Name: rs11674089
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.

rs11674089

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr2:26364208 (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>C / G>T
Variation Type: SNV Single Nucleotide Variation
Frequency: A=0.272587 (72151/264690, TOPMED)
A=0.284692 (39661/139312, GnomAD)
A=0.33807 (23946/70832, ALFA) (+ 20 more)
A=0.15512 (4383/28256, 14KJPN)
A=0.15268 (2559/16760, 8.3KJPN)
A=0.2470 (1582/6404, 1000G_30x)
A=0.2546 (1275/5008, 1000G)
A=0.3720 (1666/4478, Estonian)
A=0.3345 (1289/3854, ALSPAC)
A=0.3487 (1293/3708, TWINSUK)
A=0.1993 (584/2930, KOREAN)
A=0.3018 (629/2084, HGDP_Stanford)
A=0.2138 (404/1890, HapMap)
A=0.1932 (354/1832, Korea1K)
A=0.359 (358/998, GoNL)
A=0.335 (201/600, NorthernSweden)
A=0.277 (148/534, MGP)
G=0.397 (108/272, SGDP_PRJ)
A=0.227 (49/216, Qatari)
A=0.382 (81/212, Vietnamese)
A=0.47 (34/72, Ancient Sardinia)
A=0.40 (16/40, GENOME_DK)
G=0.37 (14/38, Siberian)

Clinical Significance: Reported in ClinVar
Gene : Consequence: SELENOI : 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: 20231103111315

Population	Group	Sample Size	Ref Allele	Alt Allele	Ref HMOZ	Alt HMOZ	HTRZ	HWEP
Total	Global	70832	G=0.66193	A=0.33807, C=0.00000, T=0.00000	0.444234	0.120369	0.435396	14
European	Sub	58338	G=0.64209	A=0.35791, C=0.00000, T=0.00000	0.414378	0.130207	0.455415	2
African	Sub	4398	G=0.8918	A=0.1082, C=0.0000, T=0.0000	0.795362	0.011824	0.192815	0
African Others	Sub	166	G=0.976	A=0.024, C=0.000, T=0.000	0.951807	0.0	0.048193	0
African American	Sub	4232	G=0.8885	A=0.1115, C=0.0000, T=0.0000	0.789225	0.012287	0.198488	0
Asian	Sub	190	G=0.726	A=0.274, C=0.000, T=0.000	0.526316	0.073684	0.4	0
East Asian	Sub	148	G=0.757	A=0.243, C=0.000, T=0.000	0.567568	0.054054	0.378378	0
Other Asian	Sub	42	G=0.62	A=0.38, C=0.00, T=0.00	0.380952	0.142857	0.47619	0
Latin American 1	Sub	252	G=0.702	A=0.298, C=0.000, T=0.000	0.484127	0.079365	0.436508	0
Latin American 2	Sub	1232	G=0.6688	A=0.3312, C=0.0000, T=0.0000	0.428571	0.090909	0.480519	3
South Asian	Sub	4956	G=0.6766	A=0.3234, C=0.0000, T=0.0000	0.470137	0.11703	0.412833	5
Other	Sub	1466	G=0.6917	A=0.3083, C=0.0000, T=0.0000	0.48704	0.103683	0.409277	1

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=0.727413	A=0.272587
gnomAD - Genomes	Global	Study-wide	139312	G=0.715308	A=0.284692
gnomAD - Genomes	European	Sub	75548	G=0.63421	A=0.36579
gnomAD - Genomes	African	Sub	41688	G=0.88258	A=0.11742
gnomAD - Genomes	American	Sub	13526	G=0.68771	A=0.31229
gnomAD - Genomes	Ashkenazi Jewish	Sub	3312	G=0.5501	A=0.4499
gnomAD - Genomes	East Asian	Sub	3110	G=0.7479	A=0.2521
gnomAD - Genomes	Other	Sub	2128	G=0.7025	A=0.2975
Allele Frequency Aggregator	Total	Global	70832	G=0.66193	A=0.33807, C=0.00000, T=0.00000
Allele Frequency Aggregator	European	Sub	58338	G=0.64209	A=0.35791, C=0.00000, T=0.00000
Allele Frequency Aggregator	South Asian	Sub	4956	G=0.6766	A=0.3234, C=0.0000, T=0.0000
Allele Frequency Aggregator	African	Sub	4398	G=0.8918	A=0.1082, C=0.0000, T=0.0000
Allele Frequency Aggregator	Other	Sub	1466	G=0.6917	A=0.3083, C=0.0000, T=0.0000
Allele Frequency Aggregator	Latin American 2	Sub	1232	G=0.6688	A=0.3312, C=0.0000, T=0.0000
Allele Frequency Aggregator	Latin American 1	Sub	252	G=0.702	A=0.298, C=0.000, T=0.000
Allele Frequency Aggregator	Asian	Sub	190	G=0.726	A=0.274, C=0.000, T=0.000
14KJPN	JAPANESE	Study-wide	28256	G=0.84488	A=0.15512
8.3KJPN	JAPANESE	Study-wide	16760	G=0.84732	A=0.15268
1000Genomes_30x	Global	Study-wide	6404	G=0.7530	A=0.2470
1000Genomes_30x	African	Sub	1786	G=0.9278	A=0.0722
1000Genomes_30x	Europe	Sub	1266	G=0.6319	A=0.3681
1000Genomes_30x	South Asian	Sub	1202	G=0.6905	A=0.3095
1000Genomes_30x	East Asian	Sub	1170	G=0.7222	A=0.2778
1000Genomes_30x	American	Sub	980	G=0.704	A=0.296
1000Genomes	Global	Study-wide	5008	G=0.7454	A=0.2546
1000Genomes	African	Sub	1322	G=0.9251	A=0.0749
1000Genomes	East Asian	Sub	1008	G=0.7133	A=0.2867
1000Genomes	Europe	Sub	1006	G=0.6342	A=0.3658
1000Genomes	South Asian	Sub	978	G=0.682	A=0.318
1000Genomes	American	Sub	694	G=0.700	A=0.300
Genetic variation in the Estonian population	Estonian	Study-wide	4478	G=0.6280	A=0.3720
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	G=0.6655	A=0.3345
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	G=0.6513	A=0.3487
KOREAN population from KRGDB	KOREAN	Study-wide	2930	G=0.8007	A=0.1993
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	G=0.6982	A=0.3018
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	G=0.657	A=0.343
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	G=0.621	A=0.379
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	G=0.657	A=0.343
HGDP-CEPH-db Supplement 1	Europe	Sub	320	G=0.637	A=0.362
HGDP-CEPH-db Supplement 1	Africa	Sub	242	G=0.959	A=0.041
HGDP-CEPH-db Supplement 1	America	Sub	216	G=0.824	A=0.176
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	G=0.62	A=0.38
HapMap	Global	Study-wide	1890	G=0.7862	A=0.2138
HapMap	American	Sub	770	G=0.690	A=0.310
HapMap	African	Sub	690	G=0.932	A=0.068
HapMap	Asian	Sub	254	G=0.795	A=0.205
HapMap	Europe	Sub	176	G=0.625	A=0.375
Korean Genome Project	KOREAN	Study-wide	1832	G=0.8068	A=0.1932
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	G=0.641	A=0.359
Northern Sweden	ACPOP	Study-wide	600	G=0.665	A=0.335
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	G=0.723	A=0.277
SGDP_PRJ	Global	Study-wide	272	G=0.397	A=0.603
Qatari	Global	Study-wide	216	G=0.773	A=0.227
A Vietnamese Genetic Variation Database	Global	Study-wide	212	G=0.618	A=0.382
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	72	G=0.53	A=0.47
The Danish reference pan genome	Danish	Study-wide	40	G=0.60	A=0.40
Siberian	Global	Study-wide	38	G=0.37	A=0.63

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 2	NC_000002.12:g.26364208G>A
GRCh38.p14 chr 2	NC_000002.12:g.26364208G>C
GRCh38.p14 chr 2	NC_000002.12:g.26364208G>T
GRCh37.p13 chr 2	NC_000002.11:g.26587076G>A
GRCh37.p13 chr 2	NC_000002.11:g.26587076G>C
GRCh37.p13 chr 2	NC_000002.11:g.26587076G>T

Gene: SELENOI, selenoprotein I (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
SELENOI transcript variant 1	NM_033505.4:c.58-94G>A	N/A	Intron Variant
SELENOI transcript variant 2	NR_137633.2: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.

Allele: A (allele ID: 1229640 )

ClinVar Accession	Disease Names	Clinical Significance
RCV001636218.3	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	G=	A	C	T
GRCh38.p14 chr 2	NC_000002.12:g.26364208=	NC_000002.12:g.26364208G>A	NC_000002.12:g.26364208G>C	NC_000002.12:g.26364208G>T
GRCh37.p13 chr 2	NC_000002.11:g.26587076=	NC_000002.11:g.26587076G>A	NC_000002.11:g.26587076G>C	NC_000002.11:g.26587076G>T
EPT1 transcript	NM_033505.2:c.58-94=	NM_033505.2:c.58-94G>A	NM_033505.2:c.58-94G>C	NM_033505.2:c.58-94G>T
SELENOI transcript variant 1	NM_033505.4:c.58-94=	NM_033505.4:c.58-94G>A	NM_033505.4:c.58-94G>C	NM_033505.4:c.58-94G>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#.

98 SubSNP, 23 Frequency, 1 ClinVar submissions

No	Submitter	Submission ID	Date (Build)
1	CSHL-HAPMAP	ss16811254	Feb 28, 2004 (120)
2	ABI	ss41749424	Mar 15, 2006 (126)
3	ILLUMINA	ss66700476	Dec 01, 2006 (127)
4	ILLUMINA	ss66943501	Dec 01, 2006 (127)
5	ILLUMINA	ss67105087	Dec 01, 2006 (127)
6	ILLUMINA	ss70397013	May 17, 2007 (127)
7	ILLUMINA	ss70535890	May 24, 2008 (130)
8	ILLUMINA	ss71067232	May 17, 2007 (127)
9	ILLUMINA	ss75642531	Dec 07, 2007 (129)
10	KRIBB_YJKIM	ss85118544	Dec 14, 2007 (130)
11	HUMANGENOME_JCVI	ss97022160	Feb 04, 2009 (130)
12	1000GENOMES	ss109334322	Jan 24, 2009 (130)
13	ILLUMINA	ss121489868	Dec 01, 2009 (131)
14	ENSEMBL	ss135912908	Dec 01, 2009 (131)
15	ILLUMINA	ss153026565	Dec 01, 2009 (131)
16	ILLUMINA	ss159182737	Dec 01, 2009 (131)
17	COMPLETE_GENOMICS	ss166309511	Jul 04, 2010 (132)
18	ILLUMINA	ss169913420	Jul 04, 2010 (132)
19	ILLUMINA	ss171425586	Jul 04, 2010 (132)
20	BCM-HGSC-SUB	ss205823130	Jul 04, 2010 (132)
21	1000GENOMES	ss219130367	Jul 14, 2010 (132)
22	1000GENOMES	ss231083948	Jul 14, 2010 (132)
23	1000GENOMES	ss238658341	Jul 15, 2010 (132)
24	BL	ss252984972	May 09, 2011 (134)
25	GMI	ss276392828	May 04, 2012 (137)
26	GMI	ss284311364	Apr 25, 2013 (138)
27	PJP	ss292530848	May 09, 2011 (134)
28	ILLUMINA	ss536711117	Sep 08, 2015 (146)
29	SSMP	ss649009194	Apr 25, 2013 (138)
30	ILLUMINA	ss825366408	Apr 01, 2015 (144)
31	ILLUMINA	ss832695239	Jul 12, 2019 (153)
32	EVA-GONL	ss976608076	Aug 21, 2014 (142)
33	JMKIDD_LAB	ss1068948133	Aug 21, 2014 (142)
34	1000GENOMES	ss1296366672	Aug 21, 2014 (142)
35	DDI	ss1428512748	Apr 01, 2015 (144)
36	EVA_GENOME_DK	ss1578788070	Apr 01, 2015 (144)
37	EVA_DECODE	ss1586012035	Apr 01, 2015 (144)
38	EVA_UK10K_ALSPAC	ss1603053726	Apr 01, 2015 (144)
39	EVA_UK10K_TWINSUK	ss1646047759	Apr 01, 2015 (144)
40	EVA_MGP	ss1710956747	Apr 01, 2015 (144)
41	EVA_SVP	ss1712439702	Apr 01, 2015 (144)
42	HAMMER_LAB	ss1796445068	Sep 08, 2015 (146)
43	WEILL_CORNELL_DGM	ss1919839984	Feb 12, 2016 (147)
44	GENOMED	ss1968720561	Jul 19, 2016 (147)
45	JJLAB	ss2020448571	Sep 14, 2016 (149)
46	USC_VALOUEV	ss2148492871	Dec 20, 2016 (150)
47	HUMAN_LONGEVITY	ss2228464889	Dec 20, 2016 (150)
48	SYSTEMSBIOZJU	ss2624739899	Nov 08, 2017 (151)
49	GRF	ss2703053866	Nov 08, 2017 (151)
50	GNOMAD	ss2771015618	Nov 08, 2017 (151)
51	SWEGEN	ss2989161563	Nov 08, 2017 (151)
52	BIOINF_KMB_FNS_UNIBA	ss3023990809	Nov 08, 2017 (151)
53	CSHL	ss3344127584	Nov 08, 2017 (151)
54	ILLUMINA	ss3628016673	Oct 11, 2018 (152)
55	ILLUMINA	ss3638248377	Oct 11, 2018 (152)
56	ILLUMINA	ss3639129012	Oct 11, 2018 (152)
57	ILLUMINA	ss3639575948	Oct 11, 2018 (152)
58	ILLUMINA	ss3643219407	Oct 11, 2018 (152)
59	URBANLAB	ss3646989939	Oct 11, 2018 (152)
60	EGCUT_WGS	ss3657116122	Jul 12, 2019 (153)
61	EVA_DECODE	ss3703475643	Jul 12, 2019 (153)
62	ACPOP	ss3728251640	Jul 12, 2019 (153)
63	EVA	ss3756495431	Jul 12, 2019 (153)
64	PACBIO	ss3783809488	Jul 12, 2019 (153)
65	PACBIO	ss3789405782	Jul 12, 2019 (153)
66	PACBIO	ss3794278548	Jul 12, 2019 (153)
67	KHV_HUMAN_GENOMES	ss3800876736	Jul 12, 2019 (153)
68	EVA	ss3825596247	Apr 25, 2020 (154)
69	EVA	ss3826877258	Apr 25, 2020 (154)
70	EVA	ss3836845728	Apr 25, 2020 (154)
71	EVA	ss3842260297	Apr 25, 2020 (154)
72	HGDP	ss3847610401	Apr 25, 2020 (154)
73	SGDP_PRJ	ss3851829426	Apr 25, 2020 (154)
74	KRGDB	ss3897239745	Apr 25, 2020 (154)
75	KOGIC	ss3947338112	Apr 25, 2020 (154)
76	FSA-LAB	ss3984170749	Apr 26, 2021 (155)
77	FSA-LAB	ss3984170750	Apr 26, 2021 (155)
78	EVA	ss3984880260	Apr 26, 2021 (155)
79	EVA	ss3986173462	Apr 26, 2021 (155)
80	TOPMED	ss4498113583	Apr 26, 2021 (155)
81	TOMMO_GENOMICS	ss5150385141	Apr 26, 2021 (155)
82	EVA	ss5237168494	Apr 26, 2021 (155)
83	1000G_HIGH_COVERAGE	ss5247313172	Oct 17, 2022 (156)
84	EVA	ss5327545501	Oct 17, 2022 (156)
85	HUGCELL_USP	ss5447585004	Oct 17, 2022 (156)
86	EVA	ss5506331166	Oct 17, 2022 (156)
87	1000G_HIGH_COVERAGE	ss5522140004	Oct 17, 2022 (156)
88	EVA	ss5624097581	Oct 17, 2022 (156)
89	SANFORD_IMAGENETICS	ss5628319584	Oct 17, 2022 (156)
90	TOMMO_GENOMICS	ss5678725703	Oct 17, 2022 (156)
91	EVA	ss5800093186	Oct 17, 2022 (156)
92	YY_MCH	ss5802023649	Oct 17, 2022 (156)
93	EVA	ss5819810595	Oct 17, 2022 (156)
94	EVA	ss5848509584	Oct 17, 2022 (156)
95	EVA	ss5852437277	Oct 17, 2022 (156)
96	EVA	ss5929489543	Oct 17, 2022 (156)
97	EVA	ss5954520870	Oct 17, 2022 (156)
98	EVA	ss5981203498	Oct 17, 2022 (156)
99	1000Genomes	NC_000002.11 - 26587076	Oct 11, 2018 (152)
100	1000Genomes_30x	NC_000002.12 - 26364208	Oct 17, 2022 (156)
101	The Avon Longitudinal Study of Parents and Children	NC_000002.11 - 26587076	Oct 11, 2018 (152)
102	Genetic variation in the Estonian population	NC_000002.11 - 26587076	Oct 11, 2018 (152)
103	The Danish reference pan genome	NC_000002.11 - 26587076	Apr 25, 2020 (154)
104	gnomAD - Genomes	NC_000002.12 - 26364208	Apr 26, 2021 (155)
105	Genome of the Netherlands Release 5	NC_000002.11 - 26587076	Apr 25, 2020 (154)
106	HGDP-CEPH-db Supplement 1	NC_000002.10 - 26440580	Apr 25, 2020 (154)
107	HapMap	NC_000002.12 - 26364208	Apr 25, 2020 (154)
108	KOREAN population from KRGDB	NC_000002.11 - 26587076	Apr 25, 2020 (154)
109	Korean Genome Project	NC_000002.12 - 26364208	Apr 25, 2020 (154)
110	Medical Genome Project healthy controls from Spanish population	NC_000002.11 - 26587076	Apr 25, 2020 (154)
111	Northern Sweden	NC_000002.11 - 26587076	Jul 12, 2019 (153)
112	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000002.11 - 26587076	Apr 26, 2021 (155)
113	Qatari	NC_000002.11 - 26587076	Apr 25, 2020 (154)
114	SGDP_PRJ	NC_000002.11 - 26587076	Apr 25, 2020 (154)
115	Siberian	NC_000002.11 - 26587076	Apr 25, 2020 (154)
116	8.3KJPN	NC_000002.11 - 26587076	Apr 26, 2021 (155)
117	14KJPN	NC_000002.12 - 26364208	Oct 17, 2022 (156)
118	TopMed	NC_000002.12 - 26364208	Apr 26, 2021 (155)
119	UK 10K study - Twins	NC_000002.11 - 26587076	Oct 11, 2018 (152)
120	A Vietnamese Genetic Variation Database	NC_000002.11 - 26587076	Jul 12, 2019 (153)
121	ALFA	NC_000002.12 - 26364208	Apr 26, 2021 (155)
122	ClinVar	RCV001636218.3	Oct 17, 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)
rs58112830	May 24, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss3639129012, ss3639575948	NC_000002.9:26498726:G:A	NC_000002.12:26364207:G:A	(self)
288293, ss109334322, ss166309511, ss205823130, ss252984972, ss276392828, ss284311364, ss292530848, ss825366408, ss1586012035, ss1712439702, ss3643219407, ss3847610401	NC_000002.10:26440579:G:A	NC_000002.12:26364207:G:A	(self)
7284038, 4044124, 2854370, 4964220, 1777560, 4417139, 73499, 1536505, 106187, 1881914, 3846406, 1009225, 8354448, 4044124, 881981, ss219130367, ss231083948, ss238658341, ss536711117, ss649009194, ss832695239, ss976608076, ss1068948133, ss1296366672, ss1428512748, ss1578788070, ss1603053726, ss1646047759, ss1710956747, ss1796445068, ss1919839984, ss1968720561, ss2020448571, ss2148492871, ss2624739899, ss2703053866, ss2771015618, ss2989161563, ss3344127584, ss3628016673, ss3638248377, ss3657116122, ss3728251640, ss3756495431, ss3783809488, ss3789405782, ss3794278548, ss3825596247, ss3826877258, ss3836845728, ss3851829426, ss3897239745, ss3984170749, ss3984170750, ss3984880260, ss3986173462, ss5150385141, ss5327545501, ss5506331166, ss5624097581, ss5628319584, ss5800093186, ss5819810595, ss5848509584, ss5954520870, ss5981203498	NC_000002.11:26587075:G:A	NC_000002.12:26364207:G:A	(self)
RCV001636218.3, 9665939, 51755095, 1757494, 3716113, 12562807, 301936462, 15023656497, ss2228464889, ss3023990809, ss3646989939, ss3703475643, ss3800876736, ss3842260297, ss3947338112, ss4498113583, ss5237168494, ss5247313172, ss5447585004, ss5522140004, ss5678725703, ss5802023649, ss5852437277, ss5929489543	NC_000002.12:26364207:G:A	NC_000002.12:26364207:G:A	(self)
ss16811254	NT_022184.13:5403008:G:A	NC_000002.12:26364207:G:A	(self)
ss41749424, ss66700476, ss66943501, ss67105087, ss70397013, ss70535890, ss71067232, ss75642531, ss85118544, ss97022160, ss121489868, ss135912908, ss153026565, ss159182737, ss169913420, ss171425586	NT_022184.15:5408962:G:A	NC_000002.12:26364207:G:A	(self)
15023656497	NC_000002.12:26364207:G:C	NC_000002.12:26364207:G:C	(self)
15023656497	NC_000002.12:26364207:G:T	NC_000002.12:26364207:G:T	(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 rs11674089

PMID	Title	Author	Year	Journal
18304490	Phenotypically concordant and discordant monozygotic twins display different DNA copy-number-variation profiles.	Bruder CE et al.	2008	American journal of human genetics

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

rs11674089