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)
- 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.
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 |
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 |
---|---|---|---|---|---|
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 |
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 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 |
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 |
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.
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 |
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= |
Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.
No | Submitter | Submission ID | Date (Build) |
---|---|---|---|
1 | SC_JCM | 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) |
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) |
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) |
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 |
---|---|---|---|---|
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 |
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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Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.