Name: rs3934834
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.

rs3934834

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr1:1070426 (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=0.198217 (52466/264690, TOPMED)
T=0.162366 (30934/190520, ALFA)
T=0.206903 (28990/140114, GnomAD) (+ 18 more)
T=0.10071 (2846/28258, 14KJPN)
T=0.10107 (1694/16760, 8.3KJPN)
T=0.2305 (1476/6404, 1000G_30x)
T=0.2234 (1119/5008, 1000G)
T=0.1978 (886/4480, Estonian)
T=0.1489 (574/3854, ALSPAC)
T=0.1451 (538/3708, TWINSUK)
T=0.1015 (297/2926, KOREAN)
T=0.1838 (383/2084, HGDP_Stanford)
T=0.2304 (435/1888, HapMap)
T=0.1012 (184/1818, Korea1K)
T=0.157 (94/600, NorthernSweden)
T=0.315 (68/216, Qatari)
T=0.089 (19/214, Vietnamese)
C=0.438 (71/162, SGDP_PRJ)
T=0.18 (16/90, Ancient Sardinia)
T=0.20 (8/40, GENOME_DK)
C=0.39 (11/28, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: LOC105378948 : 2KB Upstream Variant
Publications: 3 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	190614	C=0.837635	T=0.162365
European	Sub	167496	C=0.843113	T=0.156887
African	Sub	6556	C=0.6998	T=0.3002
African Others	Sub	236	C=0.627	T=0.373
African American	Sub	6320	C=0.7025	T=0.2975
Asian	Sub	524	C=0.876	T=0.124
East Asian	Sub	444	C=0.903	T=0.097
Other Asian	Sub	80	C=0.72	T=0.28
Latin American 1	Sub	688	C=0.820	T=0.180
Latin American 2	Sub	5560	C=0.8980	T=0.1020
South Asian	Sub	5006	C=0.7763	T=0.2237
Other	Sub	4784	C=0.8271	T=0.1729

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	C=0.801783	T=0.198217
Allele Frequency Aggregator	Total	Global	190520	C=0.837634	T=0.162366
Allele Frequency Aggregator	European	Sub	167420	C=0.843119	T=0.156881
Allele Frequency Aggregator	African	Sub	6556	C=0.6998	T=0.3002
Allele Frequency Aggregator	Latin American 2	Sub	5560	C=0.8980	T=0.1020
Allele Frequency Aggregator	South Asian	Sub	5006	C=0.7763	T=0.2237
Allele Frequency Aggregator	Other	Sub	4766	C=0.8269	T=0.1731
Allele Frequency Aggregator	Latin American 1	Sub	688	C=0.820	T=0.180
Allele Frequency Aggregator	Asian	Sub	524	C=0.876	T=0.124
gnomAD - Genomes	Global	Study-wide	140114	C=0.793097	T=0.206903
gnomAD - Genomes	European	Sub	75866	C=0.83313	T=0.16687
gnomAD - Genomes	African	Sub	41988	C=0.68801	T=0.31199
gnomAD - Genomes	American	Sub	13656	C=0.87009	T=0.12991
gnomAD - Genomes	Ashkenazi Jewish	Sub	3320	C=0.7964	T=0.2036
gnomAD - Genomes	East Asian	Sub	3130	C=0.8821	T=0.1179
gnomAD - Genomes	Other	Sub	2154	C=0.8092	T=0.1908
14KJPN	JAPANESE	Study-wide	28258	C=0.89929	T=0.10071
8.3KJPN	JAPANESE	Study-wide	16760	C=0.89893	T=0.10107
1000Genomes_30x	Global	Study-wide	6404	C=0.7695	T=0.2305
1000Genomes_30x	African	Sub	1786	C=0.5963	T=0.4037
1000Genomes_30x	Europe	Sub	1266	C=0.8333	T=0.1667
1000Genomes_30x	South Asian	Sub	1202	C=0.7654	T=0.2346
1000Genomes_30x	East Asian	Sub	1170	C=0.8684	T=0.1316
1000Genomes_30x	American	Sub	980	C=0.890	T=0.110
1000Genomes	Global	Study-wide	5008	C=0.7766	T=0.2234
1000Genomes	African	Sub	1322	C=0.6059	T=0.3941
1000Genomes	East Asian	Sub	1008	C=0.8710	T=0.1290
1000Genomes	Europe	Sub	1006	C=0.8320	T=0.1680
1000Genomes	South Asian	Sub	978	C=0.775	T=0.225
1000Genomes	American	Sub	694	C=0.886	T=0.114
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.8022	T=0.1978
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.8511	T=0.1489
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.8549	T=0.1451
KOREAN population from KRGDB	KOREAN	Study-wide	2926	C=0.8985	T=0.1015
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	C=0.8162	T=0.1838
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	C=0.900	T=0.100
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	C=0.821	T=0.179
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	C=0.766	T=0.234
HGDP-CEPH-db Supplement 1	Europe	Sub	320	C=0.816	T=0.184
HGDP-CEPH-db Supplement 1	Africa	Sub	242	C=0.537	T=0.463
HGDP-CEPH-db Supplement 1	America	Sub	216	C=0.968	T=0.032
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	C=0.97	T=0.03
HapMap	Global	Study-wide	1888	C=0.7696	T=0.2304
HapMap	American	Sub	770	C=0.851	T=0.149
HapMap	African	Sub	690	C=0.636	T=0.364
HapMap	Asian	Sub	252	C=0.857	T=0.143
HapMap	Europe	Sub	176	C=0.812	T=0.188
Korean Genome Project	KOREAN	Study-wide	1818	C=0.8988	T=0.1012
Northern Sweden	ACPOP	Study-wide	600	C=0.843	T=0.157
Qatari	Global	Study-wide	216	C=0.685	T=0.315
A Vietnamese Genetic Variation Database	Global	Study-wide	214	C=0.911	T=0.089
SGDP_PRJ	Global	Study-wide	162	C=0.438	T=0.562
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	90	C=0.82	T=0.18
The Danish reference pan genome	Danish	Study-wide	40	C=0.80	T=0.20
Siberian	Global	Study-wide	28	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.

Genomic Placements

Sequence name	Change
GRCh38.p14 chr 1	NC_000001.11:g.1070426C>T
GRCh37.p13 chr 1	NC_000001.10:g.1005806C>T

Gene: LOC105378948, uncharacterized LOC105378948 (minus strand) : 2KB Upstream Variant

Molecule type	Change	Amino acid[Codon]	SO Term
LOC105378948 transcript variant 1	NR_168432.1:n.	N/A	Upstream Transcript Variant
LOC105378948 transcript variant 2	NR_168433.1:n.	N/A	Upstream Transcript 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	C=	T
GRCh38.p14 chr 1	NC_000001.11:g.1070426=	NC_000001.11:g.1070426C>T
GRCh37.p13 chr 1	NC_000001.10:g.1005806=	NC_000001.10:g.1005806C>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#.

110 SubSNP, 21 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	TSC-CSHL	ss5192802	Oct 10, 2002 (108)
2	SC_JCM	ss5802297	Feb 20, 2003 (111)
3	SC_SNP	ss15432183	Feb 27, 2004 (120)
4	ILLUMINA	ss66715090	Nov 30, 2006 (127)
5	ILLUMINA	ss67311938	Nov 30, 2006 (127)
6	ILLUMINA	ss67717847	Nov 30, 2006 (127)
7	ILLUMINA	ss70790589	May 25, 2008 (130)
8	ILLUMINA	ss71368030	May 17, 2007 (127)
9	ILLUMINA	ss75651757	Dec 07, 2007 (129)
10	ILLUMINA	ss79173317	Dec 15, 2007 (130)
11	HGSV	ss80716471	Dec 15, 2007 (130)
12	KRIBB_YJKIM	ss84218715	Dec 15, 2007 (130)
13	HUMANGENOME_JCVI	ss99179669	Feb 05, 2009 (130)
14	ILLUMINA-UK	ss118440035	Feb 14, 2009 (130)
15	ILLUMINA	ss122258861	Dec 01, 2009 (131)
16	ENSEMBL	ss138842779	Dec 01, 2009 (131)
17	ILLUMINA	ss154278760	Dec 01, 2009 (131)
18	ILLUMINA	ss159455395	Dec 01, 2009 (131)
19	ILLUMINA	ss160656076	Dec 01, 2009 (131)
20	COMPLETE_GENOMICS	ss163706756	Jul 04, 2010 (132)
21	ILLUMINA	ss171718110	Jul 04, 2010 (132)
22	ILLUMINA	ss173675726	Jul 04, 2010 (132)
23	BUSHMAN	ss197888230	Jul 04, 2010 (132)
24	1000GENOMES	ss210449427	Jul 14, 2010 (132)
25	1000GENOMES	ss218191675	Jul 14, 2010 (132)
26	1000GENOMES	ss230396284	Jul 14, 2010 (132)
27	1000GENOMES	ss238115854	Jul 15, 2010 (132)
28	GMI	ss275682264	May 04, 2012 (137)
29	PJP	ss290494263	May 09, 2011 (134)
30	PAGE_STUDY	ss469415111	May 04, 2012 (137)
31	ILLUMINA	ss480877429	May 04, 2012 (137)
32	ILLUMINA	ss480896148	May 04, 2012 (137)
33	ILLUMINA	ss481838957	Sep 08, 2015 (146)
34	ILLUMINA	ss485233812	May 04, 2012 (137)
35	EXOME_CHIP	ss491284039	May 04, 2012 (137)
36	TISHKOFF	ss553713003	Apr 25, 2013 (138)
37	SSMP	ss647518062	Apr 25, 2013 (138)
38	ILLUMINA	ss783062839	Sep 08, 2015 (146)
39	ILLUMINA	ss825503835	Apr 01, 2015 (144)
40	ILLUMINA	ss832320831	Sep 08, 2015 (146)
41	ILLUMINA	ss832966918	Jul 12, 2019 (153)
42	EVA-GONL	ss974771573	Aug 21, 2014 (142)
43	1000GENOMES	ss1289348538	Aug 21, 2014 (142)
44	DDI	ss1425685685	Apr 01, 2015 (144)
45	EVA_GENOME_DK	ss1573851846	Apr 01, 2015 (144)
46	EVA_UK10K_ALSPAC	ss1599381743	Apr 01, 2015 (144)
47	EVA_UK10K_TWINSUK	ss1642375776	Apr 01, 2015 (144)
48	EVA_SVP	ss1712305533	Apr 01, 2015 (144)
49	ILLUMINA	ss1751859371	Sep 08, 2015 (146)
50	HAMMER_LAB	ss1793716159	Sep 08, 2015 (146)
51	WEILL_CORNELL_DGM	ss1917963286	Feb 12, 2016 (147)
52	ILLUMINA	ss1958230708	Feb 12, 2016 (147)
53	JJLAB	ss2019499586	Sep 14, 2016 (149)
54	ILLUMINA	ss2137543863	Oct 11, 2018 (152)
55	USC_VALOUEV	ss2147486245	Dec 20, 2016 (150)
56	HUMAN_LONGEVITY	ss2159382527	Dec 20, 2016 (150)
57	SYSTEMSBIOZJU	ss2624265413	Nov 08, 2017 (151)
58	ILLUMINA	ss2632465707	Nov 08, 2017 (151)
59	GRF	ss2697377179	Nov 08, 2017 (151)
60	GNOMAD	ss2750666656	Nov 08, 2017 (151)
61	AFFY	ss2984841232	Nov 08, 2017 (151)
62	AFFY	ss2985495002	Nov 08, 2017 (151)
63	SWEGEN	ss2986153612	Nov 08, 2017 (151)
64	ILLUMINA	ss3021043670	Nov 08, 2017 (151)
65	BIOINF_KMB_FNS_UNIBA	ss3023514190	Nov 08, 2017 (151)
66	CSHL	ss3343273944	Nov 08, 2017 (151)
67	ILLUMINA	ss3632878057	Oct 11, 2018 (152)
68	ILLUMINA	ss3633571471	Oct 11, 2018 (152)
69	ILLUMINA	ss3634302051	Oct 11, 2018 (152)
70	ILLUMINA	ss3635265675	Oct 11, 2018 (152)
71	ILLUMINA	ss3635978698	Oct 11, 2018 (152)
72	ILLUMINA	ss3637016015	Oct 11, 2018 (152)
73	ILLUMINA	ss3637732484	Oct 11, 2018 (152)
74	ILLUMINA	ss3638887861	Oct 11, 2018 (152)
75	ILLUMINA	ss3640009417	Oct 11, 2018 (152)
76	ILLUMINA	ss3640973164	Oct 11, 2018 (152)
77	ILLUMINA	ss3641266979	Oct 11, 2018 (152)
78	ILLUMINA	ss3642746756	Oct 11, 2018 (152)
79	URBANLAB	ss3646581796	Oct 11, 2018 (152)
80	ILLUMINA	ss3651365722	Oct 11, 2018 (152)
81	ILLUMINA	ss3653614996	Oct 11, 2018 (152)
82	EGCUT_WGS	ss3654264750	Jul 12, 2019 (153)
83	EVA_DECODE	ss3685997098	Jul 12, 2019 (153)
84	ACPOP	ss3726718339	Jul 12, 2019 (153)
85	ILLUMINA	ss3744602982	Jul 12, 2019 (153)
86	EVA	ss3745723760	Jul 12, 2019 (153)
87	ILLUMINA	ss3772104740	Jul 12, 2019 (153)
88	KHV_HUMAN_GENOMES	ss3798746399	Jul 12, 2019 (153)
89	EVA	ss3825982435	Apr 25, 2020 (154)
90	HGDP	ss3847322111	Apr 25, 2020 (154)
91	SGDP_PRJ	ss3848002320	Apr 25, 2020 (154)
92	KRGDB	ss3892844683	Apr 25, 2020 (154)
93	KOGIC	ss3943635214	Apr 25, 2020 (154)
94	EVA	ss3984774087	Apr 25, 2021 (155)
95	EVA	ss4016889103	Apr 25, 2021 (155)
96	TOPMED	ss4436507083	Apr 25, 2021 (155)
97	TOMMO_GENOMICS	ss5142064597	Apr 25, 2021 (155)
98	1000G_HIGH_COVERAGE	ss5240871941	Oct 12, 2022 (156)
99	EVA	ss5314586030	Oct 12, 2022 (156)
100	EVA	ss5316197452	Oct 12, 2022 (156)
101	HUGCELL_USP	ss5442118960	Oct 12, 2022 (156)
102	1000G_HIGH_COVERAGE	ss5512500074	Oct 12, 2022 (156)
103	SANFORD_IMAGENETICS	ss5624754468	Oct 12, 2022 (156)
104	TOMMO_GENOMICS	ss5666208138	Oct 12, 2022 (156)
105	EVA	ss5799472561	Oct 12, 2022 (156)
106	YY_MCH	ss5800245931	Oct 12, 2022 (156)
107	EVA	ss5831422072	Oct 12, 2022 (156)
108	EVA	ss5848749625	Oct 12, 2022 (156)
109	EVA	ss5906713260	Oct 12, 2022 (156)
110	EVA	ss5936586835	Oct 12, 2022 (156)
111	1000Genomes	NC_000001.10 - 1005806	Oct 11, 2018 (152)
112	1000Genomes_30x	NC_000001.11 - 1070426	Oct 12, 2022 (156)
113	The Avon Longitudinal Study of Parents and Children	NC_000001.10 - 1005806	Oct 11, 2018 (152)
114	Genetic variation in the Estonian population	NC_000001.10 - 1005806	Oct 11, 2018 (152)
115	The Danish reference pan genome	NC_000001.10 - 1005806	Apr 25, 2020 (154)
116	gnomAD - Genomes	NC_000001.11 - 1070426	Apr 25, 2021 (155)
117	HGDP-CEPH-db Supplement 1	NC_000001.9 - 995669	Apr 25, 2020 (154)
118	HapMap	NC_000001.11 - 1070426	Apr 25, 2020 (154)
119	KOREAN population from KRGDB	NC_000001.10 - 1005806	Apr 25, 2020 (154)
120	Korean Genome Project	NC_000001.11 - 1070426	Apr 25, 2020 (154)
121	Northern Sweden	NC_000001.10 - 1005806	Jul 12, 2019 (153)
122	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000001.10 - 1005806	Apr 25, 2021 (155)
123	Qatari	NC_000001.10 - 1005806	Apr 25, 2020 (154)
124	SGDP_PRJ	NC_000001.10 - 1005806	Apr 25, 2020 (154)
125	Siberian	NC_000001.10 - 1005806	Apr 25, 2020 (154)
126	8.3KJPN	NC_000001.10 - 1005806	Apr 25, 2021 (155)
127	14KJPN	NC_000001.11 - 1070426	Oct 12, 2022 (156)
128	TopMed	NC_000001.11 - 1070426	Apr 25, 2021 (155)
129	UK 10K study - Twins	NC_000001.10 - 1005806	Oct 11, 2018 (152)
130	A Vietnamese Genetic Variation Database	NC_000001.10 - 1005806	Jul 12, 2019 (153)
131	ALFA	NC_000001.11 - 1070426	Apr 25, 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)
rs59556368	May 25, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss80716471, ss2137543863, ss3638887861	NC_000001.8:1045728:C:T	NC_000001.11:1070425:C:T	(self)
3, ss118440035, ss163706756, ss197888230, ss210449427, ss275682264, ss290494263, ss480877429, ss825503835, ss1712305533, ss3642746756, ss3847322111	NC_000001.9:995668:C:T	NC_000001.11:1070425:C:T	(self)
13618, 4073, 2998, 1359080, 22077, 3204, 14, 5216, 19300, 2599, 33904, 4073, 937, ss218191675, ss230396284, ss238115854, ss480896148, ss481838957, ss485233812, ss491284039, ss553713003, ss647518062, ss783062839, ss832320831, ss832966918, ss974771573, ss1289348538, ss1425685685, ss1573851846, ss1599381743, ss1642375776, ss1751859371, ss1793716159, ss1917963286, ss1958230708, ss2019499586, ss2147486245, ss2624265413, ss2632465707, ss2697377179, ss2750666656, ss2984841232, ss2985495002, ss2986153612, ss3021043670, ss3343273944, ss3632878057, ss3633571471, ss3634302051, ss3635265675, ss3635978698, ss3637016015, ss3637732484, ss3640009417, ss3640973164, ss3641266979, ss3651365722, ss3653614996, ss3654264750, ss3726718339, ss3744602982, ss3745723760, ss3772104740, ss3825982435, ss3848002320, ss3892844683, ss3984774087, ss4016889103, ss5142064597, ss5314586030, ss5316197452, ss5624754468, ss5799472561, ss5831422072, ss5936586835	NC_000001.10:1005805:C:T	NC_000001.11:1070425:C:T	(self)
26009, 129935, 173, 13215, 45242, 113418, 7469926137, ss2159382527, ss3023514190, ss3646581796, ss3685997098, ss3798746399, ss3943635214, ss4436507083, ss5240871941, ss5442118960, ss5512500074, ss5666208138, ss5800245931, ss5848749625, ss5906713260	NC_000001.11:1070425:C:T	NC_000001.11:1070425:C:T	(self)
ss5192802, ss5802297, ss66715090, ss67311938, ss67717847, ss70790589, ss71368030, ss75651757, ss79173317, ss84218715, ss99179669, ss122258861, ss138842779, ss154278760, ss159455395, ss160656076, ss171718110, ss173675726, ss469415111	NT_004350.19:484437:C:T	NC_000001.11:1070425:C:T	(self)
ss15432183	NT_077913.2:9516:C:T	NC_000001.11:1070425:C:T	(self)

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

3 citations for rs3934834

PMID	Title	Author	Year	Journal
19176549	Genome-wide association analysis by lasso penalized logistic regression.	Wu TT et al.	2009	Bioinformatics (Oxford, England)
20154611	Adaptive genetic variation and heart disease risk.	Parnell LD et al.	2010	Current opinion in lipidology
20964851	CCRaVAT and QuTie-enabling analysis of rare variants in large-scale case control and quantitative trait association studies.	Lawrence R et al.	2010	BMC bioinformatics

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

rs3934834