Name: rs9792548
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.

rs9792548

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr9:86958168 (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: G>A
Variation Type: SNV Single Nucleotide Variation
Frequency: G=0.451800 (119587/264690, TOPMED)
A=0.413953 (85550/206666, ALFA)
A=0.407425 (83553/205076, GENOGRAPHIC) (+ 23 more)
G=0.462451 (64733/139978, GnomAD)
G=0.35376 (27838/78692, PAGE_STUDY)
G=0.44476 (12568/28258, 14KJPN)
G=0.44648 (7483/16760, 8.3KJPN)
G=0.4399 (2817/6404, 1000G_30x)
G=0.4483 (2245/5008, 1000G)
A=0.3989 (1787/4480, Estonian)
A=0.3757 (1448/3854, ALSPAC)
A=0.3757 (1393/3708, TWINSUK)
A=0.4563 (1337/2930, KOREAN)
G=0.3788 (716/1890, HapMap)
A=0.4531 (830/1832, Korea1K)
A=0.368 (367/998, GoNL)
G=0.500 (395/790, PRJEB37584)
A=0.500 (395/790, PRJEB37584)
A=0.492 (308/626, Chileans)
A=0.345 (207/600, NorthernSweden)
G=0.313 (129/412, SGDP_PRJ)
G=0.440 (95/216, Qatari)
A=0.435 (93/214, Vietnamese)
A=0.33 (13/40, GENOME_DK)
G=0.38 (15/40, Siberian)
A=0.44 (8/18, Ancient Sardinia)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: GAS1RR : Intron Variant
Publications: 1 citation
Genomic View: See rs on genome

ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.

Release Version: 20230706150541

Population	Group	Sample Size	Ref Allele	Alt Allele
Total	Global	206666	G=0.586047	A=0.413953
European	Sub	178272	G=0.608323	A=0.391677
African	Sub	6694	G=0.1669	A=0.8331
African Others	Sub	222	G=0.099	A=0.901
African American	Sub	6472	G=0.1692	A=0.8308
Asian	Sub	748	G=0.504	A=0.496
East Asian	Sub	584	G=0.524	A=0.476
Other Asian	Sub	164	G=0.433	A=0.567
Latin American 1	Sub	884	G=0.454	A=0.546
Latin American 2	Sub	8410	G=0.5272	A=0.4728
South Asian	Sub	200	G=0.510	A=0.490
Other	Sub	11458	G=0.54442	A=0.45558

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	G=0.451800	A=0.548200
Allele Frequency Aggregator	Total	Global	206666	G=0.586047	A=0.413953
Allele Frequency Aggregator	European	Sub	178272	G=0.608323	A=0.391677
Allele Frequency Aggregator	Other	Sub	11458	G=0.54442	A=0.45558
Allele Frequency Aggregator	Latin American 2	Sub	8410	G=0.5272	A=0.4728
Allele Frequency Aggregator	African	Sub	6694	G=0.1669	A=0.8331
Allele Frequency Aggregator	Latin American 1	Sub	884	G=0.454	A=0.546
Allele Frequency Aggregator	Asian	Sub	748	G=0.504	A=0.496
Allele Frequency Aggregator	South Asian	Sub	200	G=0.510	A=0.490
Genographic Project	Global	Study-wide	205076	G=0.592575	A=0.407425
gnomAD - Genomes	Global	Study-wide	139978	G=0.462451	A=0.537549
gnomAD - Genomes	European	Sub	75780	G=0.60581	A=0.39419
gnomAD - Genomes	African	Sub	41966	G=0.17524	A=0.82476
gnomAD - Genomes	American	Sub	13634	G=0.51093	A=0.48907
gnomAD - Genomes	Ashkenazi Jewish	Sub	3322	G=0.5813	A=0.4187
gnomAD - Genomes	East Asian	Sub	3128	G=0.5026	A=0.4974
gnomAD - Genomes	Other	Sub	2148	G=0.4665	A=0.5335
The PAGE Study	Global	Study-wide	78692	G=0.35376	A=0.64624
The PAGE Study	AfricanAmerican	Sub	32514	G=0.18610	A=0.81390
The PAGE Study	Mexican	Sub	10808	G=0.52831	A=0.47169
The PAGE Study	Asian	Sub	8314	G=0.4489	A=0.5511
The PAGE Study	PuertoRican	Sub	7918	G=0.4529	A=0.5471
The PAGE Study	NativeHawaiian	Sub	4534	G=0.3899	A=0.6101
The PAGE Study	Cuban	Sub	4230	G=0.5147	A=0.4853
The PAGE Study	Dominican	Sub	3826	G=0.3907	A=0.6093
The PAGE Study	CentralAmerican	Sub	2450	G=0.4551	A=0.5449
The PAGE Study	SouthAmerican	Sub	1982	G=0.5066	A=0.4934
The PAGE Study	NativeAmerican	Sub	1260	G=0.5476	A=0.4524
The PAGE Study	SouthAsian	Sub	856	G=0.596	A=0.404
14KJPN	JAPANESE	Study-wide	28258	G=0.44476	A=0.55524
8.3KJPN	JAPANESE	Study-wide	16760	G=0.44648	A=0.55352
1000Genomes_30x	Global	Study-wide	6404	G=0.4399	A=0.5601
1000Genomes_30x	African	Sub	1786	G=0.1030	A=0.8970
1000Genomes_30x	Europe	Sub	1266	G=0.6130	A=0.3870
1000Genomes_30x	South Asian	Sub	1202	G=0.5948	A=0.4052
1000Genomes_30x	East Asian	Sub	1170	G=0.5581	A=0.4419
1000Genomes_30x	American	Sub	980	G=0.499	A=0.501
1000Genomes	Global	Study-wide	5008	G=0.4483	A=0.5517
1000Genomes	African	Sub	1322	G=0.1044	A=0.8956
1000Genomes	East Asian	Sub	1008	G=0.5496	A=0.4504
1000Genomes	Europe	Sub	1006	G=0.6153	A=0.3847
1000Genomes	South Asian	Sub	978	G=0.599	A=0.401
1000Genomes	American	Sub	694	G=0.501	A=0.499
Genetic variation in the Estonian population	Estonian	Study-wide	4480	G=0.6011	A=0.3989
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	G=0.6243	A=0.3757
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	G=0.6243	A=0.3757
KOREAN population from KRGDB	KOREAN	Study-wide	2930	G=0.5437	A=0.4563
HapMap	Global	Study-wide	1890	G=0.3788	A=0.6212
HapMap	American	Sub	770	G=0.534	A=0.466
HapMap	African	Sub	692	G=0.105	A=0.895
HapMap	Asian	Sub	252	G=0.500	A=0.500
HapMap	Europe	Sub	176	G=0.602	A=0.398
Korean Genome Project	KOREAN	Study-wide	1832	G=0.5469	A=0.4531
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	G=0.632	A=0.368
CNV burdens in cranial meningiomas	Global	Study-wide	790	G=0.500	A=0.500
CNV burdens in cranial meningiomas	CRM	Sub	790	G=0.500	A=0.500
Chileans	Chilean	Study-wide	626	G=0.508	A=0.492
Northern Sweden	ACPOP	Study-wide	600	G=0.655	A=0.345
SGDP_PRJ	Global	Study-wide	412	G=0.313	A=0.687
Qatari	Global	Study-wide	216	G=0.440	A=0.560
A Vietnamese Genetic Variation Database	Global	Study-wide	214	G=0.565	A=0.435
The Danish reference pan genome	Danish	Study-wide	40	G=0.68	A=0.33
Siberian	Global	Study-wide	40	G=0.38	A=0.62
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	18	G=0.56	A=0.44

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 9	NC_000009.12:g.86958168G>A
GRCh37.p13 chr 9	NC_000009.11:g.89573083G>A

Gene: GAS1RR, GAS1 adjacent regulatory RNA (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
GAS1RR transcript	NR_049794.1:n.	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.

Not Reported in ClinVar

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	G=	A
GRCh38.p14 chr 9	NC_000009.12:g.86958168=	NC_000009.12:g.86958168G>A
GRCh37.p13 chr 9	NC_000009.11:g.89573083=	NC_000009.11:g.89573083G>A

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#.

116 SubSNP, 25 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	WI_SSAHASNP	ss13619471	Dec 05, 2003 (119)
2	CSHL-HAPMAP	ss18011412	Feb 27, 2004 (120)
3	SSAHASNP	ss22790753	Apr 05, 2004 (121)
4	ABI	ss43380511	Mar 14, 2006 (126)
5	PERLEGEN	ss69294714	May 17, 2007 (127)
6	AFFY	ss76522371	Dec 07, 2007 (129)
7	BCMHGSC_JDW	ss94099132	Mar 25, 2008 (129)
8	HUMANGENOME_JCVI	ss97809313	Feb 04, 2009 (130)
9	BGI	ss104630390	Dec 01, 2009 (131)
10	KRIBB_YJKIM	ss104989086	Feb 04, 2009 (130)
11	1000GENOMES	ss108875328	Jan 23, 2009 (130)
12	1000GENOMES	ss114678620	Jan 25, 2009 (130)
13	ILLUMINA-UK	ss115752949	Feb 14, 2009 (130)
14	ENSEMBL	ss144221101	Dec 01, 2009 (131)
15	ENSEMBL	ss144265805	Dec 01, 2009 (131)
16	GMI	ss157677668	Dec 01, 2009 (131)
17	ILLUMINA	ss161012112	Dec 01, 2009 (131)
18	COMPLETE_GENOMICS	ss164349659	Jul 04, 2010 (132)
19	COMPLETE_GENOMICS	ss165369205	Jul 04, 2010 (132)
20	BUSHMAN	ss200555220	Jul 04, 2010 (132)
21	1000GENOMES	ss224314880	Jul 14, 2010 (132)
22	1000GENOMES	ss234867308	Jul 15, 2010 (132)
23	1000GENOMES	ss241631706	Jul 15, 2010 (132)
24	GMI	ss280295060	May 04, 2012 (137)
25	GMI	ss286048831	Apr 25, 2013 (138)
26	PJP	ss294308320	May 09, 2011 (134)
27	ILLUMINA	ss481977111	May 04, 2012 (137)
28	ILLUMINA	ss482010775	May 04, 2012 (137)
29	ILLUMINA	ss482964403	Sep 08, 2015 (146)
30	ILLUMINA	ss485782042	May 04, 2012 (137)
31	ILLUMINA	ss537627416	Sep 08, 2015 (146)
32	SSMP	ss655956009	Apr 25, 2013 (138)
33	ILLUMINA	ss779018605	Sep 08, 2015 (146)
34	ILLUMINA	ss783336890	Sep 08, 2015 (146)
35	ILLUMINA	ss784288406	Sep 08, 2015 (146)
36	ILLUMINA	ss832598708	Sep 08, 2015 (146)
37	ILLUMINA	ss834481185	Sep 08, 2015 (146)
38	EVA-GONL	ss986703190	Aug 21, 2014 (142)
39	JMKIDD_LAB	ss1076403289	Aug 21, 2014 (142)
40	1000GENOMES	ss1334419010	Aug 21, 2014 (142)
41	DDI	ss1431881245	Apr 01, 2015 (144)
42	EVA_GENOME_DK	ss1583151247	Apr 01, 2015 (144)
43	EVA_DECODE	ss1596337241	Apr 01, 2015 (144)
44	EVA_UK10K_ALSPAC	ss1623006549	Apr 01, 2015 (144)
45	EVA_UK10K_TWINSUK	ss1666000582	Apr 01, 2015 (144)
46	EVA_SVP	ss1713119296	Apr 01, 2015 (144)
47	ILLUMINA	ss1752787258	Sep 08, 2015 (146)
48	HAMMER_LAB	ss1806041321	Sep 08, 2015 (146)
49	WEILL_CORNELL_DGM	ss1930016045	Feb 12, 2016 (147)
50	ILLUMINA	ss1946261333	Feb 12, 2016 (147)
51	ILLUMINA	ss1959193752	Feb 12, 2016 (147)
52	GENOMED	ss1971245273	Jul 19, 2016 (147)
53	JJLAB	ss2025724925	Sep 14, 2016 (149)
54	ILLUMINA	ss2095222582	Dec 20, 2016 (150)
55	USC_VALOUEV	ss2153950373	Dec 20, 2016 (150)
56	HUMAN_LONGEVITY	ss2312319083	Dec 20, 2016 (150)
57	SYSTEMSBIOZJU	ss2627328716	Nov 08, 2017 (151)
58	ILLUMINA	ss2634883165	Nov 08, 2017 (151)
59	ILLUMINA	ss2634883166	Nov 08, 2017 (151)
60	GRF	ss2709818492	Nov 08, 2017 (151)
61	ILLUMINA	ss2711165688	Nov 08, 2017 (151)
62	GNOMAD	ss2880277363	Nov 08, 2017 (151)
63	SWEGEN	ss3005166326	Nov 08, 2017 (151)
64	ILLUMINA	ss3022939851	Nov 08, 2017 (151)
65	BIOINF_KMB_FNS_UNIBA	ss3026643285	Nov 08, 2017 (151)
66	CSHL	ss3348735021	Nov 08, 2017 (151)
67	ILLUMINA	ss3625986074	Oct 12, 2018 (152)
68	ILLUMINA	ss3630294269	Oct 12, 2018 (152)
69	ILLUMINA	ss3632774513	Oct 12, 2018 (152)
70	ILLUMINA	ss3633538680	Oct 12, 2018 (152)
71	ILLUMINA	ss3634267133	Oct 12, 2018 (152)
72	ILLUMINA	ss3635219579	Oct 12, 2018 (152)
73	ILLUMINA	ss3635945016	Oct 12, 2018 (152)
74	ILLUMINA	ss3636967290	Oct 12, 2018 (152)
75	ILLUMINA	ss3637698358	Oct 12, 2018 (152)
76	ILLUMINA	ss3640926870	Oct 12, 2018 (152)
77	ILLUMINA	ss3644994656	Oct 12, 2018 (152)
78	URBANLAB	ss3649184595	Oct 12, 2018 (152)
79	ILLUMINA	ss3653492806	Oct 12, 2018 (152)
80	EGCUT_WGS	ss3672709282	Jul 13, 2019 (153)
81	EVA_DECODE	ss3724238954	Jul 13, 2019 (153)
82	ILLUMINA	ss3726621123	Jul 13, 2019 (153)
83	ACPOP	ss3736647206	Jul 13, 2019 (153)
84	ILLUMINA	ss3744321386	Jul 13, 2019 (153)
85	ILLUMINA	ss3744590030	Jul 13, 2019 (153)
86	ILLUMINA	ss3745519487	Jul 13, 2019 (153)
87	EVA	ss3769363740	Jul 13, 2019 (153)
88	PAGE_CC	ss3771507619	Jul 13, 2019 (153)
89	ILLUMINA	ss3773011451	Jul 13, 2019 (153)
90	KHV_HUMAN_GENOMES	ss3812533289	Jul 13, 2019 (153)
91	EVA	ss3831725510	Apr 26, 2020 (154)
92	EVA	ss3839390382	Apr 26, 2020 (154)
93	EVA	ss3844853502	Apr 26, 2020 (154)
94	SGDP_PRJ	ss3872527564	Apr 26, 2020 (154)
95	KRGDB	ss3920339327	Apr 26, 2020 (154)
96	KOGIC	ss3966219589	Apr 26, 2020 (154)
97	EVA	ss3984621641	Apr 26, 2021 (155)
98	EVA	ss3985427734	Apr 26, 2021 (155)
99	EVA	ss4017444901	Apr 26, 2021 (155)
100	TOPMED	ss4826517689	Apr 26, 2021 (155)
101	TOMMO_GENOMICS	ss5194119618	Apr 26, 2021 (155)
102	1000G_HIGH_COVERAGE	ss5281268309	Oct 13, 2022 (156)
103	GENOGRAPHIC	ss5314534453	Oct 13, 2022 (156)
104	EVA	ss5315412486	Oct 13, 2022 (156)
105	HUGCELL_USP	ss5477230733	Oct 13, 2022 (156)
106	EVA	ss5509754218	Oct 13, 2022 (156)
107	1000G_HIGH_COVERAGE	ss5573872202	Oct 13, 2022 (156)
108	SANFORD_IMAGENETICS	ss5624723033	Oct 13, 2022 (156)
109	SANFORD_IMAGENETICS	ss5647749978	Oct 13, 2022 (156)
110	TOMMO_GENOMICS	ss5738296560	Oct 13, 2022 (156)
111	EVA	ss5799788414	Oct 13, 2022 (156)
112	YY_MCH	ss5810772222	Oct 13, 2022 (156)
113	EVA	ss5829388371	Oct 13, 2022 (156)
114	EVA	ss5856823376	Oct 13, 2022 (156)
115	EVA	ss5916980257	Oct 13, 2022 (156)
116	EVA	ss5976935566	Oct 13, 2022 (156)
117	1000Genomes	NC_000009.11 - 89573083	Oct 12, 2018 (152)
118	1000Genomes_30x	NC_000009.12 - 86958168	Oct 13, 2022 (156)
119	The Avon Longitudinal Study of Parents and Children	NC_000009.11 - 89573083	Oct 12, 2018 (152)
120	Chileans	NC_000009.11 - 89573083	Apr 26, 2020 (154)
121	Genetic variation in the Estonian population	NC_000009.11 - 89573083	Oct 12, 2018 (152)
122	Genographic Project	NC_000009.12 - 86958168	Oct 13, 2022 (156)
123	The Danish reference pan genome	NC_000009.11 - 89573083	Apr 26, 2020 (154)
124	gnomAD - Genomes	NC_000009.12 - 86958168	Apr 26, 2021 (155)
125	Genome of the Netherlands Release 5	NC_000009.11 - 89573083	Apr 26, 2020 (154)
126	HapMap	NC_000009.12 - 86958168	Apr 26, 2020 (154)
127	KOREAN population from KRGDB	NC_000009.11 - 89573083	Apr 26, 2020 (154)
128	Korean Genome Project	NC_000009.12 - 86958168	Apr 26, 2020 (154)
129	Northern Sweden	NC_000009.11 - 89573083	Jul 13, 2019 (153)
130	The PAGE Study	NC_000009.12 - 86958168	Jul 13, 2019 (153)
131	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000009.11 - 89573083	Apr 26, 2021 (155)
132	CNV burdens in cranial meningiomas	NC_000009.11 - 89573083	Apr 26, 2021 (155)
133	Qatari	NC_000009.11 - 89573083	Apr 26, 2020 (154)
134	SGDP_PRJ	NC_000009.11 - 89573083	Apr 26, 2020 (154)
135	Siberian	NC_000009.11 - 89573083	Apr 26, 2020 (154)
136	8.3KJPN	NC_000009.11 - 89573083	Apr 26, 2021 (155)
137	14KJPN	NC_000009.12 - 86958168	Oct 13, 2022 (156)
138	TopMed	NC_000009.12 - 86958168	Apr 26, 2021 (155)
139	UK 10K study - Twins	NC_000009.11 - 89573083	Oct 12, 2018 (152)
140	A Vietnamese Genetic Variation Database	NC_000009.11 - 89573083	Jul 13, 2019 (153)
141	ALFA	NC_000009.12 - 86958168	Apr 26, 2021 (155)

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).

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss94099132, ss108875328, ss114678620, ss115752949, ss164349659, ss165369205, ss200555220, ss280295060, ss286048831, ss294308320, ss481977111, ss1596337241, ss1713119296	NC_000009.10:88762902:G:A	NC_000009.12:86958167:G:A	(self)
46699106, 25937137, 463106, 18447530, 9316184, 11576202, 27516721, 9932071, 653661, 171090, 12057975, 24544544, 6466727, 52088925, 25937137, 5761885, ss224314880, ss234867308, ss241631706, ss482010775, ss482964403, ss485782042, ss537627416, ss655956009, ss779018605, ss783336890, ss784288406, ss832598708, ss834481185, ss986703190, ss1076403289, ss1334419010, ss1431881245, ss1583151247, ss1623006549, ss1666000582, ss1752787258, ss1806041321, ss1930016045, ss1946261333, ss1959193752, ss1971245273, ss2025724925, ss2095222582, ss2153950373, ss2627328716, ss2634883165, ss2634883166, ss2709818492, ss2711165688, ss2880277363, ss3005166326, ss3022939851, ss3348735021, ss3625986074, ss3630294269, ss3632774513, ss3633538680, ss3634267133, ss3635219579, ss3635945016, ss3636967290, ss3637698358, ss3640926870, ss3644994656, ss3653492806, ss3672709282, ss3736647206, ss3744321386, ss3744590030, ss3745519487, ss3769363740, ss3773011451, ss3831725510, ss3839390382, ss3872527564, ss3920339327, ss3984621641, ss3985427734, ss4017444901, ss5194119618, ss5315412486, ss5509754218, ss5624723033, ss5647749978, ss5799788414, ss5829388371, ss5976935566	NC_000009.11:89573082:G:A	NC_000009.12:86958167:G:A	(self)
61398137, 48494, 330171578, 3860454, 22597590, 729088, 72133664, 663895250, 9367780320, ss2312319083, ss3026643285, ss3649184595, ss3724238954, ss3726621123, ss3771507619, ss3812533289, ss3844853502, ss3966219589, ss4826517689, ss5281268309, ss5314534453, ss5477230733, ss5573872202, ss5738296560, ss5810772222, ss5856823376, ss5916980257	NC_000009.12:86958167:G:A	NC_000009.12:86958167:G:A	(self)
ss43380511, ss69294714, ss76522371, ss97809313, ss104630390, ss104989086, ss144221101, ss144265805, ss157677668, ss161012112	NT_008470.19:18737614:G:A	NC_000009.12:86958167:G:A	(self)
ss13619471, ss18011412, ss22790753	NT_023935.16:18737614:G:A	NC_000009.12:86958167:G:A	(self)

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

1 citation for rs9792548

PMID	Title	Author	Year	Journal
21901158	Genome-wide detection of allele specific copy number variation associated with insulin resistance in African Americans from the HyperGEN study.	Irvin MR et al.	2011	PloS one

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.

Choose placement

dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs9792548