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.
rs2279115
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr18:63319604 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- G>A / G>C / G>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.440421 (116575/264690, TOPMED)T=0.46808 (13023/27822, ALFA)T=0.36533 (6123/16760, 8.3KJPN) (+ 15 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- BCL2 : 5 Prime UTR Variant
- Publications
- 40 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 | 27822 | G=0.53192 | A=0.00000, T=0.46808 |
European | Sub | 24856 | G=0.49014 | A=0.00000, T=0.50986 |
African | Sub | 2122 | G=0.9406 | A=0.0000, T=0.0594 |
African Others | Sub | 94 | G=0.91 | A=0.00, T=0.09 |
African American | Sub | 2028 | G=0.9418 | A=0.0000, T=0.0582 |
Asian | Sub | 90 | G=0.80 | A=0.00, T=0.20 |
East Asian | Sub | 80 | G=0.78 | A=0.00, T=0.23 |
Other Asian | Sub | 10 | G=1.0 | A=0.0, T=0.0 |
Latin American 1 | Sub | 42 | G=1.00 | A=0.00, T=0.00 |
Latin American 2 | Sub | 74 | G=1.00 | A=0.00, T=0.00 |
South Asian | Sub | 42 | G=1.00 | A=0.00, T=0.00 |
Other | Sub | 596 | G=0.654 | A=0.000, T=0.346 |
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=0.559579 | T=0.440421 |
Allele Frequency Aggregator | Total | Global | 27822 | G=0.53192 | A=0.00000, T=0.46808 |
Allele Frequency Aggregator | European | Sub | 24856 | G=0.49014 | A=0.00000, T=0.50986 |
Allele Frequency Aggregator | African | Sub | 2122 | G=0.9406 | A=0.0000, T=0.0594 |
Allele Frequency Aggregator | Other | Sub | 596 | G=0.654 | A=0.000, T=0.346 |
Allele Frequency Aggregator | Asian | Sub | 90 | G=0.80 | A=0.00, T=0.20 |
Allele Frequency Aggregator | Latin American 2 | Sub | 74 | G=1.00 | A=0.00, T=0.00 |
Allele Frequency Aggregator | Latin American 1 | Sub | 42 | G=1.00 | A=0.00, T=0.00 |
Allele Frequency Aggregator | South Asian | Sub | 42 | G=1.00 | A=0.00, T=0.00 |
8.3KJPN | JAPANESE | Study-wide | 16760 | G=0.63467 | T=0.36533 |
1000Genomes_30x | Global | Study-wide | 6404 | G=0.6195 | T=0.3805 |
1000Genomes_30x | African | Sub | 1786 | G=0.8309 | T=0.1691 |
1000Genomes_30x | Europe | Sub | 1266 | G=0.4463 | T=0.5537 |
1000Genomes_30x | South Asian | Sub | 1202 | G=0.6880 | T=0.3120 |
1000Genomes_30x | East Asian | Sub | 1170 | G=0.5872 | T=0.4128 |
1000Genomes_30x | American | Sub | 980 | G=0.412 | T=0.588 |
1000Genomes | Global | Study-wide | 5008 | G=0.6146 | T=0.3854 |
1000Genomes | African | Sub | 1322 | G=0.8298 | T=0.1702 |
1000Genomes | East Asian | Sub | 1008 | G=0.5823 | T=0.4177 |
1000Genomes | Europe | Sub | 1006 | G=0.4334 | T=0.5666 |
1000Genomes | South Asian | Sub | 978 | G=0.688 | T=0.312 |
1000Genomes | American | Sub | 694 | G=0.411 | T=0.589 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.4071 | T=0.5929 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.4582 | T=0.5418 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.4563 | T=0.5437 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | G=0.5990 | T=0.4010 |
Korean Genome Project | KOREAN | Study-wide | 1832 | G=0.6261 | T=0.3739 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | G=0.447 | T=0.553 |
Northern Sweden | ACPOP | Study-wide | 600 | G=0.542 | T=0.458 |
SGDP_PRJ | Global | Study-wide | 366 | G=0.317 | T=0.683 |
Qatari | Global | Study-wide | 216 | G=0.569 | T=0.431 |
HapMap | Global | Study-wide | 208 | G=0.760 | T=0.240 |
HapMap | African | Sub | 120 | G=0.900 | T=0.100 |
HapMap | Asian | Sub | 88 | G=0.57 | T=0.43 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 208 | G=0.587 | T=0.413 |
Siberian | Global | Study-wide | 42 | G=0.26 | T=0.74 |
The Danish reference pan genome | Danish | Study-wide | 40 | G=0.40 | T=0.60 |
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 18 | NC_000018.10:g.63319604G>A |
GRCh38.p14 chr 18 | NC_000018.10:g.63319604G>C |
GRCh38.p14 chr 18 | NC_000018.10:g.63319604G>T |
GRCh37.p13 chr 18 | NC_000018.9:g.60986837G>A |
GRCh37.p13 chr 18 | NC_000018.9:g.60986837G>C |
GRCh37.p13 chr 18 | NC_000018.9:g.60986837G>T |
BCL2 RefSeqGene (LRG_1113) | NG_009361.1:g.4777C>T |
BCL2 RefSeqGene (LRG_1113) | NG_009361.1:g.4777C>G |
BCL2 RefSeqGene (LRG_1113) | NG_009361.1:g.4777C>A |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
BCL2 transcript variant alpha | NM_000633.3:c.-717= | N/A | 5 Prime UTR Variant |
BCL2 transcript variant beta | NM_000657.3:c.-717= | N/A | 5 Prime UTR Variant |
BCL2 transcript variant X1 | XM_047437733.1:c.-938= | N/A | 5 Prime UTR Variant |
BCL2 transcript variant X2 | XM_011526135.4:c.-938= | N/A | 5 Prime UTR Variant |
BCL2 transcript variant X3 | XM_017025917.3:c.-717= | N/A | 5 Prime UTR Variant |
BCL2 transcript variant X4 | XM_047437734.1:c.-938= | N/A | 5 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= | A | C | T |
---|---|---|---|---|
GRCh38.p14 chr 18 | NC_000018.10:g.63319604= | NC_000018.10:g.63319604G>A | NC_000018.10:g.63319604G>C | NC_000018.10:g.63319604G>T |
GRCh37.p13 chr 18 | NC_000018.9:g.60986837= | NC_000018.9:g.60986837G>A | NC_000018.9:g.60986837G>C | NC_000018.9:g.60986837G>T |
BCL2 RefSeqGene (LRG_1113) | NG_009361.1:g.4777= | NG_009361.1:g.4777C>T | NG_009361.1:g.4777C>G | NG_009361.1:g.4777C>A |
BCL2 transcript variant alpha | NM_000633.3:c.-717= | NM_000633.3:c.-717C>T | NM_000633.3:c.-717C>G | NM_000633.3:c.-717C>A |
BCL2 transcript variant beta | NM_000657.3:c.-717= | NM_000657.3:c.-717C>T | NM_000657.3:c.-717C>G | NM_000657.3:c.-717C>A |
BCL2 transcript variant X2 | XM_011526135.4:c.-938= | XM_011526135.4:c.-938C>T | XM_011526135.4:c.-938C>G | XM_011526135.4:c.-938C>A |
BCL2 transcript variant X2 | XM_011526135.3:c.-938= | XM_011526135.3:c.-938C>T | XM_011526135.3:c.-938C>G | XM_011526135.3:c.-938C>A |
BCL2 transcript variant X2 | XM_011526135.2:c.-938= | XM_011526135.2:c.-938C>T | XM_011526135.2:c.-938C>G | XM_011526135.2:c.-938C>A |
BCL2 transcript variant X4 | XM_011526135.1:c.-938= | XM_011526135.1:c.-938C>T | XM_011526135.1:c.-938C>G | XM_011526135.1:c.-938C>A |
BCL2 transcript variant X3 | XM_017025917.3:c.-717= | XM_017025917.3:c.-717C>T | XM_017025917.3:c.-717C>G | XM_017025917.3:c.-717C>A |
BCL2 transcript variant X3 | XM_017025917.2:c.-717= | XM_017025917.2:c.-717C>T | XM_017025917.2:c.-717C>G | XM_017025917.2:c.-717C>A |
BCL2 transcript variant X3 | XM_017025917.1:c.-717= | XM_017025917.1:c.-717C>T | XM_017025917.1:c.-717C>G | XM_017025917.1:c.-717C>A |
BCL2 transcript variant X1 | XM_047437733.1:c.-938= | XM_047437733.1:c.-938C>T | XM_047437733.1:c.-938C>G | XM_047437733.1:c.-938C>A |
BCL2 transcript variant X4 | XM_047437734.1:c.-938= | XM_047437734.1:c.-938C>T | XM_047437734.1:c.-938C>G | XM_047437734.1:c.-938C>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 | YUSUKE | ss3216615 | Sep 28, 2001 (100) |
2 | EGP_SNPS | ss6904557 | Mar 31, 2003 (113) |
3 | SSAHASNP | ss21471367 | Apr 05, 2004 (121) |
4 | ABI | ss44142015 | Mar 14, 2006 (126) |
5 | CGM_KYOTO | ss76869508 | Dec 06, 2007 (129) |
6 | SI_EXO | ss76894403 | Dec 06, 2007 (129) |
7 | BCMHGSC_JDW | ss90823644 | Mar 24, 2008 (129) |
8 | BGI | ss103403672 | Dec 01, 2009 (131) |
9 | 1000GENOMES | ss110694981 | Jan 25, 2009 (130) |
10 | ENSEMBL | ss137429571 | Dec 01, 2009 (131) |
11 | COMPLETE_GENOMICS | ss168385600 | Jul 04, 2010 (132) |
12 | BUSHMAN | ss203388312 | Jul 04, 2010 (132) |
13 | 1000GENOMES | ss227920630 | Jul 14, 2010 (132) |
14 | 1000GENOMES | ss237511604 | Jul 15, 2010 (132) |
15 | 1000GENOMES | ss243751036 | Jul 15, 2010 (132) |
16 | ILLUMINA | ss244289123 | Jul 04, 2010 (132) |
17 | BL | ss255731668 | May 09, 2011 (134) |
18 | GMI | ss283032340 | May 04, 2012 (137) |
19 | GMI | ss287302440 | Apr 25, 2013 (138) |
20 | PJP | ss292090070 | May 09, 2011 (134) |
21 | TISHKOFF | ss565712092 | Apr 25, 2013 (138) |
22 | SSMP | ss661549259 | Apr 25, 2013 (138) |
23 | EVA-GONL | ss993848089 | Aug 21, 2014 (142) |
24 | JMKIDD_LAB | ss1081589387 | Aug 21, 2014 (142) |
25 | 1000GENOMES | ss1361473805 | Aug 21, 2014 (142) |
26 | DDI | ss1428255182 | Apr 01, 2015 (144) |
27 | EVA_GENOME_DK | ss1578452678 | Apr 01, 2015 (144) |
28 | EVA_UK10K_ALSPAC | ss1637121641 | Apr 01, 2015 (144) |
29 | EVA_UK10K_TWINSUK | ss1680115674 | Apr 01, 2015 (144) |
30 | EVA_DECODE | ss1697910591 | Apr 01, 2015 (144) |
31 | HAMMER_LAB | ss1809101084 | Sep 08, 2015 (146) |
32 | WEILL_CORNELL_DGM | ss1937315180 | Feb 12, 2016 (147) |
33 | GENOMED | ss1968551094 | Jul 19, 2016 (147) |
34 | JJLAB | ss2029428976 | Sep 14, 2016 (149) |
35 | USC_VALOUEV | ss2157936915 | Dec 20, 2016 (150) |
36 | HUMAN_LONGEVITY | ss2222502598 | Dec 20, 2016 (150) |
37 | SYSTEMSBIOZJU | ss2629212625 | Nov 08, 2017 (151) |
38 | GRF | ss2702530170 | Nov 08, 2017 (151) |
39 | ILLUMINA | ss2710871057 | Nov 08, 2017 (151) |
40 | GNOMAD | ss2957947549 | Nov 08, 2017 (151) |
41 | SWEGEN | ss3016709265 | Nov 08, 2017 (151) |
42 | BIOINF_KMB_FNS_UNIBA | ss3028544212 | Nov 08, 2017 (151) |
43 | CSHL | ss3352076537 | Nov 08, 2017 (151) |
44 | URBANLAB | ss3650813908 | Oct 12, 2018 (152) |
45 | EGCUT_WGS | ss3683559563 | Jul 13, 2019 (153) |
46 | EVA_DECODE | ss3701882472 | Jul 13, 2019 (153) |
47 | ACPOP | ss3742643975 | Jul 13, 2019 (153) |
48 | EVA | ss3755531989 | Jul 13, 2019 (153) |
49 | PACBIO | ss3788402672 | Jul 13, 2019 (153) |
50 | PACBIO | ss3793329481 | Jul 13, 2019 (153) |
51 | PACBIO | ss3798215921 | Jul 13, 2019 (153) |
52 | KHV_HUMAN_GENOMES | ss3820785698 | Jul 13, 2019 (153) |
53 | EVA | ss3825917262 | Apr 27, 2020 (154) |
54 | EVA | ss3835227532 | Apr 27, 2020 (154) |
55 | EVA | ss3841232415 | Apr 27, 2020 (154) |
56 | EVA | ss3846735169 | Apr 27, 2020 (154) |
57 | SGDP_PRJ | ss3887251690 | Apr 27, 2020 (154) |
58 | KRGDB | ss3937148955 | Apr 27, 2020 (154) |
59 | KOGIC | ss3980364590 | Apr 27, 2020 (154) |
60 | TOPMED | ss5060647502 | Apr 26, 2021 (155) |
61 | TOMMO_GENOMICS | ss5225674160 | Apr 26, 2021 (155) |
62 | 1000G_HIGH_COVERAGE | ss5305682701 | Oct 16, 2022 (156) |
63 | EVA | ss5432139204 | Oct 16, 2022 (156) |
64 | HUGCELL_USP | ss5498414556 | Oct 16, 2022 (156) |
65 | 1000G_HIGH_COVERAGE | ss5610723553 | Oct 16, 2022 (156) |
66 | SANFORD_IMAGENETICS | ss5661517183 | Oct 16, 2022 (156) |
67 | TOMMO_GENOMICS | ss5783610439 | Oct 16, 2022 (156) |
68 | TOMMO_GENOMICS | ss5783610440 | Oct 16, 2022 (156) |
69 | YY_MCH | ss5817197271 | Oct 16, 2022 (156) |
70 | EVA | ss5827700828 | Oct 16, 2022 (156) |
71 | EVA | ss5852102467 | Oct 16, 2022 (156) |
72 | EVA | ss5874539100 | Oct 16, 2022 (156) |
73 | EVA | ss5952947178 | Oct 16, 2022 (156) |
74 | 1000Genomes | NC_000018.9 - 60986837 | Oct 12, 2018 (152) |
75 | 1000Genomes_30x | NC_000018.10 - 63319604 | Oct 16, 2022 (156) |
76 | The Avon Longitudinal Study of Parents and Children | NC_000018.9 - 60986837 | Oct 12, 2018 (152) |
77 | Genetic variation in the Estonian population | NC_000018.9 - 60986837 | Oct 12, 2018 (152) |
78 | The Danish reference pan genome | NC_000018.9 - 60986837 | Apr 27, 2020 (154) |
79 |
gnomAD - Genomes
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
80 |
gnomAD - Genomes
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
81 | Genome of the Netherlands Release 5 | NC_000018.9 - 60986837 | Apr 27, 2020 (154) |
82 | HapMap | NC_000018.10 - 63319604 | Apr 27, 2020 (154) |
83 | KOREAN population from KRGDB | NC_000018.9 - 60986837 | Apr 27, 2020 (154) |
84 | Korean Genome Project | NC_000018.10 - 63319604 | Apr 27, 2020 (154) |
85 | Northern Sweden | NC_000018.9 - 60986837 | Jul 13, 2019 (153) |
86 | Qatari | NC_000018.9 - 60986837 | Apr 27, 2020 (154) |
87 | SGDP_PRJ | NC_000018.9 - 60986837 | Apr 27, 2020 (154) |
88 | Siberian | NC_000018.9 - 60986837 | Apr 27, 2020 (154) |
89 | 8.3KJPN | NC_000018.9 - 60986837 | Apr 26, 2021 (155) |
90 |
14KJPN
Submission ignored due to conflicting rows: |
- | Oct 16, 2022 (156) |
91 |
14KJPN
Submission ignored due to conflicting rows: |
- | Oct 16, 2022 (156) |
92 | TopMed | NC_000018.10 - 63319604 | Apr 26, 2021 (155) |
93 | UK 10K study - Twins | NC_000018.9 - 60986837 | Oct 12, 2018 (152) |
94 | A Vietnamese Genetic Variation Database | NC_000018.9 - 60986837 | Jul 13, 2019 (153) |
95 | ALFA | NC_000018.10 - 63319604 | 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).
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss2957947549 | NC_000018.9:60986836:G:A | NC_000018.10:63319603:G:A | (self) |
14007540420 | NC_000018.10:63319603:G:A | NC_000018.10:63319603:G:A | (self) |
ss5783610440 | NC_000018.10:63319603:G:C | NC_000018.10:63319603:G:C | |
ss90823644, ss110694981, ss168385600, ss203388312, ss255731668, ss283032340, ss287302440, ss292090070, ss1697910591 | NC_000018.8:59137816:G:T | NC_000018.10:63319603:G:T | (self) |
74818885, 41469290, 29297811, 4642693, 18473223, 44326349, 15928840, 19357102, 39268670, 10453269, 83643467, 41469290, 9162560, ss227920630, ss237511604, ss243751036, ss565712092, ss661549259, ss993848089, ss1081589387, ss1361473805, ss1428255182, ss1578452678, ss1637121641, ss1680115674, ss1809101084, ss1937315180, ss1968551094, ss2029428976, ss2157936915, ss2629212625, ss2702530170, ss2710871057, ss2957947549, ss3016709265, ss3352076537, ss3683559563, ss3742643975, ss3755531989, ss3788402672, ss3793329481, ss3798215921, ss3825917262, ss3835227532, ss3841232415, ss3887251690, ss3937148955, ss5225674160, ss5432139204, ss5661517183, ss5827700828, ss5952947178 | NC_000018.9:60986836:G:T | NC_000018.10:63319603:G:T | (self) |
98249488, 1626115, 36742591, 276193165, 14007540420, ss2222502598, ss3028544212, ss3650813908, ss3701882472, ss3820785698, ss3846735169, ss3980364590, ss5060647502, ss5305682701, ss5498414556, ss5610723553, ss5783610439, ss5817197271, ss5852102467, ss5874539100 | NC_000018.10:63319603:G:T | NC_000018.10:63319603:G:T | (self) |
ss21471367, ss76894403 | NT_025028.13:8777682:G:T | NC_000018.10:63319603:G:T | (self) |
ss3216615, ss6904557, ss44142015, ss76869508, ss103403672, ss137429571, ss244289123 | NT_025028.14:8777700:G:T | NC_000018.10:63319603:G: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 |
---|---|---|---|---|
19237173 | Bcl2 -938C/A polymorphism carries increased risk of biochemical recurrence after radical prostatectomy. | Hirata H et al. | 2009 | The Journal of urology |
19276283 | Interaction between BCL2 and interleukin-10 gene polymorphisms alter outcomes of diffuse large B-cell lymphoma following rituximab plus CHOP chemotherapy. | Park YH et al. | 2009 | Clinical cancer research |
19390575 | Lung cancer susceptibility model based on age, family history and genetic variants. | Young RP et al. | 2009 | PloS one |
19520430 | BCL2 gene polymorphism could predict the treatment outcomes in acute myeloid leukemia patients. | Moon JH et al. | 2010 | Leukemia research |
19539330 | The bcl2 -938CC genotype has poor prognosis and lower survival in renal cancer. | Hirata H et al. | 2009 | The Journal of urology |
21949582 | A Polymorphism (rs1801018, Thr7Thr) of BCL2 is Associated with Papillary Thyroid Cancer in Korean Population. | Eun YG et al. | 2011 | Clinical and experimental otorhinolaryngology |
22546513 | Interaction among apoptosis-associated sequence variants and joint effects on aggressive prostate cancer. | Lavender NA et al. | 2012 | BMC medical genomics |
22568453 | Association of CASP3 polymorphism with hematologic toxicity in patients with advanced non-small-cell lung carcinoma treated with platinum-based chemotherapy. | Gu S et al. | 2012 | Cancer science |
23720679 | Prognostic assessment of apoptotic gene polymorphisms in non-small cell lung cancer in Chinese. | Cao S et al. | 2013 | Journal of biomedical research |
23973201 | Polymorphisms in DNA repair and apoptosis-related genes and clinical outcomes of patients with non-small cell lung cancer treated with first-line paclitaxel-cisplatin chemotherapy. | Lee SY et al. | 2013 | Lung cancer (Amsterdam, Netherlands) |
24321200 | Influence of BCL2 gene in major depression susceptibility and antidepressant treatment outcome. | Zhang C et al. | 2014 | Journal of affective disorders |
24701578 | The role of single nucleotide polymorphisms in predicting prostate cancer risk and therapeutic decision making. | Van den Broeck T et al. | 2014 | BioMed research international |
25257838 | CC genotype of anti-apoptotic gene BCL-2 (-938 C/A) is an independent prognostic marker of unfavorable clinical outcome in patients with non-small-cell lung cancer. | Javid J et al. | 2015 | Clinical & translational oncology |
25430556 | Role of Bcl-2 -938 C>A polymorphism in susceptibility and prognosis of cancer: a meta-analysis. | Zhang X et al. | 2014 | Scientific reports |
25991504 | BAX and BCL-2 polymorphisms, as predictors of proliferative vitreoretinopathy development in patients suffering retinal detachment: the Retina 4 project. | Pastor-Idoate S et al. | 2015 | Acta ophthalmologica |
26132559 | Functional BCL-2 regulatory genetic variants contribute to susceptibility of esophageal squamous cell carcinoma. | Pan W et al. | 2015 | Scientific reports |
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26344465 | BCL2 gene polymorphisms and splicing variants in chronic myeloid leukemia. | Guillem V et al. | 2015 | Leukemia research |
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27822420 | Genetic variants of BCL2 gene predict clinical outcomes of non-small-cell lung cancer patients treated with platinum-based chemotherapy in a Chinese population. | Ding X et al. | 2016 | American journal of cancer research |
27822610 | Polymorphisms in cytokine genes as prognostic markers in diffuse large B cell lymphoma patients treated with (R)-CHOP. | Liu D et al. | 2017 | Annals of hematology |
28396899 | BCL2 genotypes and prostate cancer survival. | Renner W et al. | 2017 | Strahlentherapie und Onkologie |
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30701356 | Genetic and epigenetic analysis of the BAX and BCL2 in the placenta of pregnant women complicated by preeclampsia. | Mohammadpour-Gharehbagh A et al. | 2019 | Apoptosis |
30937706 | The role of FAS, FAS-L, BAX, and BCL-2 gene polymorphisms in determining susceptibility to unexplained recurrent pregnancy loss. | Michita RT et al. | 2019 | Journal of assisted reproduction and genetics |
30959967 | Genetic Susceptibility in Head and Neck Squamous Cell Carcinoma in a Spanish Population. | Fernández-Mateos J et al. | 2019 | Cancers |
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35814404 | Single Nucleotide Polymorphisms of EXOC1, BCL2, CCAT2, and CARD8 Genes and Susceptibility to Cervical Cancer in the Northern Chinese Han Population. | Feng Y et al. | 2022 | Frontiers in oncology |
35988104 | The role of FASL, BCL-2 and BAX polymorphisms in brazilian patients with prostate cancer and benign prostatic hyperplasia. | da Silva Lawisch GK et al. | 2022 | Molecular biology reports |
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.