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dbSNP Short Genetic Variations

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.

rs6759065

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr2:134631627 (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
A>G
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.435619 (115304/264690, TOPMED)
A=0.411062 (104316/253772, ALFA)
A=0.414796 (58098/140064, GnomAD) (+ 21 more)
G=0.49500 (38421/77618, PAGE_STUDY)
G=0.24119 (6815/28256, 14KJPN)
G=0.24344 (4080/16760, 8.3KJPN)
G=0.4789 (3067/6404, 1000G_30x)
G=0.4738 (2373/5008, 1000G)
A=0.3781 (1694/4480, Estonian)
A=0.3425 (1320/3854, ALSPAC)
A=0.3287 (1219/3708, TWINSUK)
G=0.2386 (699/2930, KOREAN)
G=0.4060 (846/2084, HGDP_Stanford)
G=0.4783 (905/1892, HapMap)
G=0.2265 (415/1832, Korea1K)
A=0.332 (331/998, GoNL)
G=0.225 (178/792, PRJEB37584)
A=0.258 (155/600, NorthernSweden)
A=0.309 (102/330, SGDP_PRJ)
G=0.301 (65/216, Qatari)
G=0.344 (73/212, Vietnamese)
G=0.20 (18/88, Ancient Sardinia)
A=0.27 (12/44, Siberian)
A=0.30 (12/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
TMEM163 : Intron Variant
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 258808 A=0.410779 G=0.589221
European Sub 230284 A=0.400162 G=0.599838
African Sub 8748 A=0.4415 G=0.5585
African Others Sub 342 A=0.485 G=0.515
African American Sub 8406 A=0.4397 G=0.5603
Asian Sub 3566 A=0.7608 G=0.2392
East Asian Sub 2866 A=0.7596 G=0.2404
Other Asian Sub 700 A=0.766 G=0.234
Latin American 1 Sub 948 A=0.475 G=0.525
Latin American 2 Sub 2412 A=0.4208 G=0.5792
South Asian Sub 346 A=0.497 G=0.503
Other Sub 12504 A=0.47585 G=0.52415


Help

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").

Download
Study Population Group Sample Size Ref Allele Alt Allele
TopMed Global Study-wide 264690 A=0.435619 G=0.564381
Allele Frequency Aggregator Total Global 253772 A=0.411062 G=0.588938
Allele Frequency Aggregator European Sub 227190 A=0.400665 G=0.599335
Allele Frequency Aggregator Other Sub 11704 A=0.47804 G=0.52196
Allele Frequency Aggregator African Sub 7606 A=0.4397 G=0.5603
Allele Frequency Aggregator Asian Sub 3566 A=0.7608 G=0.2392
Allele Frequency Aggregator Latin American 2 Sub 2412 A=0.4208 G=0.5792
Allele Frequency Aggregator Latin American 1 Sub 948 A=0.475 G=0.525
Allele Frequency Aggregator South Asian Sub 346 A=0.497 G=0.503
gnomAD - Genomes Global Study-wide 140064 A=0.414796 G=0.585204
gnomAD - Genomes European Sub 75882 A=0.36383 G=0.63617
gnomAD - Genomes African Sub 41956 A=0.44775 G=0.55225
gnomAD - Genomes American Sub 13636 A=0.45827 G=0.54173
gnomAD - Genomes Ashkenazi Jewish Sub 3322 A=0.6397 G=0.3603
gnomAD - Genomes East Asian Sub 3122 A=0.7412 G=0.2588
gnomAD - Genomes Other Sub 2146 A=0.4734 G=0.5266
The PAGE Study Global Study-wide 77618 A=0.50500 G=0.49500
The PAGE Study AfricanAmerican Sub 32102 A=0.44471 G=0.55529
The PAGE Study Mexican Sub 10676 A=0.43612 G=0.56388
The PAGE Study Asian Sub 8200 A=0.7556 G=0.2444
The PAGE Study PuertoRican Sub 7804 A=0.4927 G=0.5073
The PAGE Study NativeHawaiian Sub 4478 A=0.7032 G=0.2968
The PAGE Study Cuban Sub 4158 A=0.5207 G=0.4793
The PAGE Study Dominican Sub 3772 A=0.5217 G=0.4783
The PAGE Study CentralAmerican Sub 2402 A=0.4546 G=0.5454
The PAGE Study SouthAmerican Sub 1948 A=0.4759 G=0.5241
The PAGE Study NativeAmerican Sub 1234 A=0.3784 G=0.6216
The PAGE Study SouthAsian Sub 844 A=0.540 G=0.460
14KJPN JAPANESE Study-wide 28256 A=0.75881 G=0.24119
8.3KJPN JAPANESE Study-wide 16760 A=0.75656 G=0.24344
1000Genomes_30x Global Study-wide 6404 A=0.5211 G=0.4789
1000Genomes_30x African Sub 1786 A=0.4815 G=0.5185
1000Genomes_30x Europe Sub 1266 A=0.4084 G=0.5916
1000Genomes_30x South Asian Sub 1202 A=0.5349 G=0.4651
1000Genomes_30x East Asian Sub 1170 A=0.7410 G=0.2590
1000Genomes_30x American Sub 980 A=0.459 G=0.541
1000Genomes Global Study-wide 5008 A=0.5262 G=0.4738
1000Genomes African Sub 1322 A=0.4728 G=0.5272
1000Genomes East Asian Sub 1008 A=0.7341 G=0.2659
1000Genomes Europe Sub 1006 A=0.4304 G=0.5696
1000Genomes South Asian Sub 978 A=0.526 G=0.474
1000Genomes American Sub 694 A=0.465 G=0.535
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.3781 G=0.6219
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.3425 G=0.6575
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.3287 G=0.6713
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.7614 G=0.2386
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 A=0.5940 G=0.4060
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 A=0.721 G=0.279
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 A=0.568 G=0.432
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 A=0.700 G=0.300
HGDP-CEPH-db Supplement 1 Europe Sub 320 A=0.509 G=0.491
HGDP-CEPH-db Supplement 1 Africa Sub 242 A=0.467 G=0.533
HGDP-CEPH-db Supplement 1 America Sub 216 A=0.403 G=0.597
HGDP-CEPH-db Supplement 1 Oceania Sub 72 A=0.78 G=0.22
HapMap Global Study-wide 1892 A=0.5217 G=0.4783
HapMap American Sub 770 A=0.506 G=0.494
HapMap African Sub 692 A=0.428 G=0.572
HapMap Asian Sub 254 A=0.768 G=0.232
HapMap Europe Sub 176 A=0.602 G=0.398
Korean Genome Project KOREAN Study-wide 1832 A=0.7735 G=0.2265
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 A=0.332 G=0.668
CNV burdens in cranial meningiomas Global Study-wide 792 A=0.775 G=0.225
CNV burdens in cranial meningiomas CRM Sub 792 A=0.775 G=0.225
Northern Sweden ACPOP Study-wide 600 A=0.258 G=0.742
SGDP_PRJ Global Study-wide 330 A=0.309 G=0.691
Qatari Global Study-wide 216 A=0.699 G=0.301
A Vietnamese Genetic Variation Database Global Study-wide 212 A=0.656 G=0.344
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 88 A=0.80 G=0.20
Siberian Global Study-wide 44 A=0.27 G=0.73
The Danish reference pan genome Danish Study-wide 40 A=0.30 G=0.70
Help

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.134631627A>G
GRCh37.p13 chr 2 NC_000002.11:g.135389197A>G
Gene: TMEM163, transmembrane protein 163 (minus strand)
Molecule type Change Amino acid[Codon] SO Term
TMEM163 transcript NM_030923.5:c.323-79536T>C N/A Intron Variant
Help

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
Help

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 A= G
GRCh38.p14 chr 2 NC_000002.12:g.134631627= NC_000002.12:g.134631627A>G
GRCh37.p13 chr 2 NC_000002.11:g.135389197= NC_000002.11:g.135389197A>G
TMEM163 transcript NM_030923.4:c.323-79535= NM_030923.4:c.323-79535T>C
TMEM163 transcript NM_030923.5:c.323-79536= NM_030923.5:c.323-79536T>C
TMEM163 transcript variant X1 XM_005263803.1:c.-11-79535= XM_005263803.1:c.-11-79535T>C
Help

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 BCM_SSAHASNP ss10006309 Jul 11, 2003 (116)
2 WUGSC_SSAHASNP ss14478607 Dec 05, 2003 (119)
3 CSHL-HAPMAP ss16826697 Feb 27, 2004 (120)
4 ABI ss44199045 Mar 15, 2006 (126)
5 ILLUMINA ss67855293 Dec 01, 2006 (127)
6 ILLUMINA ss71476427 May 17, 2007 (127)
7 ILLUMINA ss75368773 Dec 06, 2007 (129)
8 HGSV ss77767224 Dec 06, 2007 (129)
9 HGSV ss80962588 Dec 16, 2007 (130)
10 HGSV ss85858094 Dec 16, 2007 (130)
11 BCMHGSC_JDW ss91356799 Mar 24, 2008 (129)
12 HUMANGENOME_JCVI ss97079841 Feb 06, 2009 (130)
13 1000GENOMES ss109910722 Jan 24, 2009 (130)
14 1000GENOMES ss110958780 Jan 25, 2009 (130)
15 ILLUMINA-UK ss117885756 Feb 14, 2009 (130)
16 KRIBB_YJKIM ss119524593 Dec 01, 2009 (131)
17 ENSEMBL ss132838870 Dec 01, 2009 (131)
18 ENSEMBL ss138536533 Dec 01, 2009 (131)
19 GMI ss157713010 Dec 01, 2009 (131)
20 ILLUMINA ss160806764 Dec 01, 2009 (131)
21 COMPLETE_GENOMICS ss164282484 Jul 04, 2010 (132)
22 COMPLETE_GENOMICS ss165269968 Jul 04, 2010 (132)
23 COMPLETE_GENOMICS ss167204112 Jul 04, 2010 (132)
24 ILLUMINA ss174101320 Jul 04, 2010 (132)
25 BUSHMAN ss201089885 Jul 04, 2010 (132)
26 BCM-HGSC-SUB ss205795365 Jul 04, 2010 (132)
27 1000GENOMES ss219525009 Jul 14, 2010 (132)
28 1000GENOMES ss231372076 Jul 14, 2010 (132)
29 1000GENOMES ss238878460 Jul 15, 2010 (132)
30 BL ss253505944 May 09, 2011 (134)
31 GMI ss276691087 May 04, 2012 (137)
32 GMI ss284442657 Apr 25, 2013 (138)
33 PJP ss292373119 May 09, 2011 (134)
34 ILLUMINA ss481345229 May 04, 2012 (137)
35 ILLUMINA ss481370793 May 04, 2012 (137)
36 ILLUMINA ss482350460 Sep 08, 2015 (146)
37 ILLUMINA ss485467780 May 04, 2012 (137)
38 ILLUMINA ss537388971 Sep 08, 2015 (146)
39 TISHKOFF ss555892615 Apr 25, 2013 (138)
40 SSMP ss649519987 Apr 25, 2013 (138)
41 ILLUMINA ss778579468 Sep 08, 2015 (146)
42 ILLUMINA ss783179365 Sep 08, 2015 (146)
43 ILLUMINA ss784134712 Sep 08, 2015 (146)
44 ILLUMINA ss832438999 Sep 08, 2015 (146)
45 ILLUMINA ss834036572 Sep 08, 2015 (146)
46 EVA-GONL ss977384562 Aug 21, 2014 (142)
47 JMKIDD_LAB ss1069515171 Aug 21, 2014 (142)
48 1000GENOMES ss1299429730 Aug 21, 2014 (142)
49 DDI ss1428748542 Apr 01, 2015 (144)
50 EVA_GENOME_DK ss1579097126 Apr 01, 2015 (144)
51 EVA_DECODE ss1586812936 Apr 01, 2015 (144)
52 EVA_UK10K_ALSPAC ss1604618161 Apr 01, 2015 (144)
53 EVA_UK10K_TWINSUK ss1647612194 Apr 01, 2015 (144)
54 EVA_SVP ss1712491880 Apr 01, 2015 (144)
55 ILLUMINA ss1752312168 Sep 08, 2015 (146)
56 HAMMER_LAB ss1797570847 Sep 08, 2015 (146)
57 WEILL_CORNELL_DGM ss1920642818 Feb 12, 2016 (147)
58 ILLUMINA ss1946052466 Feb 12, 2016 (147)
59 ILLUMINA ss1958460708 Feb 12, 2016 (147)
60 GENOMED ss1968894761 Jul 19, 2016 (147)
61 JJLAB ss2020845480 Sep 14, 2016 (149)
62 CSHL ss2136678555 Nov 08, 2017 (151)
63 USC_VALOUEV ss2148911272 Dec 20, 2016 (150)
64 HUMAN_LONGEVITY ss2234483412 Dec 20, 2016 (150)
65 SYSTEMSBIOZJU ss2624929398 Nov 08, 2017 (151)
66 ILLUMINA ss2633676095 Nov 08, 2017 (151)
67 GRF ss2703535526 Nov 08, 2017 (151)
68 ILLUMINA ss2710912418 Nov 08, 2017 (151)
69 GNOMAD ss2779950826 Nov 08, 2017 (151)
70 SWEGEN ss2990470599 Nov 08, 2017 (151)
71 ILLUMINA ss3022019309 Nov 08, 2017 (151)
72 BIOINF_KMB_FNS_UNIBA ss3024186134 Nov 08, 2017 (151)
73 CSHL ss3344493484 Nov 08, 2017 (151)
74 ILLUMINA ss3625765804 Oct 11, 2018 (152)
75 ILLUMINA ss3628171166 Oct 11, 2018 (152)
76 ILLUMINA ss3631639570 Oct 11, 2018 (152)
77 ILLUMINA ss3633217192 Oct 11, 2018 (152)
78 ILLUMINA ss3633929692 Oct 11, 2018 (152)
79 ILLUMINA ss3634788497 Oct 11, 2018 (152)
80 ILLUMINA ss3635615542 Oct 11, 2018 (152)
81 ILLUMINA ss3636477398 Oct 11, 2018 (152)
82 ILLUMINA ss3637367485 Oct 11, 2018 (152)
83 ILLUMINA ss3638288923 Oct 11, 2018 (152)
84 ILLUMINA ss3640495796 Oct 11, 2018 (152)
85 ILLUMINA ss3643255745 Oct 11, 2018 (152)
86 ILLUMINA ss3644755184 Oct 11, 2018 (152)
87 URBANLAB ss3647150939 Oct 11, 2018 (152)
88 ILLUMINA ss3652459763 Oct 11, 2018 (152)
89 EGCUT_WGS ss3658312355 Jul 13, 2019 (153)
90 EVA_DECODE ss3704941828 Jul 13, 2019 (153)
91 ILLUMINA ss3725826022 Jul 13, 2019 (153)
92 ACPOP ss3728889623 Jul 13, 2019 (153)
93 ILLUMINA ss3744182888 Jul 13, 2019 (153)
94 ILLUMINA ss3744480106 Jul 13, 2019 (153)
95 ILLUMINA ss3745088350 Jul 13, 2019 (153)
96 EVA ss3757412939 Jul 13, 2019 (153)
97 PAGE_CC ss3770950148 Jul 13, 2019 (153)
98 ILLUMINA ss3772585027 Jul 13, 2019 (153)
99 KHV_HUMAN_GENOMES ss3801780593 Jul 13, 2019 (153)
100 EVA ss3827233855 Apr 25, 2020 (154)
101 EVA ss3837032500 Apr 25, 2020 (154)
102 EVA ss3842451108 Apr 25, 2020 (154)
103 HGDP ss3847633805 Apr 25, 2020 (154)
104 SGDP_PRJ ss3853468391 Apr 25, 2020 (154)
105 KRGDB ss3899027793 Apr 25, 2020 (154)
106 KOGIC ss3949018864 Apr 25, 2020 (154)
107 EVA ss3984490023 Apr 26, 2021 (155)
108 EVA ss3984923330 Apr 26, 2021 (155)
109 EVA ss4017022001 Apr 26, 2021 (155)
110 TOPMED ss4524808175 Apr 26, 2021 (155)
111 TOMMO_GENOMICS ss5153981211 Apr 26, 2021 (155)
112 1000G_HIGH_COVERAGE ss5250104388 Oct 12, 2022 (156)
113 EVA ss5314770921 Oct 12, 2022 (156)
114 EVA ss5332503376 Oct 12, 2022 (156)
115 HUGCELL_USP ss5449908444 Oct 12, 2022 (156)
116 EVA ss5506597516 Oct 12, 2022 (156)
117 1000G_HIGH_COVERAGE ss5526419054 Oct 12, 2022 (156)
118 SANFORD_IMAGENETICS ss5629859709 Oct 12, 2022 (156)
119 TOMMO_GENOMICS ss5684141043 Oct 12, 2022 (156)
120 YY_MCH ss5802746072 Oct 12, 2022 (156)
121 EVA ss5820840886 Oct 12, 2022 (156)
122 EVA ss5852724746 Oct 12, 2022 (156)
123 EVA ss5932473384 Oct 12, 2022 (156)
124 EVA ss5956061831 Oct 12, 2022 (156)
125 1000Genomes NC_000002.11 - 135389197 Oct 11, 2018 (152)
126 1000Genomes_30x NC_000002.12 - 134631627 Oct 12, 2022 (156)
127 The Avon Longitudinal Study of Parents and Children NC_000002.11 - 135389197 Oct 11, 2018 (152)
128 Genetic variation in the Estonian population NC_000002.11 - 135389197 Oct 11, 2018 (152)
129 The Danish reference pan genome NC_000002.11 - 135389197 Apr 25, 2020 (154)
130 gnomAD - Genomes NC_000002.12 - 134631627 Apr 26, 2021 (155)
131 Genome of the Netherlands Release 5 NC_000002.11 - 135389197 Apr 25, 2020 (154)
132 HGDP-CEPH-db Supplement 1 NC_000002.10 - 135105667 Apr 25, 2020 (154)
133 HapMap NC_000002.12 - 134631627 Apr 25, 2020 (154)
134 KOREAN population from KRGDB NC_000002.11 - 135389197 Apr 25, 2020 (154)
135 Korean Genome Project NC_000002.12 - 134631627 Apr 25, 2020 (154)
136 Northern Sweden NC_000002.11 - 135389197 Jul 13, 2019 (153)
137 The PAGE Study NC_000002.12 - 134631627 Jul 13, 2019 (153)
138 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000002.11 - 135389197 Apr 26, 2021 (155)
139 CNV burdens in cranial meningiomas NC_000002.11 - 135389197 Apr 26, 2021 (155)
140 Qatari NC_000002.11 - 135389197 Apr 25, 2020 (154)
141 SGDP_PRJ NC_000002.11 - 135389197 Apr 25, 2020 (154)
142 Siberian NC_000002.11 - 135389197 Apr 25, 2020 (154)
143 8.3KJPN NC_000002.11 - 135389197 Apr 26, 2021 (155)
144 14KJPN NC_000002.12 - 134631627 Oct 12, 2022 (156)
145 TopMed NC_000002.12 - 134631627 Apr 26, 2021 (155)
146 UK 10K study - Twins NC_000002.11 - 135389197 Oct 11, 2018 (152)
147 A Vietnamese Genetic Variation Database NC_000002.11 - 135389197 Jul 13, 2019 (153)
148 ALFA NC_000002.12 - 134631627 Apr 26, 2021 (155)
Help

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)
rs61599980 May 27, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss77767224, ss80962588, ss85858094 NC_000002.9:135222928:A:G NC_000002.12:134631626:A:G (self)
311697, ss91356799, ss109910722, ss110958780, ss117885756, ss164282484, ss165269968, ss167204112, ss201089885, ss205795365, ss253505944, ss276691087, ss284442657, ss292373119, ss481345229, ss1586812936, ss1712491880, ss2136678555, ss3643255745, ss3847633805 NC_000002.10:135105666:A:G NC_000002.12:134631626:A:G (self)
10449194, 5755551, 4050603, 5262065, 2530628, 6205187, 2174488, 149257, 39357, 2684748, 5485371, 1427626, 11950518, 5755551, 1245476, ss219525009, ss231372076, ss238878460, ss481370793, ss482350460, ss485467780, ss537388971, ss555892615, ss649519987, ss778579468, ss783179365, ss784134712, ss832438999, ss834036572, ss977384562, ss1069515171, ss1299429730, ss1428748542, ss1579097126, ss1604618161, ss1647612194, ss1752312168, ss1797570847, ss1920642818, ss1946052466, ss1958460708, ss1968894761, ss2020845480, ss2148911272, ss2624929398, ss2633676095, ss2703535526, ss2710912418, ss2779950826, ss2990470599, ss3022019309, ss3344493484, ss3625765804, ss3628171166, ss3631639570, ss3633217192, ss3633929692, ss3634788497, ss3635615542, ss3636477398, ss3637367485, ss3638288923, ss3640495796, ss3644755184, ss3652459763, ss3658312355, ss3728889623, ss3744182888, ss3744480106, ss3745088350, ss3757412939, ss3772585027, ss3827233855, ss3837032500, ss3853468391, ss3899027793, ss3984490023, ss3984923330, ss4017022001, ss5153981211, ss5314770921, ss5332503376, ss5506597516, ss5629859709, ss5820840886, ss5956061831 NC_000002.11:135389196:A:G NC_000002.12:134631626:A:G (self)
13944989, 74493867, 1898700, 5396865, 171617, 17978147, 328631054, 5337132925, ss2234483412, ss3024186134, ss3647150939, ss3704941828, ss3725826022, ss3770950148, ss3801780593, ss3842451108, ss3949018864, ss4524808175, ss5250104388, ss5449908444, ss5526419054, ss5684141043, ss5802746072, ss5852724746, ss5932473384 NC_000002.12:134631626:A:G NC_000002.12:134631626:A:G (self)
ss10006309 NT_005058.13:3998095:A:G NC_000002.12:134631626:A:G (self)
ss14478607, ss16826697 NT_005058.14:3998205:A:G NC_000002.12:134631626:A:G (self)
ss44199045, ss67855293, ss71476427, ss75368773, ss97079841, ss119524593, ss132838870, ss138536533, ss157713010, ss160806764, ss174101320 NT_022135.16:25137859:A:G NC_000002.12:134631626:A:G (self)
Help

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

No publications for rs6759065

Help

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.

Software version is: 2.0.1.post761+d5e8e07