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.
rs2304297
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr8:42753056 (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>C
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
C=0.408459 (108115/264690, TOPMED)C=0.394938 (55304/140032, GnomAD)C=0.16579 (4685/28258, 14KJPN) (+ 19 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- CHRNA6 : 3 Prime UTR Variant
- Publications
- 23 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 |
---|---|---|---|---|
Total | Global | 20068 | G=0.68108 | C=0.31892 |
European | Sub | 15436 | G=0.76646 | C=0.23354 |
African | Sub | 2946 | G=0.2325 | C=0.7675 |
African Others | Sub | 114 | G=0.140 | C=0.860 |
African American | Sub | 2832 | G=0.2362 | C=0.7638 |
Asian | Sub | 112 | G=0.795 | C=0.205 |
East Asian | Sub | 86 | G=0.80 | C=0.20 |
Other Asian | Sub | 26 | G=0.77 | C=0.23 |
Latin American 1 | Sub | 146 | G=0.658 | C=0.342 |
Latin American 2 | Sub | 610 | G=0.733 | C=0.267 |
South Asian | Sub | 98 | G=0.72 | C=0.28 |
Other | Sub | 720 | G=0.624 | C=0.376 |
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 |
---|---|---|---|---|---|
TopMed | Global | Study-wide | 264690 | G=0.591541 | C=0.408459 |
gnomAD - Genomes | Global | Study-wide | 140032 | G=0.605062 | C=0.394938 |
gnomAD - Genomes | European | Sub | 75880 | G=0.77652 | C=0.22348 |
gnomAD - Genomes | African | Sub | 41932 | G=0.23824 | C=0.76176 |
gnomAD - Genomes | American | Sub | 13620 | G=0.70609 | C=0.29391 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | G=0.7219 | C=0.2781 |
gnomAD - Genomes | East Asian | Sub | 3126 | G=0.7780 | C=0.2220 |
gnomAD - Genomes | Other | Sub | 2152 | G=0.6362 | C=0.3638 |
14KJPN | JAPANESE | Study-wide | 28258 | G=0.83421 | C=0.16579 |
Allele Frequency Aggregator | Total | Global | 20068 | G=0.68108 | C=0.31892 |
Allele Frequency Aggregator | European | Sub | 15436 | G=0.76646 | C=0.23354 |
Allele Frequency Aggregator | African | Sub | 2946 | G=0.2325 | C=0.7675 |
Allele Frequency Aggregator | Other | Sub | 720 | G=0.624 | C=0.376 |
Allele Frequency Aggregator | Latin American 2 | Sub | 610 | G=0.733 | C=0.267 |
Allele Frequency Aggregator | Latin American 1 | Sub | 146 | G=0.658 | C=0.342 |
Allele Frequency Aggregator | Asian | Sub | 112 | G=0.795 | C=0.205 |
Allele Frequency Aggregator | South Asian | Sub | 98 | G=0.72 | C=0.28 |
8.3KJPN | JAPANESE | Study-wide | 16760 | G=0.83228 | C=0.16772 |
1000Genomes_30x | Global | Study-wide | 6404 | G=0.5682 | C=0.4318 |
1000Genomes_30x | African | Sub | 1786 | G=0.1232 | C=0.8768 |
1000Genomes_30x | Europe | Sub | 1266 | G=0.7670 | C=0.2330 |
1000Genomes_30x | South Asian | Sub | 1202 | G=0.7105 | C=0.2895 |
1000Genomes_30x | East Asian | Sub | 1170 | G=0.7692 | C=0.2308 |
1000Genomes_30x | American | Sub | 980 | G=0.708 | C=0.292 |
1000Genomes | Global | Study-wide | 5008 | G=0.5771 | C=0.4229 |
1000Genomes | African | Sub | 1322 | G=0.1218 | C=0.8782 |
1000Genomes | East Asian | Sub | 1008 | G=0.7669 | C=0.2331 |
1000Genomes | Europe | Sub | 1006 | G=0.7714 | C=0.2286 |
1000Genomes | South Asian | Sub | 978 | G=0.707 | C=0.293 |
1000Genomes | American | Sub | 694 | G=0.705 | C=0.295 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.7708 | C=0.2292 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.7761 | C=0.2239 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.7662 | C=0.2338 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | G=0.8116 | C=0.1884 |
HapMap | Global | Study-wide | 1890 | G=0.5254 | C=0.4746 |
HapMap | American | Sub | 768 | G=0.686 | C=0.314 |
HapMap | African | Sub | 692 | G=0.186 | C=0.814 |
HapMap | Asian | Sub | 254 | G=0.803 | C=0.197 |
HapMap | Europe | Sub | 176 | G=0.756 | C=0.244 |
Korean Genome Project | KOREAN | Study-wide | 1832 | G=0.7931 | C=0.2069 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | G=0.801 | C=0.199 |
CNV burdens in cranial meningiomas | Global | Study-wide | 786 | G=0.768 | C=0.232 |
CNV burdens in cranial meningiomas | CRM | Sub | 786 | G=0.768 | C=0.232 |
Northern Sweden | ACPOP | Study-wide | 600 | G=0.765 | C=0.235 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | G=0.895 | C=0.105 |
SGDP_PRJ | Global | Study-wide | 302 | G=0.341 | C=0.659 |
Qatari | Global | Study-wide | 216 | G=0.606 | C=0.394 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 216 | G=0.819 | C=0.181 |
The Danish reference pan genome | Danish | Study-wide | 40 | G=0.68 | C=0.33 |
Siberian | Global | Study-wide | 22 | G=0.45 | C=0.55 |
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 8 | NC_000008.11:g.42753056G>C |
GRCh37.p13 chr 8 | NC_000008.10:g.42608199G>C |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
CHRNA6 transcript variant 1 | NM_004198.3:c.*123= | N/A | 3 Prime UTR Variant |
CHRNA6 transcript variant 2 | NM_001199279.1:c.*123= | N/A | 3 Prime UTR Variant |
CHRNA6 transcript variant X1 | XM_047422396.1:c.*123= | N/A | 3 Prime UTR 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 | G= | C |
---|---|---|
GRCh38.p14 chr 8 | NC_000008.11:g.42753056= | NC_000008.11:g.42753056G>C |
GRCh37.p13 chr 8 | NC_000008.10:g.42608199= | NC_000008.10:g.42608199G>C |
CHRNA6 transcript variant 1 | NM_004198.3:c.*123= | NM_004198.3:c.*123C>G |
CHRNA6 transcript variant 2 | NM_001199279.1:c.*123= | NM_001199279.1:c.*123C>G |
CHRNA6 transcript variant X1 | XM_047422396.1:c.*123= | XM_047422396.1:c.*123C>G |
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 | YUSUKE | ss3251153 | Sep 28, 2001 (100) |
2 | WI_SSAHASNP | ss11969812 | Jul 11, 2003 (116) |
3 | WI_SSAHASNP | ss14325832 | Dec 05, 2003 (119) |
4 | PERLEGEN | ss23481809 | Sep 20, 2004 (123) |
5 | SI_EXO | ss52075603 | Oct 15, 2006 (127) |
6 | ILLUMINA | ss65733728 | Oct 15, 2006 (127) |
7 | AFFY | ss66454047 | Nov 30, 2006 (127) |
8 | PERLEGEN | ss69047893 | May 17, 2007 (127) |
9 | TAPPERS | ss69371815 | May 17, 2007 (127) |
10 | AFFY | ss76246875 | Dec 07, 2007 (129) |
11 | UUGC | ss76901684 | Dec 07, 2007 (129) |
12 | KRIBB_YJKIM | ss81758553 | Dec 15, 2007 (130) |
13 | BCMHGSC_JDW | ss93876518 | Mar 25, 2008 (129) |
14 | SHGC | ss99307537 | Feb 04, 2009 (130) |
15 | 1000GENOMES | ss107989797 | Jan 22, 2009 (130) |
16 | 1000GENOMES | ss115334636 | Jan 25, 2009 (130) |
17 | ENSEMBL | ss143421744 | Dec 01, 2009 (131) |
18 | ILLUMINA | ss160534215 | Dec 01, 2009 (131) |
19 | PERLEGEN | ss161151705 | Dec 01, 2009 (131) |
20 | COMPLETE_GENOMICS | ss162360969 | Jul 04, 2010 (132) |
21 | COMPLETE_GENOMICS | ss164533319 | Jul 04, 2010 (132) |
22 | AFFY | ss172962535 | Jul 04, 2010 (132) |
23 | BUSHMAN | ss199092258 | Jul 04, 2010 (132) |
24 | BCM-HGSC-SUB | ss208678021 | Jul 04, 2010 (132) |
25 | 1000GENOMES | ss223674998 | Jul 14, 2010 (132) |
26 | 1000GENOMES | ss234416123 | Jul 15, 2010 (132) |
27 | 1000GENOMES | ss241276973 | Jul 15, 2010 (132) |
28 | GMI | ss279786005 | May 04, 2012 (137) |
29 | PJP | ss294264688 | May 09, 2011 (134) |
30 | ILLUMINA | ss481351251 | Sep 08, 2015 (146) |
31 | GSK-GENETICS | ss491277331 | May 04, 2012 (137) |
32 | ILLUMINA | ss534249524 | Sep 08, 2015 (146) |
33 | TISHKOFF | ss560711983 | Apr 25, 2013 (138) |
34 | SSMP | ss655143806 | Apr 25, 2013 (138) |
35 | EVA-GONL | ss985447466 | Aug 21, 2014 (142) |
36 | JMKIDD_LAB | ss1075471477 | Aug 21, 2014 (142) |
37 | 1000GENOMES | ss1329585935 | Aug 21, 2014 (142) |
38 | DDI | ss1431493797 | Apr 01, 2015 (144) |
39 | EVA_GENOME_DK | ss1582661078 | Apr 01, 2015 (144) |
40 | EVA_DECODE | ss1595045069 | Apr 01, 2015 (144) |
41 | EVA_UK10K_ALSPAC | ss1620495127 | Apr 01, 2015 (144) |
42 | EVA_UK10K_TWINSUK | ss1663489160 | Apr 01, 2015 (144) |
43 | EVA_MGP | ss1711199979 | Apr 01, 2015 (144) |
44 | EVA_SVP | ss1713033120 | Apr 01, 2015 (144) |
45 | HAMMER_LAB | ss1805508727 | Sep 08, 2015 (146) |
46 | WEILL_CORNELL_DGM | ss1928736809 | Feb 12, 2016 (147) |
47 | GENOMED | ss1970968509 | Jul 19, 2016 (147) |
48 | JJLAB | ss2025071341 | Sep 14, 2016 (149) |
49 | USC_VALOUEV | ss2153293823 | Dec 20, 2016 (150) |
50 | HUMAN_LONGEVITY | ss2302699010 | Dec 20, 2016 (150) |
51 | SYSTEMSBIOZJU | ss2627017709 | Nov 08, 2017 (151) |
52 | GRF | ss2709059834 | Nov 08, 2017 (151) |
53 | GNOMAD | ss2865990605 | Nov 08, 2017 (151) |
54 | AFFY | ss2986081568 | Nov 08, 2017 (151) |
55 | SWEGEN | ss3003069067 | Nov 08, 2017 (151) |
56 | BIOINF_KMB_FNS_UNIBA | ss3026325511 | Nov 08, 2017 (151) |
57 | CSHL | ss3348155086 | Nov 08, 2017 (151) |
58 | ILLUMINA | ss3630049892 | Oct 12, 2018 (152) |
59 | ILLUMINA | ss3636907183 | Oct 12, 2018 (152) |
60 | OMUKHERJEE_ADBS | ss3646374988 | Oct 12, 2018 (152) |
61 | EGCUT_WGS | ss3670763470 | Jul 13, 2019 (153) |
62 | EVA_DECODE | ss3721892042 | Jul 13, 2019 (153) |
63 | ACPOP | ss3735611405 | Jul 13, 2019 (153) |
64 | EVA | ss3767922903 | Jul 13, 2019 (153) |
65 | PACBIO | ss3786130778 | Jul 13, 2019 (153) |
66 | PACBIO | ss3791389893 | Jul 13, 2019 (153) |
67 | PACBIO | ss3796271183 | Jul 13, 2019 (153) |
68 | KHV_HUMAN_GENOMES | ss3811083501 | Jul 13, 2019 (153) |
69 | EVA | ss3825740634 | Apr 26, 2020 (154) |
70 | EVA | ss3831137828 | Apr 26, 2020 (154) |
71 | SGDP_PRJ | ss3869788832 | Apr 26, 2020 (154) |
72 | KRGDB | ss3917247080 | Apr 26, 2020 (154) |
73 | KOGIC | ss3963731522 | Apr 26, 2020 (154) |
74 | FSA-LAB | ss3984398589 | Apr 26, 2021 (155) |
75 | FSA-LAB | ss3984398590 | Apr 26, 2021 (155) |
76 | EVA | ss3984604752 | Apr 26, 2021 (155) |
77 | EVA | ss3986422255 | Apr 26, 2021 (155) |
78 | TOPMED | ss4783803395 | Apr 26, 2021 (155) |
79 | TOMMO_GENOMICS | ss5188404692 | Apr 26, 2021 (155) |
80 | 1000G_HIGH_COVERAGE | ss5276913845 | Oct 14, 2022 (156) |
81 | EVA | ss5380728135 | Oct 14, 2022 (156) |
82 | HUGCELL_USP | ss5473512747 | Oct 14, 2022 (156) |
83 | EVA | ss5509329601 | Oct 14, 2022 (156) |
84 | 1000G_HIGH_COVERAGE | ss5567136557 | Oct 14, 2022 (156) |
85 | EVA | ss5624177648 | Oct 14, 2022 (156) |
86 | SANFORD_IMAGENETICS | ss5645253566 | Oct 14, 2022 (156) |
87 | TOMMO_GENOMICS | ss5730241795 | Oct 14, 2022 (156) |
88 | EVA | ss5800146924 | Oct 14, 2022 (156) |
89 | YY_MCH | ss5809653797 | Oct 14, 2022 (156) |
90 | EVA | ss5830448245 | Oct 14, 2022 (156) |
91 | EVA | ss5848706248 | Oct 14, 2022 (156) |
92 | EVA | ss5856353435 | Oct 14, 2022 (156) |
93 | EVA | ss5888702602 | Oct 14, 2022 (156) |
94 | EVA | ss5974454402 | Oct 14, 2022 (156) |
95 | EVA | ss5980502732 | Oct 14, 2022 (156) |
96 | 1000Genomes | NC_000008.10 - 42608199 | Oct 12, 2018 (152) |
97 | 1000Genomes_30x | NC_000008.11 - 42753056 | Oct 14, 2022 (156) |
98 | The Avon Longitudinal Study of Parents and Children | NC_000008.10 - 42608199 | Oct 12, 2018 (152) |
99 | Genetic variation in the Estonian population | NC_000008.10 - 42608199 | Oct 12, 2018 (152) |
100 | The Danish reference pan genome | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
101 | gnomAD - Genomes | NC_000008.11 - 42753056 | Apr 26, 2021 (155) |
102 | Genome of the Netherlands Release 5 | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
103 | HapMap | NC_000008.11 - 42753056 | Apr 26, 2020 (154) |
104 | KOREAN population from KRGDB | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
105 | Korean Genome Project | NC_000008.11 - 42753056 | Apr 26, 2020 (154) |
106 | Medical Genome Project healthy controls from Spanish population | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
107 | Northern Sweden | NC_000008.10 - 42608199 | Jul 13, 2019 (153) |
108 | CNV burdens in cranial meningiomas | NC_000008.10 - 42608199 | Apr 26, 2021 (155) |
109 | Qatari | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
110 | SGDP_PRJ | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
111 | Siberian | NC_000008.10 - 42608199 | Apr 26, 2020 (154) |
112 | 8.3KJPN | NC_000008.10 - 42608199 | Apr 26, 2021 (155) |
113 | 14KJPN | NC_000008.11 - 42753056 | Oct 14, 2022 (156) |
114 | TopMed | NC_000008.11 - 42753056 | Apr 26, 2021 (155) |
115 | UK 10K study - Twins | NC_000008.10 - 42608199 | Oct 12, 2018 (152) |
116 | A Vietnamese Genetic Variation Database | NC_000008.10 - 42608199 | Jul 13, 2019 (153) |
117 | ALFA | NC_000008.11 - 42753056 | Apr 26, 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) |
---|---|
rs60563541 | Feb 26, 2009 (130) |
rs386443809 | Aug 21, 2014 (142) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss66454047, ss76246875, ss93876518, ss107989797, ss115334636, ss162360969, ss164533319, ss172962535, ss199092258, ss208678021, ss279786005, ss294264688, ss491277331, ss1595045069, ss1713033120 | NC_000008.9:42727355:G:C | NC_000008.11:42753055:G:C | (self) |
41702918, 23192832, 16501718, 8826016, 10357274, 24424474, 315739, 8896270, 154190, 10778739, 21805812, 5810177, 46373999, 23192832, 5166187, ss223674998, ss234416123, ss241276973, ss481351251, ss534249524, ss560711983, ss655143806, ss985447466, ss1075471477, ss1329585935, ss1431493797, ss1582661078, ss1620495127, ss1663489160, ss1711199979, ss1805508727, ss1928736809, ss1970968509, ss2025071341, ss2153293823, ss2627017709, ss2709059834, ss2865990605, ss2986081568, ss3003069067, ss3348155086, ss3630049892, ss3636907183, ss3646374988, ss3670763470, ss3735611405, ss3767922903, ss3786130778, ss3791389893, ss3796271183, ss3825740634, ss3831137828, ss3869788832, ss3917247080, ss3984398589, ss3984398590, ss3984604752, ss3986422255, ss5188404692, ss5380728135, ss5509329601, ss5624177648, ss5645253566, ss5800146924, ss5830448245, ss5848706248, ss5974454402, ss5980502732 | NC_000008.10:42608198:G:C | NC_000008.11:42753055:G:C | (self) |
54662492, 294048796, 3613839, 20109523, 64078899, 621180955, 11399929024, ss2302699010, ss3026325511, ss3721892042, ss3811083501, ss3963731522, ss4783803395, ss5276913845, ss5473512747, ss5567136557, ss5730241795, ss5809653797, ss5856353435, ss5888702602 | NC_000008.11:42753055:G:C | NC_000008.11:42753055:G:C | (self) |
ss52075603 | NT_007995.14:12928587:G:C | NC_000008.11:42753055:G:C | (self) |
ss11969812 | NT_008251.13:4655510:G:C | NC_000008.11:42753055:G:C | (self) |
ss14325832 | NT_008251.14:4670463:G:C | NC_000008.11:42753055:G:C | (self) |
ss3251153, ss23481809, ss65733728, ss69047893, ss69371815, ss76901684, ss81758553, ss99307537, ss143421744, ss160534215, ss161151705 | NT_167187.1:30466344:G:C | NC_000008.11:42753055:G:C | (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 |
---|---|---|---|---|
16400611 | Genomewide linkage scan of 409 European-ancestry and African American families with schizophrenia: suggestive evidence of linkage at 8p23.3-p21.2 and 11p13.1-q14.1 in the combined sample. | Suarez BK et al. | 2006 | American journal of human genetics |
17135278 | Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs. | Saccone SF et al. | 2007 | Human molecular genetics |
18165968 | Identification of pharmacogenetic markers in smoking cessation therapy. | Heitjan DF et al. | 2008 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
18571741 | Genetic variability in nicotinic acetylcholine receptors and nicotine addiction: converging evidence from human and animal research. | Portugal GS et al. | 2008 | Behavioural brain research |
18704094 | Genetic association of the CHRNA6 and CHRNB3 genes with tobacco dependence in a nationally representative sample. | Hoft NR et al. | 2009 | Neuropsychopharmacology |
18783506 | Association of a single nucleotide polymorphism in neuronal acetylcholine receptor subunit alpha 5 (CHRNA5) with smoking status and with 'pleasurable buzz' during early experimentation with smoking. | Sherva R et al. | 2008 | Addiction (Abingdon, England) |
19029397 | Nicotinic receptor gene variants influence susceptibility to heavy smoking. | Stevens VL et al. | 2008 | Cancer epidemiology, biomarkers & prevention |
19492010 | The genetic components of alcohol and nicotine co-addiction: from genes to behavior. | Schlaepfer IR et al. | 2008 | Current drug abuse reviews |
19500157 | SNPs in CHRNA6 and CHRNB3 are associated with alcohol consumption in a nationally representative sample. | Hoft NR et al. | 2009 | Genes, brain, and behavior |
20736995 | Resequencing of nicotinic acetylcholine receptor genes and association of common and rare variants with the Fagerström test for nicotine dependence. | Wessel J et al. | 2010 | Neuropsychopharmacology |
20854418 | CHRNB2 promoter region: association with subjective effects to nicotine and gene expression differences. | Hoft NR et al. | 2011 | Genes, brain, and behavior |
21606948 | Varenicline for smoking cessation: nausea severity and variation in nicotinic receptor genes. | Swan GE et al. | 2012 | The pharmacogenomics journal |
21808284 | Gender-stratified gene and gene-treatment interactions in smoking cessation. | Lee W et al. | 2012 | The pharmacogenomics journal |
22290489 | Pharmacogenetics of smoking cessation: role of nicotine target and metabolism genes. | Gold AB et al. | 2012 | Human genetics |
23943838 | Effect of neuronal nicotinic acetylcholine receptor genes (CHRN) on longitudinal cigarettes per day in adolescents and young adults. | Cannon DS et al. | 2014 | Nicotine & tobacco research |
24119711 | The association between CHRN genetic variants and dizziness at first inhalation of cigarette smoke. | Pedneault M et al. | 2014 | Addictive behaviors |
24253422 | Significant associations of CHRNA2 and CHRNA6 with nicotine dependence in European American and African American populations. | Wang S et al. | 2014 | Human genetics |
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 |
25642160 | Nicotinic receptor modulation to treat alcohol and drug dependence. | Rahman S et al. | 2014 | Frontiers in neuroscience |
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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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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.