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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.

rs165722

Current Build 155

Released April 9, 2021

Organism
Homo sapiens
Position
chr22:19961490 (GRCh38.p13) 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=0.487941 (129153/264690, TOPMED)
C=0.495934 (97077/195746, ALFA)
C=0.496373 (69531/140078, GnomAD) (+ 16 more)
T=0.30674 (5141/16760, 8.3KJPN)
T=0.4279 (2143/5008, 1000G)
C=0.4498 (2015/4480, Estonian)
C=0.4865 (1875/3854, ALSPAC)
T=0.4997 (1853/3708, TWINSUK)
T=0.2785 (816/2930, KOREAN)
C=0.4768 (1275/2674, PharmGKB)
T=0.2620 (480/1832, Korea1K)
C=0.483 (482/998, GoNL)
T=0.235 (177/754, PRJEB37584)
C=0.463 (278/600, NorthernSweden)
C=0.335 (120/358, SGDP_PRJ)
C=0.421 (91/216, Qatari)
T=0.233 (48/206, Vietnamese)
C=0.33 (14/42, Siberian)
C=0.30 (12/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
COMT : Intron Variant
Publications
9 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: 20201027095038
Population Group Sample Size Ref Allele Alt Allele
Total Global 195746 C=0.495934 T=0.504066
European Sub 168986 C=0.489662 T=0.510338
African Sub 7038 C=0.4839 T=0.5161
African Others Sub 260 C=0.488 T=0.512
African American Sub 6778 C=0.4838 T=0.5162
Asian Sub 690 C=0.736 T=0.264
East Asian Sub 546 C=0.720 T=0.280
Other Asian Sub 144 C=0.799 T=0.201
Latin American 1 Sub 822 C=0.501 T=0.499
Latin American 2 Sub 6840 C=0.5792 T=0.4208
South Asian Sub 5042 C=0.5415 T=0.4585
Other Sub 6328 C=0.5235 T=0.4765


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 C=0.512059 T=0.487941
Allele Frequency Aggregator Total Global 195746 C=0.495934 T=0.504066
Allele Frequency Aggregator European Sub 168986 C=0.489662 T=0.510338
Allele Frequency Aggregator African Sub 7038 C=0.4839 T=0.5161
Allele Frequency Aggregator Latin American 2 Sub 6840 C=0.5792 T=0.4208
Allele Frequency Aggregator Other Sub 6328 C=0.5235 T=0.4765
Allele Frequency Aggregator South Asian Sub 5042 C=0.5415 T=0.4585
Allele Frequency Aggregator Latin American 1 Sub 822 C=0.501 T=0.499
Allele Frequency Aggregator Asian Sub 690 C=0.736 T=0.264
gnomAD - Genomes Global Study-wide 140078 C=0.496373 T=0.503627
gnomAD - Genomes European Sub 75862 C=0.47325 T=0.52675
gnomAD - Genomes African Sub 41954 C=0.49054 T=0.50946
gnomAD - Genomes American Sub 13660 C=0.57013 T=0.42987
gnomAD - Genomes Ashkenazi Jewish Sub 3322 C=0.5455 T=0.4545
gnomAD - Genomes East Asian Sub 3128 C=0.7359 T=0.2641
gnomAD - Genomes Other Sub 2152 C=0.5330 T=0.4670
8.3KJPN JAPANESE Study-wide 16760 C=0.69326 T=0.30674
1000Genomes Global Study-wide 5008 C=0.5721 T=0.4279
1000Genomes African Sub 1322 C=0.5030 T=0.4970
1000Genomes East Asian Sub 1008 C=0.7302 T=0.2698
1000Genomes Europe Sub 1006 C=0.4990 T=0.5010
1000Genomes South Asian Sub 978 C=0.555 T=0.445
1000Genomes American Sub 694 C=0.604 T=0.396
Genetic variation in the Estonian population Estonian Study-wide 4480 C=0.4498 T=0.5502
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 C=0.4865 T=0.5135
UK 10K study - Twins TWIN COHORT Study-wide 3708 C=0.5003 T=0.4997
KOREAN population from KRGDB KOREAN Study-wide 2930 C=0.7215 T=0.2785
PharmGKB Aggregated Global Study-wide 2674 C=0.4768 T=0.5232
PharmGKB Aggregated PA155987706 Sub 2434 C=0.4737 T=0.5263
PharmGKB Aggregated PA137867860 Sub 240 C=0.508 T=0.492
Korean Genome Project KOREAN Study-wide 1832 C=0.7380 T=0.2620
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 C=0.483 T=0.517
CNV burdens in cranial meningiomas Global Study-wide 754 C=0.765 T=0.235
CNV burdens in cranial meningiomas CRM Sub 754 C=0.765 T=0.235
Northern Sweden ACPOP Study-wide 600 C=0.463 T=0.537
SGDP_PRJ Global Study-wide 358 C=0.335 T=0.665
Qatari Global Study-wide 216 C=0.421 T=0.579
A Vietnamese Genetic Variation Database Global Study-wide 206 C=0.767 T=0.233
Siberian Global Study-wide 42 C=0.33 T=0.67
The Danish reference pan genome Danish Study-wide 40 C=0.30 T=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.p13 chr 22 NC_000022.11:g.19961490C>T
GRCh37.p13 chr 22 NC_000022.10:g.19949013C>T
COMT RefSeqGene (LRG_1010) NG_011526.1:g.24751C>T
Gene: COMT, catechol-O-methyltransferase (plus strand)
Molecule type Change Amino acid[Codon] SO Term
COMT transcript variant 1 NM_000754.4:c.-1+201C>T N/A Intron Variant
COMT transcript variant 2 NM_001135161.2:c.-1+201C>T N/A Intron Variant
COMT transcript variant 3 NM_001135162.2:c.-1+201C>T N/A Intron Variant
COMT transcript variant 5 NM_001362828.2:c.-295+201…

NM_001362828.2:c.-295+201C>T

N/A Intron Variant
COMT transcript variant 4 NM_007310.3: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 C= T
GRCh38.p13 chr 22 NC_000022.11:g.19961490= NC_000022.11:g.19961490C>T
GRCh37.p13 chr 22 NC_000022.10:g.19949013= NC_000022.10:g.19949013C>T
COMT RefSeqGene (LRG_1010) NG_011526.1:g.24751= NG_011526.1:g.24751C>T
COMT transcript variant 1 NM_000754.3:c.-1+201= NM_000754.3:c.-1+201C>T
COMT transcript variant 1 NM_000754.4:c.-1+201= NM_000754.4:c.-1+201C>T
COMT transcript variant 2 NM_001135161.1:c.-1+201= NM_001135161.1:c.-1+201C>T
COMT transcript variant 2 NM_001135161.2:c.-1+201= NM_001135161.2:c.-1+201C>T
COMT transcript variant 3 NM_001135162.1:c.-1+201= NM_001135162.1:c.-1+201C>T
COMT transcript variant 3 NM_001135162.2:c.-1+201= NM_001135162.2:c.-1+201C>T
COMT transcript variant 5 NM_001362828.2:c.-295+201= NM_001362828.2:c.-295+201C>T
COMT transcript variant X1 XM_005261229.1:c.-295+201= XM_005261229.1:c.-295+201C>T
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#.

110 SubSNP, 19 Frequency submissions
No Submitter Submission ID Date (Build)
1 KWOK ss232566 Jul 12, 2000 (79)
2 SC ss459044 Jul 12, 2000 (79)
3 SC_JCM ss521234 Jul 16, 2000 (80)
4 KWOK ss1058118 Oct 04, 2000 (86)
5 KWOK ss1750404 Oct 18, 2000 (87)
6 RIKENSNPRC ss6311512 Feb 20, 2003 (111)
7 EGP_SNPS ss12673750 Dec 05, 2003 (119)
8 SC_SNP ss13344411 Dec 05, 2003 (119)
9 ABI ss44329251 Mar 13, 2006 (126)
10 SNP500CANCER ss48293384 Mar 13, 2006 (126)
11 PHARMGKB_PPII ss69367699 May 17, 2007 (127)
12 HGSV ss78106699 Dec 07, 2007 (129)
13 HGSV ss81651823 Dec 15, 2007 (130)
14 BCMHGSC_JDW ss91877539 Mar 24, 2008 (129)
15 HUMANGENOME_JCVI ss96092643 Feb 06, 2009 (130)
16 PHARMGKB_PPII ss105109902 Feb 06, 2009 (130)
17 1000GENOMES ss112551445 Jan 25, 2009 (130)
18 ENSEMBL ss138335194 Dec 01, 2009 (131)
19 ENSEMBL ss142471795 Dec 01, 2009 (131)
20 ILLUMINA ss153545746 Dec 01, 2009 (131)
21 GMI ss157034556 Dec 01, 2009 (131)
22 ILLUMINA ss159291044 Dec 01, 2009 (131)
23 ILLUMINA ss160381508 Dec 01, 2009 (131)
24 ILLUMINA ss172611295 Jul 04, 2010 (132)
25 BUSHMAN ss204050437 Jul 04, 2010 (132)
26 BCM-HGSC-SUB ss208830025 Jul 04, 2010 (132)
27 1000GENOMES ss212102139 Jul 14, 2010 (132)
28 1000GENOMES ss228618131 Jul 14, 2010 (132)
29 1000GENOMES ss238022294 Jul 15, 2010 (132)
30 1000GENOMES ss244151653 Jul 15, 2010 (132)
31 GMI ss283587212 May 04, 2012 (137)
32 GMI ss287550243 Apr 25, 2013 (138)
33 PJP ss292736313 May 09, 2011 (134)
34 ILLUMINA ss480060743 May 04, 2012 (137)
35 ILLUMINA ss480069457 May 04, 2012 (137)
36 ILLUMINA ss480743271 Sep 08, 2015 (146)
37 ILLUMINA ss481638790 May 04, 2012 (137)
38 ILLUMINA ss484289273 May 04, 2012 (137)
39 ILLUMINA ss484828281 May 04, 2012 (137)
40 ILLUMINA ss536904410 Sep 08, 2015 (146)
41 TISHKOFF ss566560775 Apr 25, 2013 (138)
42 SSMP ss662483734 Apr 25, 2013 (138)
43 ILLUMINA ss778816018 Sep 08, 2015 (146)
44 ILLUMINA ss779895336 Sep 08, 2015 (146)
45 ILLUMINA ss781531681 Sep 08, 2015 (146)
46 ILLUMINA ss782860710 Sep 08, 2015 (146)
47 ILLUMINA ss783825050 Sep 08, 2015 (146)
48 ILLUMINA ss832114729 Sep 08, 2015 (146)
49 ILLUMINA ss832803155 Jul 13, 2019 (153)
50 ILLUMINA ss834276323 Sep 08, 2015 (146)
51 ILLUMINA ss835373066 Sep 08, 2015 (146)
52 EVA-GONL ss995222776 Aug 21, 2014 (142)
53 JMKIDD_LAB ss1082570452 Aug 21, 2014 (142)
54 1000GENOMES ss1366683039 Aug 21, 2014 (142)
55 DDI ss1429219778 Apr 01, 2015 (144)
56 EVA_GENOME_DK ss1579704260 Apr 01, 2015 (144)
57 EVA_UK10K_ALSPAC ss1639753909 Apr 01, 2015 (144)
58 EVA_UK10K_TWINSUK ss1682747942 Apr 01, 2015 (144)
59 EVA_DECODE ss1699291880 Apr 01, 2015 (144)
60 ILLUMINA ss1752413962 Sep 08, 2015 (146)
61 HAMMER_LAB ss1809733978 Sep 08, 2015 (146)
62 WEILL_CORNELL_DGM ss1938784377 Feb 12, 2016 (147)
63 GENOMED ss1969246873 Jul 19, 2016 (147)
64 JJLAB ss2030165202 Sep 14, 2016 (149)
65 USC_VALOUEV ss2158775158 Dec 20, 2016 (150)
66 HUMAN_LONGEVITY ss2246456870 Dec 20, 2016 (150)
67 TOPMED ss2413283737 Dec 20, 2016 (150)
68 SYSTEMSBIOZJU ss2629580749 Nov 08, 2017 (151)
69 ILLUMINA ss2633862755 Nov 08, 2017 (151)
70 ILLUMINA ss2633862756 Nov 08, 2017 (151)
71 GRF ss2704518113 Nov 08, 2017 (151)
72 GNOMAD ss2972986096 Nov 08, 2017 (151)
73 AFFY ss2985850695 Nov 08, 2017 (151)
74 SWEGEN ss3019086340 Nov 08, 2017 (151)
75 BIOINF_KMB_FNS_UNIBA ss3028920315 Nov 08, 2017 (151)
76 CSHL ss3352776484 Nov 08, 2017 (151)
77 TOPMED ss3374060644 Nov 08, 2017 (151)
78 ILLUMINA ss3628505999 Oct 12, 2018 (152)
79 ILLUMINA ss3631815159 Oct 12, 2018 (152)
80 ILLUMINA ss3631815160 Oct 12, 2018 (152)
81 ILLUMINA ss3633268858 Oct 12, 2018 (152)
82 ILLUMINA ss3633984246 Oct 12, 2018 (152)
83 ILLUMINA ss3634860934 Oct 12, 2018 (152)
84 ILLUMINA ss3635668884 Oct 12, 2018 (152)
85 ILLUMINA ss3636556571 Oct 12, 2018 (152)
86 ILLUMINA ss3637421076 Oct 12, 2018 (152)
87 ILLUMINA ss3638374434 Oct 12, 2018 (152)
88 ILLUMINA ss3640568235 Oct 12, 2018 (152)
89 ILLUMINA ss3642211202 Oct 12, 2018 (152)
90 URBANLAB ss3651151882 Oct 12, 2018 (152)
91 EGCUT_WGS ss3685618831 Jul 13, 2019 (153)
92 EVA_DECODE ss3707954927 Jul 13, 2019 (153)
93 ACPOP ss3743823268 Jul 13, 2019 (153)
94 ILLUMINA ss3745160765 Jul 13, 2019 (153)
95 EVA ss3759230896 Jul 13, 2019 (153)
96 ILLUMINA ss3772656749 Jul 13, 2019 (153)
97 PACBIO ss3788793358 Jul 13, 2019 (153)
98 PACBIO ss3793664450 Jul 13, 2019 (153)
99 PACBIO ss3798550775 Jul 13, 2019 (153)
100 KHV_HUMAN_GENOMES ss3822398787 Jul 13, 2019 (153)
101 EVA ss3835927792 Apr 27, 2020 (154)
102 EVA ss3841592396 Apr 27, 2020 (154)
103 EVA ss3847107056 Apr 27, 2020 (154)
104 SGDP_PRJ ss3890256765 Apr 27, 2020 (154)
105 KRGDB ss3940640350 Apr 27, 2020 (154)
106 KOGIC ss3983389611 Apr 27, 2020 (154)
107 EVA ss3984758321 Apr 26, 2021 (155)
108 EVA ss4017873647 Apr 26, 2021 (155)
109 TOPMED ss5105107349 Apr 26, 2021 (155)
110 TOMMO_GENOMICS ss5232040479 Apr 26, 2021 (155)
111 1000Genomes NC_000022.10 - 19949013 Oct 12, 2018 (152)
112 The Avon Longitudinal Study of Parents and Children NC_000022.10 - 19949013 Oct 12, 2018 (152)
113 Genetic variation in the Estonian population NC_000022.10 - 19949013 Oct 12, 2018 (152)
114 The Danish reference pan genome NC_000022.10 - 19949013 Apr 27, 2020 (154)
115 gnomAD - Genomes NC_000022.11 - 19961490 Apr 26, 2021 (155)
116 Genome of the Netherlands Release 5 NC_000022.10 - 19949013 Apr 27, 2020 (154)
117 KOREAN population from KRGDB NC_000022.10 - 19949013 Apr 27, 2020 (154)
118 Korean Genome Project NC_000022.11 - 19961490 Apr 27, 2020 (154)
119 Northern Sweden NC_000022.10 - 19949013 Jul 13, 2019 (153)
120 CNV burdens in cranial meningiomas NC_000022.10 - 19949013 Apr 26, 2021 (155)
121 PharmGKB Aggregated NC_000022.11 - 19961490 Apr 27, 2020 (154)
122 Qatari NC_000022.10 - 19949013 Apr 27, 2020 (154)
123 SGDP_PRJ NC_000022.10 - 19949013 Apr 27, 2020 (154)
124 Siberian NC_000022.10 - 19949013 Apr 27, 2020 (154)
125 8.3KJPN NC_000022.10 - 19949013 Apr 26, 2021 (155)
126 TopMed NC_000022.11 - 19961490 Apr 26, 2021 (155)
127 UK 10K study - Twins NC_000022.10 - 19949013 Oct 12, 2018 (152)
128 A Vietnamese Genetic Variation Database NC_000022.10 - 19949013 Jul 13, 2019 (153)
129 ALFA NC_000022.11 - 19961490 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)
rs60424305 May 26, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss78106699, ss81651823 NC_000022.8:18323566:C:T NC_000022.11:19961489:C:T (self)
ss91877539, ss112551445, ss204050437, ss208830025, ss212102139, ss283587212, ss287550243, ss292736313, ss480060743, ss484289273, ss1699291880 NC_000022.9:18329012:C:T NC_000022.11:19961489:C:T (self)
80217469, 44381977, 31357079, 5869199, 19773885, 47817744, 17108133, 307902, 20826299, 42273745, 11291512, 90009786, 44381977, 9792523, ss228618131, ss238022294, ss244151653, ss480069457, ss480743271, ss481638790, ss484828281, ss536904410, ss566560775, ss662483734, ss778816018, ss779895336, ss781531681, ss782860710, ss783825050, ss832114729, ss832803155, ss834276323, ss835373066, ss995222776, ss1082570452, ss1366683039, ss1429219778, ss1579704260, ss1639753909, ss1682747942, ss1752413962, ss1809733978, ss1938784377, ss1969246873, ss2030165202, ss2158775158, ss2413283737, ss2629580749, ss2633862755, ss2633862756, ss2704518113, ss2972986096, ss2985850695, ss3019086340, ss3352776484, ss3628505999, ss3631815159, ss3631815160, ss3633268858, ss3633984246, ss3634860934, ss3635668884, ss3636556571, ss3637421076, ss3638374434, ss3640568235, ss3642211202, ss3685618831, ss3743823268, ss3745160765, ss3759230896, ss3772656749, ss3788793358, ss3793664450, ss3798550775, ss3835927792, ss3841592396, ss3890256765, ss3940640350, ss3984758321, ss4017873647, ss5232040479 NC_000022.10:19949012:C:T NC_000022.11:19961489:C:T (self)
566543355, 39767612, 7557, 237443003, 380216296, 11059451720, ss2246456870, ss3028920315, ss3374060644, ss3651151882, ss3707954927, ss3822398787, ss3847107056, ss3983389611, ss5105107349 NC_000022.11:19961489:C:T NC_000022.11:19961489:C:T (self)
ss232566, ss459044, ss521234, ss1058118, ss1750404, ss6311512, ss12673750, ss13344411, ss44329251, ss48293384, ss69367699, ss96092643, ss105109902, ss138335194, ss142471795, ss153545746, ss157034556, ss159291044, ss160381508, ss172611295 NT_011519.10:3101162:C:T NC_000022.11:19961489:C:T (self)
Help

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

9 citations for rs165722
PMID Title Author Year Journal
16848906 Genetic polymorphisms in monoamine neurotransmitter systems show only weak association with acute post-surgical pain in humans. Kim H et al. 2006 Molecular pain
16882734 Genetic predictors for acute experimental cold and heat pain sensitivity in humans. Kim H et al. 2006 Journal of medical genetics
18574484 The complex global pattern of genetic variation and linkage disequilibrium at catechol-O-methyltransferase. Mukherjee N et al. 2010 Molecular psychiatry
19693267 Financial and psychological risk attitudes associated with two single nucleotide polymorphisms in the nicotine receptor (CHRNA4) gene. Roe BE et al. 2009 PloS one
19772600 A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data. Huang LC et al. 2009 Journal of translational medicine
20877297 Catechol O-methyltransferase pharmacogenomics and selective serotonin reuptake inhibitor response. Ji Y et al. 2012 The pharmacogenomics journal
21423693 Effect sizes in experimental pain produced by gender, genetic variants and sensitization procedures. Doehring A et al. 2011 PloS one
21570824 Clinical and genetic factors associated with nausea and vomiting in cancer patients receiving opioids. Laugsand EA et al. 2011 European journal of cancer (Oxford, England
23766564 Pharmacogenetics of chronic pain and its treatment. Světlík S et al. 2013 Mediators of inflammation
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.post676+237644a