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.

rs5051

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr1:230714126 (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>A / C>G / C>T
Variation Type
SNV Single Nucleotide Variation
Frequency
C=0.389875 (103196/264690, TOPMED)
T=0.446618 (62907/140852, ALFA)
C=0.417986 (58462/139866, GnomAD) (+ 19 more)
C=0.24978 (19657/78698, PAGE_STUDY)
C=0.18262 (5160/28256, 14KJPN)
C=0.18437 (3090/16760, 8.3KJPN)
C=0.2865 (1835/6404, 1000G_30x)
C=0.2895 (1450/5008, 1000G)
T=0.4770 (2137/4480, Estonian)
T=0.3957 (1525/3854, ALSPAC)
T=0.4126 (1530/3708, TWINSUK)
C=0.2003 (587/2930, KOREAN)
C=0.2659 (503/1892, HapMap)
C=0.1758 (322/1832, Korea1K)
T=0.398 (397/998, GoNL)
C=0.208 (163/784, PRJEB37584)
T=0.385 (231/600, NorthernSweden)
C=0.202 (96/476, SGDP_PRJ)
C=0.407 (88/216, Qatari)
C=0.351 (66/188, PharmGKB)
C=0.35 (16/46, Siberian)
T=0.30 (12/40, GENOME_DK)
Clinical Significance
Reported in ClinVar
Gene : Consequence
AGT : Intron Variant
Publications
32 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: 20231103111315
Population Group Sample Size Ref Allele Alt Allele Ref HMOZ Alt HMOZ HTRZ HWEP
Total Global 140852 C=0.553382 G=0.000000, T=0.446618 0.320776 0.214012 0.465212 32
European Sub 123518 C=0.583542 G=0.000000, T=0.416458 0.345634 0.178549 0.475817 15
African Sub 4346 C=0.1700 G=0.0000, T=0.8300 0.044179 0.704096 0.251726 14
African Others Sub 134 C=0.082 G=0.000, T=0.918 0.0 0.835821 0.164179 0
African American Sub 4212 C=0.1728 G=0.0000, T=0.8272 0.045584 0.699905 0.254511 14
Asian Sub 554 C=0.161 G=0.000, T=0.839 0.028881 0.707581 0.263538 0
East Asian Sub 446 C=0.157 G=0.000, T=0.843 0.03139 0.717489 0.251121 0
Other Asian Sub 108 C=0.176 G=0.000, T=0.824 0.018519 0.666667 0.314815 0
Latin American 1 Sub 620 C=0.434 G=0.000, T=0.566 0.193548 0.325806 0.480645 0
Latin American 2 Sub 5758 C=0.3090 G=0.0000, T=0.6910 0.104203 0.48628 0.409517 3
South Asian Sub 112 C=0.491 G=0.000, T=0.509 0.267857 0.285714 0.446429 0
Other Sub 5944 C=0.4939 G=0.0000, T=0.5061 0.257739 0.269852 0.472409 5


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=0.389875 T=0.610125
Allele Frequency Aggregator Total Global 140852 C=0.553382 G=0.000000, T=0.446618
Allele Frequency Aggregator European Sub 123518 C=0.583542 G=0.000000, T=0.416458
Allele Frequency Aggregator Other Sub 5944 C=0.4939 G=0.0000, T=0.5061
Allele Frequency Aggregator Latin American 2 Sub 5758 C=0.3090 G=0.0000, T=0.6910
Allele Frequency Aggregator African Sub 4346 C=0.1700 G=0.0000, T=0.8300
Allele Frequency Aggregator Latin American 1 Sub 620 C=0.434 G=0.000, T=0.566
Allele Frequency Aggregator Asian Sub 554 C=0.161 G=0.000, T=0.839
Allele Frequency Aggregator South Asian Sub 112 C=0.491 G=0.000, T=0.509
gnomAD - Genomes Global Study-wide 139866 C=0.417986 T=0.582014
gnomAD - Genomes European Sub 75706 C=0.57538 T=0.42462
gnomAD - Genomes African Sub 41938 C=0.16033 T=0.83967
gnomAD - Genomes American Sub 13628 C=0.36109 T=0.63891
gnomAD - Genomes Ashkenazi Jewish Sub 3320 C=0.5560 T=0.4440
gnomAD - Genomes East Asian Sub 3130 C=0.1655 T=0.8345
gnomAD - Genomes Other Sub 2144 C=0.4165 T=0.5835
The PAGE Study Global Study-wide 78698 C=0.24978 T=0.75022
The PAGE Study AfricanAmerican Sub 32512 C=0.16628 T=0.83372
The PAGE Study Mexican Sub 10810 C=0.29796 T=0.70204
The PAGE Study Asian Sub 8318 C=0.1881 T=0.8119
The PAGE Study PuertoRican Sub 7918 C=0.3570 T=0.6430
The PAGE Study NativeHawaiian Sub 4534 C=0.2331 T=0.7669
The PAGE Study Cuban Sub 4230 C=0.4790 T=0.5210
The PAGE Study Dominican Sub 3828 C=0.3328 T=0.6672
The PAGE Study CentralAmerican Sub 2450 C=0.3057 T=0.6943
The PAGE Study SouthAmerican Sub 1982 C=0.3340 T=0.6660
The PAGE Study NativeAmerican Sub 1260 C=0.4373 T=0.5627
The PAGE Study SouthAsian Sub 856 C=0.373 T=0.627
14KJPN JAPANESE Study-wide 28256 C=0.18262 T=0.81738
8.3KJPN JAPANESE Study-wide 16760 C=0.18437 T=0.81563
1000Genomes_30x Global Study-wide 6404 C=0.2865 T=0.7135
1000Genomes_30x African Sub 1786 C=0.0817 T=0.9183
1000Genomes_30x Europe Sub 1266 C=0.5885 T=0.4115
1000Genomes_30x South Asian Sub 1202 C=0.3644 T=0.6356
1000Genomes_30x East Asian Sub 1170 C=0.1462 T=0.8538
1000Genomes_30x American Sub 980 C=0.342 T=0.658
1000Genomes Global Study-wide 5008 C=0.2895 T=0.7105
1000Genomes African Sub 1322 C=0.0840 T=0.9160
1000Genomes East Asian Sub 1008 C=0.1488 T=0.8512
1000Genomes Europe Sub 1006 C=0.5875 T=0.4125
1000Genomes South Asian Sub 978 C=0.360 T=0.640
1000Genomes American Sub 694 C=0.354 T=0.646
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.5230 T=0.4770
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.6043 T=0.3957
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.5874 T=0.4126
KOREAN population from KRGDB KOREAN Study-wide 2930 C=0.2003 A=0.0000, G=0.0000, T=0.7997
HapMap Global Study-wide 1892 C=0.2659 T=0.7341
HapMap American Sub 770 C=0.384 T=0.616
HapMap African Sub 692 C=0.100 T=0.900
HapMap Asian Sub 254 C=0.157 T=0.843
HapMap Europe Sub 176 C=0.557 T=0.443
Korean Genome Project KOREAN Study-wide 1832 C=0.1758 T=0.8242
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.602 T=0.398
CNV burdens in cranial meningiomas Global Study-wide 784 C=0.208 T=0.792
CNV burdens in cranial meningiomas CRM Sub 784 C=0.208 T=0.792
Northern Sweden ACPOP Study-wide 600 C=0.615 T=0.385
SGDP_PRJ Global Study-wide 476 C=0.202 T=0.798
Qatari Global Study-wide 216 C=0.407 T=0.593
PharmGKB Aggregated Global Study-wide 188 C=0.351 T=0.649
PharmGKB Aggregated PA151490457 Sub 94 C=0.35 T=0.65
PharmGKB Aggregated PA151491066 Sub 94 C=0.35 T=0.65
Siberian Global Study-wide 46 C=0.35 T=0.65
The Danish reference pan genome Danish Study-wide 40 C=0.70 T=0.30
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.230714126C>A
GRCh38.p14 chr 1 NC_000001.11:g.230714126C>G
GRCh38.p14 chr 1 NC_000001.11:g.230714126C>T
GRCh37.p13 chr 1 NC_000001.10:g.230849872C>A
GRCh37.p13 chr 1 NC_000001.10:g.230849872C>G
GRCh37.p13 chr 1 NC_000001.10:g.230849872C>T
AGT RefSeqGene NG_008836.2:g.5465G>T
AGT RefSeqGene NG_008836.2:g.5465G>C
AGT RefSeqGene NG_008836.2:g.5465G>A
Gene: AGT, angiotensinogen (minus strand)
Molecule type Change Amino acid[Codon] SO Term
AGT transcript variant 2 NM_001382817.3:c.-30-3273…

NM_001382817.3:c.-30-3273G>T

N/A Intron Variant
AGT transcript variant 1 NM_001384479.1:c. N/A Genic Upstream Transcript Variant
Help

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

Allele: T (allele ID: 281157 )
ClinVar Accession Disease Names Clinical Significance
RCV000262949.5 Renal tubular dysgenesis Benign
RCV000835696.3 not provided Benign
RCV002221221.3 Hypertension, essential, susceptibility to Risk-Factor
RCV002221222.3 Crohn disease, association with Pathogenic
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= A G T
GRCh38.p14 chr 1 NC_000001.11:g.230714126= NC_000001.11:g.230714126C>A NC_000001.11:g.230714126C>G NC_000001.11:g.230714126C>T
GRCh37.p13 chr 1 NC_000001.10:g.230849872= NC_000001.10:g.230849872C>A NC_000001.10:g.230849872C>G NC_000001.10:g.230849872C>T
AGT RefSeqGene NG_008836.2:g.5465= NG_008836.2:g.5465G>T NG_008836.2:g.5465G>C NG_008836.2:g.5465G>A
AGT transcript NM_000029.3:c.-44= NM_000029.3:c.-44G>T NM_000029.3:c.-44G>C NM_000029.3:c.-44G>A
AGT transcript variant 2 NM_001382817.3:c.-30-3273= NM_001382817.3:c.-30-3273G>T NM_001382817.3:c.-30-3273G>C NM_001382817.3:c.-30-3273G>A
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#.

131 SubSNP, 22 Frequency, 4 ClinVar submissions
No Submitter Submission ID Date (Build)
1 ARAVINDA ss6495 Sep 19, 2000 (52)
2 TSC-CSHL ss1471227 Oct 04, 2000 (86)
3 SC_JCM ss3498219 Sep 28, 2001 (100)
4 YUSUKE ss4976051 Aug 28, 2002 (108)
5 WI_SSAHASNP ss11397726 Jul 11, 2003 (116)
6 PARC ss16338934 Feb 27, 2004 (120)
7 CSHL-HAPMAP ss16418328 Feb 27, 2004 (120)
8 SSAHASNP ss20566154 Apr 05, 2004 (121)
9 IMCJ-GDT ss22886624 Apr 05, 2004 (121)
10 SEQUENOM ss24806983 Sep 21, 2004 (123)
11 KYUGEN ss28460766 Sep 20, 2004 (123)
12 ABI ss43816751 Mar 13, 2006 (126)
13 STEJUSTINE-REGGEN ss51853112 Mar 16, 2006 (126)
14 ILLUMINA ss75124512 Dec 07, 2007 (129)
15 CGM_KYOTO ss76867055 Dec 07, 2007 (129)
16 PHARMGKB_PARC ss84151202 Dec 15, 2007 (130)
17 PHARMGKB_PARC ss84151221 Dec 15, 2007 (130)
18 HGSV ss84297747 Dec 15, 2007 (130)
19 HGSV ss85127755 Dec 15, 2007 (130)
20 HGSV ss86137296 Dec 15, 2007 (130)
21 RSG_UW ss86211282 Mar 23, 2008 (129)
22 RSG_JCVI ss86215611 Mar 23, 2008 (129)
23 BGI ss102830773 Dec 01, 2009 (131)
24 1000GENOMES ss109021237 Jan 23, 2009 (130)
25 1000GENOMES ss111914271 Jan 25, 2009 (130)
26 ILLUMINA-UK ss119241050 Feb 15, 2009 (130)
27 KRIBB_YJKIM ss119337518 Dec 01, 2009 (131)
28 ILLUMINA ss160737663 Dec 01, 2009 (131)
29 ENSEMBL ss161227514 Dec 01, 2009 (131)
30 COMPLETE_GENOMICS ss165369094 Jul 04, 2010 (132)
31 COMPLETE_GENOMICS ss167558920 Jul 04, 2010 (132)
32 ILLUMINA ss173908246 Jul 04, 2010 (132)
33 BUSHMAN ss199729377 Jul 04, 2010 (132)
34 ILLUMINA ss244302764 Jul 04, 2010 (132)
35 BL ss253884131 May 09, 2011 (134)
36 GMI ss276256145 May 04, 2012 (137)
37 PJP ss290753216 May 09, 2011 (134)
38 1000GENOMES ss454729631 Sep 17, 2011 (135)
39 PAGE_STUDY ss469996493 May 04, 2012 (137)
40 ILLUMINA ss481131082 May 04, 2012 (137)
41 ILLUMINA ss481153107 May 04, 2012 (137)
42 ILLUMINA ss482142643 Sep 08, 2015 (146)
43 ILLUMINA ss485360564 May 04, 2012 (137)
44 ILLUMINA ss537304992 Sep 08, 2015 (146)
45 TISHKOFF ss555199776 Apr 25, 2013 (138)
46 SSMP ss648772961 Apr 25, 2013 (138)
47 ILLUMINA ss778707188 Sep 08, 2015 (146)
48 ILLUMINA ss783125969 Sep 08, 2015 (146)
49 ILLUMINA ss784082581 Sep 08, 2015 (146)
50 ILLUMINA ss832384810 Sep 08, 2015 (146)
51 ILLUMINA ss834166278 Sep 08, 2015 (146)
52 EVA-GONL ss976246045 Aug 21, 2014 (142)
53 JMKIDD_LAB ss1068678342 Aug 21, 2014 (142)
54 1000GENOMES ss1295035070 Aug 21, 2014 (142)
55 DDI ss1426140710 Apr 01, 2015 (144)
56 EVA_GENOME_DK ss1574742379 Apr 01, 2015 (144)
57 EVA_DECODE ss1585645968 Apr 01, 2015 (144)
58 EVA_UK10K_ALSPAC ss1602344839 Apr 01, 2015 (144)
59 EVA_UK10K_TWINSUK ss1645338872 Apr 01, 2015 (144)
60 EVA_SVP ss1712412884 Apr 01, 2015 (144)
61 ILLUMINA ss1751904349 Sep 08, 2015 (146)
62 HAMMER_LAB ss1795862201 Sep 08, 2015 (146)
63 WEILL_CORNELL_DGM ss1919467715 Feb 12, 2016 (147)
64 ILLUMINA ss1958366186 Feb 12, 2016 (147)
65 GENOMED ss1966996830 Jul 19, 2016 (147)
66 JJLAB ss2020259095 Sep 14, 2016 (149)
67 USC_VALOUEV ss2148294839 Dec 20, 2016 (150)
68 HUMAN_LONGEVITY ss2170880770 Dec 20, 2016 (150)
69 SYSTEMSBIOZJU ss2624641497 Nov 08, 2017 (151)
70 ILLUMINA ss2632641563 Nov 08, 2017 (151)
71 GRF ss2698294675 Nov 08, 2017 (151)
72 GNOMAD ss2767311933 Nov 08, 2017 (151)
73 SWEGEN ss2988609611 Nov 08, 2017 (151)
74 ILLUMINA ss3021190176 Nov 08, 2017 (151)
75 BIOINF_KMB_FNS_UNIBA ss3023890159 Nov 08, 2017 (151)
76 CSHL ss3343956740 Nov 08, 2017 (151)
77 ILLUMINA ss3626330671 Oct 11, 2018 (152)
78 ILLUMINA ss3630670741 Oct 11, 2018 (152)
79 ILLUMINA ss3633625262 Oct 11, 2018 (152)
80 ILLUMINA ss3634378006 Oct 11, 2018 (152)
81 ILLUMINA ss3635318275 Oct 11, 2018 (152)
82 ILLUMINA ss3636056992 Oct 11, 2018 (152)
83 ILLUMINA ss3637068831 Oct 11, 2018 (152)
84 ILLUMINA ss3637819747 Oct 11, 2018 (152)
85 ILLUMINA ss3640085359 Oct 11, 2018 (152)
86 ILLUMINA ss3642825690 Oct 11, 2018 (152)
87 OMUKHERJEE_ADBS ss3646255200 Oct 11, 2018 (152)
88 URBANLAB ss3646907495 Oct 11, 2018 (152)
89 ILLUMINA ss3651535830 Oct 11, 2018 (152)
90 EGCUT_WGS ss3656568039 Jul 12, 2019 (153)
91 EVA_DECODE ss3688819274 Jul 12, 2019 (153)
92 ILLUMINA ss3725114485 Jul 12, 2019 (153)
93 ACPOP ss3727946144 Jul 12, 2019 (153)
94 ILLUMINA ss3744678853 Jul 12, 2019 (153)
95 EVA ss3747457687 Jul 12, 2019 (153)
96 PAGE_CC ss3770878840 Jul 12, 2019 (153)
97 ILLUMINA ss3772179726 Jul 12, 2019 (153)
98 PACBIO ss3783713147 Jul 12, 2019 (153)
99 PACBIO ss3789321132 Jul 12, 2019 (153)
100 PACBIO ss3794193546 Jul 12, 2019 (153)
101 KHV_HUMAN_GENOMES ss3800459379 Jul 12, 2019 (153)
102 EVA ss3826693735 Apr 25, 2020 (154)
103 EVA ss3836748607 Apr 25, 2020 (154)
104 EVA ss3842161018 Apr 25, 2020 (154)
105 SGDP_PRJ ss3851098776 Apr 25, 2020 (154)
106 KRGDB ss3896445077 Apr 25, 2020 (154)
107 KOGIC ss3946693309 Apr 25, 2020 (154)
108 FSA-LAB ss3983966666 Apr 25, 2021 (155)
109 FSA-LAB ss3983966667 Apr 25, 2021 (155)
110 EVA ss3984473618 Apr 25, 2021 (155)
111 EVA ss3986015958 Apr 25, 2021 (155)
112 TOPMED ss4486958774 Apr 25, 2021 (155)
113 TOMMO_GENOMICS ss5148875931 Apr 25, 2021 (155)
114 1000G_HIGH_COVERAGE ss5246131873 Oct 12, 2022 (156)
115 EVA ss5314689860 Oct 12, 2022 (156)
116 EVA ss5325404631 Oct 12, 2022 (156)
117 HUGCELL_USP ss5446534236 Oct 12, 2022 (156)
118 EVA ss5506224016 Oct 12, 2022 (156)
119 1000G_HIGH_COVERAGE ss5520399143 Oct 12, 2022 (156)
120 SANFORD_IMAGENETICS ss5624232554 Oct 12, 2022 (156)
121 SANFORD_IMAGENETICS ss5627637451 Oct 12, 2022 (156)
122 TOMMO_GENOMICS ss5676765073 Oct 12, 2022 (156)
123 EVA ss5799514638 Oct 12, 2022 (156)
124 YY_MCH ss5801725155 Oct 12, 2022 (156)
125 EVA ss5833398197 Oct 12, 2022 (156)
126 EVA ss5847176313 Oct 12, 2022 (156)
127 EVA ss5847577836 Oct 12, 2022 (156)
128 EVA ss5849328483 Oct 12, 2022 (156)
129 EVA ss5912361211 Oct 12, 2022 (156)
130 EVA ss5939485197 Oct 12, 2022 (156)
131 EVA ss5979308180 Oct 12, 2022 (156)
132 1000Genomes NC_000001.10 - 230849872 Oct 11, 2018 (152)
133 1000Genomes_30x NC_000001.11 - 230714126 Oct 12, 2022 (156)
134 The Avon Longitudinal Study of Parents and Children NC_000001.10 - 230849872 Oct 11, 2018 (152)
135 Genetic variation in the Estonian population NC_000001.10 - 230849872 Oct 11, 2018 (152)
136 The Danish reference pan genome NC_000001.10 - 230849872 Apr 25, 2020 (154)
137 gnomAD - Genomes NC_000001.11 - 230714126 Apr 25, 2021 (155)
138 Genome of the Netherlands Release 5 NC_000001.10 - 230849872 Apr 25, 2020 (154)
139 HapMap NC_000001.11 - 230714126 Apr 25, 2020 (154)
140 KOREAN population from KRGDB NC_000001.10 - 230849872 Apr 25, 2020 (154)
141 Korean Genome Project NC_000001.11 - 230714126 Apr 25, 2020 (154)
142 Northern Sweden NC_000001.10 - 230849872 Jul 12, 2019 (153)
143 The PAGE Study NC_000001.11 - 230714126 Jul 12, 2019 (153)
144 CNV burdens in cranial meningiomas NC_000001.10 - 230849872 Apr 25, 2021 (155)
145 PharmGKB Aggregated NC_000001.11 - 230714126 Apr 25, 2020 (154)
146 Qatari NC_000001.10 - 230849872 Apr 25, 2020 (154)
147 SGDP_PRJ NC_000001.10 - 230849872 Apr 25, 2020 (154)
148 Siberian NC_000001.10 - 230849872 Apr 25, 2020 (154)
149 8.3KJPN NC_000001.10 - 230849872 Apr 25, 2021 (155)
150 14KJPN NC_000001.11 - 230714126 Oct 12, 2022 (156)
151 TopMed NC_000001.11 - 230714126 Apr 25, 2021 (155)
152 UK 10K study - Twins NC_000001.10 - 230849872 Oct 11, 2018 (152)
153 ALFA NC_000001.11 - 230714126 Apr 25, 2021 (155)
154 ClinVar RCV000262949.5 Oct 12, 2022 (156)
155 ClinVar RCV000835696.3 Oct 12, 2022 (156)
156 ClinVar RCV002221221.3 Oct 12, 2022 (156)
157 ClinVar RCV002221222.3 Oct 12, 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)
rs3789681 Oct 08, 2002 (108)
rs16852405 Oct 07, 2004 (123)
rs36218427 Oct 25, 2006 (127)
rs60366145 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
3622471, ss3896445077 NC_000001.10:230849871:C:A NC_000001.11:230714125:C:A (self)
ss24806983 NT_167186.1:24367650:C:A NC_000001.11:230714125:C:A (self)
3622471, ss3896445077 NC_000001.10:230849871:C:G NC_000001.11:230714125:C:G (self)
1778314727 NC_000001.11:230714125:C:G NC_000001.11:230714125:C:G (self)
ss24806983 NT_167186.1:24367650:C:G NC_000001.11:230714125:C:G (self)
ss84297747, ss85127755, ss86137296 NC_000001.8:227156606:C:T NC_000001.11:230714125:C:T (self)
ss109021237, ss111914271, ss119241050, ss165369094, ss167558920, ss199729377, ss253884131, ss276256145, ss290753216, ss481131082, ss1585645968, ss1712412884, ss3642825690 NC_000001.9:228916494:C:T NC_000001.11:230714125:C:T (self)
5903556, 3264201, 2306287, 1925495, 1426420, 3622471, 1231009, 22939, 1509645, 3115756, 811193, 6845238, 3264201, ss454729631, ss481153107, ss482142643, ss485360564, ss537304992, ss555199776, ss648772961, ss778707188, ss783125969, ss784082581, ss832384810, ss834166278, ss976246045, ss1068678342, ss1295035070, ss1426140710, ss1574742379, ss1602344839, ss1645338872, ss1751904349, ss1795862201, ss1919467715, ss1958366186, ss1966996830, ss2020259095, ss2148294839, ss2624641497, ss2632641563, ss2698294675, ss2767311933, ss2988609611, ss3021190176, ss3343956740, ss3626330671, ss3630670741, ss3633625262, ss3634378006, ss3635318275, ss3636056992, ss3637068831, ss3637819747, ss3640085359, ss3646255200, ss3651535830, ss3656568039, ss3727946144, ss3744678853, ss3747457687, ss3772179726, ss3783713147, ss3789321132, ss3794193546, ss3826693735, ss3836748607, ss3851098776, ss3896445077, ss3983966666, ss3983966667, ss3984473618, ss3986015958, ss5148875931, ss5314689860, ss5325404631, ss5506224016, ss5624232554, ss5627637451, ss5799514638, ss5833398197, ss5847176313, ss5847577836, ss5939485197, ss5979308180 NC_000001.10:230849871:C:T NC_000001.11:230714125:C:T (self)
RCV000262949.5, RCV000835696.3, RCV002221221.3, RCV002221222.3, 7925078, 42362197, 288094, 3071310, 100309, 931, 10602177, 50565109, 1778314727, ss2170880770, ss3023890159, ss3646907495, ss3688819274, ss3725114485, ss3770878840, ss3800459379, ss3842161018, ss3946693309, ss4486958774, ss5246131873, ss5446534236, ss5520399143, ss5676765073, ss5801725155, ss5849328483, ss5912361211 NC_000001.11:230714125:C:T NC_000001.11:230714125:C:T (self)
ss11397726 NT_021973.15:780860:C:T NC_000001.11:230714125:C:T (self)
ss16418328, ss20566154 NT_021973.16:780860:C:T NC_000001.11:230714125:C:T (self)
ss6495, ss1471227, ss3498219, ss4976051, ss16338934, ss22886624, ss28460766, ss43816751, ss51853112, ss75124512, ss76867055, ss84151202, ss84151221, ss86211282, ss86215611, ss102830773, ss119337518, ss160737663, ss161227514, ss173908246, ss244302764, ss469996493 NT_167186.1:24367650:C:T NC_000001.11:230714125: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.

32 citations for rs5051
PMID Title Author Year Journal
9120024 A nucleotide substitution in the promoter of human angiotensinogen is associated with essential hypertension and affects basal transcription in vitro. Inoue I et al. 1997 The Journal of clinical investigation
12743009 Angiotensinogen single nucleotide polymorphisms, elevated blood pressure, and risk of cardiovascular disease. Sethi AA et al. 2003 Hypertension (Dallas, Tex.
16286570 A population association study of angiotensinogen polymorphisms and haplotypes with left ventricular phenotypes. Rasmussen-Torvik LJ et al. 2005 Hypertension (Dallas, Tex.
18076107 Confronting complexity in late-onset Alzheimer disease: application of two-stage analysis approach addressing heterogeneity and epistasis. Thornton-Wells TA et al. 2008 Genetic epidemiology
19105203 An association analysis of Alzheimer disease candidate genes detects an ancestral risk haplotype clade in ACE and putative multilocus association between ACE, A2M, and LRRTM3. Edwards TL et al. 2009 American journal of medical genetics. Part B, Neuropsychiatric genetics
19770777 Genotype-phenotype analysis of angiotensinogen polymorphisms and essential hypertension: the importance of haplotypes. Watkins WS et al. 2010 Journal of hypertension
20047954 Variants in blood pressure genes and the risk of renal cell carcinoma. Andreotti G et al. 2010 Carcinogenesis
20577119 Pharmacogenetic association of hypertension candidate genes with fasting glucose in the GenHAT Study. Irvin MR et al. 2010 Journal of hypertension
20591971 Gene-environment interaction for hypertension among African American women across generations. Taylor JY et al. 2010 Biological research for nursing
20808897 Disease-associated mutations that alter the RNA structural ensemble. Halvorsen M et al. 2010 PLoS genetics
20952631 Association of single-nucleotide polymorphisms from 17 candidate genes with baseline symptom-limited exercise test duration and decrease in duration over 20 years: the Coronary Artery Risk Development in Young Adults (CARDIA) fitness study. Sarzynski MA et al. 2010 Circulation. Cardiovascular genetics
21056700 Lack of replication in polymorphisms reported to be associated with atrial fibrillation. Sinner MF et al. 2011 Heart rhythm
21306748 The association of the angiotensinogen gene with insulin sensitivity in humans: a tagging single nucleotide polymorphism and haplotype approach. Underwood PC et al. 2011 Metabolism
21859746 Genetic and BMI risks for predicting blood pressure in three generations of West African Dogon women. Taylor JY et al. 2013 Biological research for nursing
22388798 Gene panels to help identify subgroups at high and low risk of coronary heart disease among those randomized to antihypertensive treatment: the GenHAT study. Lynch AI et al. 2012 Pharmacogenetics and genomics
23036011 Shared ancestral susceptibility to colorectal cancer and other nutrition related diseases. Huhn S et al. 2012 BMC medical genetics
23497168 Omega-3 fatty acids, polymorphisms and lipid related cardiovascular disease risk factors in the Inuit population. Rudkowska I et al. 2013 Nutrition & metabolism
23716723 The relationship between angiotensinogen gene polymorphisms and essential hypertension in a Northern Han Chinese population. Li H et al. 2014 Angiology
24722536 Relationship of renin-angiotensin-aldosterone system polymorphisms and phenotypes to mortality in Chinese coronary atherosclerosis patients. Jia EZ et al. 2014 Scientific reports
25361584 Subgroups at high risk for ischaemic heart disease:identification and validation in 67 000 individuals from the general population. Frikke-Schmidt R et al. 2015 International journal of epidemiology
25723521 Polymorphisms of renin-angiotensin-aldosterone system gene in chinese han patients with nonfamilial atrial fibrillation. Zhao LQ et al. 2015 PloS one
26102248 The C4280A (rs5705) gene polymorphism of the renin (REN) gene is associated with risk of developing coronary artery disease, but not with restenosis after coronary stenting. Fragoso JM et al. 2015 Experimental and molecular pathology
26142106 Epistatic interaction between common AGT G(-6)A (rs5051) and AGTR1 A1166C (rs5186) variants contributes to variation in kidney size at birth. Kaczmarczyk M et al. 2015 Gene
26791477 The effects of genes implicated in cardiovascular disease on blood pressure response to treatment among treatment-naive hypertensive African Americans in the GenHAT study. Do AN et al. 2016 Journal of human hypertension
27240348 Association of Genetic Polymorphisms of Renin-Angiotensin-Aldosterone System-Related Genes with Arterio-Venous Fistula Malfunction in Hemodialysis Patients. Chen YW et al. 2016 International journal of molecular sciences
27342049 AGTR1 rs3772622 gene polymorphism increase the risk of nonalcoholic fatty liver disease patients suffer coronary artery disease in Northern Chinese Han population. Liu Y et al. 2016 Lipids in health and disease
28881807 Associations of high altitude polycythemia with polymorphisms in EPHA2 and AGT in Chinese Han and Tibetan populations. Liu L et al. 2017 Oncotarget
29627490 Genetically determined enlargement of carotid body evaluated using computed angiotomography. Jaźwiec P et al. 2018 Respiratory physiology & neurobiology
30478747 Development and application of low-cost T-ARMS-PCR assay for AGT and CYP11B1 gene polymorphisms. Hussain M et al. 2019 Molecular biology reports
31484268 [Association between both maternal and fetal angiotensinogen gene single nucleotide polymorphism and preeclampsia/eclampsia]. Yu SJ et al. 2019 Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
34933429 [AGT rs5051 gene polymorphism increases the risk of coronary heart disease in patients with non-alcoholic fatty liver disease in the Han Chinese population]. Dong MZ et al. 2021 Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology
35886041 The Genetic Variants in the Renin-Angiotensin System and the Risk of Heart Failure in Polish Patients. Gorący I et al. 2022 Genes
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.post825+45319f0