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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.

Reference SNP (rs) Report

This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.

rs572169

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr3:172447937 (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>T
Variation Type
SNV Single Nucleotide Variation
Frequency
T=0.295048 (106009/359294, ALFA)
T=0.245147 (64888/264690, TOPMED)
T=0.307829 (77121/250532, GnomAD_exome) (+ 27 more)
T=0.244986 (34322/140098, GnomAD)
T=0.301768 (36386/120576, ExAC)
T=0.23347 (18327/78498, PAGE_STUDY)
T=0.41217 (11647/28258, 14KJPN)
T=0.41366 (6933/16760, 8.3KJPN)
T=0.23059 (2999/13006, GO-ESP)
T=0.2325 (1489/6404, 1000G_30x)
T=0.2380 (1192/5008, 1000G)
T=0.2962 (1327/4480, Estonian)
T=0.3153 (1215/3854, ALSPAC)
T=0.3093 (1147/3708, TWINSUK)
T=0.4532 (1327/2928, KOREAN)
T=0.3057 (637/2084, HGDP_Stanford)
T=0.4672 (856/1832, Korea1K)
T=0.2012 (334/1660, HapMap)
T=0.3092 (350/1132, Daghestan)
T=0.336 (335/998, GoNL)
T=0.481 (379/788, PRJEB37584)
T=0.378 (227/600, NorthernSweden)
T=0.328 (177/540, Vietnamese)
T=0.137 (73/534, MGP)
T=0.311 (94/302, FINRISK)
C=0.361 (104/288, SGDP_PRJ)
T=0.111 (24/216, Qatari)
T=0.02 (2/84, Ancient Sardinia)
T=0.17 (7/40, GENOME_DK)
C=0.39 (14/36, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
GHSR : Synonymous Variant
Publications
15 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 375652 C=0.707184 T=0.292816 0.505771 0.091404 0.402825 32
European Sub 316118 C=0.701978 T=0.298022 0.495245 0.091289 0.413466 12
African Sub 16070 C=0.90498 T=0.09502 0.820784 0.010828 0.168388 2
African Others Sub 594 C=0.961 T=0.039 0.922559 0.0 0.077441 0
African American Sub 15476 C=0.90282 T=0.09718 0.816878 0.011243 0.171879 2
Asian Sub 6868 C=0.5345 T=0.4655 0.290623 0.221607 0.487769 1
East Asian Sub 4904 C=0.5316 T=0.4684 0.285073 0.22186 0.493067 0
Other Asian Sub 1964 C=0.5418 T=0.4582 0.304481 0.220978 0.474542 1
Latin American 1 Sub 1474 C=0.7883 T=0.2117 0.617368 0.040706 0.341927 0
Latin American 2 Sub 7218 C=0.6135 T=0.3865 0.377667 0.150734 0.471599 0
South Asian Sub 5220 C=0.7640 T=0.2360 0.592337 0.064368 0.343295 4
Other Sub 22684 C=0.70336 T=0.29664 0.508023 0.101305 0.390672 25


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
Allele Frequency Aggregator Total Global 359294 C=0.704952 T=0.295048
Allele Frequency Aggregator European Sub 306044 C=0.702543 T=0.297457
Allele Frequency Aggregator Other Sub 21238 C=0.70148 T=0.29852
Allele Frequency Aggregator African Sub 11232 C=0.90180 T=0.09820
Allele Frequency Aggregator Latin American 2 Sub 7218 C=0.6135 T=0.3865
Allele Frequency Aggregator Asian Sub 6868 C=0.5345 T=0.4655
Allele Frequency Aggregator South Asian Sub 5220 C=0.7640 T=0.2360
Allele Frequency Aggregator Latin American 1 Sub 1474 C=0.7883 T=0.2117
TopMed Global Study-wide 264690 C=0.754853 T=0.245147
gnomAD - Exomes Global Study-wide 250532 C=0.692171 T=0.307829
gnomAD - Exomes European Sub 134716 C=0.687149 T=0.312851
gnomAD - Exomes Asian Sub 48968 C=0.68398 T=0.31602
gnomAD - Exomes American Sub 34516 C=0.57849 T=0.42151
gnomAD - Exomes African Sub 16162 C=0.91709 T=0.08291
gnomAD - Exomes Ashkenazi Jewish Sub 10052 C=0.80969 T=0.19031
gnomAD - Exomes Other Sub 6118 C=0.7225 T=0.2775
gnomAD - Genomes Global Study-wide 140098 C=0.755014 T=0.244986
gnomAD - Genomes European Sub 75842 C=0.68500 T=0.31500
gnomAD - Genomes African Sub 42022 C=0.91447 T=0.08553
gnomAD - Genomes American Sub 13644 C=0.68668 T=0.31332
gnomAD - Genomes Ashkenazi Jewish Sub 3324 C=0.8051 T=0.1949
gnomAD - Genomes East Asian Sub 3120 C=0.5564 T=0.4436
gnomAD - Genomes Other Sub 2146 C=0.7526 T=0.2474
ExAC Global Study-wide 120576 C=0.698232 T=0.301768
ExAC Europe Sub 72844 C=0.69081 T=0.30919
ExAC Asian Sub 25106 C=0.69059 T=0.30941
ExAC American Sub 11506 C=0.56562 T=0.43438
ExAC African Sub 10222 C=0.91616 T=0.08384
ExAC Other Sub 898 C=0.733 T=0.267
The PAGE Study Global Study-wide 78498 C=0.76653 T=0.23347
The PAGE Study AfricanAmerican Sub 32382 C=0.90322 T=0.09678
The PAGE Study Mexican Sub 10802 C=0.59887 T=0.40113
The PAGE Study Asian Sub 8310 C=0.5931 T=0.4069
The PAGE Study PuertoRican Sub 7902 C=0.7956 T=0.2044
The PAGE Study NativeHawaiian Sub 4524 C=0.5294 T=0.4706
The PAGE Study Cuban Sub 4226 C=0.7683 T=0.2317
The PAGE Study Dominican Sub 3818 C=0.8347 T=0.1653
The PAGE Study CentralAmerican Sub 2448 C=0.6511 T=0.3489
The PAGE Study SouthAmerican Sub 1976 C=0.6827 T=0.3173
The PAGE Study NativeAmerican Sub 1260 C=0.6587 T=0.3413
The PAGE Study SouthAsian Sub 850 C=0.748 T=0.252
14KJPN JAPANESE Study-wide 28258 C=0.58783 T=0.41217
8.3KJPN JAPANESE Study-wide 16760 C=0.58634 T=0.41366
GO Exome Sequencing Project Global Study-wide 13006 C=0.76941 T=0.23059
GO Exome Sequencing Project European American Sub 8600 C=0.6963 T=0.3037
GO Exome Sequencing Project African American Sub 4406 C=0.9122 T=0.0878
1000Genomes_30x Global Study-wide 6404 C=0.7675 T=0.2325
1000Genomes_30x African Sub 1786 C=0.9446 T=0.0554
1000Genomes_30x Europe Sub 1266 C=0.7283 T=0.2717
1000Genomes_30x South Asian Sub 1202 C=0.7829 T=0.2171
1000Genomes_30x East Asian Sub 1170 C=0.5735 T=0.4265
1000Genomes_30x American Sub 980 C=0.708 T=0.292
1000Genomes Global Study-wide 5008 C=0.7620 T=0.2380
1000Genomes African Sub 1322 C=0.9440 T=0.0560
1000Genomes East Asian Sub 1008 C=0.5764 T=0.4236
1000Genomes Europe Sub 1006 C=0.7237 T=0.2763
1000Genomes South Asian Sub 978 C=0.782 T=0.218
1000Genomes American Sub 694 C=0.712 T=0.288
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.7038 T=0.2962
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.6847 T=0.3153
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.6907 T=0.3093
KOREAN population from KRGDB KOREAN Study-wide 2928 C=0.5468 T=0.4532
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 C=0.6943 T=0.3057
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 C=0.521 T=0.479
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 C=0.720 T=0.280
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 C=0.771 T=0.229
HGDP-CEPH-db Supplement 1 Europe Sub 320 C=0.716 T=0.284
HGDP-CEPH-db Supplement 1 Africa Sub 242 C=0.930 T=0.070
HGDP-CEPH-db Supplement 1 America Sub 216 C=0.699 T=0.301
HGDP-CEPH-db Supplement 1 Oceania Sub 72 C=0.40 T=0.60
Korean Genome Project KOREAN Study-wide 1832 C=0.5328 T=0.4672
HapMap Global Study-wide 1660 C=0.7988 T=0.2012
HapMap African Sub 686 C=0.929 T=0.071
HapMap American Sub 544 C=0.733 T=0.267
HapMap Asian Sub 254 C=0.618 T=0.382
HapMap Europe Sub 176 C=0.756 T=0.244
Genome-wide autozygosity in Daghestan Global Study-wide 1132 C=0.6908 T=0.3092
Genome-wide autozygosity in Daghestan Daghestan Sub 624 C=0.639 T=0.361
Genome-wide autozygosity in Daghestan Near_East Sub 144 C=0.771 T=0.229
Genome-wide autozygosity in Daghestan Central Asia Sub 122 C=0.664 T=0.336
Genome-wide autozygosity in Daghestan Europe Sub 108 C=0.741 T=0.259
Genome-wide autozygosity in Daghestan South Asian Sub 98 C=0.85 T=0.15
Genome-wide autozygosity in Daghestan Caucasus Sub 36 C=0.78 T=0.22
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.664 T=0.336
CNV burdens in cranial meningiomas Global Study-wide 788 C=0.519 T=0.481
CNV burdens in cranial meningiomas CRM Sub 788 C=0.519 T=0.481
Northern Sweden ACPOP Study-wide 600 C=0.622 T=0.378
A Vietnamese Genetic Variation Database Global Study-wide 540 C=0.672 T=0.328
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 C=0.863 T=0.137
FINRISK Finnish from FINRISK project Study-wide 302 C=0.689 T=0.311
SGDP_PRJ Global Study-wide 288 C=0.361 T=0.639
Qatari Global Study-wide 216 C=0.889 T=0.111
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 84 C=0.98 T=0.02
The Danish reference pan genome Danish Study-wide 40 C=0.82 T=0.17
Siberian Global Study-wide 36 C=0.39 T=0.61
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 3 NC_000003.12:g.172447937C>T
GRCh37.p13 chr 3 NC_000003.11:g.172165727C>T
GHSR RefSeqGene NG_021159.1:g.5520G>A
Gene: GHSR, growth hormone secretagogue receptor (minus strand)
Molecule type Change Amino acid[Codon] SO Term
GHSR transcript variant 1a NM_198407.2:c.477G>A R [CGG] > R [CGA] Coding Sequence Variant
growth hormone secretagogue receptor type 1 isoform 1a NP_940799.1:p.Arg159= R (Arg) > R (Arg) Synonymous Variant
GHSR transcript variant 1b NM_004122.2:c.477G>A R [CGG] > R [CGA] Coding Sequence Variant
growth hormone secretagogue receptor type 1 isoform 1b NP_004113.1:p.Arg159= R (Arg) > R (Arg) Synonymous 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: 251009 )
ClinVar Accession Disease Names Clinical Significance
RCV000249477.1 not specified Benign
RCV000347022.5 Short stature due to growth hormone secretagogue receptor deficiency Benign
RCV001723864.4 not provided Benign
Help

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

Placement C= T
GRCh38.p14 chr 3 NC_000003.12:g.172447937= NC_000003.12:g.172447937C>T
GRCh37.p13 chr 3 NC_000003.11:g.172165727= NC_000003.11:g.172165727C>T
GHSR RefSeqGene NG_021159.1:g.5520= NG_021159.1:g.5520G>A
GHSR transcript variant 1a NM_198407.2:c.477= NM_198407.2:c.477G>A
GHSR transcript variant 1b NM_004122.2:c.477= NM_004122.2:c.477G>A
growth hormone secretagogue receptor type 1 isoform 1a NP_940799.1:p.Arg159= NP_940799.1:p.Arg159=
growth hormone secretagogue receptor type 1 isoform 1b NP_004113.1:p.Arg159= NP_004113.1:p.Arg159=
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#.

174 SubSNP, 30 Frequency, 3 ClinVar submissions
No Submitter Submission ID Date (Build)
1 SC_JCM ss743520 Aug 11, 2000 (83)
2 KWOK ss1177165 Oct 04, 2000 (86)
3 KWOK ss2022813 Oct 18, 2000 (87)
4 TSC-CSHL ss2362009 Oct 23, 2000 (88)
5 SC_JCM ss2491893 Nov 09, 2000 (92)
6 YUSUKE ss3198813 Aug 15, 2001 (98)
7 SC_JCM ss4156524 Nov 05, 2001 (101)
8 TSC-CSHL ss5566780 Oct 08, 2002 (108)
9 HG_BONN_CNS_SNPS ss12587070 Aug 26, 2003 (117)
10 PERLEGEN ss23933082 Sep 20, 2004 (123)
11 ABI ss44463049 Mar 13, 2006 (126)
12 IMCJ-GDT ss46563952 Mar 13, 2006 (126)
13 APPLERA_GI ss48417339 Mar 13, 2006 (126)
14 ILLUMINA ss67419257 Dec 01, 2006 (127)
15 ILLUMINA ss67780723 Dec 01, 2006 (127)
16 ILLUMINA ss68244062 Dec 12, 2006 (127)
17 ILLUMINA ss70846462 May 27, 2008 (130)
18 ILLUMINA ss71431130 May 17, 2007 (127)
19 ILLUMINA ss75517983 Dec 07, 2007 (129)
20 KRIBB_YJKIM ss83486711 Dec 16, 2007 (130)
21 1000GENOMES ss112695951 Jan 25, 2009 (130)
22 ENSEMBL ss139714548 Dec 01, 2009 (131)
23 ILLUMINA ss154340271 Dec 01, 2009 (131)
24 GMI ss156508966 Dec 01, 2009 (131)
25 ILLUMINA ss159516849 Dec 01, 2009 (131)
26 SEATTLESEQ ss159706535 Dec 01, 2009 (131)
27 ILLUMINA ss160744457 Dec 01, 2009 (131)
28 ILLUMINA ss173924966 Jul 04, 2010 (132)
29 1000GENOMES ss220582234 Jul 14, 2010 (132)
30 1000GENOMES ss232145153 Jul 14, 2010 (132)
31 1000GENOMES ss239492063 Jul 15, 2010 (132)
32 ILLUMINA ss244303262 Jul 04, 2010 (132)
33 GMI ss277458531 May 04, 2012 (137)
34 PJP ss292975174 May 09, 2011 (134)
35 NHLBI-ESP ss342152280 May 09, 2011 (134)
36 ILLUMINA ss410939002 Sep 17, 2011 (135)
37 ILLUMINA ss481152658 May 04, 2012 (137)
38 ILLUMINA ss481174978 May 04, 2012 (137)
39 ILLUMINA ss482163345 Sep 08, 2015 (146)
40 ILLUMINA ss485371509 May 04, 2012 (137)
41 1000GENOMES ss490878092 May 04, 2012 (137)
42 GSK-GENETICS ss491268996 May 04, 2012 (137)
43 EXOME_CHIP ss491348990 May 04, 2012 (137)
44 CLINSEQ_SNP ss491845525 May 04, 2012 (137)
45 ILLUMINA ss537312926 Sep 08, 2015 (146)
46 SSMP ss650865126 Apr 25, 2013 (138)
47 ILLUMINA ss778930311 Aug 21, 2014 (142)
48 ILLUMINA ss780685637 Aug 21, 2014 (142)
49 ILLUMINA ss783131363 Aug 21, 2014 (142)
50 ILLUMINA ss783359133 Aug 21, 2014 (142)
51 ILLUMINA ss784087857 Aug 21, 2014 (142)
52 ILLUMINA ss832390264 Apr 01, 2015 (144)
53 ILLUMINA ss833028139 Aug 21, 2014 (142)
54 ILLUMINA ss833618967 Aug 21, 2014 (142)
55 ILLUMINA ss834391842 Aug 21, 2014 (142)
56 JMKIDD_LAB ss974450694 Aug 21, 2014 (142)
57 EVA-GONL ss979461332 Aug 21, 2014 (142)
58 JMKIDD_LAB ss1067457041 Aug 21, 2014 (142)
59 JMKIDD_LAB ss1071058309 Aug 21, 2014 (142)
60 1000GENOMES ss1307294359 Aug 21, 2014 (142)
61 HAMMER_LAB ss1397359374 Sep 08, 2015 (146)
62 DDI ss1429673740 Apr 01, 2015 (144)
63 EVA_GENOME_DK ss1580298531 Apr 01, 2015 (144)
64 EVA_FINRISK ss1584031609 Apr 01, 2015 (144)
65 EVA_DECODE ss1588955988 Apr 01, 2015 (144)
66 EVA_UK10K_ALSPAC ss1608816643 Apr 01, 2015 (144)
67 EVA_UK10K_TWINSUK ss1651810676 Apr 01, 2015 (144)
68 EVA_EXAC ss1687295674 Apr 01, 2015 (144)
69 EVA_MGP ss1711041404 Apr 01, 2015 (144)
70 EVA_SVP ss1712631981 Apr 01, 2015 (144)
71 ILLUMINA ss1752452750 Sep 08, 2015 (146)
72 ILLUMINA ss1752452751 Sep 08, 2015 (146)
73 ILLUMINA ss1917775164 Feb 12, 2016 (147)
74 WEILL_CORNELL_DGM ss1922681545 Feb 12, 2016 (147)
75 ILLUMINA ss1946102494 Feb 12, 2016 (147)
76 ILLUMINA ss1958629061 Feb 12, 2016 (147)
77 GENOMED ss1969591034 Jul 19, 2016 (147)
78 JJLAB ss2021916147 Sep 14, 2016 (149)
79 USC_VALOUEV ss2150013687 Dec 20, 2016 (150)
80 HUMAN_LONGEVITY ss2258207228 Dec 20, 2016 (150)
81 SYSTEMSBIOZJU ss2625457563 Nov 08, 2017 (151)
82 ILLUMINA ss2634044434 Nov 08, 2017 (151)
83 ILLUMINA ss2634044435 Nov 08, 2017 (151)
84 GRF ss2705434402 Nov 08, 2017 (151)
85 GNOMAD ss2734203843 Nov 08, 2017 (151)
86 GNOMAD ss2747140528 Nov 08, 2017 (151)
87 GNOMAD ss2802394761 Nov 08, 2017 (151)
88 AFFY ss2985276625 Nov 08, 2017 (151)
89 AFFY ss2985901187 Nov 08, 2017 (151)
90 SWEGEN ss2993651418 Nov 08, 2017 (151)
91 ILLUMINA ss3022313879 Nov 08, 2017 (151)
92 EVA_SAMSUNG_MC ss3023059960 Nov 08, 2017 (151)
93 BIOINF_KMB_FNS_UNIBA ss3024726522 Nov 08, 2017 (151)
94 CSHL ss3345398105 Nov 08, 2017 (151)
95 ILLUMINA ss3628836860 Oct 12, 2018 (152)
96 ILLUMINA ss3628836861 Oct 12, 2018 (152)
97 ILLUMINA ss3631985656 Oct 12, 2018 (152)
98 ILLUMINA ss3633317129 Oct 12, 2018 (152)
99 ILLUMINA ss3634035222 Oct 12, 2018 (152)
100 ILLUMINA ss3634928408 Oct 12, 2018 (152)
101 ILLUMINA ss3634928409 Oct 12, 2018 (152)
102 ILLUMINA ss3635718600 Oct 12, 2018 (152)
103 ILLUMINA ss3636626359 Oct 12, 2018 (152)
104 ILLUMINA ss3637471038 Oct 12, 2018 (152)
105 ILLUMINA ss3638456618 Oct 12, 2018 (152)
106 ILLUMINA ss3639231036 Oct 12, 2018 (152)
107 ILLUMINA ss3639915378 Oct 12, 2018 (152)
108 ILLUMINA ss3640635705 Oct 12, 2018 (152)
109 ILLUMINA ss3640635706 Oct 12, 2018 (152)
110 ILLUMINA ss3643410332 Oct 12, 2018 (152)
111 ILLUMINA ss3643961945 Oct 12, 2018 (152)
112 ILLUMINA ss3644835154 Oct 12, 2018 (152)
113 OMUKHERJEE_ADBS ss3646295752 Oct 12, 2018 (152)
114 URBANLAB ss3647587285 Oct 12, 2018 (152)
115 ILLUMINA ss3652794834 Oct 12, 2018 (152)
116 ILLUMINA ss3654046549 Oct 12, 2018 (152)
117 EGCUT_WGS ss3661600678 Jul 13, 2019 (153)
118 EVA_DECODE ss3710837125 Jul 13, 2019 (153)
119 ACPOP ss3730597582 Jul 13, 2019 (153)
120 ILLUMINA ss3744518760 Jul 13, 2019 (153)
121 ILLUMINA ss3745228388 Jul 13, 2019 (153)
122 ILLUMINA ss3745228389 Jul 13, 2019 (153)
123 EVA ss3761042261 Jul 13, 2019 (153)
124 PAGE_CC ss3771083327 Jul 13, 2019 (153)
125 ILLUMINA ss3772723544 Jul 13, 2019 (153)
126 ILLUMINA ss3772723545 Jul 13, 2019 (153)
127 KHV_HUMAN_GENOMES ss3804177499 Jul 13, 2019 (153)
128 EVA ss3823974671 Apr 25, 2020 (154)
129 EVA ss3825521236 Apr 25, 2020 (154)
130 EVA ss3825537755 Apr 25, 2020 (154)
131 EVA ss3825646916 Apr 25, 2020 (154)
132 EVA ss3828220699 Apr 25, 2020 (154)
133 EVA ss3837543435 Apr 25, 2020 (154)
134 EVA ss3842975560 Apr 25, 2020 (154)
135 HGDP ss3847732378 Apr 25, 2020 (154)
136 SGDP_PRJ ss3857570047 Apr 25, 2020 (154)
137 KRGDB ss3903643048 Apr 25, 2020 (154)
138 KOGIC ss3952953049 Apr 25, 2020 (154)
139 FSA-LAB ss3984268155 Apr 26, 2021 (155)
140 FSA-LAB ss3984268156 Apr 26, 2021 (155)
141 EVA ss3984519237 Apr 26, 2021 (155)
142 EVA ss3985037127 Apr 26, 2021 (155)
143 EVA ss3986025461 Apr 26, 2021 (155)
144 EVA ss3986261937 Apr 26, 2021 (155)
145 EVA ss4017119327 Apr 26, 2021 (155)
146 TOPMED ss4593579307 Apr 26, 2021 (155)
147 TOMMO_GENOMICS ss5162866837 Apr 26, 2021 (155)
148 EVA ss5237002012 Apr 26, 2021 (155)
149 EVA ss5237179502 Apr 26, 2021 (155)
150 EVA ss5237640835 Oct 12, 2022 (156)
151 1000G_HIGH_COVERAGE ss5257018507 Oct 12, 2022 (156)
152 TRAN_CS_UWATERLOO ss5314408788 Oct 12, 2022 (156)
153 EVA ss5314912448 Oct 12, 2022 (156)
154 EVA ss5345083508 Oct 12, 2022 (156)
155 HUGCELL_USP ss5456063032 Oct 12, 2022 (156)
156 EVA ss5507312657 Oct 12, 2022 (156)
157 1000G_HIGH_COVERAGE ss5536986575 Oct 12, 2022 (156)
158 EVA ss5624134053 Oct 12, 2022 (156)
159 SANFORD_IMAGENETICS ss5624538814 Oct 12, 2022 (156)
160 SANFORD_IMAGENETICS ss5633758639 Oct 12, 2022 (156)
161 TOMMO_GENOMICS ss5696111965 Oct 12, 2022 (156)
162 EVA ss5799599713 Oct 12, 2022 (156)
163 EVA ss5800111180 Oct 12, 2022 (156)
164 YY_MCH ss5804494566 Oct 12, 2022 (156)
165 EVA ss5826863849 Oct 12, 2022 (156)
166 EVA ss5847231117 Oct 12, 2022 (156)
167 EVA ss5847990899 Oct 12, 2022 (156)
168 EVA ss5848597312 Oct 12, 2022 (156)
169 EVA ss5853961485 Oct 12, 2022 (156)
170 EVA ss5872143153 Oct 12, 2022 (156)
171 EVA ss5962135580 Oct 12, 2022 (156)
172 EVA ss5979680330 Oct 12, 2022 (156)
173 EVA ss5980187244 Oct 12, 2022 (156)
174 EVA ss5981218973 Oct 12, 2022 (156)
175 1000Genomes NC_000003.11 - 172165727 Oct 12, 2018 (152)
176 1000Genomes_30x NC_000003.12 - 172447937 Oct 12, 2022 (156)
177 The Avon Longitudinal Study of Parents and Children NC_000003.11 - 172165727 Oct 12, 2018 (152)
178 Genome-wide autozygosity in Daghestan NC_000003.10 - 173648421 Apr 25, 2020 (154)
179 Genetic variation in the Estonian population NC_000003.11 - 172165727 Oct 12, 2018 (152)
180 ExAC NC_000003.11 - 172165727 Oct 12, 2018 (152)
181 FINRISK NC_000003.11 - 172165727 Apr 25, 2020 (154)
182 The Danish reference pan genome NC_000003.11 - 172165727 Apr 25, 2020 (154)
183 gnomAD - Genomes NC_000003.12 - 172447937 Apr 26, 2021 (155)
184 gnomAD - Exomes NC_000003.11 - 172165727 Jul 13, 2019 (153)
185 GO Exome Sequencing Project NC_000003.11 - 172165727 Oct 12, 2018 (152)
186 Genome of the Netherlands Release 5 NC_000003.11 - 172165727 Apr 25, 2020 (154)
187 HGDP-CEPH-db Supplement 1 NC_000003.10 - 173648421 Apr 25, 2020 (154)
188 HapMap NC_000003.12 - 172447937 Apr 25, 2020 (154)
189 KOREAN population from KRGDB NC_000003.11 - 172165727 Apr 25, 2020 (154)
190 Korean Genome Project NC_000003.12 - 172447937 Apr 25, 2020 (154)
191 Medical Genome Project healthy controls from Spanish population NC_000003.11 - 172165727 Apr 25, 2020 (154)
192 Northern Sweden NC_000003.11 - 172165727 Jul 13, 2019 (153)
193 The PAGE Study NC_000003.12 - 172447937 Jul 13, 2019 (153)
194 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000003.11 - 172165727 Apr 26, 2021 (155)
195 CNV burdens in cranial meningiomas NC_000003.11 - 172165727 Apr 26, 2021 (155)
196 Qatari NC_000003.11 - 172165727 Apr 25, 2020 (154)
197 SGDP_PRJ NC_000003.11 - 172165727 Apr 25, 2020 (154)
198 Siberian NC_000003.11 - 172165727 Apr 25, 2020 (154)
199 8.3KJPN NC_000003.11 - 172165727 Apr 26, 2021 (155)
200 14KJPN NC_000003.12 - 172447937 Oct 12, 2022 (156)
201 TopMed NC_000003.12 - 172447937 Apr 26, 2021 (155)
202 UK 10K study - Twins NC_000003.11 - 172165727 Oct 12, 2018 (152)
203 A Vietnamese Genetic Variation Database NC_000003.11 - 172165727 Jul 13, 2019 (153)
204 ALFA NC_000003.12 - 172447937 Apr 26, 2021 (155)
205 ClinVar RCV000249477.1 Oct 12, 2018 (152)
206 ClinVar RCV000347022.5 Oct 12, 2022 (156)
207 ClinVar RCV001723864.4 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)
rs1666047 Jan 18, 2001 (92)
rs61504146 May 27, 2008 (130)
rs386599530 Aug 21, 2014 (142)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss3639231036, ss3639915378, ss3643961945 NC_000003.9:173648428:C:T NC_000003.12:172447936:C:T (self)
335098, 410270, ss112695951, ss277458531, ss292975174, ss410939002, ss481152658, ss491268996, ss491845525, ss1397359374, ss1588955988, ss1712631981, ss3643410332, ss3847732378 NC_000003.10:173648420:C:T NC_000003.12:172447936:C:T (self)
18601441, 10365189, 7338926, 7242666, 28070, 6463470, 3296363, 432948, 4555607, 10820442, 157164, 3882447, 263054, 68590, 4723475, 9587027, 2530041, 20836144, 10365189, 2267490, ss220582234, ss232145153, ss239492063, ss342152280, ss481174978, ss482163345, ss485371509, ss490878092, ss491348990, ss537312926, ss650865126, ss778930311, ss780685637, ss783131363, ss783359133, ss784087857, ss832390264, ss833028139, ss833618967, ss834391842, ss974450694, ss979461332, ss1067457041, ss1071058309, ss1307294359, ss1429673740, ss1580298531, ss1584031609, ss1608816643, ss1651810676, ss1687295674, ss1711041404, ss1752452750, ss1752452751, ss1917775164, ss1922681545, ss1946102494, ss1958629061, ss1969591034, ss2021916147, ss2150013687, ss2625457563, ss2634044434, ss2634044435, ss2705434402, ss2734203843, ss2747140528, ss2802394761, ss2985276625, ss2985901187, ss2993651418, ss3022313879, ss3023059960, ss3345398105, ss3628836860, ss3628836861, ss3631985656, ss3633317129, ss3634035222, ss3634928408, ss3634928409, ss3635718600, ss3636626359, ss3637471038, ss3638456618, ss3640635705, ss3640635706, ss3644835154, ss3646295752, ss3652794834, ss3654046549, ss3661600678, ss3730597582, ss3744518760, ss3745228388, ss3745228389, ss3761042261, ss3772723544, ss3772723545, ss3823974671, ss3825521236, ss3825537755, ss3825646916, ss3828220699, ss3837543435, ss3857570047, ss3903643048, ss3984268155, ss3984268156, ss3984519237, ss3985037127, ss3986025461, ss3986261937, ss4017119327, ss5162866837, ss5314912448, ss5345083508, ss5507312657, ss5624134053, ss5624538814, ss5633758639, ss5799599713, ss5800111180, ss5826863849, ss5847231117, ss5847990899, ss5848597312, ss5962135580, ss5979680330, ss5980187244, ss5981218973 NC_000003.11:172165726:C:T NC_000003.12:172447936:C:T (self)
RCV000249477.1, RCV000347022.5, RCV001723864.4, 24512510, 132142024, 2510531, 9331050, 304796, 29949069, 430956862, 10356170466, ss2258207228, ss3024726522, ss3647587285, ss3710837125, ss3771083327, ss3804177499, ss3842975560, ss3952953049, ss4593579307, ss5237002012, ss5237179502, ss5237640835, ss5257018507, ss5314408788, ss5456063032, ss5536986575, ss5696111965, ss5804494566, ss5853961485, ss5872143153 NC_000003.12:172447936:C:T NC_000003.12:172447936:C:T (self)
ss743520, ss1177165, ss2022813, ss2362009, ss2491893, ss3198813, ss4156524, ss5566780, ss12587070, ss23933082, ss44463049, ss46563952, ss48417339, ss67419257, ss67780723, ss68244062, ss70846462, ss71431130, ss75517983, ss83486711, ss139714548, ss154340271, ss156508966, ss159516849, ss159706535, ss160744457, ss173924966, ss244303262 NT_005612.16:78660872:C:T NC_000003.12:172447936: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.

15 citations for rs572169
PMID Title Author Year Journal
18647811 Ghrelin receptor gene polymorphisms and body size in children and adults. Garcia EA et al. 2008 The Journal of clinical endocrinology and metabolism
19165163 Association studies on ghrelin and ghrelin receptor gene polymorphisms with obesity. Gueorguiev M et al. 2009 Obesity (Silver Spring, Md.)
19593725 Association of maternally inherited GNAS alleles with African-American male birth weight. Adkins RM et al. 2010 International journal of pediatric obesity
20404923 Family and population-based studies of variation within the ghrelin receptor locus in relation to measures of obesity. Gjesing AP et al. 2010 PloS one
20586762 Genetic variation of the ghrelin signaling system in females with severe alcohol dependence. Landgren S et al. 2010 Alcoholism, clinical and experimental research
20881960 Hundreds of variants clustered in genomic loci and biological pathways affect human height. Lango Allen H et al. 2010 Nature
20920174 Polymorphisms of genes coding for ghrelin and its receptor in relation to colorectal cancer risk: a two-step gene-wide case-control study. Campa D et al. 2010 BMC gastroenterology
21194676 Meta-analysis of Dense Genecentric Association Studies Reveals Common and Uncommon Variants Associated with Height. Lanktree MB et al. 2011 American journal of human genetics
21448464 The ghrelin signalling system is involved in the consumption of sweets. Landgren S et al. 2011 PloS one
22406557 Human longevity and variation in GH/IGF-1/insulin signaling, DNA damage signaling and repair and pro/antioxidant pathway genes: cross sectional and longitudinal studies. Soerensen M et al. 2012 Experimental gerontology
22457237 GH secretagogue receptor gene polymorphisms are associated with stature throughout childhood. Riedl S et al. 2012 European journal of endocrinology
23227170 Ghrelin influences novelty seeking behavior in rodents and men. Hansson C et al. 2012 PloS one
25376984 Associations between ghrelin and ghrelin receptor polymorphisms and cancer in Caucasian populations: a meta-analysis. Pabalan NA et al. 2014 BMC genetics
25741868 Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Richards S et al. 2015 Genetics in medicine
28977211 Association of 5-HT2C (rs3813929) and UCP3 (rs1800849) gene polymorphisms with type 2 diabetes in obese women candidates for bariatric surgery. Schnor NPP et al. 2017 Archives of endocrinology and metabolism
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.post820+afb47a3d