Name: rs2741
Published: September 21, 2022
License: Open Access

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.

rs2741

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr7:30975950 (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: T>G
Variation Type: SNV Single Nucleotide Variation
Frequency: G=0.110764 (29318/264690, TOPMED)
G=0.107955 (19936/184670, ALFA)
G=0.102305 (14337/140140, GnomAD) (+ 23 more)
G=0.23473 (6633/28258, 14KJPN)
G=0.23457 (3931/16758, 8.3KJPN)
G=0.0971 (706/7272, GO-ESP)
G=0.1291 (827/6404, 1000G_30x)
G=0.1328 (665/5008, 1000G)
G=0.0879 (394/4480, Estonian)
G=0.1134 (437/3854, ALSPAC)
G=0.0968 (359/3708, TWINSUK)
G=0.2437 (712/2922, KOREAN)
G=0.1502 (313/2084, HGDP_Stanford)
G=0.1209 (228/1886, HapMap)
G=0.2298 (421/1832, Korea1K)
G=0.1522 (172/1130, Daghestan)
G=0.075 (75/998, GoNL)
G=0.080 (48/600, NorthernSweden)
G=0.133 (71/534, MGP)
G=0.144 (31/216, Qatari)
G=0.145 (31/214, Vietnamese)
T=0.451 (64/142, SGDP_PRJ)
G=0.09 (8/86, Ancient Sardinia)
G=0.12 (5/40, GENOME_DK)
T=0.5 (4/8, Siberian)
G=0.5 (4/8, Siberian)

Clinical Significance: Reported in ClinVar
Gene : Consequence: GHRHR : Intron Variant
Publications: 2 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	184670	T=0.892045	G=0.107955	0.796415	0.012325	0.19126	3
European	Sub	159062	T=0.893381	G=0.106619	0.798531	0.011769	0.1897	1
African	Sub	9180	T=0.9062	G=0.0938	0.821133	0.008715	0.170153	0
African Others	Sub	320	T=0.909	G=0.091	0.825	0.00625	0.16875	0
African American	Sub	8860	T=0.9061	G=0.0939	0.820993	0.008804	0.170203	0
Asian	Sub	524	T=0.811	G=0.189	0.664122	0.041985	0.293893	0
East Asian	Sub	444	T=0.806	G=0.194	0.653153	0.040541	0.306306	0
Other Asian	Sub	80	T=0.84	G=0.16	0.725	0.05	0.225	1
Latin American 1	Sub	686	T=0.886	G=0.114	0.798834	0.026239	0.174927	4
Latin American 2	Sub	5554	T=0.8669	G=0.1331	0.75117	0.017285	0.231545	0
South Asian	Sub	5020	T=0.8675	G=0.1325	0.755777	0.020717	0.223506	1
Other	Sub	4644	T=0.8848	G=0.1152	0.787683	0.018088	0.194229	3

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").

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Study	Population	Group	Sample Size	Ref Allele	Alt Allele
TopMed	Global	Study-wide	264690	T=0.889236	G=0.110764
Allele Frequency Aggregator	Total	Global	184670	T=0.892045	G=0.107955
Allele Frequency Aggregator	European	Sub	159062	T=0.893381	G=0.106619
Allele Frequency Aggregator	African	Sub	9180	T=0.9062	G=0.0938
Allele Frequency Aggregator	Latin American 2	Sub	5554	T=0.8669	G=0.1331
Allele Frequency Aggregator	South Asian	Sub	5020	T=0.8675	G=0.1325
Allele Frequency Aggregator	Other	Sub	4644	T=0.8848	G=0.1152
Allele Frequency Aggregator	Latin American 1	Sub	686	T=0.886	G=0.114
Allele Frequency Aggregator	Asian	Sub	524	T=0.811	G=0.189
gnomAD - Genomes	Global	Study-wide	140140	T=0.897695	G=0.102305
gnomAD - Genomes	European	Sub	75914	T=0.90116	G=0.09884
gnomAD - Genomes	African	Sub	41976	T=0.91069	G=0.08931
gnomAD - Genomes	American	Sub	13650	T=0.87407	G=0.12593
gnomAD - Genomes	Ashkenazi Jewish	Sub	3322	T=0.8356	G=0.1644
gnomAD - Genomes	East Asian	Sub	3128	T=0.8207	G=0.1793
gnomAD - Genomes	Other	Sub	2150	T=0.8795	G=0.1205
14KJPN	JAPANESE	Study-wide	28258	T=0.76527	G=0.23473
8.3KJPN	JAPANESE	Study-wide	16758	T=0.76543	G=0.23457
GO Exome Sequencing Project	Global	Study-wide	7272	T=0.9029	G=0.0971
GO Exome Sequencing Project	European American	Sub	4618	T=0.8924	G=0.1076
GO Exome Sequencing Project	African American	Sub	2654	T=0.9213	G=0.0787
1000Genomes_30x	Global	Study-wide	6404	T=0.8709	G=0.1291
1000Genomes_30x	African	Sub	1786	T=0.9227	G=0.0773
1000Genomes_30x	Europe	Sub	1266	T=0.8768	G=0.1232
1000Genomes_30x	South Asian	Sub	1202	T=0.8303	G=0.1697
1000Genomes_30x	East Asian	Sub	1170	T=0.8350	G=0.1650
1000Genomes_30x	American	Sub	980	T=0.861	G=0.139
1000Genomes	Global	Study-wide	5008	T=0.8672	G=0.1328
1000Genomes	African	Sub	1322	T=0.9198	G=0.0802
1000Genomes	East Asian	Sub	1008	T=0.8264	G=0.1736
1000Genomes	Europe	Sub	1006	T=0.8807	G=0.1193
1000Genomes	South Asian	Sub	978	T=0.831	G=0.169
1000Genomes	American	Sub	694	T=0.857	G=0.143
Genetic variation in the Estonian population	Estonian	Study-wide	4480	T=0.9121	G=0.0879
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	T=0.8866	G=0.1134
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	T=0.9032	G=0.0968
KOREAN population from KRGDB	KOREAN	Study-wide	2922	T=0.7563	G=0.2437
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	T=0.8498	G=0.1502
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	T=0.777	G=0.223
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	T=0.857	G=0.143
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	T=0.803	G=0.197
HGDP-CEPH-db Supplement 1	Europe	Sub	320	T=0.884	G=0.116
HGDP-CEPH-db Supplement 1	Africa	Sub	242	T=0.934	G=0.066
HGDP-CEPH-db Supplement 1	America	Sub	216	T=0.889	G=0.111
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	T=0.96	G=0.04
HapMap	Global	Study-wide	1886	T=0.8791	G=0.1209
HapMap	American	Sub	768	T=0.880	G=0.120
HapMap	African	Sub	692	T=0.931	G=0.069
HapMap	Asian	Sub	252	T=0.742	G=0.258
HapMap	Europe	Sub	174	T=0.868	G=0.132
Korean Genome Project	KOREAN	Study-wide	1832	T=0.7702	G=0.2298
Genome-wide autozygosity in Daghestan	Global	Study-wide	1130	T=0.8478	G=0.1522
Genome-wide autozygosity in Daghestan	Daghestan	Sub	626	T=0.853	G=0.147
Genome-wide autozygosity in Daghestan	Near_East	Sub	142	T=0.831	G=0.169
Genome-wide autozygosity in Daghestan	Central Asia	Sub	120	T=0.808	G=0.192
Genome-wide autozygosity in Daghestan	Europe	Sub	108	T=0.880	G=0.120
Genome-wide autozygosity in Daghestan	South Asian	Sub	98	T=0.89	G=0.11
Genome-wide autozygosity in Daghestan	Caucasus	Sub	36	T=0.75	G=0.25
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	T=0.925	G=0.075
Northern Sweden	ACPOP	Study-wide	600	T=0.920	G=0.080
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	T=0.867	G=0.133
Qatari	Global	Study-wide	216	T=0.856	G=0.144
A Vietnamese Genetic Variation Database	Global	Study-wide	214	T=0.855	G=0.145
SGDP_PRJ	Global	Study-wide	142	T=0.451	G=0.549
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	86	T=0.91	G=0.09
The Danish reference pan genome	Danish	Study-wide	40	T=0.88	G=0.12
Siberian	Global	Study-wide	8	T=0.5	G=0.5

Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.

Genomic Placements

Sequence name	Change
GRCh38.p14 chr 7	NC_000007.14:g.30975950T>G
GRCh37.p13 chr 7	NC_000007.13:g.31015565T>G
GHRHR RefSeqGene	NG_021416.1:g.16930T>G

Gene: GHRHR, growth hormone releasing hormone receptor (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
GHRHR transcript	NM_000823.4:c.974+82T>G	N/A	Intron 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.

Allele: G (allele ID: 1210567 )

ClinVar Accession	Disease Names	Clinical Significance
RCV001597746.3	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	T=	G
GRCh38.p14 chr 7	NC_000007.14:g.30975950=	NC_000007.14:g.30975950T>G
GRCh37.p13 chr 7	NC_000007.13:g.31015565=	NC_000007.13:g.31015565T>G
GHRHR RefSeqGene	NG_021416.1:g.16930=	NG_021416.1:g.16930T>G
GHRHR transcript variant 2	NM_001009824.1:c.*42=	NM_001009824.1:c.*42T>G
GHRHR transcript	NM_000823.3:c.974+82=	NM_000823.3:c.974+82T>G
GHRHR transcript	NM_000823.4:c.974+82=	NM_000823.4:c.974+82T>G

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#.

112 SubSNP, 25 Frequency, 1 ClinVar submissions

No	Submitter	Submission ID	Date (Build)
1	WIAF	ss2771	Sep 19, 2000 (36)
2	YUSUKE	ss2989577	Jun 15, 2001 (96)
3	CEPH	ss32475746	May 24, 2005 (125)
4	ILLUMINA	ss66614551	Dec 01, 2006 (127)
5	ILLUMINA	ss67271076	Dec 01, 2006 (127)
6	ILLUMINA	ss67671708	Dec 01, 2006 (127)
7	ILLUMINA	ss70749523	May 25, 2008 (130)
8	ILLUMINA	ss71321721	May 17, 2007 (127)
9	AFFY	ss74825192	Aug 16, 2007 (128)
10	ILLUMINA	ss75452611	Dec 06, 2007 (129)
11	ILLUMINA	ss79145543	Dec 15, 2007 (130)
12	KRIBB_YJKIM	ss83345454	Dec 15, 2007 (130)
13	BGI	ss104414205	Dec 01, 2009 (131)
14	ILLUMINA	ss122096952	Dec 01, 2009 (131)
15	ILLUMINA	ss154231756	Dec 01, 2009 (131)
16	ILLUMINA	ss159408271	Dec 01, 2009 (131)
17	ILLUMINA	ss160575322	Dec 01, 2009 (131)
18	COMPLETE_GENOMICS	ss162182188	Jul 04, 2010 (132)
19	ILLUMINA	ss171363908	Jul 04, 2010 (132)
20	ILLUMINA	ss173449980	Jul 04, 2010 (132)
21	BUSHMAN	ss203141589	Jul 04, 2010 (132)
22	1000GENOMES	ss222992749	Jul 14, 2010 (132)
23	1000GENOMES	ss233912528	Jul 15, 2010 (132)
24	1000GENOMES	ss240879798	Jul 15, 2010 (132)
25	GMI	ss279245144	May 04, 2012 (137)
26	ILLUMINA	ss480667526	May 04, 2012 (137)
27	ILLUMINA	ss481515373	Sep 08, 2015 (146)
28	ILLUMINA	ss537122477	Sep 08, 2015 (146)
29	TISHKOFF	ss559904124	Apr 25, 2013 (138)
30	SSMP	ss654257943	Apr 25, 2013 (138)
31	NHLBI-ESP	ss712765845	Apr 25, 2013 (138)
32	ILLUMINA	ss825476061	Apr 01, 2015 (144)
33	ILLUMINA	ss832264108	Sep 08, 2015 (146)
34	ILLUMINA	ss832919960	Jul 13, 2019 (153)
35	EVA-GONL	ss984111170	Aug 21, 2014 (142)
36	JMKIDD_LAB	ss1074485417	Aug 21, 2014 (142)
37	1000GENOMES	ss1324516634	Aug 21, 2014 (142)
38	HAMMER_LAB	ss1397489898	Sep 08, 2015 (146)
39	DDI	ss1431074024	Apr 01, 2015 (144)
40	EVA_GENOME_DK	ss1582134808	Apr 01, 2015 (144)
41	EVA_DECODE	ss1593682219	Apr 01, 2015 (144)
42	EVA_UK10K_ALSPAC	ss1617887251	Apr 01, 2015 (144)
43	EVA_UK10K_TWINSUK	ss1660881284	Apr 01, 2015 (144)
44	EVA_MGP	ss1711159083	Apr 01, 2015 (144)
45	EVA_SVP	ss1712943813	Apr 01, 2015 (144)
46	ILLUMINA	ss1752682147	Sep 08, 2015 (146)
47	WEILL_CORNELL_DGM	ss1927354366	Feb 12, 2016 (147)
48	GENOMED	ss1970661920	Jul 19, 2016 (147)
49	JJLAB	ss2024356554	Sep 14, 2016 (149)
50	USC_VALOUEV	ss2152552254	Dec 20, 2016 (150)
51	HUMAN_LONGEVITY	ss2292874758	Dec 20, 2016 (150)
52	ILLUMINA	ss2634587726	Nov 08, 2017 (151)
53	GRF	ss2708210157	Nov 08, 2017 (151)
54	GNOMAD	ss2851412188	Nov 08, 2017 (151)
55	SWEGEN	ss3000864362	Nov 08, 2017 (151)
56	BIOINF_KMB_FNS_UNIBA	ss3025972421	Nov 08, 2017 (151)
57	CSHL	ss3347508686	Nov 08, 2017 (151)
58	ILLUMINA	ss3629785069	Oct 12, 2018 (152)
59	ILLUMINA	ss3633458325	Oct 12, 2018 (152)
60	ILLUMINA	ss3634183006	Oct 12, 2018 (152)
61	ILLUMINA	ss3635115154	Oct 12, 2018 (152)
62	ILLUMINA	ss3635862940	Oct 12, 2018 (152)
63	ILLUMINA	ss3636846624	Oct 12, 2018 (152)
64	ILLUMINA	ss3637615889	Oct 12, 2018 (152)
65	ILLUMINA	ss3638689300	Oct 12, 2018 (152)
66	ILLUMINA	ss3639347238	Oct 12, 2018 (152)
67	ILLUMINA	ss3639701411	Oct 12, 2018 (152)
68	ILLUMINA	ss3640822450	Oct 12, 2018 (152)
69	ILLUMINA	ss3641210117	Oct 12, 2018 (152)
70	ILLUMINA	ss3641507521	Oct 12, 2018 (152)
71	ILLUMINA	ss3643625984	Oct 12, 2018 (152)
72	OMUKHERJEE_ADBS	ss3646350767	Oct 12, 2018 (152)
73	EGCUT_WGS	ss3668793637	Jul 13, 2019 (153)
74	EVA_DECODE	ss3719389785	Jul 13, 2019 (153)
75	ACPOP	ss3734490273	Jul 13, 2019 (153)
76	ILLUMINA	ss3745415111	Jul 13, 2019 (153)
77	EVA	ss3766370083	Jul 13, 2019 (153)
78	ILLUMINA	ss3772908204	Jul 13, 2019 (153)
79	KHV_HUMAN_GENOMES	ss3809535811	Jul 13, 2019 (153)
80	EVA	ss3824266178	Apr 26, 2020 (154)
81	EVA	ss3825717463	Apr 26, 2020 (154)
82	EVA	ss3830492531	Apr 26, 2020 (154)
83	EVA	ss3838733537	Apr 26, 2020 (154)
84	EVA	ss3844185001	Apr 26, 2020 (154)
85	HGDP	ss3847871866	Apr 26, 2020 (154)
86	SGDP_PRJ	ss3866943694	Apr 26, 2020 (154)
87	KRGDB	ss3913988994	Apr 26, 2020 (154)
88	KOGIC	ss3961163452	Apr 26, 2020 (154)
89	FSA-LAB	ss3984363575	Apr 26, 2021 (155)
90	FSA-LAB	ss3984363576	Apr 26, 2021 (155)
91	EVA	ss3985287229	Apr 26, 2021 (155)
92	EVA	ss3986378001	Apr 26, 2021 (155)
93	EVA	ss4017328705	Apr 26, 2021 (155)
94	TOPMED	ss4740672559	Apr 26, 2021 (155)
95	TOMMO_GENOMICS	ss5182461475	Apr 26, 2021 (155)
96	1000G_HIGH_COVERAGE	ss5272341329	Oct 14, 2022 (156)
97	EVA	ss5315237219	Oct 14, 2022 (156)
98	EVA	ss5372583613	Oct 14, 2022 (156)
99	HUGCELL_USP	ss5469576218	Oct 14, 2022 (156)
100	1000G_HIGH_COVERAGE	ss5560239883	Oct 14, 2022 (156)
101	EVA	ss5623939796	Oct 14, 2022 (156)
102	SANFORD_IMAGENETICS	ss5642640205	Oct 14, 2022 (156)
103	TOMMO_GENOMICS	ss5722099171	Oct 14, 2022 (156)
104	EVA	ss5799720543	Oct 14, 2022 (156)
105	EVA	ss5800138260	Oct 14, 2022 (156)
106	YY_MCH	ss5808464522	Oct 14, 2022 (156)
107	EVA	ss5822610040	Oct 14, 2022 (156)
108	EVA	ss5848679642	Oct 14, 2022 (156)
109	EVA	ss5855827568	Oct 14, 2022 (156)
110	EVA	ss5858296595	Oct 14, 2022 (156)
111	EVA	ss5971846362	Oct 14, 2022 (156)
112	EVA	ss5981241832	Oct 14, 2022 (156)
113	1000Genomes	NC_000007.13 - 31015565	Oct 12, 2018 (152)
114	1000Genomes_30x	NC_000007.14 - 30975950	Oct 14, 2022 (156)
115	The Avon Longitudinal Study of Parents and Children	NC_000007.13 - 31015565	Oct 12, 2018 (152)
116	Genome-wide autozygosity in Daghestan	NC_000007.12 - 30982090	Apr 26, 2020 (154)
117	Genetic variation in the Estonian population	NC_000007.13 - 31015565	Oct 12, 2018 (152)
118	The Danish reference pan genome	NC_000007.13 - 31015565	Apr 26, 2020 (154)
119	gnomAD - Genomes	NC_000007.14 - 30975950	Apr 26, 2021 (155)
120	GO Exome Sequencing Project	NC_000007.13 - 31015565	Oct 12, 2018 (152)
121	Genome of the Netherlands Release 5	NC_000007.13 - 31015565	Apr 26, 2020 (154)
122	HGDP-CEPH-db Supplement 1	NC_000007.12 - 30982090	Apr 26, 2020 (154)
123	HapMap	NC_000007.14 - 30975950	Apr 26, 2020 (154)
124	KOREAN population from KRGDB	NC_000007.13 - 31015565	Apr 26, 2020 (154)
125	Korean Genome Project	NC_000007.14 - 30975950	Apr 26, 2020 (154)
126	Medical Genome Project healthy controls from Spanish population	NC_000007.13 - 31015565	Apr 26, 2020 (154)
127	Northern Sweden	NC_000007.13 - 31015565	Jul 13, 2019 (153)
128	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000007.13 - 31015565	Apr 26, 2021 (155)
129	Qatari	NC_000007.13 - 31015565	Apr 26, 2020 (154)
130	SGDP_PRJ	NC_000007.13 - 31015565	Apr 26, 2020 (154)
131	Siberian	NC_000007.13 - 31015565	Apr 26, 2020 (154)
132	8.3KJPN	NC_000007.13 - 31015565	Apr 26, 2021 (155)
133	14KJPN	NC_000007.14 - 30975950	Oct 14, 2022 (156)
134	TopMed	NC_000007.14 - 30975950	Apr 26, 2021 (155)
135	UK 10K study - Twins	NC_000007.13 - 31015565	Oct 12, 2018 (152)
136	A Vietnamese Genetic Variation Database	NC_000007.13 - 31015565	Jul 13, 2019 (153)
137	ALFA	NC_000007.14 - 30975950	Apr 26, 2021 (155)
138	ClinVar	RCV001597746.3	Oct 14, 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)
rs52835078	Sep 21, 2007 (128)
rs59653211	May 25, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss3639347238, ss3639701411	NC_000007.11:30788804:T:G	NC_000007.14:30975949:T:G	(self)
464126, 549758, ss162182188, ss203141589, ss279245144, ss825476061, ss1397489898, ss1593682219, ss1712943813, ss3643625984, ss3847871866	NC_000007.12:30982089:T:G	NC_000007.14:30975949:T:G	(self)
36464953, 20332439, 14531885, 8299747, 724155, 9065717, 21166388, 274843, 7775138, 513156, 9396296, 18960674, 5068608, 40430782, 20332439, 4529885, ss222992749, ss233912528, ss240879798, ss480667526, ss481515373, ss537122477, ss559904124, ss654257943, ss712765845, ss832264108, ss832919960, ss984111170, ss1074485417, ss1324516634, ss1431074024, ss1582134808, ss1617887251, ss1660881284, ss1711159083, ss1752682147, ss1927354366, ss1970661920, ss2024356554, ss2152552254, ss2634587726, ss2708210157, ss2851412188, ss3000864362, ss3347508686, ss3629785069, ss3633458325, ss3634183006, ss3635115154, ss3635862940, ss3636846624, ss3637615889, ss3638689300, ss3640822450, ss3641210117, ss3641507521, ss3646350767, ss3668793637, ss3734490273, ss3745415111, ss3766370083, ss3772908204, ss3824266178, ss3825717463, ss3830492531, ss3838733537, ss3866943694, ss3913988994, ss3984363575, ss3984363576, ss3985287229, ss3986378001, ss4017328705, ss5182461475, ss5315237219, ss5372583613, ss5623939796, ss5642640205, ss5799720543, ss5800138260, ss5822610040, ss5848679642, ss5971846362, ss5981241832	NC_000007.13:31015564:T:G	NC_000007.14:30975949:T:G	(self)
RCV001597746.3, 47765818, 257106487, 3369890, 17541453, 55936275, 578050118, 8725494104, ss2292874758, ss3025972421, ss3719389785, ss3809535811, ss3844185001, ss3961163452, ss4740672559, ss5272341329, ss5469576218, ss5560239883, ss5722099171, ss5808464522, ss5855827568, ss5858296595	NC_000007.14:30975949:T:G	NC_000007.14:30975949:T:G	(self)
ss2771, ss2989577, ss32475746, ss66614551, ss67271076, ss67671708, ss70749523, ss71321721, ss74825192, ss75452611, ss79145543, ss83345454, ss104414205, ss122096952, ss154231756, ss159408271, ss160575322, ss171363908, ss173449980	NT_007819.17:31005564:T:G	NC_000007.14:30975949:T:G	(self)

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

2 citations for rs2741

PMID	Title	Author	Year	Journal
19209235	Extended haplotypes in the growth hormone releasing hormone receptor gene (GHRHR) are associated with normal variation in height.	Johansson A et al.	2009	PloS one
21118967	Genetic variants in MicroRNA biosynthesis pathways and binding sites modify ovarian cancer risk, survival, and treatment response.	Liang D et al.	2010	Cancer research

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.

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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs2741