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.
rs12914385
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr15:78606381 (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>A / C>G / C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.372228 (119725/321644, ALFA)T=0.300861 (79635/264690, TOPMED)T=0.23335 (18365/78700, PAGE_STUDY) (+ 20 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- CHRNA3 : Intron Variant
- Publications
- 43 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.
Population | Group | Sample Size | Ref Allele | Alt Allele | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
---|---|---|---|---|---|---|---|---|
Total | Global | 326680 | C=0.628542 | A=0.000000, T=0.371458 | 0.40008 | 0.142996 | 0.456924 | 32 |
European | Sub | 288016 | C=0.612501 | A=0.000000, T=0.387499 | 0.377229 | 0.152228 | 0.470543 | 6 |
African | Sub | 8586 | C=0.8565 | A=0.0000, T=0.1435 | 0.737713 | 0.024691 | 0.237596 | 3 |
African Others | Sub | 346 | C=0.882 | A=0.000, T=0.118 | 0.786127 | 0.023121 | 0.190751 | 1 |
African American | Sub | 8240 | C=0.8555 | A=0.0000, T=0.1445 | 0.73568 | 0.024757 | 0.239563 | 3 |
Asian | Sub | 3884 | C=0.7273 | A=0.0000, T=0.2727 | 0.530381 | 0.075695 | 0.393924 | 0 |
East Asian | Sub | 3150 | C=0.7051 | A=0.0000, T=0.2949 | 0.497778 | 0.087619 | 0.414603 | 0 |
Other Asian | Sub | 734 | C=0.823 | A=0.000, T=0.177 | 0.6703 | 0.024523 | 0.305177 | 0 |
Latin American 1 | Sub | 1060 | C=0.7236 | A=0.0000, T=0.2764 | 0.533962 | 0.086792 | 0.379245 | 1 |
Latin American 2 | Sub | 6982 | C=0.8098 | A=0.0000, T=0.1902 | 0.661988 | 0.042395 | 0.295617 | 4 |
South Asian | Sub | 5184 | C=0.7404 | A=0.0000, T=0.2596 | 0.551698 | 0.070988 | 0.377315 | 1 |
Other | Sub | 12968 | C=0.65423 | A=0.00000, T=0.34577 | 0.432449 | 0.123998 | 0.443553 | 2 |
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").
DownloadStudy | Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|---|
Allele Frequency Aggregator | Total | Global | 321644 | C=0.627772 | A=0.000000, T=0.372228 |
Allele Frequency Aggregator | European | Sub | 284922 | C=0.612469 | A=0.000000, T=0.387531 |
Allele Frequency Aggregator | Other | Sub | 12168 | C=0.65056 | A=0.00000, T=0.34944 |
Allele Frequency Aggregator | African | Sub | 7444 | C=0.8615 | A=0.0000, T=0.1385 |
Allele Frequency Aggregator | Latin American 2 | Sub | 6982 | C=0.8098 | A=0.0000, T=0.1902 |
Allele Frequency Aggregator | South Asian | Sub | 5184 | C=0.7404 | A=0.0000, T=0.2596 |
Allele Frequency Aggregator | Asian | Sub | 3884 | C=0.7273 | A=0.0000, T=0.2727 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1060 | C=0.7236 | A=0.0000, T=0.2764 |
TopMed | Global | Study-wide | 264690 | C=0.699139 | T=0.300861 |
The PAGE Study | Global | Study-wide | 78700 | C=0.76665 | T=0.23335 |
The PAGE Study | AfricanAmerican | Sub | 32516 | C=0.80917 | T=0.19083 |
The PAGE Study | Mexican | Sub | 10810 | C=0.79149 | T=0.20851 |
The PAGE Study | Asian | Sub | 8318 | C=0.7005 | T=0.2995 |
The PAGE Study | PuertoRican | Sub | 7918 | C=0.7186 | T=0.2814 |
The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.7358 | T=0.2642 |
The PAGE Study | Cuban | Sub | 4230 | C=0.6570 | T=0.3430 |
The PAGE Study | Dominican | Sub | 3828 | C=0.7179 | T=0.2821 |
The PAGE Study | CentralAmerican | Sub | 2450 | C=0.8106 | T=0.1894 |
The PAGE Study | SouthAmerican | Sub | 1980 | C=0.7808 | T=0.2192 |
The PAGE Study | NativeAmerican | Sub | 1260 | C=0.7048 | T=0.2952 |
The PAGE Study | SouthAsian | Sub | 856 | C=0.780 | T=0.220 |
14KJPN | JAPANESE | Study-wide | 27996 | C=0.71396 | T=0.28604 |
8.3KJPN | JAPANESE | Study-wide | 16760 | C=0.71056 | T=0.28944 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.7472 | T=0.2528 |
1000Genomes_30x | African | Sub | 1786 | C=0.8371 | T=0.1629 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.5829 | T=0.4171 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.8020 | T=0.1980 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.7145 | T=0.2855 |
1000Genomes_30x | American | Sub | 980 | C=0.767 | T=0.233 |
1000Genomes | Global | Study-wide | 5008 | C=0.7460 | T=0.2540 |
1000Genomes | African | Sub | 1322 | C=0.8351 | T=0.1649 |
1000Genomes | East Asian | Sub | 1008 | C=0.7113 | T=0.2887 |
1000Genomes | Europe | Sub | 1006 | C=0.5954 | T=0.4046 |
1000Genomes | South Asian | Sub | 978 | C=0.802 | T=0.198 |
1000Genomes | American | Sub | 694 | C=0.767 | T=0.233 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4478 | C=0.6501 | T=0.3499 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.6230 | T=0.3770 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.6238 | T=0.3762 |
MxGDAR/Encodat-PGx | Global | Study-wide | 3270 | C=0.8664 | T=0.1336 |
MxGDAR/Encodat-PGx | MxGDAR | Sub | 3270 | C=0.8664 | T=0.1336 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.7102 | G=0.0000, T=0.2898 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | C=0.7054 | T=0.2946 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | C=0.740 | T=0.260 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | C=0.667 | T=0.333 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | C=0.574 | T=0.426 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | C=0.616 | T=0.384 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | C=0.731 | T=0.269 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | C=0.935 | T=0.065 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | C=0.96 | T=0.04 |
HapMap | Global | Study-wide | 1886 | C=0.7206 | T=0.2794 |
HapMap | American | Sub | 770 | C=0.703 | T=0.297 |
HapMap | African | Sub | 688 | C=0.794 | T=0.206 |
HapMap | Asian | Sub | 252 | C=0.710 | T=0.290 |
HapMap | Europe | Sub | 176 | C=0.528 | T=0.472 |
Korean Genome Project | KOREAN | Study-wide | 1832 | C=0.7200 | T=0.2800 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.614 | T=0.386 |
CNV burdens in cranial meningiomas | Global | Study-wide | 790 | C=0.728 | T=0.272 |
CNV burdens in cranial meningiomas | CRM | Sub | 790 | C=0.728 | T=0.272 |
Northern Sweden | ACPOP | Study-wide | 600 | C=0.642 | T=0.358 |
SGDP_PRJ | Global | Study-wide | 242 | C=0.401 | T=0.599 |
Qatari | Global | Study-wide | 216 | C=0.593 | T=0.407 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 56 | C=0.68 | T=0.32 |
The Danish reference pan genome | Danish | Study-wide | 40 | C=0.53 | T=0.47 |
Siberian | Global | Study-wide | 26 | C=0.38 | T=0.62 |
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.
Sequence name | Change |
---|---|
GRCh38.p14 chr 15 | NC_000015.10:g.78606381C>A |
GRCh38.p14 chr 15 | NC_000015.10:g.78606381C>G |
GRCh38.p14 chr 15 | NC_000015.10:g.78606381C>T |
GRCh37.p13 chr 15 | NC_000015.9:g.78898723C>A |
GRCh37.p13 chr 15 | NC_000015.9:g.78898723C>G |
GRCh37.p13 chr 15 | NC_000015.9:g.78898723C>T |
CHRNA3 RefSeqGene | NG_016143.1:g.19915G>T |
CHRNA3 RefSeqGene | NG_016143.1:g.19915G>C |
CHRNA3 RefSeqGene | NG_016143.1:g.19915G>A |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
CHRNA3 transcript variant 1 | NM_000743.5:c.378-4117G>T | N/A | Intron Variant |
CHRNA3 transcript variant 2 |
NM_001166694.2:c.378-4117… NM_001166694.2:c.378-4117G>T |
N/A | Intron Variant |
CHRNA3 transcript variant 3 | NR_046313.2:n. | N/A | Intron Variant |
CHRNA3 transcript variant X1 |
XM_006720382.4:c.177-4117… XM_006720382.4:c.177-4117G>T |
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.
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= | A | G | T |
---|---|---|---|---|
GRCh38.p14 chr 15 | NC_000015.10:g.78606381= | NC_000015.10:g.78606381C>A | NC_000015.10:g.78606381C>G | NC_000015.10:g.78606381C>T |
GRCh37.p13 chr 15 | NC_000015.9:g.78898723= | NC_000015.9:g.78898723C>A | NC_000015.9:g.78898723C>G | NC_000015.9:g.78898723C>T |
CHRNA3 RefSeqGene | NG_016143.1:g.19915= | NG_016143.1:g.19915G>T | NG_016143.1:g.19915G>C | NG_016143.1:g.19915G>A |
CHRNA3 transcript variant 1 | NM_000743.4:c.378-4117= | NM_000743.4:c.378-4117G>T | NM_000743.4:c.378-4117G>C | NM_000743.4:c.378-4117G>A |
CHRNA3 transcript variant 1 | NM_000743.5:c.378-4117= | NM_000743.5:c.378-4117G>T | NM_000743.5:c.378-4117G>C | NM_000743.5:c.378-4117G>A |
CHRNA3 transcript variant 2 | NM_001166694.1:c.378-4117= | NM_001166694.1:c.378-4117G>T | NM_001166694.1:c.378-4117G>C | NM_001166694.1:c.378-4117G>A |
CHRNA3 transcript variant 2 | NM_001166694.2:c.378-4117= | NM_001166694.2:c.378-4117G>T | NM_001166694.2:c.378-4117G>C | NM_001166694.2:c.378-4117G>A |
CHRNA3 transcript variant X1 | XM_006720382.4:c.177-4117= | XM_006720382.4:c.177-4117G>T | XM_006720382.4:c.177-4117G>C | XM_006720382.4:c.177-4117G>A |
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#.
No | Submitter | Submission ID | Date (Build) |
---|---|---|---|
1 | SSAHASNP | ss21288574 | Apr 05, 2004 (121) |
2 | ABI | ss40569455 | Mar 15, 2006 (126) |
3 | ILLUMINA | ss67046285 | Dec 01, 2006 (127) |
4 | ILLUMINA | ss67371726 | Dec 01, 2006 (127) |
5 | ILLUMINA | ss68141166 | Dec 12, 2006 (127) |
6 | ILLUMINA | ss70588395 | May 25, 2008 (130) |
7 | ILLUMINA | ss71131670 | May 17, 2007 (127) |
8 | ILLUMINA | ss75487714 | Dec 07, 2007 (129) |
9 | HGSV | ss77114231 | Dec 07, 2007 (129) |
10 | KRIBB_YJKIM | ss85283551 | Dec 15, 2007 (130) |
11 | HUMANGENOME_JCVI | ss96773846 | Feb 05, 2009 (130) |
12 | BGI | ss103254303 | Dec 01, 2009 (131) |
13 | 1000GENOMES | ss108966844 | Jan 23, 2009 (130) |
14 | ENSEMBL | ss136848940 | Dec 01, 2009 (131) |
15 | ILLUMINA | ss153294791 | Dec 01, 2009 (131) |
16 | GMI | ss156762862 | Dec 01, 2009 (131) |
17 | ILLUMINA | ss159238674 | Dec 01, 2009 (131) |
18 | ILLUMINA | ss160306488 | Dec 01, 2009 (131) |
19 | ILLUMINA | ss172275888 | Jul 04, 2010 (132) |
20 | BCM-HGSC-SUB | ss207330229 | Jul 04, 2010 (132) |
21 | 1000GENOMES | ss226987938 | Jul 14, 2010 (132) |
22 | 1000GENOMES | ss236845761 | Jul 15, 2010 (132) |
23 | 1000GENOMES | ss243220631 | Jul 15, 2010 (132) |
24 | GMI | ss282327738 | May 04, 2012 (137) |
25 | GMI | ss286987137 | Apr 25, 2013 (138) |
26 | PJP | ss291757356 | May 09, 2011 (134) |
27 | ILLUMINA | ss410902720 | Sep 17, 2011 (135) |
28 | ILLUMINA | ss479840528 | May 04, 2012 (137) |
29 | ILLUMINA | ss479847991 | May 04, 2012 (137) |
30 | ILLUMINA | ss480442667 | Sep 08, 2015 (146) |
31 | ILLUMINA | ss484718753 | May 04, 2012 (137) |
32 | ILLUMINA | ss536821460 | Sep 08, 2015 (146) |
33 | TISHKOFF | ss564593500 | Apr 25, 2013 (138) |
34 | SSMP | ss660331006 | Apr 25, 2013 (138) |
35 | ILLUMINA | ss778417842 | Sep 08, 2015 (146) |
36 | ILLUMINA | ss782806099 | Sep 08, 2015 (146) |
37 | ILLUMINA | ss783771480 | Sep 08, 2015 (146) |
38 | ILLUMINA | ss832059206 | Sep 08, 2015 (146) |
39 | ILLUMINA | ss832750996 | Jul 13, 2019 (153) |
40 | ILLUMINA | ss833873182 | Sep 08, 2015 (146) |
41 | EVA-GONL | ss991982022 | Aug 21, 2014 (142) |
42 | JMKIDD_LAB | ss1080267037 | Aug 21, 2014 (142) |
43 | 1000GENOMES | ss1354231444 | Aug 21, 2014 (142) |
44 | DDI | ss1427685777 | Apr 01, 2015 (144) |
45 | EVA_GENOME_DK | ss1577713215 | Apr 01, 2015 (144) |
46 | EVA_UK10K_ALSPAC | ss1633409737 | Apr 01, 2015 (144) |
47 | EVA_UK10K_TWINSUK | ss1676403770 | Apr 01, 2015 (144) |
48 | EVA_SVP | ss1713504260 | Apr 01, 2015 (144) |
49 | ILLUMINA | ss1752172493 | Sep 08, 2015 (146) |
50 | HAMMER_LAB | ss1808288177 | Sep 08, 2015 (146) |
51 | WEILL_CORNELL_DGM | ss1935385162 | Feb 12, 2016 (147) |
52 | ILLUMINA | ss1946399442 | Feb 12, 2016 (147) |
53 | ILLUMINA | ss1959628692 | Feb 12, 2016 (147) |
54 | GENOMED | ss1968152668 | Jul 19, 2016 (147) |
55 | JJLAB | ss2028474153 | Sep 14, 2016 (149) |
56 | USC_VALOUEV | ss2156882707 | Dec 20, 2016 (150) |
57 | HUMAN_LONGEVITY | ss2208362647 | Dec 20, 2016 (150) |
58 | SYSTEMSBIOZJU | ss2628732225 | Nov 08, 2017 (151) |
59 | ILLUMINA | ss2633253986 | Nov 08, 2017 (151) |
60 | ILLUMINA | ss2633253987 | Nov 08, 2017 (151) |
61 | ILLUMINA | ss2633253988 | Nov 08, 2017 (151) |
62 | ILLUMINA | ss2635059731 | Nov 08, 2017 (151) |
63 | GRF | ss2701363309 | Nov 08, 2017 (151) |
64 | ILLUMINA | ss2710821058 | Nov 08, 2017 (151) |
65 | GNOMAD | ss2937111070 | Nov 08, 2017 (151) |
66 | AFFY | ss2985683980 | Nov 08, 2017 (151) |
67 | SWEGEN | ss3013594123 | Nov 08, 2017 (151) |
68 | ILLUMINA | ss3021651915 | Nov 08, 2017 (151) |
69 | BIOINF_KMB_FNS_UNIBA | ss3028061349 | Nov 08, 2017 (151) |
70 | CSHL | ss3351199677 | Nov 08, 2017 (151) |
71 | ILLUMINA | ss3625678990 | Oct 12, 2018 (152) |
72 | ILLUMINA | ss3627406777 | Oct 12, 2018 (152) |
73 | ILLUMINA | ss3631245088 | Oct 12, 2018 (152) |
74 | ILLUMINA | ss3633103686 | Oct 12, 2018 (152) |
75 | ILLUMINA | ss3633808615 | Oct 12, 2018 (152) |
76 | ILLUMINA | ss3634616133 | Oct 12, 2018 (152) |
77 | ILLUMINA | ss3635497385 | Oct 12, 2018 (152) |
78 | ILLUMINA | ss3636306550 | Oct 12, 2018 (152) |
79 | ILLUMINA | ss3637248697 | Oct 12, 2018 (152) |
80 | ILLUMINA | ss3638097040 | Oct 12, 2018 (152) |
81 | ILLUMINA | ss3639061036 | Oct 12, 2018 (152) |
82 | ILLUMINA | ss3639839704 | Oct 12, 2018 (152) |
83 | ILLUMINA | ss3640323454 | Oct 12, 2018 (152) |
84 | ILLUMINA | ss3641063247 | Oct 12, 2018 (152) |
85 | ILLUMINA | ss3641358656 | Oct 12, 2018 (152) |
86 | ILLUMINA | ss3643080482 | Oct 12, 2018 (152) |
87 | ILLUMINA | ss3643889749 | Oct 12, 2018 (152) |
88 | ILLUMINA | ss3644652557 | Oct 12, 2018 (152) |
89 | URBANLAB | ss3650397578 | Oct 12, 2018 (152) |
90 | ILLUMINA | ss3652053686 | Oct 12, 2018 (152) |
91 | EGCUT_WGS | ss3680735495 | Jul 13, 2019 (153) |
92 | EVA_DECODE | ss3698269953 | Jul 13, 2019 (153) |
93 | ILLUMINA | ss3725516558 | Jul 13, 2019 (153) |
94 | ACPOP | ss3741087629 | Jul 13, 2019 (153) |
95 | ILLUMINA | ss3744133840 | Jul 13, 2019 (153) |
96 | ILLUMINA | ss3744423411 | Jul 13, 2019 (153) |
97 | ILLUMINA | ss3744916655 | Jul 13, 2019 (153) |
98 | EVA | ss3753326036 | Jul 13, 2019 (153) |
99 | PAGE_CC | ss3771843529 | Jul 13, 2019 (153) |
100 | ILLUMINA | ss3772415202 | Jul 13, 2019 (153) |
101 | KHV_HUMAN_GENOMES | ss3818629986 | Jul 13, 2019 (153) |
102 | EVA | ss3834329342 | Apr 27, 2020 (154) |
103 | EVA | ss3840764292 | Apr 27, 2020 (154) |
104 | EVA | ss3846254281 | Apr 27, 2020 (154) |
105 | HGDP | ss3847529766 | Apr 27, 2020 (154) |
106 | SGDP_PRJ | ss3883314370 | Apr 27, 2020 (154) |
107 | KRGDB | ss3932543619 | Apr 27, 2020 (154) |
108 | KOGIC | ss3976541557 | Apr 27, 2020 (154) |
109 | EVA | ss3984450118 | Apr 27, 2021 (155) |
110 | EVA | ss3984704409 | Apr 27, 2021 (155) |
111 | EVA | ss3985728213 | Apr 27, 2021 (155) |
112 | TOPMED | ss4998156886 | Apr 27, 2021 (155) |
113 | TOMMO_GENOMICS | ss5217094995 | Apr 27, 2021 (155) |
114 | EVA | ss5237554262 | Apr 27, 2021 (155) |
115 | 1000G_HIGH_COVERAGE | ss5299113975 | Oct 16, 2022 (156) |
116 | EVA | ss5315798764 | Oct 16, 2022 (156) |
117 | EVA | ss5420470465 | Oct 16, 2022 (156) |
118 | HUGCELL_USP | ss5492771758 | Oct 16, 2022 (156) |
119 | EVA | ss5511491031 | Oct 16, 2022 (156) |
120 | 1000G_HIGH_COVERAGE | ss5600853422 | Oct 16, 2022 (156) |
121 | SANFORD_IMAGENETICS | ss5624365879 | Oct 16, 2022 (156) |
122 | SANFORD_IMAGENETICS | ss5657887492 | Oct 16, 2022 (156) |
123 | TOMMO_GENOMICS | ss5771171329 | Oct 16, 2022 (156) |
124 | EVA | ss5799943164 | Oct 16, 2022 (156) |
125 | YY_MCH | ss5815502297 | Oct 16, 2022 (156) |
126 | EVA | ss5828461672 | Oct 16, 2022 (156) |
127 | EVA | ss5847452339 | Oct 16, 2022 (156) |
128 | EVA | ss5847750817 | Oct 16, 2022 (156) |
129 | EVA | ss5851370584 | Oct 16, 2022 (156) |
130 | EVA | ss5876652088 | Oct 16, 2022 (156) |
131 | EVA | ss5949305704 | Oct 16, 2022 (156) |
132 | EVA | ss5979467714 | Oct 16, 2022 (156) |
133 | 1000Genomes | NC_000015.9 - 78898723 | Oct 12, 2018 (152) |
134 | 1000Genomes_30x | NC_000015.10 - 78606381 | Oct 16, 2022 (156) |
135 | The Avon Longitudinal Study of Parents and Children | NC_000015.9 - 78898723 | Oct 12, 2018 (152) |
136 | Genetic variation in the Estonian population | NC_000015.9 - 78898723 | Oct 12, 2018 (152) |
137 | The Danish reference pan genome | NC_000015.9 - 78898723 | Apr 27, 2020 (154) |
138 |
gnomAD - Genomes
Submission ignored due to conflicting rows: |
- | Apr 27, 2021 (155) |
139 |
gnomAD - Genomes
Submission ignored due to conflicting rows: |
- | Apr 27, 2021 (155) |
140 | Genome of the Netherlands Release 5 | NC_000015.9 - 78898723 | Apr 27, 2020 (154) |
141 | HGDP-CEPH-db Supplement 1 | NC_000015.8 - 76685778 | Apr 27, 2020 (154) |
142 | HapMap | NC_000015.10 - 78606381 | Apr 27, 2020 (154) |
143 | KOREAN population from KRGDB | NC_000015.9 - 78898723 | Apr 27, 2020 (154) |
144 | Korean Genome Project | NC_000015.10 - 78606381 | Apr 27, 2020 (154) |
145 | Northern Sweden | NC_000015.9 - 78898723 | Jul 13, 2019 (153) |
146 | The PAGE Study | NC_000015.10 - 78606381 | Jul 13, 2019 (153) |
147 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000015.9 - 78898723 | Apr 27, 2021 (155) |
148 | CNV burdens in cranial meningiomas | NC_000015.9 - 78898723 | Apr 27, 2021 (155) |
149 | MxGDAR/Encodat-PGx | NC_000015.9 - 78898723 | Apr 27, 2021 (155) |
150 | Qatari | NC_000015.9 - 78898723 | Apr 27, 2020 (154) |
151 | SGDP_PRJ | NC_000015.9 - 78898723 | Apr 27, 2020 (154) |
152 | Siberian | NC_000015.9 - 78898723 | Apr 27, 2020 (154) |
153 | 8.3KJPN | NC_000015.9 - 78898723 | Apr 27, 2021 (155) |
154 | 14KJPN | NC_000015.10 - 78606381 | Oct 16, 2022 (156) |
155 | TopMed | NC_000015.10 - 78606381 | Apr 27, 2021 (155) |
156 | UK 10K study - Twins | NC_000015.9 - 78898723 | Oct 12, 2018 (152) |
157 | ALFA | NC_000015.10 - 78606381 | Apr 27, 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) |
---|---|
rs59251142 | May 25, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss2937111070 | NC_000015.9:78898722:C:A | NC_000015.10:78606380:C:A | (self) |
3212553859, ss2208362647 | NC_000015.10:78606380:C:A | NC_000015.10:78606380:C:A | (self) |
39721013, ss3932543619 | NC_000015.9:78898722:C:G | NC_000015.10:78606380:C:G | (self) |
207658, ss77114231, ss108966844, ss207330229, ss282327738, ss286987137, ss291757356, ss479840528, ss1713504260, ss2635059731, ss3639061036, ss3639839704, ss3643080482, ss3643889749, ss3847529766 | NC_000015.8:76685777:C:T | NC_000015.10:78606380:C:T | (self) |
67330772, 37390037, 26473743, 3933796, 16684449, 39721013, 14372494, 954140, 253934, 3119, 17427092, 35331350, 9399061, 75064302, 37390037, ss226987938, ss236845761, ss243220631, ss479847991, ss480442667, ss484718753, ss536821460, ss564593500, ss660331006, ss778417842, ss782806099, ss783771480, ss832059206, ss832750996, ss833873182, ss991982022, ss1080267037, ss1354231444, ss1427685777, ss1577713215, ss1633409737, ss1676403770, ss1752172493, ss1808288177, ss1935385162, ss1946399442, ss1959628692, ss1968152668, ss2028474153, ss2156882707, ss2628732225, ss2633253986, ss2633253987, ss2633253988, ss2701363309, ss2710821058, ss2937111070, ss2985683980, ss3013594123, ss3021651915, ss3351199677, ss3625678990, ss3627406777, ss3631245088, ss3633103686, ss3633808615, ss3634616133, ss3635497385, ss3636306550, ss3637248697, ss3638097040, ss3640323454, ss3641063247, ss3641358656, ss3644652557, ss3652053686, ss3680735495, ss3741087629, ss3744133840, ss3744423411, ss3744916655, ss3753326036, ss3772415202, ss3834329342, ss3840764292, ss3883314370, ss3932543619, ss3984450118, ss3984704409, ss3985728213, ss5217094995, ss5237554262, ss5315798764, ss5420470465, ss5511491031, ss5624365879, ss5657887492, ss5799943164, ss5828461672, ss5847452339, ss5847750817, ss5949305704, ss5979467714 | NC_000015.9:78898722:C:T | NC_000015.10:78606380:C:T | (self) |
88379357, 1299230, 32919558, 1064998, 105008433, 213702546, 3212553859, ss2208362647, ss3028061349, ss3650397578, ss3698269953, ss3725516558, ss3771843529, ss3818629986, ss3846254281, ss3976541557, ss4998156886, ss5299113975, ss5492771758, ss5600853422, ss5771171329, ss5815502297, ss5851370584, ss5876652088 | NC_000015.10:78606380:C:T | NC_000015.10:78606380:C:T | (self) |
ss21288574 | NT_010194.16:49689042:C:T | NC_000015.10:78606380:C:T | (self) |
ss40569455, ss67046285, ss67371726, ss68141166, ss70588395, ss71131670, ss75487714, ss85283551, ss96773846, ss103254303, ss136848940, ss153294791, ss156762862, ss159238674, ss160306488, ss172275888, ss410902720 | NT_010194.17:49689279:C:T | NC_000015.10:78606380:C:T | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
PMID | Title | Author | Year | Journal |
---|---|---|---|---|
18759969 | In search of causal variants: refining disease association signals using cross-population contrasts. | Saccone NL et al. | 2008 | BMC genetics |
19247474 | Genome-wide and candidate gene association study of cigarette smoking behaviors. | Caporaso N et al. | 2009 | PloS one |
19628476 | Association of serum cotinine level with a cluster of three nicotinic acetylcholine receptor genes (CHRNA3/CHRNA5/CHRNB4) on chromosome 15. | Keskitalo K et al. | 2009 | Human molecular genetics |
19654303 | Deciphering the impact of common genetic variation on lung cancer risk: a genome-wide association study. | Broderick P et al. | 2009 | Cancer research |
19836008 | A genome-wide association study of lung cancer identifies a region of chromosome 5p15 associated with risk for adenocarcinoma. | Landi MT et al. | 2009 | American journal of human genetics |
19859904 | Association and interaction analysis of variants in CHRNA5/CHRNA3/CHRNB4 gene cluster with nicotine dependence in African and European Americans. | Li MD et al. | 2010 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
19955392 | Role of 5p15.33 (TERT-CLPTM1L), 6p21.33 and 15q25.1 (CHRNA5-CHRNA3) variation and lung cancer risk in never-smokers. | Wang Y et al. | 2010 | Carcinogenesis |
20418890 | Genome-wide meta-analyses identify multiple loci associated with smoking behavior. | 2010 | Nature genetics | |
20485328 | Variation in nicotinic acetylcholine receptor genes is associated with multiple substance dependence phenotypes. | Sherva R et al. | 2010 | Neuropsychopharmacology |
20548021 | Replication of lung cancer susceptibility loci at chromosomes 15q25, 5p15, and 6p21: a pooled analysis from the International Lung Cancer Consortium. | Truong T et al. | 2010 | Journal of the National Cancer Institute |
20554942 | Nicotinic acetylcholine receptor region on chromosome 15q25 and lung cancer risk among African Americans: a case-control study. | Amos CI et al. | 2010 | Journal of the National Cancer Institute |
20585100 | Genome-wide association studies of cancer. | Stadler ZK et al. | 2010 | Journal of clinical oncology |
20808433 | Associations of variants in CHRNA5/A3/B4 gene cluster with smoking behaviors in a Korean population. | Li MD et al. | 2010 | PloS one |
21436384 | Genetic variability of smoking persistence in African Americans. | Hamidovic A et al. | 2011 | Cancer prevention research (Philadelphia, Pa.) |
21559498 | Chromosome 15q25 (CHRNA3-CHRNA5) variation impacts indirectly on lung cancer risk. | Wang Y et al. | 2011 | PloS one |
21808284 | Gender-stratified gene and gene-treatment interactions in smoking cessation. | Lee W et al. | 2012 | The pharmacogenomics journal |
21921092 | Identification of FGF7 as a novel susceptibility locus for chronic obstructive pulmonary disease. | Brehm JM et al. | 2011 | Thorax |
21949713 | Genetics of sputum gene expression in chronic obstructive pulmonary disease. | Qiu W et al. | 2011 | PloS one |
22074863 | N-acetyltransferase 2 polymorphisms, tobacco smoking, and breast cancer risk in the breast and prostate cancer cohort consortium. | Cox DG et al. | 2011 | American journal of epidemiology |
22290489 | Pharmacogenetics of smoking cessation: role of nicotine target and metabolism genes. | Gold AB et al. | 2012 | Human genetics |
22291610 | A flexible Bayesian model for studying gene-environment interaction. | Yu K et al. | 2012 | PLoS genetics |
22430809 | Association between a genome-wide association study-identified locus and the risk of lung cancer in Japanese population. | Ito H et al. | 2012 | Journal of thoracic oncology |
22945651 | Epigenetic screen identifies genotype-specific promoter DNA methylation and oncogenic potential of CHRNB4. | Scherf DB et al. | 2013 | Oncogene |
23094028 | Genetic association analysis of complex diseases incorporating intermediate phenotype information. | Li Y et al. | 2012 | PloS one |
23689675 | Genetic risk for nicotine dependence in the cholinergic system and activation of the brain reward system in healthy adolescents. | Nees F et al. | 2013 | Neuropsychopharmacology |
23701534 | Genetic instrumental variable studies of effects of prenatal risk factors. | Wehby GL et al. | 2013 | Biodemography and social biology |
23870182 | Bridging the clinical gaps: genetic, epigenetic and transcriptomic biomarkers for the early detection of lung cancer in the post-National Lung Screening Trial era. | Brothers JF et al. | 2013 | BMC medicine |
24686516 | CHRNA3 polymorphism modifies lung adenocarcinoma risk in the Chinese Han population. | He P et al. | 2014 | International journal of molecular sciences |
25036316 | Joint association of nicotinic acetylcholine receptor variants with abdominal obesity in American Indians: the Strong Heart Family Study. | Zhu Y et al. | 2014 | PloS one |
25233467 | Role of nicotine dependence on the relationship between variants in the nicotinic receptor genes and risk of lung adenocarcinoma. | Tseng TS et al. | 2014 | PloS one |
25656608 | CHRNA3 genetic polymorphism and the risk of lung cancer in the Chinese Han smoking population. | Zhou W et al. | 2015 | Tumour biology |
26831765 | Association between two CHRNA3 variants and susceptibility of lung cancer: a meta-analysis. | Qu X et al. | 2016 | Scientific reports |
26942719 | Chromosome 15q25 (CHRNA3-CHRNB4) Variation Indirectly Impacts Lung Cancer Risk in Chinese Males. | Zhang Y et al. | 2016 | PloS one |
26948517 | Genetic scores of smoking behaviour in a Chinese population. | Yang S et al. | 2016 | Scientific reports |
27099524 | Natural killer cells and single nucleotide polymorphisms of specific ion channels and receptor genes in myalgic encephalomyelitis/chronic fatigue syndrome. | Marshall-Gradisnik S et al. | 2016 | The application of clinical genetics |
27294413 | Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016. | Srivastava AK et al. | 2016 | Human genomics |
27694844 | An Adaptive Fisher's Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies. | Liang X et al. | 2016 | Scientific reports |
28827732 | Genetic predisposition to lung cancer: comprehensive literature integration, meta-analysis, and multiple evidence assessment of candidate-gene association studies. | Wang J et al. | 2017 | Scientific reports |
29422661 | Understanding the role of the chromosome 15q25.1 in COPD through epigenetics and transcriptomics. | Nedeljkovic I et al. | 2018 | European journal of human genetics |
29631575 | The genetics of smoking in individuals with chronic obstructive pulmonary disease. | Obeidat M et al. | 2018 | Respiratory research |
29688369 | The SNPcurator: literature mining of enriched SNP-disease associations. | Tawfik NS et al. | 2018 | Database |
29879020 | Association analysis of CHRNA3 polymorphisms with schizophrenia in a Chinese Han population: A case-control study. | Li G et al. | 2018 | Medicine |
31061854 | Data on genotype frequency for SNPs associated to age of smoking onset and successful smoking cessation treatment. | Pérez-Rubio G et al. | 2019 | Data in brief |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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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.
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.