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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.

rs11746690

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr5:149764400 (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
A=0.083649 (22141/264690, TOPMED)
A=0.062364 (12652/202874, ALFA)
A=0.081828 (11473/140208, GnomAD) (+ 20 more)
A=0.06119 (1729/28258, 14KJPN)
A=0.06134 (1028/16760, 8.3KJPN)
A=0.0865 (554/6404, 1000G_30x)
A=0.0871 (436/5008, 1000G)
A=0.0464 (208/4480, Estonian)
A=0.0509 (196/3854, ALSPAC)
A=0.0539 (200/3708, TWINSUK)
A=0.0669 (196/2930, KOREAN)
A=0.0734 (153/2084, HGDP_Stanford)
A=0.1106 (209/1890, HapMap)
A=0.0737 (135/1832, Korea1K)
A=0.043 (43/998, GoNL)
A=0.043 (27/626, Chileans)
A=0.033 (20/600, NorthernSweden)
A=0.079 (17/216, Qatari)
A=0.086 (18/210, Vietnamese)
A=0.16 (14/86, Ancient Sardinia)
G=0.47 (30/64, SGDP_PRJ)
A=0.07 (3/40, GENOME_DK)
G=0.2 (1/4, Siberian)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
PPARGC1B : 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 202874 G=0.937636 A=0.062364 0.879886 0.004614 0.1155 9
European Sub 174256 G=0.940352 A=0.059648 0.884549 0.003845 0.111606 2
African Sub 7770 G=0.8515 A=0.1485 0.725354 0.022394 0.252252 0
African Others Sub 276 G=0.812 A=0.188 0.666667 0.043478 0.289855 0
African American Sub 7494 G=0.8529 A=0.1471 0.727515 0.021617 0.250867 0
Asian Sub 748 G=0.913 A=0.087 0.836898 0.010695 0.152406 0
East Asian Sub 572 G=0.911 A=0.089 0.835664 0.013986 0.15035 1
Other Asian Sub 176 G=0.920 A=0.080 0.840909 0.0 0.159091 0
Latin American 1 Sub 910 G=0.925 A=0.075 0.857143 0.006593 0.136264 0
Latin American 2 Sub 7046 G=0.9597 A=0.0403 0.921374 0.001987 0.076639 0
South Asian Sub 5052 G=0.9644 A=0.0356 0.931908 0.003167 0.064925 5
Other Sub 7092 G=0.9285 A=0.0715 0.86379 0.006768 0.129442 1


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 G=0.916351 A=0.083649
Allele Frequency Aggregator Total Global 202874 G=0.937636 A=0.062364
Allele Frequency Aggregator European Sub 174256 G=0.940352 A=0.059648
Allele Frequency Aggregator African Sub 7770 G=0.8515 A=0.1485
Allele Frequency Aggregator Other Sub 7092 G=0.9285 A=0.0715
Allele Frequency Aggregator Latin American 2 Sub 7046 G=0.9597 A=0.0403
Allele Frequency Aggregator South Asian Sub 5052 G=0.9644 A=0.0356
Allele Frequency Aggregator Latin American 1 Sub 910 G=0.925 A=0.075
Allele Frequency Aggregator Asian Sub 748 G=0.913 A=0.087
gnomAD - Genomes Global Study-wide 140208 G=0.918172 A=0.081828
gnomAD - Genomes European Sub 75950 G=0.94687 A=0.05313
gnomAD - Genomes African Sub 41994 G=0.85469 A=0.14531
gnomAD - Genomes American Sub 13660 G=0.95081 A=0.04919
gnomAD - Genomes Ashkenazi Jewish Sub 3324 G=0.9308 A=0.0692
gnomAD - Genomes East Asian Sub 3130 G=0.9144 A=0.0856
gnomAD - Genomes Other Sub 2150 G=0.9228 A=0.0772
14KJPN JAPANESE Study-wide 28258 G=0.93881 A=0.06119
8.3KJPN JAPANESE Study-wide 16760 G=0.93866 A=0.06134
1000Genomes_30x Global Study-wide 6404 G=0.9135 A=0.0865
1000Genomes_30x African Sub 1786 G=0.8393 A=0.1607
1000Genomes_30x Europe Sub 1266 G=0.9352 A=0.0648
1000Genomes_30x South Asian Sub 1202 G=0.9617 A=0.0383
1000Genomes_30x East Asian Sub 1170 G=0.9154 A=0.0846
1000Genomes_30x American Sub 980 G=0.959 A=0.041
1000Genomes Global Study-wide 5008 G=0.9129 A=0.0871
1000Genomes African Sub 1322 G=0.8343 A=0.1657
1000Genomes East Asian Sub 1008 G=0.9167 A=0.0833
1000Genomes Europe Sub 1006 G=0.9364 A=0.0636
1000Genomes South Asian Sub 978 G=0.960 A=0.040
1000Genomes American Sub 694 G=0.957 A=0.043
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.9536 A=0.0464
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.9491 A=0.0509
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.9461 A=0.0539
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.9331 A=0.0669
HGDP-CEPH-db Supplement 1 Global Study-wide 2084 G=0.9266 A=0.0734
HGDP-CEPH-db Supplement 1 Est_Asia Sub 470 G=0.923 A=0.077
HGDP-CEPH-db Supplement 1 Central_South_Asia Sub 414 G=0.966 A=0.034
HGDP-CEPH-db Supplement 1 Middle_Est Sub 350 G=0.860 A=0.140
HGDP-CEPH-db Supplement 1 Europe Sub 320 G=0.953 A=0.047
HGDP-CEPH-db Supplement 1 Africa Sub 242 G=0.855 A=0.145
HGDP-CEPH-db Supplement 1 America Sub 216 G=0.981 A=0.019
HGDP-CEPH-db Supplement 1 Oceania Sub 72 G=1.00 A=0.00
HapMap Global Study-wide 1890 G=0.8894 A=0.1106
HapMap American Sub 770 G=0.916 A=0.084
HapMap African Sub 690 G=0.823 A=0.177
HapMap Asian Sub 254 G=0.949 A=0.051
HapMap Europe Sub 176 G=0.949 A=0.051
Korean Genome Project KOREAN Study-wide 1832 G=0.9263 A=0.0737
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.957 A=0.043
Chileans Chilean Study-wide 626 G=0.957 A=0.043
Northern Sweden ACPOP Study-wide 600 G=0.967 A=0.033
Qatari Global Study-wide 216 G=0.921 A=0.079
A Vietnamese Genetic Variation Database Global Study-wide 210 G=0.914 A=0.086
Ancient Sardinia genome-wide 1240k capture data generation and analysis Global Study-wide 86 G=0.84 A=0.16
SGDP_PRJ Global Study-wide 64 G=0.47 A=0.53
The Danish reference pan genome Danish Study-wide 40 G=0.93 A=0.07
Siberian Global Study-wide 4 G=0.2 A=0.8
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 5 NC_000005.10:g.149764400G>A
GRCh37.p13 chr 5 NC_000005.9:g.149143963G>A
PPARGC1B RefSeqGene NG_016747.1:g.39149G>A
Gene: PPARGC1B, PPARG coactivator 1 beta (plus strand)
Molecule type Change Amino acid[Codon] SO Term
PPARGC1B transcript variant 2 NM_001172698.2:c.78+33980…

NM_001172698.2:c.78+33980G>A

N/A Intron Variant
PPARGC1B transcript variant 1 NM_133263.4:c.78+33980G>A N/A Intron Variant
PPARGC1B transcript variant 3 NM_001172699.2:c. N/A Genic Upstream Transcript Variant
PPARGC1B transcript variant X1 XM_011537553.3:c.78+33980…

XM_011537553.3:c.78+33980G>A

N/A Intron Variant
PPARGC1B transcript variant X3 XM_011537555.3:c.78+33980…

XM_011537555.3:c.78+33980G>A

N/A Intron Variant
PPARGC1B transcript variant X5 XM_011537557.2:c.78+33980…

XM_011537557.2:c.78+33980G>A

N/A Intron Variant
PPARGC1B transcript variant X4 XM_005268372.4:c. N/A Genic Upstream Transcript Variant
PPARGC1B transcript variant X2 XM_011537554.3:c. N/A Genic Upstream Transcript 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 G= A
GRCh38.p14 chr 5 NC_000005.10:g.149764400= NC_000005.10:g.149764400G>A
GRCh37.p13 chr 5 NC_000005.9:g.149143963= NC_000005.9:g.149143963G>A
PPARGC1B RefSeqGene NG_016747.1:g.39149= NG_016747.1:g.39149G>A
PPARGC1B transcript variant 2 NM_001172698.1:c.78+33980= NM_001172698.1:c.78+33980G>A
PPARGC1B transcript variant 2 NM_001172698.2:c.78+33980= NM_001172698.2:c.78+33980G>A
PPARGC1B transcript variant 1 NM_133263.3:c.78+33980= NM_133263.3:c.78+33980G>A
PPARGC1B transcript variant 1 NM_133263.4:c.78+33980= NM_133263.4:c.78+33980G>A
PPARGC1B transcript variant X1 XM_011537553.3:c.78+33980= XM_011537553.3:c.78+33980G>A
PPARGC1B transcript variant X3 XM_011537555.3:c.78+33980= XM_011537555.3:c.78+33980G>A
PPARGC1B transcript variant X5 XM_011537557.2:c.78+33980= XM_011537557.2:c.78+33980G>A
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#.

104 SubSNP, 23 Frequency submissions
No Submitter Submission ID Date (Build)
1 CSHL-HAPMAP ss17081206 Feb 28, 2004 (120)
2 ABI ss44620571 Mar 14, 2006 (126)
3 ILLUMINA ss66635989 Nov 29, 2006 (127)
4 ILLUMINA ss66951878 Nov 29, 2006 (127)
5 ILLUMINA ss67114749 Nov 29, 2006 (127)
6 ILLUMINA ss70398842 May 16, 2007 (127)
7 ILLUMINA ss70540193 May 24, 2008 (130)
8 ILLUMINA ss71072167 May 16, 2007 (127)
9 ILLUMINA ss75537271 Dec 07, 2007 (129)
10 AFFY ss76441159 Dec 07, 2007 (129)
11 KRIBB_YJKIM ss85133740 Dec 14, 2007 (130)
12 BCMHGSC_JDW ss93288424 Mar 24, 2008 (129)
13 ILLUMINA ss121500692 Dec 01, 2009 (131)
14 ENSEMBL ss143524027 Dec 01, 2009 (131)
15 ILLUMINA ss153049362 Dec 01, 2009 (131)
16 ILLUMINA ss159187259 Dec 01, 2009 (131)
17 ILLUMINA ss160000084 Dec 01, 2009 (131)
18 COMPLETE_GENOMICS ss162761446 Jul 04, 2010 (132)
19 COMPLETE_GENOMICS ss167217706 Jul 04, 2010 (132)
20 ILLUMINA ss169943293 Jul 04, 2010 (132)
21 ILLUMINA ss171520523 Jul 04, 2010 (132)
22 BUSHMAN ss201014954 Jul 04, 2010 (132)
23 1000GENOMES ss222032291 Jul 14, 2010 (132)
24 1000GENOMES ss233195015 Jul 14, 2010 (132)
25 1000GENOMES ss240308341 Jul 15, 2010 (132)
26 GMI ss278527722 May 04, 2012 (137)
27 GMI ss285281862 Apr 25, 2013 (138)
28 PJP ss293491690 May 09, 2011 (134)
29 ILLUMINA ss479582655 May 04, 2012 (137)
30 ILLUMINA ss479587089 May 04, 2012 (137)
31 ILLUMINA ss480066133 Sep 08, 2015 (146)
32 ILLUMINA ss484590087 May 04, 2012 (137)
33 ILLUMINA ss536719272 Sep 08, 2015 (146)
34 TISHKOFF ss558789854 Apr 25, 2013 (138)
35 SSMP ss652693659 Apr 25, 2013 (138)
36 ILLUMINA ss778764950 Sep 08, 2015 (146)
37 ILLUMINA ss782741827 Sep 08, 2015 (146)
38 ILLUMINA ss783708774 Sep 08, 2015 (146)
39 ILLUMINA ss825368237 Apr 01, 2015 (144)
40 ILLUMINA ss831993776 Sep 08, 2015 (146)
41 ILLUMINA ss832699748 Jul 13, 2019 (153)
42 ILLUMINA ss834224741 Sep 08, 2015 (146)
43 EVA-GONL ss982251258 Aug 21, 2014 (142)
44 JMKIDD_LAB ss1073135553 Aug 21, 2014 (142)
45 1000GENOMES ss1317719479 Aug 21, 2014 (142)
46 EVA_GENOME_DK ss1581398931 Apr 01, 2015 (144)
47 EVA_DECODE ss1591783955 Apr 01, 2015 (144)
48 EVA_UK10K_ALSPAC ss1614282524 Apr 01, 2015 (144)
49 EVA_UK10K_TWINSUK ss1657276557 Apr 01, 2015 (144)
50 EVA_SVP ss1712809725 Apr 01, 2015 (144)
51 ILLUMINA ss1752555703 Sep 08, 2015 (146)
52 HAMMER_LAB ss1804135106 Sep 08, 2015 (146)
53 WEILL_CORNELL_DGM ss1925505235 Feb 12, 2016 (147)
54 JJLAB ss2023360239 Sep 14, 2016 (149)
55 USC_VALOUEV ss2151518846 Dec 20, 2016 (150)
56 HUMAN_LONGEVITY ss2279211108 Dec 20, 2016 (150)
57 ILLUMINA ss2634355609 Nov 08, 2017 (151)
58 GRF ss2707088503 Nov 08, 2017 (151)
59 GNOMAD ss2832220893 Nov 08, 2017 (151)
60 SWEGEN ss2997993073 Nov 08, 2017 (151)
61 ILLUMINA ss3629369515 Oct 12, 2018 (152)
62 ILLUMINA ss3632278598 Oct 12, 2018 (152)
63 ILLUMINA ss3633394059 Oct 12, 2018 (152)
64 ILLUMINA ss3634115438 Oct 12, 2018 (152)
65 ILLUMINA ss3635028396 Oct 12, 2018 (152)
66 ILLUMINA ss3635797081 Oct 12, 2018 (152)
67 ILLUMINA ss3636741549 Oct 12, 2018 (152)
68 ILLUMINA ss3637549735 Oct 12, 2018 (152)
69 ILLUMINA ss3638588097 Oct 12, 2018 (152)
70 ILLUMINA ss3639296287 Oct 12, 2018 (152)
71 ILLUMINA ss3639672480 Oct 12, 2018 (152)
72 ILLUMINA ss3640735690 Oct 12, 2018 (152)
73 ILLUMINA ss3643531514 Oct 12, 2018 (152)
74 BIOINF_KMB_FNS_UNIBA ss3645913959 Oct 12, 2018 (152)
75 EGCUT_WGS ss3665913336 Jul 13, 2019 (153)
76 EVA_DECODE ss3715943641 Jul 13, 2019 (153)
77 ACPOP ss3732921937 Jul 13, 2019 (153)
78 ILLUMINA ss3745328569 Jul 13, 2019 (153)
79 EVA ss3764215623 Jul 13, 2019 (153)
80 ILLUMINA ss3772822511 Jul 13, 2019 (153)
81 KHV_HUMAN_GENOMES ss3807384412 Jul 13, 2019 (153)
82 EVA ss3829564671 Apr 26, 2020 (154)
83 HGDP ss3847810989 Apr 26, 2020 (154)
84 SGDP_PRJ ss3863233664 Apr 26, 2020 (154)
85 KRGDB ss3909910066 Apr 26, 2020 (154)
86 KOGIC ss3957884967 Apr 26, 2020 (154)
87 EVA ss3985177888 Apr 26, 2021 (155)
88 EVA ss4017237984 Apr 26, 2021 (155)
89 TOPMED ss4683126662 Apr 26, 2021 (155)
90 TOMMO_GENOMICS ss5174712558 Apr 26, 2021 (155)
91 1000G_HIGH_COVERAGE ss5266283203 Oct 13, 2022 (156)
92 EVA ss5315094864 Oct 13, 2022 (156)
93 EVA ss5361771660 Oct 13, 2022 (156)
94 HUGCELL_USP ss5464202817 Oct 13, 2022 (156)
95 EVA ss5508255408 Oct 13, 2022 (156)
96 1000G_HIGH_COVERAGE ss5551158543 Oct 13, 2022 (156)
97 SANFORD_IMAGENETICS ss5639129928 Oct 13, 2022 (156)
98 TOMMO_GENOMICS ss5711957594 Oct 13, 2022 (156)
99 EVA ss5799665602 Oct 13, 2022 (156)
100 YY_MCH ss5806871539 Oct 13, 2022 (156)
101 EVA ss5835811193 Oct 13, 2022 (156)
102 EVA ss5855067184 Oct 13, 2022 (156)
103 EVA ss5896833003 Oct 13, 2022 (156)
104 EVA ss5967609740 Oct 13, 2022 (156)
105 1000Genomes NC_000005.9 - 149143963 Oct 12, 2018 (152)
106 1000Genomes_30x NC_000005.10 - 149764400 Oct 13, 2022 (156)
107 The Avon Longitudinal Study of Parents and Children NC_000005.9 - 149143963 Oct 12, 2018 (152)
108 Chileans NC_000005.9 - 149143963 Apr 26, 2020 (154)
109 Genetic variation in the Estonian population NC_000005.9 - 149143963 Oct 12, 2018 (152)
110 The Danish reference pan genome NC_000005.9 - 149143963 Apr 26, 2020 (154)
111 gnomAD - Genomes NC_000005.10 - 149764400 Apr 26, 2021 (155)
112 Genome of the Netherlands Release 5 NC_000005.9 - 149143963 Apr 26, 2020 (154)
113 HGDP-CEPH-db Supplement 1 NC_000005.8 - 149124156 Apr 26, 2020 (154)
114 HapMap NC_000005.10 - 149764400 Apr 26, 2020 (154)
115 KOREAN population from KRGDB NC_000005.9 - 149143963 Apr 26, 2020 (154)
116 Korean Genome Project NC_000005.10 - 149764400 Apr 26, 2020 (154)
117 Northern Sweden NC_000005.9 - 149143963 Jul 13, 2019 (153)
118 Ancient Sardinia genome-wide 1240k capture data generation and analysis NC_000005.9 - 149143963 Apr 26, 2021 (155)
119 Qatari NC_000005.9 - 149143963 Apr 26, 2020 (154)
120 SGDP_PRJ NC_000005.9 - 149143963 Apr 26, 2020 (154)
121 Siberian NC_000005.9 - 149143963 Apr 26, 2020 (154)
122 8.3KJPN NC_000005.9 - 149143963 Apr 26, 2021 (155)
123 14KJPN NC_000005.10 - 149764400 Oct 13, 2022 (156)
124 TopMed NC_000005.10 - 149764400 Apr 26, 2021 (155)
125 UK 10K study - Twins NC_000005.9 - 149143963 Oct 12, 2018 (152)
126 A Vietnamese Genetic Variation Database NC_000005.9 - 149143963 Jul 13, 2019 (153)
127 ALFA NC_000005.10 - 149764400 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)
rs58139035 May 24, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
488881, ss76441159, ss93288424, ss162761446, ss167217706, ss201014954, ss278527722, ss285281862, ss293491690, ss479582655, ss825368237, ss1591783955, ss1712809725, ss3639296287, ss3639672480, ss3643531514, ss3847810989 NC_000005.8:149124155:G:A NC_000005.10:149764399:G:A (self)
29415833, 16367462, 361933, 11651584, 7563870, 7266930, 17087460, 6206802, 403815, 7547165, 15250644, 4035200, 32681865, 16367462, 3627511, ss222032291, ss233195015, ss240308341, ss479587089, ss480066133, ss484590087, ss536719272, ss558789854, ss652693659, ss778764950, ss782741827, ss783708774, ss831993776, ss832699748, ss834224741, ss982251258, ss1073135553, ss1317719479, ss1581398931, ss1614282524, ss1657276557, ss1752555703, ss1804135106, ss1925505235, ss2023360239, ss2151518846, ss2634355609, ss2707088503, ss2832220893, ss2997993073, ss3629369515, ss3632278598, ss3633394059, ss3634115438, ss3635028396, ss3635797081, ss3636741549, ss3637549735, ss3638588097, ss3640735690, ss3665913336, ss3732921937, ss3745328569, ss3764215623, ss3772822511, ss3829564671, ss3863233664, ss3909910066, ss3985177888, ss4017237984, ss5174712558, ss5315094864, ss5361771660, ss5508255408, ss5639129928, ss5799665602, ss5835811193, ss5967609740 NC_000005.9:149143962:G:A NC_000005.10:149764399:G:A (self)
38684478, 208072699, 2993717, 14262968, 45794698, 520504219, 847253356, ss2279211108, ss3645913959, ss3715943641, ss3807384412, ss3957884967, ss4683126662, ss5266283203, ss5464202817, ss5551158543, ss5711957594, ss5806871539, ss5855067184, ss5896833003 NC_000005.10:149764399:G:A NC_000005.10:149764399:G:A (self)
ss17081206 NT_029289.10:10306898:G:A NC_000005.10:149764399:G:A (self)
ss44620571, ss66635989, ss66951878, ss67114749, ss70398842, ss70540193, ss71072167, ss75537271, ss85133740, ss121500692, ss143524027, ss153049362, ss159187259, ss160000084, ss169943293, ss171520523 NT_029289.11:10306889:G:A NC_000005.10:149764399:G:A (self)
Help

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

1 citation for rs11746690
PMID Title Author Year Journal
23409076 Gene set of nuclear-encoded mitochondrial regulators is enriched for common inherited variation in obesity. Knoll N et al. 2013 PloS one
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.post820+afb47a3d