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.
rs8034191
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr15:78513681 (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
- T>C
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
C=0.327914 (114909/350424, ALFA)C=0.259538 (68697/264690, TOPMED)C=0.274726 (38488/140096, GnomAD) (+ 22 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- HYKK : Intron Variant
- Publications
- 124 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 | 350640 | T=0.672074 | C=0.327926 | 0.457147 | 0.112999 | 0.429854 | 32 |
European | Sub | 301574 | T=0.651346 | C=0.348654 | 0.425561 | 0.122869 | 0.451571 | 3 |
African | Sub | 11748 | T=0.82882 | C=0.17118 | 0.685564 | 0.02792 | 0.286517 | 0 |
African Others | Sub | 412 | T=0.874 | C=0.126 | 0.762136 | 0.014563 | 0.223301 | 0 |
African American | Sub | 11336 | T=0.82719 | C=0.17281 | 0.682781 | 0.028405 | 0.288814 | 0 |
Asian | Sub | 6936 | T=0.9704 | C=0.0296 | 0.942042 | 0.001153 | 0.056805 | 0 |
East Asian | Sub | 4966 | T=0.9750 | C=0.0250 | 0.951269 | 0.001208 | 0.047523 | 1 |
Other Asian | Sub | 1970 | T=0.9589 | C=0.0411 | 0.918782 | 0.001015 | 0.080203 | 0 |
Latin American 1 | Sub | 1196 | T=0.7333 | C=0.2667 | 0.558528 | 0.091973 | 0.349498 | 4 |
Latin American 2 | Sub | 7362 | T=0.8164 | C=0.1836 | 0.672643 | 0.039935 | 0.287422 | 4 |
South Asian | Sub | 5232 | T=0.7468 | C=0.2532 | 0.561162 | 0.067661 | 0.371177 | 1 |
Other | Sub | 16592 | T=0.72113 | C=0.27887 | 0.531099 | 0.088838 | 0.380063 | 14 |
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 | 350424 | T=0.672086 | C=0.327914 |
Allele Frequency Aggregator | European | Sub | 301394 | T=0.651350 | C=0.348650 |
Allele Frequency Aggregator | Other | Sub | 16570 | T=0.72142 | C=0.27858 |
Allele Frequency Aggregator | African | Sub | 11734 | T=0.82862 | C=0.17138 |
Allele Frequency Aggregator | Latin American 2 | Sub | 7362 | T=0.8164 | C=0.1836 |
Allele Frequency Aggregator | Asian | Sub | 6936 | T=0.9704 | C=0.0296 |
Allele Frequency Aggregator | South Asian | Sub | 5232 | T=0.7468 | C=0.2532 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1196 | T=0.7333 | C=0.2667 |
TopMed | Global | Study-wide | 264690 | T=0.740462 | C=0.259538 |
gnomAD - Genomes | Global | Study-wide | 140096 | T=0.725274 | C=0.274726 |
gnomAD - Genomes | European | Sub | 75850 | T=0.65139 | C=0.34861 |
gnomAD - Genomes | African | Sub | 42002 | T=0.83289 | C=0.16711 |
gnomAD - Genomes | American | Sub | 13642 | T=0.76448 | C=0.23552 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | T=0.6531 | C=0.3469 |
gnomAD - Genomes | East Asian | Sub | 3130 | T=0.9748 | C=0.0252 |
gnomAD - Genomes | Other | Sub | 2148 | T=0.7291 | C=0.2709 |
14KJPN | JAPANESE | Study-wide | 28258 | T=0.97887 | C=0.02113 |
8.3KJPN | JAPANESE | Study-wide | 16760 | T=0.97774 | C=0.02226 |
1000Genomes_30x | Global | Study-wide | 6404 | T=0.8098 | C=0.1902 |
1000Genomes_30x | African | Sub | 1786 | T=0.8544 | C=0.1456 |
1000Genomes_30x | Europe | Sub | 1266 | T=0.6137 | C=0.3863 |
1000Genomes_30x | South Asian | Sub | 1202 | T=0.8103 | C=0.1897 |
1000Genomes_30x | East Asian | Sub | 1170 | T=0.9692 | C=0.0308 |
1000Genomes_30x | American | Sub | 980 | T=0.791 | C=0.209 |
1000Genomes | Global | Study-wide | 5008 | T=0.8111 | C=0.1889 |
1000Genomes | African | Sub | 1322 | T=0.8472 | C=0.1528 |
1000Genomes | East Asian | Sub | 1008 | T=0.9712 | C=0.0288 |
1000Genomes | Europe | Sub | 1006 | T=0.6252 | C=0.3748 |
1000Genomes | South Asian | Sub | 978 | T=0.807 | C=0.193 |
1000Genomes | American | Sub | 694 | T=0.785 | C=0.215 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | T=0.6728 | C=0.3272 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | T=0.6728 | C=0.3272 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | T=0.6683 | C=0.3317 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2922 | T=0.9736 | C=0.0264 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | T=0.7682 | C=0.2318 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | T=0.947 | C=0.053 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | T=0.669 | C=0.331 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | T=0.606 | C=0.394 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | T=0.613 | C=0.388 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | T=0.822 | C=0.178 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | T=0.940 | C=0.060 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | T=0.96 | C=0.04 |
HapMap | Global | Study-wide | 1874 | T=0.8036 | C=0.1964 |
HapMap | American | Sub | 756 | T=0.766 | C=0.234 |
HapMap | African | Sub | 688 | T=0.840 | C=0.160 |
HapMap | Asian | Sub | 254 | T=0.988 | C=0.012 |
HapMap | Europe | Sub | 176 | T=0.557 | C=0.443 |
Korean Genome Project | KOREAN | Study-wide | 1832 | T=0.9765 | C=0.0235 |
Genome-wide autozygosity in Daghestan | Global | Study-wide | 1118 | T=0.6261 | C=0.3739 |
Genome-wide autozygosity in Daghestan | Daghestan | Sub | 620 | T=0.598 | C=0.402 |
Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | T=0.562 | C=0.438 |
Genome-wide autozygosity in Daghestan | Central Asia | Sub | 122 | T=0.762 | C=0.238 |
Genome-wide autozygosity in Daghestan | Europe | Sub | 106 | T=0.623 | C=0.377 |
Genome-wide autozygosity in Daghestan | South Asian | Sub | 90 | T=0.82 | C=0.18 |
Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | T=0.42 | C=0.58 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | T=0.659 | C=0.341 |
CNV burdens in cranial meningiomas | Global | Study-wide | 792 | T=0.967 | C=0.033 |
CNV burdens in cranial meningiomas | CRM | Sub | 792 | T=0.967 | C=0.033 |
Chileans | Chilean | Study-wide | 626 | T=0.776 | C=0.224 |
Northern Sweden | ACPOP | Study-wide | 600 | T=0.703 | C=0.297 |
Qatari | Global | Study-wide | 216 | T=0.606 | C=0.394 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 212 | T=0.986 | C=0.014 |
SGDP_PRJ | Global | Study-wide | 190 | T=0.411 | C=0.589 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 48 | T=0.46 | C=0.54 |
The Danish reference pan genome | Danish | Study-wide | 40 | T=0.53 | C=0.47 |
Siberian | Global | Study-wide | 28 | T=0.43 | C=0.57 |
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.78513681T>C |
GRCh37.p13 chr 15 | NC_000015.9:g.78806023T>C |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
HYKK transcript variant 1 |
NM_001013619.4:c.337+256T… NM_001013619.4:c.337+256T>C |
N/A | Intron Variant |
HYKK transcript variant 2 |
NM_001083612.2:c.337+256T… NM_001083612.2:c.337+256T>C |
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 | T= | C |
---|---|---|
GRCh38.p14 chr 15 | NC_000015.10:g.78513681= | NC_000015.10:g.78513681T>C |
GRCh37.p13 chr 15 | NC_000015.9:g.78806023= | NC_000015.9:g.78806023T>C |
HYKK transcript variant 1 | NM_001013619.2:c.337+256= | NM_001013619.2:c.337+256T>C |
HYKK transcript variant 1 | NM_001013619.4:c.337+256= | NM_001013619.4:c.337+256T>C |
HYKK transcript variant 2 | NM_001083612.1:c.337+256= | NM_001083612.1:c.337+256T>C |
HYKK transcript variant 2 | NM_001083612.2:c.337+256= | NM_001083612.2:c.337+256T>C |
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 | WI_SSAHASNP | ss12328368 | Jul 11, 2003 (116) |
2 | CSHL-HAPMAP | ss16670626 | Feb 27, 2004 (120) |
3 | CSHL-HAPMAP | ss17535942 | Feb 27, 2004 (120) |
4 | PERLEGEN | ss24449843 | Sep 20, 2004 (123) |
5 | ABI | ss43717139 | Mar 15, 2006 (126) |
6 | ILLUMINA | ss66693337 | Dec 01, 2006 (127) |
7 | ILLUMINA | ss67863014 | Dec 01, 2006 (127) |
8 | ILLUMINA | ss68011210 | Dec 01, 2006 (127) |
9 | ILLUMINA | ss70966095 | May 26, 2008 (130) |
10 | ILLUMINA | ss71575806 | May 18, 2007 (127) |
11 | ILLUMINA | ss75582188 | Dec 07, 2007 (129) |
12 | AFFY | ss76794887 | Dec 07, 2007 (129) |
13 | ILLUMINA | ss79278928 | Dec 16, 2007 (130) |
14 | KRIBB_YJKIM | ss84773536 | Dec 16, 2007 (130) |
15 | 1000GENOMES | ss108966187 | Jan 23, 2009 (130) |
16 | ILLUMINA | ss122887589 | Dec 01, 2009 (131) |
17 | ILLUMINA | ss154464474 | Dec 01, 2009 (131) |
18 | ILLUMINA | ss159639036 | Dec 01, 2009 (131) |
19 | ILLUMINA | ss160942174 | Dec 01, 2009 (131) |
20 | ENSEMBL | ss161735603 | Dec 01, 2009 (131) |
21 | ILLUMINA | ss172387242 | Jul 04, 2010 (132) |
22 | ILLUMINA | ss174682043 | Jul 04, 2010 (132) |
23 | 1000GENOMES | ss226987670 | Jul 14, 2010 (132) |
24 | 1000GENOMES | ss236845541 | Jul 15, 2010 (132) |
25 | 1000GENOMES | ss243220400 | Jul 15, 2010 (132) |
26 | BL | ss255132116 | May 09, 2011 (134) |
27 | GMI | ss286987001 | Apr 25, 2013 (138) |
28 | PJP | ss291757216 | May 09, 2011 (134) |
29 | PAGE_STUDY | ss469414515 | May 04, 2012 (137) |
30 | PAGE_STUDY | ss469415183 | May 04, 2012 (137) |
31 | PAGE_STUDY | ss469996369 | May 04, 2012 (137) |
32 | ILLUMINA | ss481759637 | May 04, 2012 (137) |
33 | ILLUMINA | ss481791733 | May 04, 2012 (137) |
34 | ILLUMINA | ss482755095 | Sep 08, 2015 (146) |
35 | ILLUMINA | ss485674591 | May 04, 2012 (137) |
36 | EXOME_CHIP | ss491497904 | May 04, 2012 (137) |
37 | ILLUMINA | ss537546739 | Sep 08, 2015 (146) |
38 | TISHKOFF | ss564593091 | Apr 25, 2013 (138) |
39 | SSMP | ss660330550 | Apr 25, 2013 (138) |
40 | ILLUMINA | ss778624131 | Aug 21, 2014 (142) |
41 | ILLUMINA | ss780686978 | Aug 21, 2014 (142) |
42 | ILLUMINA | ss783282863 | Aug 21, 2014 (142) |
43 | ILLUMINA | ss783360519 | Aug 21, 2014 (142) |
44 | ILLUMINA | ss784235798 | Aug 21, 2014 (142) |
45 | ILLUMINA | ss825609446 | Jul 19, 2016 (147) |
46 | ILLUMINA | ss832544024 | Apr 01, 2015 (144) |
47 | ILLUMINA | ss833149896 | Aug 21, 2014 (142) |
48 | ILLUMINA | ss833740724 | Aug 21, 2014 (142) |
49 | ILLUMINA | ss834081658 | Aug 21, 2014 (142) |
50 | EVA-GONL | ss991981297 | Aug 21, 2014 (142) |
51 | JMKIDD_LAB | ss1080266539 | Aug 21, 2014 (142) |
52 | 1000GENOMES | ss1354228962 | Aug 21, 2014 (142) |
53 | HAMMER_LAB | ss1397701857 | Sep 08, 2015 (146) |
54 | DDI | ss1427685545 | Apr 01, 2015 (144) |
55 | EVA_GENOME_DK | ss1577712955 | Apr 01, 2015 (144) |
56 | EVA_UK10K_ALSPAC | ss1633408360 | Apr 01, 2015 (144) |
57 | EVA_UK10K_TWINSUK | ss1676402393 | Apr 01, 2015 (144) |
58 | EVA_DECODE | ss1696007533 | Apr 01, 2015 (144) |
59 | EVA_SVP | ss1713504214 | Apr 01, 2015 (144) |
60 | ILLUMINA | ss1752172431 | Sep 08, 2015 (146) |
61 | ILLUMINA | ss1752172432 | Sep 08, 2015 (146) |
62 | HAMMER_LAB | ss1808287896 | Sep 08, 2015 (146) |
63 | ILLUMINA | ss1917899368 | Feb 12, 2016 (147) |
64 | WEILL_CORNELL_DGM | ss1935384548 | Feb 12, 2016 (147) |
65 | ILLUMINA | ss1946399390 | Feb 12, 2016 (147) |
66 | AMU | ss1966652406 | Feb 12, 2016 (147) |
67 | GENOMED | ss1968152521 | Jul 19, 2016 (147) |
68 | JJLAB | ss2028473828 | Sep 14, 2016 (149) |
69 | ILLUMINA | ss2094798440 | Dec 20, 2016 (150) |
70 | ILLUMINA | ss2095060244 | Dec 20, 2016 (150) |
71 | USC_VALOUEV | ss2156882324 | Dec 20, 2016 (150) |
72 | HUMAN_LONGEVITY | ss2208357320 | Dec 20, 2016 (150) |
73 | ILLUMINA | ss2633253889 | Nov 08, 2017 (151) |
74 | ILLUMINA | ss2633253890 | Nov 08, 2017 (151) |
75 | ILLUMINA | ss2635059725 | Nov 08, 2017 (151) |
76 | GRF | ss2701362792 | Nov 08, 2017 (151) |
77 | ILLUMINA | ss2710820972 | Nov 08, 2017 (151) |
78 | GNOMAD | ss2937103641 | Nov 08, 2017 (151) |
79 | AFFY | ss2985047703 | Nov 08, 2017 (151) |
80 | AFFY | ss2985682598 | Nov 08, 2017 (151) |
81 | SWEGEN | ss3013593066 | Nov 08, 2017 (151) |
82 | ILLUMINA | ss3021651761 | Nov 08, 2017 (151) |
83 | ILLUMINA | ss3021651762 | Nov 08, 2017 (151) |
84 | BIOINF_KMB_FNS_UNIBA | ss3028061163 | Nov 08, 2017 (151) |
85 | CSHL | ss3351199378 | Nov 08, 2017 (151) |
86 | ILLUMINA | ss3627406591 | Oct 12, 2018 (152) |
87 | ILLUMINA | ss3627406592 | Oct 12, 2018 (152) |
88 | ILLUMINA | ss3631245006 | Oct 12, 2018 (152) |
89 | ILLUMINA | ss3633103659 | Oct 12, 2018 (152) |
90 | ILLUMINA | ss3633808586 | Oct 12, 2018 (152) |
91 | ILLUMINA | ss3634616071 | Oct 12, 2018 (152) |
92 | ILLUMINA | ss3634616072 | Oct 12, 2018 (152) |
93 | ILLUMINA | ss3635497357 | Oct 12, 2018 (152) |
94 | ILLUMINA | ss3636306356 | Oct 12, 2018 (152) |
95 | ILLUMINA | ss3637248669 | Oct 12, 2018 (152) |
96 | ILLUMINA | ss3638097002 | Oct 12, 2018 (152) |
97 | ILLUMINA | ss3639061021 | Oct 12, 2018 (152) |
98 | ILLUMINA | ss3639536008 | Oct 12, 2018 (152) |
99 | ILLUMINA | ss3640323392 | Oct 12, 2018 (152) |
100 | ILLUMINA | ss3640323393 | Oct 12, 2018 (152) |
101 | ILLUMINA | ss3641063238 | Oct 12, 2018 (152) |
102 | ILLUMINA | ss3641358646 | Oct 12, 2018 (152) |
103 | ILLUMINA | ss3643080446 | Oct 12, 2018 (152) |
104 | ILLUMINA | ss3644652504 | Oct 12, 2018 (152) |
105 | ILLUMINA | ss3652053521 | Oct 12, 2018 (152) |
106 | ILLUMINA | ss3652053522 | Oct 12, 2018 (152) |
107 | ILLUMINA | ss3653819986 | Oct 12, 2018 (152) |
108 | EGCUT_WGS | ss3680734401 | Jul 13, 2019 (153) |
109 | EVA_DECODE | ss3698268610 | Jul 13, 2019 (153) |
110 | ILLUMINA | ss3725516414 | Jul 13, 2019 (153) |
111 | ACPOP | ss3741087076 | Jul 13, 2019 (153) |
112 | ILLUMINA | ss3744423374 | Jul 13, 2019 (153) |
113 | ILLUMINA | ss3744916593 | Jul 13, 2019 (153) |
114 | ILLUMINA | ss3744916594 | Jul 13, 2019 (153) |
115 | EVA | ss3753325223 | Jul 13, 2019 (153) |
116 | ILLUMINA | ss3772415140 | Jul 13, 2019 (153) |
117 | ILLUMINA | ss3772415141 | Jul 13, 2019 (153) |
118 | KHV_HUMAN_GENOMES | ss3818629189 | Jul 13, 2019 (153) |
119 | EVA | ss3834329012 | Apr 27, 2020 (154) |
120 | EVA | ss3840764075 | Apr 27, 2020 (154) |
121 | EVA | ss3846254058 | Apr 27, 2020 (154) |
122 | HGDP | ss3847529752 | Apr 27, 2020 (154) |
123 | SGDP_PRJ | ss3883313085 | Apr 27, 2020 (154) |
124 | KRGDB | ss3932542020 | Apr 27, 2020 (154) |
125 | KOGIC | ss3976540095 | Apr 27, 2020 (154) |
126 | EVA | ss3984704366 | Apr 26, 2021 (155) |
127 | EVA | ss3985728170 | Apr 26, 2021 (155) |
128 | EVA | ss4017711853 | Apr 26, 2021 (155) |
129 | TOPMED | ss4998134976 | Apr 26, 2021 (155) |
130 | TOMMO_GENOMICS | ss5217091869 | Apr 26, 2021 (155) |
131 | EVA | ss5237554245 | Apr 26, 2021 (155) |
132 | 1000G_HIGH_COVERAGE | ss5299111649 | Oct 16, 2022 (156) |
133 | EVA | ss5315798713 | Oct 16, 2022 (156) |
134 | HUGCELL_USP | ss5492769591 | Oct 16, 2022 (156) |
135 | 1000G_HIGH_COVERAGE | ss5600850142 | Oct 16, 2022 (156) |
136 | SANFORD_IMAGENETICS | ss5624365824 | Oct 16, 2022 (156) |
137 | SANFORD_IMAGENETICS | ss5657886281 | Oct 16, 2022 (156) |
138 | TOMMO_GENOMICS | ss5771167256 | Oct 16, 2022 (156) |
139 | EVA | ss5799943142 | Oct 16, 2022 (156) |
140 | YY_MCH | ss5815501618 | Oct 16, 2022 (156) |
141 | EVA | ss5828460794 | Oct 16, 2022 (156) |
142 | EVA | ss5847452316 | Oct 16, 2022 (156) |
143 | EVA | ss5847750759 | Oct 16, 2022 (156) |
144 | EVA | ss5876649548 | Oct 16, 2022 (156) |
145 | EVA | ss5949304375 | Oct 16, 2022 (156) |
146 | EVA | ss5979467668 | Oct 16, 2022 (156) |
147 | EVA | ss5980883315 | Oct 16, 2022 (156) |
148 | 1000Genomes | NC_000015.9 - 78806023 | Oct 12, 2018 (152) |
149 | 1000Genomes_30x | NC_000015.10 - 78513681 | Oct 16, 2022 (156) |
150 | The Avon Longitudinal Study of Parents and Children | NC_000015.9 - 78806023 | Oct 12, 2018 (152) |
151 | Chileans | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
152 | Genome-wide autozygosity in Daghestan | NC_000015.8 - 76593078 | Apr 27, 2020 (154) |
153 | Genetic variation in the Estonian population | NC_000015.9 - 78806023 | Oct 12, 2018 (152) |
154 | The Danish reference pan genome | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
155 | gnomAD - Genomes | NC_000015.10 - 78513681 | Apr 26, 2021 (155) |
156 | Genome of the Netherlands Release 5 | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
157 | HGDP-CEPH-db Supplement 1 | NC_000015.8 - 76593078 | Apr 27, 2020 (154) |
158 | HapMap | NC_000015.10 - 78513681 | Apr 27, 2020 (154) |
159 | KOREAN population from KRGDB | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
160 | Korean Genome Project | NC_000015.10 - 78513681 | Apr 27, 2020 (154) |
161 | Northern Sweden | NC_000015.9 - 78806023 | Jul 13, 2019 (153) |
162 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000015.9 - 78806023 | Apr 26, 2021 (155) |
163 | CNV burdens in cranial meningiomas | NC_000015.9 - 78806023 | Apr 26, 2021 (155) |
164 | Qatari | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
165 | SGDP_PRJ | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
166 | Siberian | NC_000015.9 - 78806023 | Apr 27, 2020 (154) |
167 | 8.3KJPN | NC_000015.9 - 78806023 | Apr 26, 2021 (155) |
168 | 14KJPN | NC_000015.10 - 78513681 | Oct 16, 2022 (156) |
169 | TopMed | NC_000015.10 - 78513681 | Apr 26, 2021 (155) |
170 | UK 10K study - Twins | NC_000015.9 - 78806023 | Oct 12, 2018 (152) |
171 | A Vietnamese Genetic Variation Database | NC_000015.9 - 78806023 | Jul 13, 2019 (153) |
172 | ALFA | NC_000015.10 - 78513681 | 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) |
---|---|
rs17485211 | Oct 08, 2004 (123) |
rs61065212 | May 26, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
171981, 207644, ss108966187, ss160942174, ss255132116, ss286987001, ss291757216, ss481759637, ss825609446, ss1397701857, ss1696007533, ss1713504214, ss2635059725, ss3639061021, ss3639536008, ss3643080446, ss3847529752 | NC_000015.8:76593077:T:C | NC_000015.10:78513680:T:C | (self) |
67328171, 37388436, 156906, 26472649, 3933546, 16683750, 39719414, 14371941, 954097, 253891, 17426478, 35330065, 9398678, 75061176, 37388436, 8311811, ss226987670, ss236845541, ss243220400, ss481791733, ss482755095, ss485674591, ss491497904, ss537546739, ss564593091, ss660330550, ss778624131, ss780686978, ss783282863, ss783360519, ss784235798, ss832544024, ss833149896, ss833740724, ss834081658, ss991981297, ss1080266539, ss1354228962, ss1427685545, ss1577712955, ss1633408360, ss1676402393, ss1752172431, ss1752172432, ss1808287896, ss1917899368, ss1935384548, ss1946399390, ss1966652406, ss1968152521, ss2028473828, ss2094798440, ss2095060244, ss2156882324, ss2633253889, ss2633253890, ss2701362792, ss2710820972, ss2937103641, ss2985047703, ss2985682598, ss3013593066, ss3021651761, ss3021651762, ss3351199378, ss3627406591, ss3627406592, ss3631245006, ss3633103659, ss3633808586, ss3634616071, ss3634616072, ss3635497357, ss3636306356, ss3637248669, ss3638097002, ss3640323392, ss3640323393, ss3641063238, ss3641358646, ss3644652504, ss3652053521, ss3652053522, ss3653819986, ss3680734401, ss3741087076, ss3744423374, ss3744916593, ss3744916594, ss3753325223, ss3772415140, ss3772415141, ss3834329012, ss3840764075, ss3883313085, ss3932542020, ss3984704366, ss3985728170, ss4017711853, ss5217091869, ss5237554245, ss5315798713, ss5624365824, ss5657886281, ss5799943142, ss5828460794, ss5847452316, ss5847750759, ss5949304375, ss5979467668, ss5980883315 | NC_000015.9:78806022:T:C | NC_000015.10:78513680:T:C | (self) |
88376077, 474693665, 1299108, 32918096, 105004360, 213680636, 7797750026, ss2208357320, ss3028061163, ss3698268610, ss3725516414, ss3818629189, ss3846254058, ss3976540095, ss4998134976, ss5299111649, ss5492769591, ss5600850142, ss5771167256, ss5815501618, ss5876649548 | NC_000015.10:78513680:T:C | NC_000015.10:78513680:T:C | (self) |
ss12328368 | NT_010194.15:49592422:T:C | NC_000015.10:78513680:T:C | (self) |
ss16670626, ss17535942 | NT_010194.16:49596342:T:C | NC_000015.10:78513680:T:C | (self) |
ss24449843, ss43717139, ss66693337, ss67863014, ss68011210, ss70966095, ss71575806, ss75582188, ss76794887, ss79278928, ss84773536, ss122887589, ss154464474, ss159639036, ss161735603, ss172387242, ss174682043, ss469414515, ss469415183, ss469996369 | NT_010194.17:49596579:T:C | NC_000015.10:78513680:T: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 |
---|---|---|---|---|
18385676 | Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1. | Amos CI et al. | 2008 | Nature genetics |
18759969 | In search of causal variants: refining disease association signals using cross-population contrasts. | Saccone NL et al. | 2008 | BMC genetics |
18780872 | Familial aggregation of common sequence variants on 15q24-25.1 in lung cancer. | Liu P et al. | 2008 | Journal of the National Cancer Institute |
18957677 | The CHRNA5-A3 region on chromosome 15q24-25.1 is a risk factor both for nicotine dependence and for lung cancer. | Spitz MR et al. | 2008 | Journal of the National Cancer Institute |
19029397 | Nicotinic receptor gene variants influence susceptibility to heavy smoking. | Stevens VL et al. | 2008 | Cancer epidemiology, biomarkers & prevention |
19064933 | Chromosome 15q25.1 genetic markers associated with level of response to alcohol in humans. | Joslyn G et al. | 2008 | Proceedings of the National Academy of Sciences of the United States of America |
19247474 | Genome-wide and candidate gene association study of cigarette smoking behaviors. | Caporaso N et al. | 2009 | PloS one |
19259974 | Multiple distinct risk loci for nicotine dependence identified by dense coverage of the complete family of nicotinic receptor subunit (CHRN) genes. | Saccone NL et al. | 2009 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
19300482 | A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci. | Pillai SG et al. | 2009 | PLoS genetics |
19300500 | A genome-wide association study of pulmonary function measures in the Framingham Heart Study. | Wilk JB et al. | 2009 | PLoS genetics |
19465454 | The TERT-CLPTM1L lung cancer susceptibility variant associates with higher DNA adduct formation in the lung. | Zienolddiny S et al. | 2009 | Carcinogenesis |
19474294 | Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. | Hindorff LA et al. | 2009 | Proceedings of the National Academy of Sciences of the United States of America |
19639606 | Correcting "winner's curse" in odds ratios from genomewide association findings for major complex human diseases. | Zhong H et al. | 2010 | Genetic epidemiology |
19641473 | Racial differences in the association between SNPs on 15q25.1, smoking behavior, and risk of non-small cell lung cancer. | Schwartz AG et al. | 2009 | Journal of thoracic oncology |
19654303 | Deciphering the impact of common genetic variation on lung cancer risk: a genome-wide association study. | Broderick P et al. | 2009 | Cancer research |
19706762 | The CHRNA5-CHRNA3-CHRNB4 nicotinic receptor subunit gene cluster affects risk for nicotine dependence in African-Americans and in European-Americans. | Saccone NL et al. | 2009 | Cancer research |
19733931 | Blood-based CHRNA3 single nucleotide polymorphism and outcome in advanced non-small-cell lung cancer patients. | Carcereny E et al. | 2010 | Lung cancer (Amsterdam, Netherlands) |
19741265 | Genetics and genomics of chronic obstructive pulmonary disease. | Silverman EK et al. | 2009 | Proceedings of the American Thoracic Society |
19776245 | Association between a 15q25 gene variant, smoking quantity and tobacco-related cancers among 17 000 individuals. | Lips EH et al. | 2010 | International journal of epidemiology |
19789337 | Haplotype and cell proliferation analyses of candidate lung cancer susceptibility genes on chromosome 15q24-25.1. | Liu Y et al. | 2009 | Cancer research |
19800047 | Integration of genomic and genetic approaches implicates IREB2 as a COPD susceptibility gene. | DeMeo DL et al. | 2009 | American journal of human genetics |
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 |
19903803 | Re: Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. | Spitz MR et al. | 2009 | Journal of the National Cancer Institute |
19951401 | Chronic obstructive pulmonary disease: towards pharmacogenetics. | Wood AM et al. | 2009 | Genome medicine |
20010835 | Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. | Hancock DB et al. | 2010 | Nature genetics |
20056643 | A rigorous and comprehensive validation: common genetic variations and lung cancer. | Yang P et al. | 2010 | Cancer epidemiology, biomarkers & prevention |
20068085 | Analysis of genetic variants in never-smokers with lung cancer facilitated by an Internet-based blood collection protocol: a preliminary report. | Girard N et al. | 2010 | Clinical cancer research |
20142248 | Cumulative effect of multiple loci on genetic susceptibility to familial lung cancer. | Liu P et al. | 2010 | Cancer epidemiology, biomarkers & prevention |
20348396 | A general framework for studying genetic effects and gene-environment interactions with missing data. | Hu YJ et al. | 2010 | Biostatistics (Oxford, England) |
20395203 | A second genetic variant on chromosome 15q24-25.1 associates with lung cancer. | Liu P et al. | 2010 | Cancer research |
20505153 | A compendium of genome-wide associations for cancer: critical synopsis and reappraisal. | Ioannidis JP et al. | 2010 | Journal of the National Cancer Institute |
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 |
20656943 | Loci identified by genome-wide association studies influence different disease-related phenotypes in chronic obstructive pulmonary disease. | Pillai SG et al. | 2010 | American journal of respiratory and critical care medicine |
20833654 | Mapping of numerous disease-associated expression polymorphisms in primary peripheral blood CD4+ lymphocytes. | Murphy A et al. | 2010 | Human molecular genetics |
21081471 | Genetic variations on chromosomes 5p15 and 15q25 and bladder cancer risk: findings from the Los Angeles-Shanghai bladder case-control study. | Gago-Dominguez M et al. | 2011 | Carcinogenesis |
21168125 | TTC12-ANKK1-DRD2 and CHRNA5-CHRNA3-CHRNB4 influence different pathways leading to smoking behavior from adolescence to mid-adulthood. | Ducci F et al. | 2011 | Biological psychiatry |
21219822 | [Recent progress in genetic variants associated with cancer and their implications in diagnostics development]. | Cho WC et al. | 2011 | Zhongguo fei ai za zhi = Chinese journal of lung cancer |
21228559 | An exploratory study on the CHRNA3-CHRNA5-CHRNB4 cluster, smoking, and Parkinson's disease. | Gao J et al. | 2011 | Neuro-degenerative diseases |
21229299 | Chromosome 15q24-25.1 variants, diet, and lung cancer susceptibility in cigarette smokers. | Sakoda LC et al. | 2011 | Cancer causes & control |
21232152 | Epidemiology, radiology, and genetics of nicotine dependence in COPD. | Kim DK et al. | 2011 | Respiratory research |
21320324 | The role of IREB2 and transforming growth factor beta-1 genetic variants in COPD: a replication case-control study. | Chappell SL et al. | 2011 | BMC medical genetics |
21500120 | Lung cancer in never smokers. | Yang P et al. | 2011 | Seminars in respiratory and critical care medicine |
21533024 | Genome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci. | Paré G et al. | 2011 | PLoS genetics |
21559498 | Chromosome 15q25 (CHRNA3-CHRNA5) variation impacts indirectly on lung cancer risk. | Wang Y et al. | 2011 | PloS one |
21685187 | Genome-wide association study of smoking behaviours in patients with COPD. | Siedlinski M et al. | 2011 | Thorax |
21697764 | Susceptibility locus for lung cancer at 15q25.1 is not associated with risk of pancreatic cancer. | Chen J et al. | 2011 | Pancreas |
21750227 | Single-nucleotide polymorphisms (5p15.33, 15q25.1, 6p22.1, 6q27 and 7p15.3) and lung cancer survival in the European Prospective Investigation into Cancer and Nutrition (EPIC). | Xun WW et al. | 2011 | Mutagenesis |
21810735 | Single nucleotide polymorphisms in CHRNA5 rs16969968, CHRNA3 rs578776, and LOC123688 rs8034191 are associated with heaviness of smoking in women in Northeastern Ontario, Canada. | Conlon MS et al. | 2011 | Nicotine & tobacco research |
21921092 | Identification of FGF7 as a novel susceptibility locus for chronic obstructive pulmonary disease. | Brehm JM et al. | 2011 | Thorax |
21929786 | Significance testing in ridge regression for genetic data. | Cule E et al. | 2011 | BMC bioinformatics |
21949713 | Genetics of sputum gene expression in chronic obstructive pulmonary disease. | Qiu W et al. | 2011 | PloS one |
21966413 | Smoking related cancers and loci at chromosomes 15q25, 5p15, 6p22.1 and 6p21.33 in the Polish population. | Jaworowska E et al. | 2011 | PloS one |
22017462 | Alpha-nicotinic acetylcholine receptor and tobacco smoke exposure: effects on bronchial hyperresponsiveness in children. | Torjussen TM et al. | 2012 | Pediatric allergy and immunology |
22028403 | A case-control study of a sex-specific association between a 15q25 variant and lung cancer risk. | Wei C et al. | 2011 | Cancer epidemiology, biomarkers & prevention |
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 |
22080838 | A genome-wide association study of COPD identifies a susceptibility locus on chromosome 19q13. | Cho MH et al. | 2012 | Human molecular genetics |
22176972 | Nicotinic acetylcholine receptor variants associated with susceptibility to chronic obstructive pulmonary disease: a meta-analysis. | Zhang J et al. | 2011 | Respiratory research |
22276117 | The association between ATM IVS 22-77 T>C and cancer risk: a meta-analysis. | Zhao L et al. | 2012 | PloS one |
22356581 | Association of IREB2 and CHRNA3 polymorphisms with airflow obstruction in severe alpha-1 antitrypsin deficiency. | Kim WJ et al. | 2012 | Respiratory research |
22438921 | Nicotinic acetylcholine receptor variants are related to smoking habits, but not directly to COPD. | Budulac SE et al. | 2012 | PloS one |
22461431 | CHRNA3/5, IREB2, and ADCY2 are associated with severe chronic obstructive pulmonary disease in Poland. | Hardin M et al. | 2012 | American journal of respiratory cell and molecular biology |
22701590 | Strong association between two polymorphisms on 15q25.1 and lung cancer risk: a meta-analysis. | Gu M et al. | 2012 | PloS one |
22793939 | Genes and chronic obstructive pulmonary disease. | Foreman MG et al. | 2012 | The Medical clinics of North America |
22854838 | The influence of race and ethnicity on the biology of cancer. | Henderson BE et al. | 2012 | Nature reviews. Cancer |
22889990 | Natural and orthogonal interaction framework for modeling gene-environment interactions with application to lung cancer. | Ma J et al. | 2012 | Human heredity |
22899653 | Influence of common genetic variation on lung cancer risk: meta-analysis of 14 900 cases and 29 485 controls. | Timofeeva MN et al. | 2012 | Human molecular genetics |
22914670 | Association of IREB2 and CHRNA3/5 polymorphisms with COPD and COPD-related phenotypes in a Chinese Han population. | Zhou H et al. | 2012 | Journal of human genetics |
22945651 | Epigenetic screen identifies genotype-specific promoter DNA methylation and oncogenic potential of CHRNB4. | Scherf DB et al. | 2013 | Oncogene |
23029550 | Associations between variation in CHRNA5-CHRNA3-CHRNB4, body mass index and blood pressure in the Northern Finland Birth Cohort 1966. | Kaakinen M et al. | 2012 | PloS one |
23055711 | Updates on the COPD gene list. | Bossé Y et al. | 2012 | International journal of chronic obstructive pulmonary disease |
23056235 | Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese. | Yang L et al. | 2012 | PloS one |
23090857 | Emerging genetics of COPD. | Berndt A et al. | 2012 | EMBO molecular medicine |
23221128 | Fine-mapping of the 5p15.33, 6p22.1-p21.31, and 15q25.1 regions identifies functional and histology-specific lung cancer susceptibility loci in African-Americans. | Walsh KM et al. | 2013 | Cancer epidemiology, biomarkers & prevention |
23255854 | A functional polymorphism in the CHRNA3 gene and risk of chronic obstructive pulmonary disease in a Korean population. | Lee JY et al. | 2012 | Journal of Korean medical science |
23299987 | Dissecting direct and indirect genetic effects on chronic obstructive pulmonary disease (COPD) susceptibility. | Siedlinski M et al. | 2013 | Human genetics |
23349013 | Genetic susceptibility to lung cancer--light at the end of the tunnel? | Marshall AL et al. | 2013 | Carcinogenesis |
23349703 | Variants in the 15q24/25 locus associate with lung function decline in active smokers. | Mohamed Hoesein FA et al. | 2013 | PloS one |
23408875 | Getting more out of biomedical documents with GATE's full lifecycle open source text analytics. | Cunningham H et al. | 2013 | PLoS computational biology |
23691092 | Associations of prenatal nicotine exposure and the dopamine related genes ANKK1 and DRD2 to verbal language. | Eicher JD et al. | 2013 | PloS one |
23820649 | Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease. | Cooper DN et al. | 2013 | Human genetics |
23844051 | Association of CHRNA5-A3-B4 variation with esophageal squamous cell carcinoma risk and smoking behaviors in a Chinese population. | Wang Y et al. | 2013 | PloS one |
24065931 | The CHRNA3 rs578776 Variant is Associated with an Intrinsic Reward Sensitivity Deficit in Smokers. | Robinson JD et al. | 2013 | Frontiers in psychiatry |
24254305 | Quantitative assessment of the influence of common variations (rs8034191 and rs1051730) at 15q25 and lung cancer risk. | Hu B et al. | 2014 | Tumour biology |
24563194 | Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema. | Castaldi PJ et al. | 2014 | Thorax |
24588897 | CHRNA5 and CHRNA3 variants and level of neuroticism in young adult Mexican American men and women. | Criado JR et al. | 2014 | Twin research and human genetics |
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 |
25051068 | Four SNPs in the CHRNA3/5 alpha-neuronal nicotinic acetylcholine receptor subunit locus are associated with COPD risk based on meta-analyses. | Cui K et al. | 2014 | PloS one |
25074529 | Genetic association between AGPHD1 variant and lung cancer risk. | Wang H et al. | 2014 | Cell biochemistry and biophysics |
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 |
25288178 | The association between the rs6495309 polymorphism in CHRNA3 gene and lung cancer risk in Chinese: a meta-analysis. | Xiao M et al. | 2014 | Scientific reports |
25302169 | Acetylcholine receptor pathway in lung cancer: New twists to an old story. | Niu XM et al. | 2014 | World journal of clinical oncology |
25329654 | Role of a genetic variant on the 15q25.1 lung cancer susceptibility locus in smoking-associated nasopharyngeal carcinoma. | Ji X et al. | 2014 | PloS one |
25551457 | No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects. | Baumert J et al. | 2014 | PloS one |
25642160 | Nicotinic receptor modulation to treat alcohol and drug dependence. | Rahman S et al. | 2014 | Frontiers in neuroscience |
25778907 | The DYX2 locus and neurochemical signaling genes contribute to speech sound disorder and related neurocognitive domains. | Eicher JD et al. | 2015 | Genes, brain, and behavior |
25874685 | CHRNA3 rs6495308 genotype as an effect modifier of the association between daily cigarette consumption and hypertension in Chinese male smokers. | Wu XY et al. | 2015 | International journal of environmental research and public health |
26044620 | Gene network analysis shows immune-signaling and ERK1/2 as novel genetic markers for multiple addiction phenotypes: alcohol, smoking and opioid addiction. | Reyes-Gibby CC et al. | 2015 | BMC systems biology |
26187382 | Jackknife-based gene-gene interactiontests for untyped SNPs. | Song M et al. | 2015 | BMC genetics |
26352532 | Lung Cancer Risk Prediction Using Common SNPs Located in GWAS-Identified Susceptibility Regions. | Weissfeld JL et al. | 2015 | Journal of thoracic oncology |
26695521 | Mendelian Randomization - the Key to Understanding Aspects of Parkinson's Disease Causation? | Noyce AJ et al. | 2016 | Movement disorders |
26831765 | Association between two CHRNA3 variants and susceptibility of lung cancer: a meta-analysis. | Qu X et al. | 2016 | Scientific reports |
26917578 | Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12. | Jackson VE et al. | 2016 | Thorax |
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 |
26981122 | The Oncogenic Functions of Nicotinic Acetylcholine Receptors. | Zhao Y et al. | 2016 | Journal of oncology |
27050379 | Genetic variants of CHRNA5-A3 and CHRNB3-A6 predict survival of patients with advanced non-small cell lung cancer. | Wang Y et al. | 2016 | Oncotarget |
27079684 | Genome-wide association studies and epigenome-wide association studies go together in cancer control. | Verma M et al. | 2016 | Future oncology (London, England) |
27127891 | Association Between CHRNA3 and CHRNA5 Nicotine Receptor Subunit Gene Variants and Nicotine Dependence in an Isolated Populationof Kashubians in Poland. | Kita-Milczarska K et al. | 2016 | Medical science monitor |
27230571 | Different dietary patterns and reduction of lung cancer risk: A large case-control study in the U.S. | Tu H et al. | 2016 | Scientific reports |
27294413 | Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016. | Srivastava AK et al. | 2016 | Human genomics |
27330244 | Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms. | Papathomas M et al. | 2016 | Journal of statistical planning and inference |
27424552 | Genomics era and complex disorders: Implications of GWAS with special reference to coronary artery disease, type 2 diabetes mellitus, and cancers. | Pranavchand R et al. | 2016 | Journal of postgraduate medicine |
27694844 | An Adaptive Fisher's Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies. | Liang X et al. | 2016 | Scientific reports |
27805284 | Susceptibility loci of CNOT6 in the general mRNA degradation pathway and lung cancer risk-A re-analysis of eight GWASs. | Zhou F et al. | 2017 | Molecular carcinogenesis |
29110844 | Genetic polymorphisms and lung cancer risk: Evidence from meta-analyses and genome-wide association studies. | Liu C et al. | 2017 | Lung cancer (Amsterdam, Netherlands) |
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 |
29758381 | Exploring the role of low-frequency and rare exonic variants in alcohol and tobacco use. | Marees AT et al. | 2018 | Drug and alcohol dependence |
33578531 | The relationship between CHRNA5/A3/B4 gene cluster polymorphisms and lung cancer risk: An updated meta-analysis and systematic review. | Yi X et al. | 2021 | Medicine |
34319543 | Genetic analysis of colorectal carcinoma using high throughput single nucleotide polymorphism genotyping technique within the population of Jammu and Kashmir. | Sharma B et al. | 2021 | Molecular biology reports |
34540891 | Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk. | Li X et al. | 2021 | Frontiers in molecular biosciences |
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.