Svoboda | Graniru | BBC Russia | Golosameriki | Facebook
Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

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)
T=0.14131 (11118/78676, PAGE_STUDY)
T=0.1145 (733/6404, 1000G_30x)
T=0.1100 (551/5008, 1000G)
T=0.1498 (671/4480, Estonian)
T=0.1279 (493/3854, ALSPAC)
T=0.1303 (483/3708, TWINSUK)
T=0.0003 (1/2922, KOREAN)
T=0.1048 (117/1116, Daghestan)
T=0.132 (132/998, GoNL)
T=0.172 (103/600, NorthernSweden)
T=0.156 (48/308, HapMap)
T=0.153 (33/216, Qatari)
T=0.005 (1/216, Vietnamese)
C=0.48 (45/94, SGDP_PRJ)
T=0.29 (20/68, Ancient Sardinia)
T=0.05 (2/40, GENOME_DK)
C=0.5 (5/10, Siberian)
T=0.5 (5/10, Siberian)
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.

Release Version: 20230706150541
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


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 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
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 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
Help

Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.

Not Reported in ClinVar
Help

Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".

Placement C= 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
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#.

88 SubSNP, 20 Frequency submissions
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)
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)
rs57028355 May 23, 2008 (130)
Added to this RefSNP Cluster:
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)
Help

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

41 citations for rs9982601
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
23393188 Genome-wide analysis of LXRα activation reveals new transcriptional networks in human atherosclerotic foam cells. Feldmann R et al. 2013 Nucleic acids research
23468967 Improvement in prediction of coronary heart disease risk over conventional risk factors using SNPs identified in genome-wide association studies. Bolton JL et al. 2013 PloS one
24219970 Common genetic variants do not associate with CAD in familial hypercholesterolemia. van Iperen EP et al. 2014 European journal of human genetics
24932356 Genetics of coronary artery disease: an update. Roberts R et al. 2014 Methodist DeBakey cardiovascular journal
25093840 Common genetic determinants of lung function, subclinical atherosclerosis and risk of coronary artery disease. Sabater-Lleal M et al. 2014 PloS one
25542012 Prospective associations of coronary heart disease loci in African Americans using the MetaboChip: the PAGE study. Franceschini N et al. 2014 PloS one
25697262 The rs9982601 polymorphism of the region between the SLC5A3/MRPS6 and KCNE2 genes associated with a prevalence of myocardial infarction and subsequent long-term mortality. Szpakowicz A et al. 2015 Polskie Archiwum Medycyny Wewnetrznej
26374098 CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation. Wang L et al. 2015 Genome biology
26708285 A genome-wide association study reveals susceptibility loci for myocardial infarction/coronary artery disease in Saudi Arabs. Wakil SM et al. 2016 Atherosclerosis
26847647 Experimental Biology for the Identification of Causal Pathways in Atherosclerosis. Guo Y et al. 2016 Cardiovascular drugs and therapy
26892960 From Loci to Biology: Functional Genomics of Genome-Wide Association for Coronary Disease. Nurnberg ST et al. 2016 Circulation research
26950853 Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. Dehghan A et al. 2016 PloS one
26958643 Detailed analysis of association between common single nucleotide polymorphisms and subclinical atherosclerosis: The Multi-ethnic Study of Atherosclerosis. Vargas JD et al. 2016 Data in brief
27189168 The impact of genome-wide association studies on the pathophysiology and therapy of cardiovascular disease. Kessler T et al. 2016 EMBO molecular medicine
27294088 Genetics of the acute coronary syndrome. Franchini M et al. 2016 Annals of translational medicine
28059143 Influence of coronary artery disease and subclinical atherosclerosis related polymorphisms on the risk of atherosclerosis in rheumatoid arthritis. López-Mejías R et al. 2017 Scientific reports
28144260 The rs2228145 polymorphism in the interleukin-6 receptor and its association with long-term prognosis after myocardial infarction in a pilot study. Szpakowicz A et al. 2017 Archives of medical science
28458444 Functional Analysis of the Coronary Heart Disease Risk Locus on Chromosome 21q22. Beaney KE et al. 2017 Disease markers
28686695 Coronary artery disease-associated genetic variants and biomarkers of inflammation. Christiansen MK et al. 2017 PloS one
28856136 Impact of a Genetic Risk Score for Coronary Artery Disease on Reducing Cardiovascular Risk: A Pilot Randomized Controlled Study. Knowles JW et al. 2017 Frontiers in cardiovascular medicine
31845553 Precision Medicine and Cardiovascular Health: Insights from Mendelian Randomization Analyses. Spiller W et al. 2020 Korean circulation journal
32632093 A genome-wide cross-phenotype meta-analysis of the association of blood pressure with migraine. Guo Y et al. 2020 Nature communications
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.post774+babeb33