Name: rs4780095
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.

rs4780095

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr15:33211420 (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 / G>T
Variation Type: SNV Single Nucleotide Variation
Frequency: G=0.486275 (128712/264690, TOPMED)
G=0.375530 (95196/253498, ALFA)
G=0.361578 (74151/205076, GENOGRAPHIC) (+ 21 more)
G=0.482680 (67607/140066, GnomAD)
A=0.47777 (37597/78692, PAGE_STUDY)
G=0.17153 (4847/28258, 14KJPN)
G=0.16915 (2835/16760, 8.3KJPN)
G=0.4542 (2909/6404, 1000G_30x)
G=0.4397 (2202/5008, 1000G)
G=0.3257 (1459/4480, Estonian)
G=0.3451 (1330/3854, ALSPAC)
G=0.3635 (1348/3708, TWINSUK)
G=0.1696 (497/2930, KOREAN)
A=0.4756 (895/1882, HapMap)
G=0.1648 (302/1832, Korea1K)
G=0.3501 (397/1134, Daghestan)
G=0.341 (340/998, GoNL)
G=0.133 (105/788, PRJEB37584)
G=0.270 (162/600, NorthernSweden)
G=0.197 (90/458, SGDP_PRJ)
A=0.463 (100/216, Qatari)
G=0.139 (30/216, Vietnamese)
G=0.13 (7/52, Siberian)
G=0.42 (17/40, GENOME_DK)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: None
Publications: 0 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: 20230706150541

Population	Group	Sample Size	Ref Allele	Alt Allele
Total	Global	253498	G=0.375530	A=0.624470, T=0.000000
European	Sub	220138	G=0.362427	A=0.637573, T=0.000000
African	Sub	9940	G=0.7974	A=0.2026, T=0.0000
African Others	Sub	352	G=0.858	A=0.142, T=0.000
African American	Sub	9588	G=0.7952	A=0.2048, T=0.0000
Asian	Sub	3902	G=0.1738	A=0.8262, T=0.0000
East Asian	Sub	3138	G=0.1689	A=0.8311, T=0.0000
Other Asian	Sub	764	G=0.194	A=0.806, T=0.000
Latin American 1	Sub	1174	G=0.5358	A=0.4642, T=0.0000
Latin American 2	Sub	8752	G=0.2830	A=0.7170, T=0.0000
South Asian	Sub	380	G=0.347	A=0.653, T=0.000
Other	Sub	9212	G=0.3875	A=0.6125, T=0.0000

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=0.486275	A=0.513725
Allele Frequency Aggregator	Total	Global	253498	G=0.375530	A=0.624470, T=0.000000
Allele Frequency Aggregator	European	Sub	220138	G=0.362427	A=0.637573, T=0.000000
Allele Frequency Aggregator	African	Sub	9940	G=0.7974	A=0.2026, T=0.0000
Allele Frequency Aggregator	Other	Sub	9212	G=0.3875	A=0.6125, T=0.0000
Allele Frequency Aggregator	Latin American 2	Sub	8752	G=0.2830	A=0.7170, T=0.0000
Allele Frequency Aggregator	Asian	Sub	3902	G=0.1738	A=0.8262, T=0.0000
Allele Frequency Aggregator	Latin American 1	Sub	1174	G=0.5358	A=0.4642, T=0.0000
Allele Frequency Aggregator	South Asian	Sub	380	G=0.347	A=0.653, T=0.000
Genographic Project	Global	Study-wide	205076	G=0.361578	A=0.638422, T=0.000000
gnomAD - Genomes	Global	Study-wide	140066	G=0.482680	A=0.517320
gnomAD - Genomes	European	Sub	75840	G=0.35224	A=0.64776
gnomAD - Genomes	African	Sub	42004	G=0.79397	A=0.20603
gnomAD - Genomes	American	Sub	13634	G=0.34194	A=0.65806
gnomAD - Genomes	Ashkenazi Jewish	Sub	3320	G=0.3964	A=0.6036
gnomAD - Genomes	East Asian	Sub	3120	G=0.1859	A=0.8141
gnomAD - Genomes	Other	Sub	2148	G=0.4586	A=0.5414
The PAGE Study	Global	Study-wide	78692	G=0.52223	A=0.47777
The PAGE Study	AfricanAmerican	Sub	32508	G=0.78781	A=0.21219
The PAGE Study	Mexican	Sub	10810	G=0.29066	A=0.70934
The PAGE Study	Asian	Sub	8318	G=0.1755	A=0.8245
The PAGE Study	PuertoRican	Sub	7916	G=0.4613	A=0.5387
The PAGE Study	NativeHawaiian	Sub	4534	G=0.1901	A=0.8099
The PAGE Study	Cuban	Sub	4230	G=0.4683	A=0.5317
The PAGE Study	Dominican	Sub	3828	G=0.5776	A=0.4224
The PAGE Study	CentralAmerican	Sub	2450	G=0.3449	A=0.6551
The PAGE Study	SouthAmerican	Sub	1982	G=0.2825	A=0.7175
The PAGE Study	NativeAmerican	Sub	1260	G=0.4008	A=0.5992
The PAGE Study	SouthAsian	Sub	856	G=0.312	A=0.688
14KJPN	JAPANESE	Study-wide	28258	G=0.17153	A=0.82847
8.3KJPN	JAPANESE	Study-wide	16760	G=0.16915	A=0.83085
1000Genomes_30x	Global	Study-wide	6404	G=0.4542	A=0.5458
1000Genomes_30x	African	Sub	1786	G=0.8768	A=0.1232
1000Genomes_30x	Europe	Sub	1266	G=0.3728	A=0.6272
1000Genomes_30x	South Asian	Sub	1202	G=0.3261	A=0.6739
1000Genomes_30x	East Asian	Sub	1170	G=0.1769	A=0.8231
1000Genomes_30x	American	Sub	980	G=0.278	A=0.722
1000Genomes	Global	Study-wide	5008	G=0.4397	A=0.5603
1000Genomes	African	Sub	1322	G=0.8669	A=0.1331
1000Genomes	East Asian	Sub	1008	G=0.1696	A=0.8304
1000Genomes	Europe	Sub	1006	G=0.3698	A=0.6302
1000Genomes	South Asian	Sub	978	G=0.328	A=0.672
1000Genomes	American	Sub	694	G=0.277	A=0.723
Genetic variation in the Estonian population	Estonian	Study-wide	4480	G=0.3257	A=0.6743
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	G=0.3451	A=0.6549
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	G=0.3635	A=0.6365
KOREAN population from KRGDB	KOREAN	Study-wide	2930	G=0.1696	A=0.8304, T=0.0000
HapMap	Global	Study-wide	1882	G=0.5244	A=0.4756
HapMap	American	Sub	764	G=0.372	A=0.628
HapMap	African	Sub	688	G=0.852	A=0.148
HapMap	Asian	Sub	254	G=0.165	A=0.835
HapMap	Europe	Sub	176	G=0.426	A=0.574
Korean Genome Project	KOREAN	Study-wide	1832	G=0.1648	A=0.8352
Genome-wide autozygosity in Daghestan	Global	Study-wide	1134	G=0.3501	A=0.6499
Genome-wide autozygosity in Daghestan	Daghestan	Sub	628	G=0.338	A=0.662
Genome-wide autozygosity in Daghestan	Near_East	Sub	144	G=0.438	A=0.562
Genome-wide autozygosity in Daghestan	Central Asia	Sub	120	G=0.308	A=0.692
Genome-wide autozygosity in Daghestan	Europe	Sub	108	G=0.454	A=0.546
Genome-wide autozygosity in Daghestan	South Asian	Sub	98	G=0.26	A=0.74
Genome-wide autozygosity in Daghestan	Caucasus	Sub	36	G=0.31	A=0.69
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	G=0.341	A=0.659
CNV burdens in cranial meningiomas	Global	Study-wide	788	G=0.133	A=0.867
CNV burdens in cranial meningiomas	CRM	Sub	788	G=0.133	A=0.867
Northern Sweden	ACPOP	Study-wide	600	G=0.270	A=0.730
SGDP_PRJ	Global	Study-wide	458	G=0.197	A=0.803
Qatari	Global	Study-wide	216	G=0.537	A=0.463
A Vietnamese Genetic Variation Database	Global	Study-wide	216	G=0.139	A=0.861
Siberian	Global	Study-wide	52	G=0.13	A=0.87
The Danish reference pan genome	Danish	Study-wide	40	G=0.42	A=0.57

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 15	NC_000015.10:g.33211420G>A
GRCh38.p14 chr 15	NC_000015.10:g.33211420G>T
GRCh37.p13 chr 15	NC_000015.9:g.33503621G>A
GRCh37.p13 chr 15	NC_000015.9:g.33503621G>T

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	T
GRCh38.p14 chr 15	NC_000015.10:g.33211420=	NC_000015.10:g.33211420G>A	NC_000015.10:g.33211420G>T
GRCh37.p13 chr 15	NC_000015.9:g.33503621=	NC_000015.9:g.33503621G>A	NC_000015.9:g.33503621G>T

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#.

124 SubSNP, 24 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	WI_SSAHASNP	ss6595312	Feb 20, 2003 (111)
2	BCM_SSAHASNP	ss14253157	Dec 05, 2003 (119)
3	CSHL-HAPMAP	ss16663575	Feb 27, 2004 (120)
4	SSAHASNP	ss21232912	Apr 05, 2004 (121)
5	PERLEGEN	ss24612699	Sep 20, 2004 (123)
6	ABI	ss43684542	Mar 14, 2006 (126)
7	AFFY	ss66433366	Nov 30, 2006 (127)
8	PERLEGEN	ss69172360	May 17, 2007 (127)
9	AFFY	ss76208157	Dec 06, 2007 (129)
10	KRIBB_YJKIM	ss82121747	Dec 15, 2007 (130)
11	BCMHGSC_JDW	ss90114326	Mar 24, 2008 (129)
12	BGI	ss106420708	Feb 02, 2009 (130)
13	1000GENOMES	ss108716793	Jan 23, 2009 (130)
14	1000GENOMES	ss113992233	Jan 25, 2009 (130)
15	ENSEMBL	ss132389083	Dec 01, 2009 (131)
16	ENSEMBL	ss134223006	Dec 01, 2009 (131)
17	GMI	ss156394020	Dec 01, 2009 (131)
18	ILLUMINA	ss160710737	Dec 01, 2009 (131)
19	COMPLETE_GENOMICS	ss167765571	Jul 04, 2010 (132)
20	COMPLETE_GENOMICS	ss169068756	Jul 04, 2010 (132)
21	COMPLETE_GENOMICS	ss170920180	Jul 04, 2010 (132)
22	AFFY	ss172816153	Jul 04, 2010 (132)
23	BUSHMAN	ss200685723	Jul 04, 2010 (132)
24	BCM-HGSC-SUB	ss207267555	Jul 04, 2010 (132)
25	1000GENOMES	ss226827321	Jul 14, 2010 (132)
26	1000GENOMES	ss236732154	Jul 15, 2010 (132)
27	1000GENOMES	ss243128087	Jul 15, 2010 (132)
28	GMI	ss282205219	May 04, 2012 (137)
29	GMI	ss286929700	Apr 25, 2013 (138)
30	PJP	ss291813699	May 09, 2011 (134)
31	ILLUMINA	ss481044655	May 04, 2012 (137)
32	ILLUMINA	ss481066043	May 04, 2012 (137)
33	ILLUMINA	ss482057182	Sep 08, 2015 (146)
34	ILLUMINA	ss485317289	May 04, 2012 (137)
35	ILLUMINA	ss537273103	Sep 08, 2015 (146)
36	TISHKOFF	ss564401746	Apr 25, 2013 (138)
37	SSMP	ss660117410	Apr 25, 2013 (138)
38	ILLUMINA	ss778546876	Sep 08, 2015 (146)
39	ILLUMINA	ss783104471	Sep 08, 2015 (146)
40	ILLUMINA	ss784061650	Sep 08, 2015 (146)
41	ILLUMINA	ss832363079	Sep 08, 2015 (146)
42	ILLUMINA	ss834003557	Sep 08, 2015 (146)
43	EVA-GONL	ss991654655	Aug 21, 2014 (142)
44	JMKIDD_LAB	ss1080024030	Aug 21, 2014 (142)
45	1000GENOMES	ss1352946247	Aug 21, 2014 (142)
46	HAMMER_LAB	ss1397693294	Sep 08, 2015 (146)
47	DDI	ss1427584712	Apr 01, 2015 (144)
48	EVA_GENOME_DK	ss1577541503	Apr 01, 2015 (144)
49	EVA_UK10K_ALSPAC	ss1632725894	Apr 01, 2015 (144)
50	EVA_UK10K_TWINSUK	ss1675719927	Apr 01, 2015 (144)
51	EVA_DECODE	ss1695665493	Apr 01, 2015 (144)
52	EVA_SVP	ss1713479715	Apr 01, 2015 (144)
53	ILLUMINA	ss1752155780	Sep 08, 2015 (146)
54	WEILL_CORNELL_DGM	ss1935059071	Feb 12, 2016 (147)
55	ILLUMINA	ss1946389241	Feb 12, 2016 (147)
56	ILLUMINA	ss1959600149	Feb 12, 2016 (147)
57	GENOMED	ss1968077045	Jul 19, 2016 (147)
58	JJLAB	ss2028307422	Sep 14, 2016 (149)
59	USC_VALOUEV	ss2156703986	Dec 20, 2016 (150)
60	HUMAN_LONGEVITY	ss2205727701	Dec 20, 2016 (150)
61	SYSTEMSBIOZJU	ss2628647156	Nov 08, 2017 (151)
62	ILLUMINA	ss2633212137	Nov 08, 2017 (151)
63	GRF	ss2701168590	Nov 08, 2017 (151)
64	ILLUMINA	ss2710813001	Nov 08, 2017 (151)
65	GNOMAD	ss2933404365	Nov 08, 2017 (151)
66	SWEGEN	ss3013069976	Nov 08, 2017 (151)
67	ILLUMINA	ss3021619191	Nov 08, 2017 (151)
68	BIOINF_KMB_FNS_UNIBA	ss3027976899	Nov 08, 2017 (151)
69	CSHL	ss3351057613	Nov 08, 2017 (151)
70	ILLUMINA	ss3625669602	Oct 12, 2018 (152)
71	ILLUMINA	ss3627329819	Oct 12, 2018 (152)
72	ILLUMINA	ss3631206239	Oct 12, 2018 (152)
73	ILLUMINA	ss3633092625	Oct 12, 2018 (152)
74	ILLUMINA	ss3633797036	Oct 12, 2018 (152)
75	ILLUMINA	ss3634599305	Oct 12, 2018 (152)
76	ILLUMINA	ss3635486064	Oct 12, 2018 (152)
77	ILLUMINA	ss3636289881	Oct 12, 2018 (152)
78	ILLUMINA	ss3637237307	Oct 12, 2018 (152)
79	ILLUMINA	ss3640306628	Oct 12, 2018 (152)
80	ILLUMINA	ss3641058466	Oct 12, 2018 (152)
81	ILLUMINA	ss3641353795	Oct 12, 2018 (152)
82	ILLUMINA	ss3644642354	Oct 12, 2018 (152)
83	ILLUMINA	ss3652018685	Oct 12, 2018 (152)
84	EGCUT_WGS	ss3680216556	Jul 13, 2019 (153)
85	EVA_DECODE	ss3697642305	Jul 13, 2019 (153)
86	ILLUMINA	ss3725487141	Jul 13, 2019 (153)
87	ACPOP	ss3740814477	Jul 13, 2019 (153)
88	ILLUMINA	ss3744129078	Jul 13, 2019 (153)
89	ILLUMINA	ss3744899855	Jul 13, 2019 (153)
90	EVA	ss3752926407	Jul 13, 2019 (153)
91	PAGE_CC	ss3771820295	Jul 13, 2019 (153)
92	ILLUMINA	ss3772398563	Jul 13, 2019 (153)
93	PACBIO	ss3787809411	Jul 13, 2019 (153)
94	PACBIO	ss3792827460	Jul 13, 2019 (153)
95	PACBIO	ss3797711919	Jul 13, 2019 (153)
96	KHV_HUMAN_GENOMES	ss3818243645	Jul 13, 2019 (153)
97	EVA	ss3834170593	Apr 27, 2020 (154)
98	EVA	ss3840683357	Apr 27, 2020 (154)
99	EVA	ss3846171595	Apr 27, 2020 (154)
100	SGDP_PRJ	ss3882644246	Apr 27, 2020 (154)
101	KRGDB	ss3931771738	Apr 27, 2020 (154)
102	KOGIC	ss3975878868	Apr 27, 2020 (154)
103	EVA	ss3984699096	Apr 26, 2021 (155)
104	TOPMED	ss4986792837	Apr 26, 2021 (155)
105	TOMMO_GENOMICS	ss5215588929	Apr 26, 2021 (155)
106	1000G_HIGH_COVERAGE	ss5297987290	Oct 16, 2022 (156)
107	GENOGRAPHIC	ss5314563759	Oct 16, 2022 (156)
108	EVA	ss5315773949	Oct 16, 2022 (156)
109	EVA	ss5418406215	Oct 16, 2022 (156)
110	HUGCELL_USP	ss5491766065	Oct 16, 2022 (156)
111	EVA	ss5511390080	Oct 16, 2022 (156)
112	1000G_HIGH_COVERAGE	ss5599161315	Oct 16, 2022 (156)
113	SANFORD_IMAGENETICS	ss5624357063	Oct 16, 2022 (156)
114	SANFORD_IMAGENETICS	ss5657251651	Oct 16, 2022 (156)
115	TOMMO_GENOMICS	ss5769214741	Oct 16, 2022 (156)
116	EVA	ss5799933865	Oct 16, 2022 (156)
117	YY_MCH	ss5815220538	Oct 16, 2022 (156)
118	EVA	ss5828027684	Oct 16, 2022 (156)
119	EVA	ss5847446432	Oct 16, 2022 (156)
120	EVA	ss5847737191	Oct 16, 2022 (156)
121	EVA	ss5851238785	Oct 16, 2022 (156)
122	EVA	ss5875357960	Oct 16, 2022 (156)
123	EVA	ss5948645502	Oct 16, 2022 (156)
124	EVA	ss5979456567	Oct 16, 2022 (156)
125	1000Genomes	NC_000015.9 - 33503621	Oct 12, 2018 (152)
126	1000Genomes_30x	NC_000015.10 - 33211420	Oct 16, 2022 (156)
127	The Avon Longitudinal Study of Parents and Children	NC_000015.9 - 33503621	Oct 12, 2018 (152)
128	Genome-wide autozygosity in Daghestan	NC_000015.8 - 31290913	Apr 27, 2020 (154)
129	Genetic variation in the Estonian population	NC_000015.9 - 33503621	Oct 12, 2018 (152)
130	Genographic Project	NC_000015.10 - 33211420	Oct 16, 2022 (156)
131	The Danish reference pan genome	NC_000015.9 - 33503621	Apr 27, 2020 (154)
132	gnomAD - Genomes	NC_000015.10 - 33211420	Apr 26, 2021 (155)
133	Genome of the Netherlands Release 5	NC_000015.9 - 33503621	Apr 27, 2020 (154)
134	HapMap	NC_000015.10 - 33211420	Apr 27, 2020 (154)
135	KOREAN population from KRGDB	NC_000015.9 - 33503621	Apr 27, 2020 (154)
136	Korean Genome Project	NC_000015.10 - 33211420	Apr 27, 2020 (154)
137	Northern Sweden	NC_000015.9 - 33503621	Jul 13, 2019 (153)
138	The PAGE Study	NC_000015.10 - 33211420	Jul 13, 2019 (153)
139	CNV burdens in cranial meningiomas	NC_000015.9 - 33503621	Apr 26, 2021 (155)
140	Qatari	NC_000015.9 - 33503621	Apr 27, 2020 (154)
141	SGDP_PRJ	NC_000015.9 - 33503621	Apr 27, 2020 (154)
142	Siberian	NC_000015.9 - 33503621	Apr 27, 2020 (154)
143	8.3KJPN	NC_000015.9 - 33503621	Apr 26, 2021 (155)
144	14KJPN	NC_000015.10 - 33211420	Oct 16, 2022 (156)
145	TopMed	NC_000015.10 - 33211420	Apr 26, 2021 (155)
146	UK 10K study - Twins	NC_000015.9 - 33503621	Oct 12, 2018 (152)
147	A Vietnamese Genetic Variation Database	NC_000015.9 - 33503621	Jul 13, 2019 (153)
148	ALFA	NC_000015.10 - 33211420	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).

Associated ID	History Updated (Build)
rs17235854	Oct 08, 2004 (123)
rs59227029	Feb 25, 2009 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
163508, ss66433366, ss76208157, ss90114326, ss108716793, ss113992233, ss167765571, ss169068756, ss170920180, ss172816153, ss200685723, ss207267555, ss282205219, ss286929700, ss291813699, ss481044655, ss1397693294, ss1695665493, ss1713479715	NC_000015.8:31290912:G:A	NC_000015.10:33211419:G:A	(self)
65998372, 36636501, 25954804, 3805074, 16366955, 38949132, 14099342, 248618, 17101001, 34661226, 9220340, 73558236, 36636501, 8151030, ss226827321, ss236732154, ss243128087, ss481066043, ss482057182, ss485317289, ss537273103, ss564401746, ss660117410, ss778546876, ss783104471, ss784061650, ss832363079, ss834003557, ss991654655, ss1080024030, ss1352946247, ss1427584712, ss1577541503, ss1632725894, ss1675719927, ss1752155780, ss1935059071, ss1946389241, ss1959600149, ss1968077045, ss2028307422, ss2156703986, ss2628647156, ss2633212137, ss2701168590, ss2710813001, ss2933404365, ss3013069976, ss3021619191, ss3351057613, ss3625669602, ss3627329819, ss3631206239, ss3633092625, ss3633797036, ss3634599305, ss3635486064, ss3636289881, ss3637237307, ss3640306628, ss3641058466, ss3641353795, ss3644642354, ss3652018685, ss3680216556, ss3740814477, ss3744129078, ss3744899855, ss3752926407, ss3772398563, ss3787809411, ss3792827460, ss3797711919, ss3834170593, ss3840683357, ss3882644246, ss3931771738, ss3984699096, ss5215588929, ss5315773949, ss5418406215, ss5511390080, ss5624357063, ss5657251651, ss5799933865, ss5828027684, ss5847446432, ss5847737191, ss5948645502, ss5979456567	NC_000015.9:33503620:G:A	NC_000015.10:33211419:G:A	(self)
86687250, 24515, 465252249, 1237581, 32256869, 1041764, 103051845, 202338497, 4177468878, ss2205727701, ss3027976899, ss3697642305, ss3725487141, ss3771820295, ss3818243645, ss3846171595, ss3975878868, ss4986792837, ss5297987290, ss5314563759, ss5491766065, ss5599161315, ss5769214741, ss5815220538, ss5851238785, ss5875357960	NC_000015.10:33211419:G:A	NC_000015.10:33211419:G:A	(self)
ss14253157, ss16663575, ss21232912	NT_010194.16:4294177:G:A	NC_000015.10:33211419:G:A	(self)
ss6595312, ss24612699, ss43684542, ss69172360, ss82121747, ss106420708, ss132389083, ss134223006, ss156394020, ss160710737	NT_010194.17:4294177:G:A	NC_000015.10:33211419:G:A	(self)
38949132, ss3931771738	NC_000015.9:33503620:G:T	NC_000015.10:33211419:G:T	(self)
24515, 4177468878, ss5314563759	NC_000015.10:33211419:G:T	NC_000015.10:33211419:G:T	(self)

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

No publications for rs4780095

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
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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.
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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs4780095