Genomes | East Asian | Sub | 3134 | C=1.0000 | T=0.0000 |
gnomAD - Genomes | Other | Sub | 2152 | C=0.8680 | T=0.1320 |
The PAGE Study | Global | Study-wide | 78676 | C=0.85869 | T=0.14131 |
The PAGE Study | AfricanAmerican | Sub | 32504 | C=0.77184 | T=0.22816 |
The PAGE Study | Mexican | Sub | 10810 | C=0.93830 | T=0.06170 |
The PAGE Study | Asian | Sub | 8312 | C=0.9988 | T=0.0012 |
The PAGE Study | PuertoRican | Sub | 7918 | C=0.8716 | T=0.1284 |
The PAGE Study | NativeHawaiian | Sub | 4530 | C=0.9638 | T=0.0362 |
The PAGE Study | Cuban | Sub | 4230 | C=0.8660 | T=0.1340 |
The PAGE Study | Dominican | Sub | 3826 | C=0.8170 | T=0.1830 |
The PAGE Study | CentralAmerican | Sub | 2448 | C=0.9208 | T=0.0792 |
The PAGE Study | SouthAmerican | Sub | 1982 | C=0.9203 | T=0.0797 |
The PAGE Study | NativeAmerican | Sub | 1260 | C=0.8595 | T=0.1405 |
The PAGE Study | SouthAsian | Sub | 856 | C=0.944 | T=0.056 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.8855 | T=0.1145 |
1000Genomes_30x | African | Sub | 1786 | C=0.7727 | T=0.2273 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.8689 | T=0.1311 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.9484 | T=0.0516 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.9974 | T=0.0026 |
1000Genomes_30x | American | Sub | 980 | C=0.902 | T=0.098 |
1000Genomes | Global | Study-wide | 5008 | C=0.8900 | T=0.1100 |
1000Genomes | African | Sub | 1322 | C=0.7716 | T=0.2284 |
1000Genomes | East Asian | Sub | 1008 | C=0.9980 | T=0.0020 |
1000Genomes | Europe | Sub | 1006 | C=0.8777 | T=0.1223 |
1000Genomes | South Asian | Sub | 978 | C=0.946 | T=0.054 |
1000Genomes | American | Sub | 694 | C=0.898 | T=0.102 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.8502 | T=0.1498 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.8721 | T=0.1279 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.8697 | T=0.1303 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2922 | C=0.9997 | T=0.0003 |
Genome-wide autozygosity in Daghestan | Global | Study-wide | 1116 | C=0.8952 | T=0.1048 |
Genome-wide autozygosity in Daghestan | Daghestan | Sub | 628 | C=0.889 | T=0.111 |
Genome-wide autozygosity in Daghestan | Near_East | Sub | 138 | C=0.870 | T=0.130 |
Genome-wide autozygosity in Daghestan | Central Asia | Sub | 118 | C=0.966 | T=0.034 |
Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | C=0.833 | T=0.167 |
Genome-wide autozygosity in Daghestan | South Asian | Sub | 88 | C=0.95 | T=0.05 |
Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | C=0.92 | T=0.08 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.868 | T=0.132 |
Northern Sweden | ACPOP | Study-wide | 600 | C=0.828 | T=0.172 |
HapMap | Global | Study-wide | 308 | C=0.844 | T=0.156 |
HapMap | African | Sub | 116 | C=0.767 | T=0.233 |
HapMap | American | Sub | 102 | C=0.794 | T=0.206 |
HapMap | Asian | Sub | 90 | C=1.00 | T=0.00 |
Qatari | Global | Study-wide | 216 | C=0.847 | T=0.153 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 216 | C=0.995 | T=0.005 |
SGDP_PRJ | Global | Study-wide | 94 | C=0.48 | T=0.52 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 68 | C=0.71 | T=0.29 |
The Danish reference pan genome | Danish | Study-wide | 40 | C=0.95 | T=0.05 |
Siberian | Global | Study-wide | 10 | C=0.5 | T=0.5 |
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 21 | NC_000021.9:g.34226827C>G |
GRCh38.p14 chr 21 | NC_000021.9:g.34226827C>T |
GRCh37.p13 chr 21 | NC_000021.8:g.35599128C>G |
GRCh37.p13 chr 21 | NC_000021.8:g.35599128C>T |
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 21 | NC_000021.9:g.34226827= | NC_000021.9:g.34226827C>G | NC_000021.9:g.34226827C>T |
GRCh37.p13 chr 21 | NC_000021.8:g.35599128= | NC_000021.8:g.35599128C>G | NC_000021.8:g.35599128C>T |
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 | WUGSC_SSAHASNP | ss13825477 | Dec 05, 2003 (119) |
2 | PERLEGEN | ss69252865 | May 16, 2007 (127) |
3 | HGSV | ss80714629 | Dec 14, 2007 (130) |
4 | 1000GENOMES | ss112446171 | Jan 25, 2009 (130) |
5 | 1000GENOMES | ss113847760 | Jan 25, 2009 (130) |
6 | ILLUMINA-UK | ss117513939 | Feb 14, 2009 (130) |
7 | COMPLETE_GENOMICS | ss167954638 | Jul 04, 2010 (132) |
8 | COMPLETE_GENOMICS | ss169391824 | Jul 04, 2010 (132) |
9 | 1000GENOMES | ss228548028 | Jul 14, 2010 (132) |
10 | 1000GENOMES | ss237970409 | Jul 15, 2010 (132) |
11 | ILLUMINA | ss410961439 | Sep 17, 2011 (135) |
12 | PAGE_STUDY | ss469415494 | May 04, 2012 (137) |
13 | ILLUMINA | ss481483785 | May 04, 2012 (137) |
14 | ILLUMINA | ss484263806 | May 04, 2012 (137) |
15 | EXOME_CHIP | ss491565424 | May 04, 2012 (137) |
16 | ILLUMINA | ss534290084 | Sep 08, 2015 (146) |
17 | TISHKOFF | ss566476950 | Apr 25, 2013 (138) |
18 | ILLUMINA | ss779875987 | Sep 08, 2015 (146) |
19 | ILLUMINA | ss780687696 | Sep 08, 2015 (146) |
20 | ILLUMINA | ss781492769 | Sep 08, 2015 (146) |
21 | ILLUMINA | ss783361263 | Sep 08, 2015 (146) |
22 | ILLUMINA | ss835353363 | Sep 08, 2015 (146) |
23 | EVA-GONL | ss995089081 | Aug 21, 2014 (142) |
24 | JMKIDD_LAB | ss1082477507 | Aug 21, 2014 (142) |
25 | 1000GENOMES | ss1366184855 | Aug 21, 2014 (142) |
26 | HAMMER_LAB | ss1397779369 | Sep 08, 2015 (146) |
27 | DDI | ss1429175619 | Apr 01, 2015 (144) |
28 | EVA_GENOME_DK | ss1579651408 | Apr 01, 2015 (144) |
29 | EVA_UK10K_ALSPAC | ss1639503561 | Apr 01, 2015 (144) |
30 | EVA_UK10K_TWINSUK | ss1682497594 | Apr 01, 2015 (144) |
31 | EVA_DECODE | ss1699159067 | Apr 01, 2015 (144) |
32 | ILLUMINA | ss1752406503 | Sep 08, 2015 (146) |
33 | HAMMER_LAB | ss1809672690 | Sep 08, 2015 (146) |
34 | ILLUMINA | ss1917951118 | Feb 12, 2016 (147) |
35 | WEILL_CORNELL_DGM | ss1938639989 | Feb 12, 2016 (147) |
36 | ILLUMINA | ss1946563947 | Feb 12, 2016 (147) |
37 | ILLUMINA | ss1959950489 | Feb 12, 2016 (147) |
38 | JJLAB | ss2030091385 | Sep 14, 2016 (149) |
39 | ILLUMINA | ss2094810675 | Dec 20, 2016 (150) |
40 | ILLUMINA | ss2095118796 | Dec 20, 2016 (150) |
41 | USC_VALOUEV | ss2158695760 | Dec 20, 2016 (150) |
42 | HUMAN_LONGEVITY | ss2245569179 | Dec 20, 2016 (150) |
43 | ILLUMINA | ss2633844696 | Nov 08, 2017 (151) |
44 | ILLUMINA | ss2635109384 | Nov 08, 2017 (151) |
45 | GNOMAD | ss2971514409 | Nov 08, 2017 (151) |
46 | AFFY | ss2985227010 | Nov 08, 2017 (151) |
47 | AFFY | ss2985844655 | Nov 08, 2017 (151) |
48 | SWEGEN | ss3018848901 | Nov 08, 2017 (151) |
49 | ILLUMINA | ss3022156488 | Nov 08, 2017 (151) |
50 | BIOINF_KMB_FNS_UNIBA | ss3028884288 | Nov 08, 2017 (151) |
51 | CSHL | ss3352705654 | Nov 08, 2017 (151) |
52 | ILLUMINA | ss3628473878 | Oct 12, 2018 (152) |
53 | ILLUMINA | ss3628473879 | Oct 12, 2018 (152) |
54 | ILLUMINA | ss3631798454 | Oct 12, 2018 (152) |
55 | ILLUMINA | ss3634853370 | Oct 12, 2018 (152) |
56 | ILLUMINA | ss3640560669 | Oct 12, 2018 (152) |
57 | ILLUMINA | ss3642202600 | Oct 12, 2018 (152) |
58 | ILLUMINA | ss3644791859 | Oct 12, 2018 (152) |
59 | ILLUMINA | ss3652615850 | Oct 12, 2018 (152) |
60 | ILLUMINA | ss3652615851 | Oct 12, 2018 (152) |
61 | ILLUMINA | ss3653995682 | Oct 12, 2018 (152) |
62 | EGCUT_WGS | ss3685424943 | Jul 13, 2019 (153) |
63 | EVA_DECODE | ss3707679378 | Jul 13, 2019 (153) |
64 | ILLUMINA | ss3725945456 | Jul 13, 2019 (153) |
65 | ACPOP | ss3743707668 | Jul 13, 2019 (153) |
66 | ILLUMINA | ss3744498080 | Jul 13, 2019 (153) |
67 | ILLUMINA | ss3745153230 | Jul 13, 2019 (153) |
68 | EVA | ss3759074825 | Jul 13, 2019 (153) |
69 | PAGE_CC | ss3772071720 | Jul 13, 2019 (153) |
70 | ILLUMINA | ss3772649296 | Jul 13, 2019 (153) |
71 | KHV_HUMAN_GENOMES | ss3822242063 | Jul 13, 2019 (153) |
72 | EVA | ss3835859876 | Apr 27, 2020 (154) |
73 | SGDP_PRJ | ss3889947330 | Apr 27, 2020 (154) |
74 | KRGDB | ss3940303934 | Apr 27, 2020 (154) |
75 | EVA | ss3985901576 | Apr 26, 2021 (155) |
76 | TOPMED | ss5100783013 | Apr 26, 2021 (155) |
77 | EVA | ss5237612258 | Apr 26, 2021 (155) |
78 | 1000G_HIGH_COVERAGE | ss5310131205 | Oct 13, 2022 (156) |
79 | EVA | ss5439723562 | Oct 13, 2022 (156) |
80 | HUGCELL_USP | ss5502185737 | Oct 13, 2022 (156) |
81 | 1000G_HIGH_COVERAGE | ss5617233873 | Oct 13, 2022 (156) |
82 | SANFORD_IMAGENETICS | ss5624495560 | Oct 13, 2022 (156) |
83 | SANFORD_IMAGENETICS | ss5663962241 | Oct 13, 2022 (156) |
84 | EVA | ss5839003849 | Oct 13, 2022 (156) |
85 | EVA | ss5847512983 | Oct 13, 2022 (156) |
86 | EVA | ss5892254740 | Oct 13, 2022 (156) |
87 | EVA | ss5958854908 | Oct 13, 2022 (156) |
88 | EVA | ss5979628081 | Oct 13, 2022 (156) |
89 | 1000Genomes | NC_000021.8 - 35599128 | Oct 12, 2018 (152) |
90 | 1000Genomes_30x | NC_000021.9 - 34226827 | Oct 13, 2022 (156) |
91 | The Avon Longitudinal Study of Parents and Children | NC_000021.8 - 35599128 | Oct 12, 2018 (152) |
92 | Genome-wide autozygosity in Daghestan | NC_000021.7 - 34520998 | Apr 27, 2020 (154) |
93 | Genetic variation in the Estonian population | NC_000021.8 - 35599128 | Oct 12, 2018 (152) |
94 | The Danish reference pan genome | NC_000021.8 - 35599128 | Apr 27, 2020 (154) |
95 | gnomAD - Genomes | NC_000021.9 - 34226827 | Apr 26, 2021 (155) |
96 | Genome of the Netherlands Release 5 | NC_000021.8 - 35599128 | Apr 27, 2020 (154) |
97 | HapMap | NC_000021.9 - 34226827 | Apr 27, 2020 (154) |
98 | KOREAN population from KRGDB | NC_000021.8 - 35599128 | Apr 27, 2020 (154) |
99 | Northern Sweden | NC_000021.8 - 35599128 | Jul 13, 2019 (153) |
100 | The PAGE Study | NC_000021.9 - 34226827 | Jul 13, 2019 (153) |
101 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000021.8 - 35599128 | Apr 26, 2021 (155) |
102 | Qatari | NC_000021.8 - 35599128 | Apr 27, 2020 (154) |
103 | SGDP_PRJ | NC_000021.8 - 35599128 | Apr 27, 2020 (154) |
104 | Siberian | NC_000021.8 - 35599128 | Apr 27, 2020 (154) |
105 | TopMed | NC_000021.9 - 34226827 | Apr 26, 2021 (155) |
106 | UK 10K study - Twins | NC_000021.8 - 35599128 | Oct 12, 2018 (152) |
107 | A Vietnamese Genetic Variation Database | NC_000021.8 - 35599128 | Jul 13, 2019 (153) |
108 | ALFA | NC_000021.9 - 34226827 | 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) |
---|---|
rs57028355 | May 23, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
12865788083 | NC_000021.9:34226826:C:G | NC_000021.9:34226826:C:G | (self) |
293390, ss80714629, ss112446171, ss113847760, ss117513939, ss167954638, ss169391824, ss484263806, ss1397779369, ss1699159067, ss2635109384 | NC_000021.7:34520997:C:T | NC_000021.9:34226826:C:T | (self) |
79700715, 44105203, 31163191, 5816347, 19647687, 47481328, 16992533, 1127503, 20681911, 41964310, 11212114, 44105203, 9732296, ss228548028, ss237970409, ss481483785, ss491565424, ss534290084, ss566476950, ss779875987, ss780687696, ss781492769, ss783361263, ss835353363, ss995089081, ss1082477507, ss1366184855, ss1429175619, ss1579651408, ss1639503561, ss1682497594, ss1752406503, ss1809672690, ss1917951118, ss1938639989, ss1946563947, ss1959950489, ss2030091385, ss2094810675, ss2095118796, ss2158695760, ss2633844696, ss2971514409, ss2985227010, ss2985844655, ss3018848901, ss3022156488, ss3352705654, ss3628473878, ss3628473879, ss3631798454, ss3634853370, ss3640560669, ss3642202600, ss3644791859, ss3652615850, ss3652615851, ss3653995682, ss3685424943, ss3743707668, ss3744498080, ss3745153230, ss3759074825, ss3772649296, ss3835859876, ss3889947330, ss3940303934, ss3985901576, ss5237612258, ss5439723562, ss5624495560, ss5663962241, ss5839003849, ss5847512983, ss5958854908, ss5979628081 | NC_000021.8:35599127:C:T | NC_000021.9:34226826:C:T | (self) |
104759808, 562507012, 2203772, 1293189, 375891959, 12865788083, ss2245569179, ss3028884288, ss3707679378, ss3725945456, ss3772071720, ss3822242063, ss5100783013, ss5310131205, ss5502185737, ss5617233873, ss5892254740 | NC_000021.9:34226826:C:T | NC_000021.9:34226826:C:T | (self) |
ss13825477 | NT_011512.9:21259523:C:T | NC_000021.9:34226826:C:T | (self) |
ss69252865, ss410961439, ss469415494 | NT_011512.11:21260998:C:T | NC_000021.9:34226826: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 |
---|---|---|---|---|
19198609 | Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants. | Kathiresan S et al. | 2009 | Nature genetics |
19956433 | Genetics of coronary artery disease: focus on genome-wide association studies. | Baudhuin LM et al. | 2009 | American journal of translational research |
20440292 | Early identification of cardiovascular risk using genomics and proteomics. | Kullo IJ et al. | 2010 | Nature reviews. Cardiology |
20729558 | Improved prediction of cardiovascular disease based on a panel of single nucleotide polymorphisms identified through genome-wide association studies. | Davies RW et al. | 2010 | Circulation. Cardiovascular genetics |
20835900 | Genetics of diabetes complications. | Doria A et al. | 2010 | Current diabetes reports |
20971364 | A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses. | Ripatti S et al. | 2010 | Lancet (London, England) |
21239051 | Identification of ADAMTS7 as a novel locus for coronary atherosclerosis and association of ABO with myocardial infarction in the presence of coronary atherosclerosis: two genome-wide association studies. | Reilly MP et al. | 2011 | Lancet (London, England) |
21378990 | Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. | Schunkert H et al. | 2011 | Nature genetics |
21860704 | Implications of discoveries from genome-wide association studies in current cardiovascular practice. | Jeemon P et al. | 2011 | World journal of cardiology |
21875899 | Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour. | Peden JF et al. | 2011 | Human molecular genetics |
22144573 | Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction. | O'Donnell CJ et al. | 2011 | Circulation |
22151179 | Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record. | Ding K et al. | 2011 | BMC cardiovascular disorders |
22152955 | Genetic susceptibility to coronary heart disease in type 2 diabetes: 3 independent studies. | Qi L et al. | 2011 | Journal of the American College of Cardiology |
22363065 | Are myocardial infarction--associated single-nucleotide polymorphisms associated with ischemic stroke? | Cheng YC et al. | 2012 | Stroke |
22429504 | Genetic predisposition to coronary heart disease and stroke using an additive genetic risk score: a population-based study in Greece. | Yiannakouris N et al. | 2012 | Atherosclerosis |
22588700 | Genetics of coronary artery disease in the 21st century. | Roberts R et al. | 2012 | Clinical cardiology |
22848412 | Genetic markers enhance coronary risk prediction in men: the MORGAM prospective cohorts. | Hughes MF et al. | 2012 | PloS one |
22882272 | Genetic variants associated with myocardial infarction in the PSMA6 gene and Chr9p21 are also associated with ischaemic stroke. | Heckman MG et al. | 2013 | European journal of neurology |
23100282 | Impact of common genetic variation on response to simvastatin therapy among 18 705 participants in the Heart Protection Study. | Hopewell JC et al. | 2013 | European heart journal |
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The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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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.