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.
rs2981582
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr10:121592803 (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
- A>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
A=0.396044 (114414/288892, ALFA)A=0.418762 (110842/264690, TOPMED)A=0.419230 (58636/139866, GnomAD) (+ 21 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- FGFR2 : Intron Variant
- Publications
- 229 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 | 288986 | A=0.396047 | G=0.603953 |
European | Sub | 252928 | A=0.393515 | G=0.606485 |
African | Sub | 11332 | A=0.48112 | G=0.51888 |
African Others | Sub | 392 | A=0.551 | G=0.449 |
African American | Sub | 10940 | A=0.47861 | G=0.52139 |
Asian | Sub | 3944 | A=0.2898 | G=0.7102 |
East Asian | Sub | 3156 | A=0.2909 | G=0.7091 |
Other Asian | Sub | 788 | A=0.286 | G=0.714 |
Latin American 1 | Sub | 1126 | A=0.3872 | G=0.6128 |
Latin American 2 | Sub | 4740 | A=0.4006 | G=0.5994 |
South Asian | Sub | 380 | A=0.350 | G=0.650 |
Other | Sub | 14536 | A=0.40300 | G=0.59700 |
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 | 288892 | A=0.396044 | G=0.603956 |
Allele Frequency Aggregator | European | Sub | 252852 | A=0.393515 | G=0.606485 |
Allele Frequency Aggregator | Other | Sub | 14518 | A=0.40295 | G=0.59705 |
Allele Frequency Aggregator | African | Sub | 11332 | A=0.48112 | G=0.51888 |
Allele Frequency Aggregator | Latin American 2 | Sub | 4740 | A=0.4006 | G=0.5994 |
Allele Frequency Aggregator | Asian | Sub | 3944 | A=0.2898 | G=0.7102 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1126 | A=0.3872 | G=0.6128 |
Allele Frequency Aggregator | South Asian | Sub | 380 | A=0.350 | G=0.650 |
TopMed | Global | Study-wide | 264690 | A=0.418762 | G=0.581238 |
gnomAD - Genomes | Global | Study-wide | 139866 | A=0.419230 | G=0.580770 |
gnomAD - Genomes | European | Sub | 75772 | A=0.39219 | G=0.60781 |
gnomAD - Genomes | African | Sub | 41872 | A=0.47927 | G=0.52073 |
gnomAD - Genomes | American | Sub | 13622 | A=0.40611 | G=0.59389 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | A=0.4233 | G=0.5767 |
gnomAD - Genomes | East Asian | Sub | 3128 | A=0.3194 | G=0.6806 |
gnomAD - Genomes | Other | Sub | 2148 | A=0.4250 | G=0.5750 |
The PAGE Study | Global | Study-wide | 78682 | A=0.40912 | G=0.59088 |
The PAGE Study | AfricanAmerican | Sub | 32506 | A=0.47065 | G=0.52935 |
The PAGE Study | Mexican | Sub | 10806 | A=0.38220 | G=0.61780 |
The PAGE Study | Asian | Sub | 8318 | A=0.2711 | G=0.7289 |
The PAGE Study | PuertoRican | Sub | 7916 | A=0.4377 | G=0.5623 |
The PAGE Study | NativeHawaiian | Sub | 4534 | A=0.2417 | G=0.7583 |
The PAGE Study | Cuban | Sub | 4230 | A=0.3931 | G=0.6069 |
The PAGE Study | Dominican | Sub | 3828 | A=0.4410 | G=0.5590 |
The PAGE Study | CentralAmerican | Sub | 2450 | A=0.4098 | G=0.5902 |
The PAGE Study | SouthAmerican | Sub | 1980 | A=0.4025 | G=0.5975 |
The PAGE Study | NativeAmerican | Sub | 1260 | A=0.4008 | G=0.5992 |
The PAGE Study | SouthAsian | Sub | 854 | A=0.337 | G=0.663 |
14KJPN | JAPANESE | Study-wide | 28258 | A=0.27560 | G=0.72440 |
8.3KJPN | JAPANESE | Study-wide | 16760 | A=0.27822 | G=0.72178 |
1000Genomes_30x | Global | Study-wide | 6404 | A=0.4052 | G=0.5948 |
1000Genomes_30x | African | Sub | 1786 | A=0.4933 | G=0.5067 |
1000Genomes_30x | Europe | Sub | 1266 | A=0.4202 | G=0.5798 |
1000Genomes_30x | South Asian | Sub | 1202 | A=0.3361 | G=0.6639 |
1000Genomes_30x | East Asian | Sub | 1170 | A=0.3120 | G=0.6880 |
1000Genomes_30x | American | Sub | 980 | A=0.421 | G=0.579 |
1000Genomes | Global | Study-wide | 5008 | A=0.4038 | G=0.5962 |
1000Genomes | African | Sub | 1322 | A=0.4947 | G=0.5053 |
1000Genomes | East Asian | Sub | 1008 | A=0.3165 | G=0.6835 |
1000Genomes | Europe | Sub | 1006 | A=0.4205 | G=0.5795 |
1000Genomes | South Asian | Sub | 978 | A=0.344 | G=0.656 |
1000Genomes | American | Sub | 694 | A=0.418 | G=0.582 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | A=0.3609 | G=0.6391 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | A=0.3825 | G=0.6175 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | A=0.3954 | G=0.6046 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | A=0.2696 | G=0.7304 |
HapMap | Global | Study-wide | 1892 | A=0.4223 | G=0.5777 |
HapMap | American | Sub | 770 | A=0.409 | G=0.591 |
HapMap | African | Sub | 692 | A=0.499 | G=0.501 |
HapMap | Asian | Sub | 254 | A=0.272 | G=0.728 |
HapMap | Europe | Sub | 176 | A=0.398 | G=0.602 |
Korean Genome Project | KOREAN | Study-wide | 1832 | A=0.2800 | G=0.7200 |
Genome-wide autozygosity in Daghestan | Global | Study-wide | 1130 | A=0.4407 | G=0.5593 |
Genome-wide autozygosity in Daghestan | Daghestan | Sub | 626 | A=0.454 | G=0.546 |
Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | A=0.514 | G=0.486 |
Genome-wide autozygosity in Daghestan | Central Asia | Sub | 120 | A=0.383 | G=0.617 |
Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | A=0.454 | G=0.546 |
Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | A=0.26 | G=0.74 |
Genome-wide autozygosity in Daghestan | Caucasus | Sub | 34 | A=0.59 | G=0.41 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | A=0.407 | G=0.593 |
CNV burdens in cranial meningiomas | Global | Study-wide | 786 | A=0.328 | G=0.672 |
CNV burdens in cranial meningiomas | CRM | Sub | 786 | A=0.328 | G=0.672 |
Northern Sweden | ACPOP | Study-wide | 600 | A=0.412 | G=0.588 |
SGDP_PRJ | Global | Study-wide | 490 | A=0.259 | G=0.741 |
Qatari | Global | Study-wide | 216 | A=0.375 | G=0.625 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 210 | A=0.371 | G=0.629 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 80 | A=0.55 | G=0.45 |
Siberian | Global | Study-wide | 56 | A=0.25 | G=0.75 |
The Danish reference pan genome | Danish | Study-wide | 40 | A=0.40 | G=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 10 | NC_000010.11:g.121592803A>G |
GRCh37.p13 chr 10 | NC_000010.10:g.123352317A>G |
FGFR2 RefSeqGene (LRG_994) | NG_012449.2:g.10656T>C |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
FGFR2 transcript variant 1 | NM_000141.5:c.109+906T>C | N/A | Intron Variant |
FGFR2 transcript variant 3 |
NM_001144913.1:c.109+906T… NM_001144913.1:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 4 |
NM_001144914.1:c.109+906T… NM_001144914.1:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 5 |
NM_001144915.2:c.109+906T… NM_001144915.2:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 6 |
NM_001144916.2:c.109+906T… NM_001144916.2:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 7 |
NM_001144917.2:c.109+906T… NM_001144917.2:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 8 |
NM_001144918.2:c.109+906T… NM_001144918.2:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 9 |
NM_001144919.2:c.109+906T… NM_001144919.2:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 16 |
NM_001320658.2:c.109+906T… NM_001320658.2:c.109+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant 2 | NM_022970.3:c.109+906T>C | N/A | Intron Variant |
FGFR2 transcript variant 11 | NM_023029.2:c.109+906T>C | N/A | Intron Variant |
FGFR2 transcript variant 15 | NM_001320654.2:c. | N/A | Genic Upstream Transcript Variant |
FGFR2 transcript variant 14 | NR_073009.2:n. | N/A | Intron Variant |
FGFR2 transcript variant X1 |
XM_006717708.4:c.166+906T… XM_006717708.4:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X2 |
XM_006717710.5:c.166+906T… XM_006717710.5:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X3 |
XM_017015920.3:c.166+906T… XM_017015920.3:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X4 |
XM_017015921.3:c.166+906T… XM_017015921.3:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X10 |
XM_017015924.3:c.166+906T… XM_017015924.3:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X11 |
XM_017015925.3:c.166+906T… XM_017015925.3:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X6 |
XM_024447887.2:c.166+906T… XM_024447887.2:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X7 |
XM_024447888.2:c.166+906T… XM_024447888.2:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X8 |
XM_024447889.2:c.166+906T… XM_024447889.2:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X5 |
XM_024447890.2:c.166+906T… XM_024447890.2:c.166+906T>C |
N/A | Intron Variant |
FGFR2 transcript variant X9 |
XM_024447891.2:c.166+906T… XM_024447891.2:c.166+906T>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.
ClinVar Accession | Disease Names | Clinical Significance |
---|---|---|
RCV002054528.4 | FGFR2 related craniosynostosis | Benign |
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 | A= | G |
---|---|---|
GRCh38.p14 chr 10 | NC_000010.11:g.121592803= | NC_000010.11:g.121592803A>G |
GRCh37.p13 chr 10 | NC_000010.10:g.123352317= | NC_000010.10:g.123352317A>G |
FGFR2 RefSeqGene (LRG_994) | NG_012449.2:g.10656= | NG_012449.2:g.10656T>C |
FGFR2 transcript variant 1 | NM_000141.4:c.109+906= | NM_000141.4:c.109+906T>C |
FGFR2 transcript variant 1 | NM_000141.5:c.109+906= | NM_000141.5:c.109+906T>C |
FGFR2 transcript variant 3 | NM_001144913.1:c.109+906= | NM_001144913.1:c.109+906T>C |
FGFR2 transcript variant 4 | NM_001144914.1:c.109+906= | NM_001144914.1:c.109+906T>C |
FGFR2 transcript variant 5 | NM_001144915.1:c.109+906= | NM_001144915.1:c.109+906T>C |
FGFR2 transcript variant 5 | NM_001144915.2:c.109+906= | NM_001144915.2:c.109+906T>C |
FGFR2 transcript variant 6 | NM_001144916.1:c.109+906= | NM_001144916.1:c.109+906T>C |
FGFR2 transcript variant 6 | NM_001144916.2:c.109+906= | NM_001144916.2:c.109+906T>C |
FGFR2 transcript variant 7 | NM_001144917.1:c.109+906= | NM_001144917.1:c.109+906T>C |
FGFR2 transcript variant 7 | NM_001144917.2:c.109+906= | NM_001144917.2:c.109+906T>C |
FGFR2 transcript variant 8 | NM_001144918.1:c.109+906= | NM_001144918.1:c.109+906T>C |
FGFR2 transcript variant 8 | NM_001144918.2:c.109+906= | NM_001144918.2:c.109+906T>C |
FGFR2 transcript variant 9 | NM_001144919.1:c.109+906= | NM_001144919.1:c.109+906T>C |
FGFR2 transcript variant 9 | NM_001144919.2:c.109+906= | NM_001144919.2:c.109+906T>C |
FGFR2 transcript variant 16 | NM_001320658.2:c.109+906= | NM_001320658.2:c.109+906T>C |
FGFR2 transcript variant 2 | NM_022970.3:c.109+906= | NM_022970.3:c.109+906T>C |
FGFR2 transcript variant 11 | NM_023029.2:c.109+906= | NM_023029.2:c.109+906T>C |
FGFR2 transcript variant X1 | XM_006717708.4:c.166+906= | XM_006717708.4:c.166+906T>C |
FGFR2 transcript variant X2 | XM_006717710.5:c.166+906= | XM_006717710.5:c.166+906T>C |
FGFR2 transcript variant X3 | XM_017015920.3:c.166+906= | XM_017015920.3:c.166+906T>C |
FGFR2 transcript variant X4 | XM_017015921.3:c.166+906= | XM_017015921.3:c.166+906T>C |
FGFR2 transcript variant X10 | XM_017015924.3:c.166+906= | XM_017015924.3:c.166+906T>C |
FGFR2 transcript variant X11 | XM_017015925.3:c.166+906= | XM_017015925.3:c.166+906T>C |
FGFR2 transcript variant X6 | XM_024447887.2:c.166+906= | XM_024447887.2:c.166+906T>C |
FGFR2 transcript variant X7 | XM_024447888.2:c.166+906= | XM_024447888.2:c.166+906T>C |
FGFR2 transcript variant X8 | XM_024447889.2:c.166+906= | XM_024447889.2:c.166+906T>C |
FGFR2 transcript variant X5 | XM_024447890.2:c.166+906= | XM_024447890.2:c.166+906T>C |
FGFR2 transcript variant X9 | XM_024447891.2:c.166+906= | XM_024447891.2:c.166+906T>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 | SC_JCM | ss4196009 | Nov 05, 2001 (101) |
2 | COX | ss4383844 | Mar 26, 2002 (103) |
3 | BCM_SSAHASNP | ss10590154 | Jul 11, 2003 (116) |
4 | WI_SSAHASNP | ss12067027 | Jul 11, 2003 (116) |
5 | CSHL-HAPMAP | ss19878615 | Feb 27, 2004 (120) |
6 | SSAHASNP | ss20699878 | Apr 05, 2004 (121) |
7 | PERLEGEN | ss23605537 | Sep 20, 2004 (123) |
8 | ABI | ss38524476 | Mar 15, 2006 (126) |
9 | PERLEGEN | ss69093877 | May 18, 2007 (127) |
10 | STRUEWING | ss71651721 | May 21, 2007 (130) |
11 | ILLUMINA | ss74972407 | Dec 07, 2007 (129) |
12 | AFFY | ss76583667 | Dec 07, 2007 (129) |
13 | KRIBB_YJKIM | ss80746050 | Dec 14, 2007 (130) |
14 | HGSV | ss81629183 | Dec 14, 2007 (130) |
15 | HGSV | ss81681437 | Dec 14, 2007 (130) |
16 | HGSV | ss84217602 | Dec 14, 2007 (130) |
17 | HUMANGENOME_JCVI | ss97690747 | Feb 03, 2009 (130) |
18 | SNP500CANCER | ss105440200 | Feb 03, 2009 (130) |
19 | BGI | ss106707859 | Feb 03, 2009 (130) |
20 | 1000GENOMES | ss109812842 | Jan 24, 2009 (130) |
21 | 1000GENOMES | ss113931414 | Jan 25, 2009 (130) |
22 | KRIBB_YJKIM | ss119452166 | Dec 01, 2009 (131) |
23 | ENSEMBL | ss131849495 | Dec 01, 2009 (131) |
24 | GMI | ss155640126 | Dec 01, 2009 (131) |
25 | ILLUMINA | ss160604438 | Dec 01, 2009 (131) |
26 | COMPLETE_GENOMICS | ss168780501 | Jul 04, 2010 (132) |
27 | COMPLETE_GENOMICS | ss171248228 | Jul 04, 2010 (132) |
28 | ILLUMINA | ss173546621 | Jul 04, 2010 (132) |
29 | COMPLETE_GENOMICS | ss174785842 | Jul 04, 2010 (132) |
30 | PAGE_STUDY | ss181341901 | Jul 04, 2010 (132) |
31 | BUSHMAN | ss202114964 | Jul 04, 2010 (132) |
32 | BCM-HGSC-SUB | ss207374847 | Jul 04, 2010 (132) |
33 | 1000GENOMES | ss224983724 | Jul 14, 2010 (132) |
34 | 1000GENOMES | ss235363912 | Jul 15, 2010 (132) |
35 | 1000GENOMES | ss242034432 | Jul 15, 2010 (132) |
36 | GMI | ss280803156 | May 04, 2012 (137) |
37 | PJP | ss290948691 | May 09, 2011 (134) |
38 | ILLUMINA | ss410927685 | Sep 17, 2011 (135) |
39 | PAGE_STUDY | ss469414480 | May 04, 2012 (137) |
40 | PAGE_STUDY | ss469996489 | May 04, 2012 (137) |
41 | ILLUMINA | ss480734226 | May 04, 2012 (137) |
42 | ILLUMINA | ss480750009 | May 04, 2012 (137) |
43 | ILLUMINA | ss481632131 | Sep 08, 2015 (146) |
44 | ILLUMINA | ss485161810 | May 04, 2012 (137) |
45 | EXOME_CHIP | ss491441433 | May 04, 2012 (137) |
46 | ILLUMINA | ss537154995 | Sep 08, 2015 (146) |
47 | TISHKOFF | ss562260226 | Apr 25, 2013 (138) |
48 | SSMP | ss657492375 | Apr 25, 2013 (138) |
49 | ILLUMINA | ss778513881 | Sep 08, 2015 (146) |
50 | ILLUMINA | ss780684129 | Sep 08, 2015 (146) |
51 | ILLUMINA | ss783027161 | Sep 08, 2015 (146) |
52 | ILLUMINA | ss783357559 | Sep 08, 2015 (146) |
53 | ILLUMINA | ss783986964 | Sep 08, 2015 (146) |
54 | CLINVAR | ss831878788 | Nov 05, 2013 (136) |
55 | ILLUMINA | ss832284748 | Sep 08, 2015 (146) |
56 | ILLUMINA | ss833970180 | Sep 08, 2015 (146) |
57 | EVA-GONL | ss988003899 | Aug 21, 2014 (142) |
58 | JMKIDD_LAB | ss1077358634 | Aug 21, 2014 (142) |
59 | 1000GENOMES | ss1339378413 | Aug 21, 2014 (142) |
60 | HAMMER_LAB | ss1397594591 | Sep 08, 2015 (146) |
61 | DDI | ss1426467758 | Apr 01, 2015 (144) |
62 | EVA_GENOME_DK | ss1575402325 | Apr 01, 2015 (144) |
63 | EVA_DECODE | ss1597683038 | Apr 01, 2015 (144) |
64 | EVA_UK10K_ALSPAC | ss1625605694 | Apr 01, 2015 (144) |
65 | EVA_UK10K_TWINSUK | ss1668599727 | Apr 01, 2015 (144) |
66 | EVA_SVP | ss1713217801 | Apr 01, 2015 (144) |
67 | ILLUMINA | ss1751951486 | Sep 08, 2015 (146) |
68 | ILLUMINA | ss1751951487 | Sep 08, 2015 (146) |
69 | HAMMER_LAB | ss1806604686 | Sep 08, 2015 (146) |
70 | ILLUMINA | ss1917852390 | Feb 12, 2016 (147) |
71 | WEILL_CORNELL_DGM | ss1931361777 | Feb 12, 2016 (147) |
72 | ILLUMINA | ss1946295211 | Feb 12, 2016 (147) |
73 | ILLUMINA | ss1959301178 | Feb 12, 2016 (147) |
74 | GENOMED | ss1967243413 | Jul 19, 2016 (147) |
75 | JJLAB | ss2026417697 | Sep 14, 2016 (149) |
76 | ILLUMINA | ss2094789373 | Dec 20, 2016 (150) |
77 | ILLUMINA | ss2095017822 | Dec 20, 2016 (150) |
78 | USC_VALOUEV | ss2154694917 | Dec 20, 2016 (150) |
79 | HUMAN_LONGEVITY | ss2178726637 | Dec 20, 2016 (150) |
80 | SYSTEMSBIOZJU | ss2627675782 | Nov 08, 2017 (151) |
81 | ILLUMINA | ss2632772623 | Nov 08, 2017 (151) |
82 | ILLUMINA | ss2632772624 | Nov 08, 2017 (151) |
83 | ILLUMINA | ss2635020002 | Nov 08, 2017 (151) |
84 | ILLUMINA | ss2635020003 | Nov 08, 2017 (151) |
85 | GRF | ss2698956109 | Nov 08, 2017 (151) |
86 | ILLUMINA | ss2710722945 | Nov 08, 2017 (151) |
87 | GNOMAD | ss2894272913 | Nov 08, 2017 (151) |
88 | AFFY | ss2984925575 | Nov 08, 2017 (151) |
89 | AFFY | ss2985573693 | Nov 08, 2017 (151) |
90 | SWEGEN | ss3007274302 | Nov 08, 2017 (151) |
91 | ILLUMINA | ss3021282738 | Nov 08, 2017 (151) |
92 | BIOINF_KMB_FNS_UNIBA | ss3026997949 | Nov 08, 2017 (151) |
93 | CSHL | ss3349347416 | Nov 08, 2017 (151) |
94 | ILLUMINA | ss3626552452 | Oct 12, 2018 (152) |
95 | ILLUMINA | ss3626552453 | Oct 12, 2018 (152) |
96 | ILLUMINA | ss3630794291 | Oct 12, 2018 (152) |
97 | ILLUMINA | ss3632967750 | Oct 12, 2018 (152) |
98 | ILLUMINA | ss3633665696 | Oct 12, 2018 (152) |
99 | ILLUMINA | ss3634428033 | Oct 12, 2018 (152) |
100 | ILLUMINA | ss3634428034 | Oct 12, 2018 (152) |
101 | ILLUMINA | ss3635357784 | Oct 12, 2018 (152) |
102 | ILLUMINA | ss3636112809 | Oct 12, 2018 (152) |
103 | ILLUMINA | ss3637108538 | Oct 12, 2018 (152) |
104 | ILLUMINA | ss3637878746 | Oct 12, 2018 (152) |
105 | ILLUMINA | ss3640135374 | Oct 12, 2018 (152) |
106 | ILLUMINA | ss3640135375 | Oct 12, 2018 (152) |
107 | ILLUMINA | ss3641007803 | Oct 12, 2018 (152) |
108 | ILLUMINA | ss3641302159 | Oct 12, 2018 (152) |
109 | ILLUMINA | ss3642879572 | Oct 12, 2018 (152) |
110 | ILLUMINA | ss3644547981 | Oct 12, 2018 (152) |
111 | URBANLAB | ss3649484749 | Oct 12, 2018 (152) |
112 | ILLUMINA | ss3651642390 | Oct 12, 2018 (152) |
113 | ILLUMINA | ss3651642391 | Oct 12, 2018 (152) |
114 | ILLUMINA | ss3653696835 | Oct 12, 2018 (152) |
115 | EGCUT_WGS | ss3674693315 | Jul 13, 2019 (153) |
116 | EVA_DECODE | ss3690836827 | Jul 13, 2019 (153) |
117 | ILLUMINA | ss3725195676 | Jul 13, 2019 (153) |
118 | ACPOP | ss3737747337 | Jul 13, 2019 (153) |
119 | ILLUMINA | ss3744372754 | Jul 13, 2019 (153) |
120 | ILLUMINA | ss3744729000 | Jul 13, 2019 (153) |
121 | ILLUMINA | ss3744729001 | Jul 13, 2019 (153) |
122 | EVA | ss3748702163 | Jul 13, 2019 (153) |
123 | PAGE_CC | ss3771588546 | Jul 13, 2019 (153) |
124 | ILLUMINA | ss3772229232 | Jul 13, 2019 (153) |
125 | ILLUMINA | ss3772229233 | Jul 13, 2019 (153) |
126 | PACBIO | ss3786809588 | Jul 13, 2019 (153) |
127 | PACBIO | ss3791968613 | Jul 13, 2019 (153) |
128 | PACBIO | ss3796850754 | Jul 13, 2019 (153) |
129 | KHV_HUMAN_GENOMES | ss3814059434 | Jul 13, 2019 (153) |
130 | EVA | ss3832372541 | Apr 26, 2020 (154) |
131 | EVA | ss3839727673 | Apr 26, 2020 (154) |
132 | EVA | ss3845202456 | Apr 26, 2020 (154) |
133 | SGDP_PRJ | ss3875220396 | Apr 26, 2020 (154) |
134 | KRGDB | ss3923399818 | Apr 26, 2020 (154) |
135 | KOGIC | ss3968829535 | Apr 26, 2020 (154) |
136 | EVA | ss3984642209 | Apr 26, 2021 (155) |
137 | EVA | ss3985505515 | Apr 26, 2021 (155) |
138 | EVA | ss4017512275 | Apr 26, 2021 (155) |
139 | TOPMED | ss4869198206 | Apr 26, 2021 (155) |
140 | TOMMO_GENOMICS | ss5199827882 | Apr 26, 2021 (155) |
141 | 1000G_HIGH_COVERAGE | ss5285742554 | Oct 16, 2022 (156) |
142 | EVA | ss5315508837 | Oct 16, 2022 (156) |
143 | EVA | ss5396545637 | Oct 16, 2022 (156) |
144 | HUGCELL_USP | ss5481137875 | Oct 16, 2022 (156) |
145 | 1000G_HIGH_COVERAGE | ss5580559704 | Oct 16, 2022 (156) |
146 | SANFORD_IMAGENETICS | ss5624260940 | Oct 16, 2022 (156) |
147 | SANFORD_IMAGENETICS | ss5650254514 | Oct 16, 2022 (156) |
148 | TOMMO_GENOMICS | ss5746300922 | Oct 16, 2022 (156) |
149 | EVA | ss5799827535 | Oct 16, 2022 (156) |
150 | YY_MCH | ss5811952461 | Oct 16, 2022 (156) |
151 | EVA | ss5825066767 | Oct 16, 2022 (156) |
152 | EVA | ss5847381557 | Oct 16, 2022 (156) |
153 | EVA | ss5847612794 | Oct 16, 2022 (156) |
154 | EVA | ss5849775095 | Oct 16, 2022 (156) |
155 | EVA | ss5880848713 | Oct 16, 2022 (156) |
156 | EVA | ss5941561313 | Oct 16, 2022 (156) |
157 | EVA | ss5979341577 | Oct 16, 2022 (156) |
158 | 1000Genomes | NC_000010.10 - 123352317 | Oct 12, 2018 (152) |
159 | 1000Genomes_30x | NC_000010.11 - 121592803 | Oct 16, 2022 (156) |
160 | The Avon Longitudinal Study of Parents and Children | NC_000010.10 - 123352317 | Oct 12, 2018 (152) |
161 | Genome-wide autozygosity in Daghestan | NC_000010.9 - 123342307 | Apr 26, 2020 (154) |
162 | Genetic variation in the Estonian population | NC_000010.10 - 123352317 | Oct 12, 2018 (152) |
163 | The Danish reference pan genome | NC_000010.10 - 123352317 | Apr 26, 2020 (154) |
164 | gnomAD - Genomes | NC_000010.11 - 121592803 | Apr 26, 2021 (155) |
165 | Genome of the Netherlands Release 5 | NC_000010.10 - 123352317 | Apr 26, 2020 (154) |
166 | HapMap | NC_000010.11 - 121592803 | Apr 26, 2020 (154) |
167 | KOREAN population from KRGDB | NC_000010.10 - 123352317 | Apr 26, 2020 (154) |
168 | Korean Genome Project | NC_000010.11 - 121592803 | Apr 26, 2020 (154) |
169 | Northern Sweden | NC_000010.10 - 123352317 | Jul 13, 2019 (153) |
170 | The PAGE Study | NC_000010.11 - 121592803 | Jul 13, 2019 (153) |
171 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000010.10 - 123352317 | Apr 26, 2021 (155) |
172 | CNV burdens in cranial meningiomas | NC_000010.10 - 123352317 | Apr 26, 2021 (155) |
173 | Qatari | NC_000010.10 - 123352317 | Apr 26, 2020 (154) |
174 | SGDP_PRJ | NC_000010.10 - 123352317 | Apr 26, 2020 (154) |
175 | Siberian | NC_000010.10 - 123352317 | Apr 26, 2020 (154) |
176 | 8.3KJPN | NC_000010.10 - 123352317 | Apr 26, 2021 (155) |
177 | 14KJPN | NC_000010.11 - 121592803 | Oct 16, 2022 (156) |
178 | TopMed | NC_000010.11 - 121592803 | Apr 26, 2021 (155) |
179 | UK 10K study - Twins | NC_000010.10 - 123352317 | Oct 12, 2018 (152) |
180 | A Vietnamese Genetic Variation Database | NC_000010.10 - 123352317 | Jul 13, 2019 (153) |
181 | ALFA | NC_000010.11 - 121592803 | Apr 26, 2021 (155) |
182 | ClinVar | RCV002054528.4 | Oct 16, 2022 (156) |
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) |
---|---|
rs45631640 | May 23, 2008 (130) |
rs56718061 | May 23, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss81629183, ss81681437, ss84217602 | NC_000010.8:123342306:A:G | NC_000010.11:121592802:A:G | (self) |
65951, ss76583667, ss109812842, ss113931414, ss168780501, ss171248228, ss174785842, ss202114964, ss207374847, ss280803156, ss290948691, ss480734226, ss1397594591, ss1597683038, ss1713217801, ss2635020002, ss2635020003, ss3642879572 | NC_000010.9:123342306:A:G | NC_000010.11:121592802:A:G | (self) |
51836866, 28796322, 20431563, 2359111, 12833607, 30577212, 11032202, 731442, 191679, 13403707, 27237376, 7211271, 57797189, 28796322, 6389751, ss224983724, ss235363912, ss242034432, ss480750009, ss481632131, ss485161810, ss491441433, ss537154995, ss562260226, ss657492375, ss778513881, ss780684129, ss783027161, ss783357559, ss783986964, ss832284748, ss833970180, ss988003899, ss1077358634, ss1339378413, ss1426467758, ss1575402325, ss1625605694, ss1668599727, ss1751951486, ss1751951487, ss1806604686, ss1917852390, ss1931361777, ss1946295211, ss1959301178, ss1967243413, ss2026417697, ss2094789373, ss2095017822, ss2154694917, ss2627675782, ss2632772623, ss2632772624, ss2698956109, ss2710722945, ss2894272913, ss2984925575, ss2985573693, ss3007274302, ss3021282738, ss3349347416, ss3626552452, ss3626552453, ss3630794291, ss3632967750, ss3633665696, ss3634428033, ss3634428034, ss3635357784, ss3636112809, ss3637108538, ss3637878746, ss3640135374, ss3640135375, ss3641007803, ss3641302159, ss3644547981, ss3651642390, ss3651642391, ss3653696835, ss3674693315, ss3737747337, ss3744372754, ss3744729000, ss3744729001, ss3748702163, ss3772229232, ss3772229233, ss3786809588, ss3791968613, ss3796850754, ss3832372541, ss3839727673, ss3875220396, ss3923399818, ss3984642209, ss3985505515, ss4017512275, ss5199827882, ss5315508837, ss5396545637, ss5624260940, ss5650254514, ss5799827535, ss5825066767, ss5847381557, ss5847612794, ss5941561313, ss5979341577 | NC_000010.10:123352316:A:G | NC_000010.11:121592802:A:G | (self) |
RCV002054528.4, 68085639, 366226563, 510256, 25207536, 810015, 80138026, 84743861, 12789307823, ss831878788, ss2178726637, ss3026997949, ss3649484749, ss3690836827, ss3725195676, ss3771588546, ss3814059434, ss3845202456, ss3968829535, ss4869198206, ss5285742554, ss5481137875, ss5580559704, ss5746300922, ss5811952461, ss5849775095, ss5880848713 | NC_000010.11:121592802:A:G | NC_000010.11:121592802:A:G | (self) |
ss10590154, ss12067027 | NT_030059.10:41790874:A:G | NC_000010.11:121592802:A:G | (self) |
ss19878615, ss20699878 | NT_030059.11:42100842:A:G | NC_000010.11:121592802:A:G | (self) |
ss4196009, ss4383844, ss23605537, ss38524476, ss69093877, ss71651721, ss74972407, ss80746050, ss97690747, ss105440200, ss106707859, ss119452166, ss131849495, ss155640126, ss160604438, ss173546621, ss181341901, ss410927685, ss469414480, ss469996489 | NT_030059.13:74156780:A:G | NC_000010.11:121592802:A:G | (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 |
---|---|---|---|---|
17529967 | Genome-wide association study identifies novel breast cancer susceptibility loci. | Easton DF et al. | 2007 | Nature |
17529973 | A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. | Hunter DJ et al. | 2007 | Nature genetics |
17997823 | Clinical correlates of low-risk variants in FGFR2, TNRC9, MAP3K1, LSP1 and 8q24 in a Dutch cohort of incident breast cancer cases. | Huijts PE et al. | 2007 | Breast cancer research |
18224312 | Pharmacogenetics: data, concepts and tools to improve drug discovery and drug treatment. | Brockmöller J et al. | 2008 | European journal of clinical pharmacology |
18285324 | Common variation in the fibroblast growth factor receptor 2 gene is not associated with endometriosis risk. | Zhao ZZ et al. | 2008 | Human reproduction (Oxford, England) |
18326623 | Genome-wide association study provides evidence for a breast cancer risk locus at 6q22.33. | Gold B et al. | 2008 | Proceedings of the National Academy of Sciences of the United States of America |
18355772 | Common breast cancer-predisposition alleles are associated with breast cancer risk in BRCA1 and BRCA2 mutation carriers. | Antoniou AC et al. | 2008 | American journal of human genetics |
18437204 | Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics. | Garcia-Closas M et al. | 2008 | PLoS genetics |
18462018 | Allele-specific up-regulation of FGFR2 increases susceptibility to breast cancer. | Meyer KB et al. | 2008 | PLoS biology |
18478591 | Studies of genes in the FGF signaling pathway and oral clefts with or without dental anomalies. | Menezes R et al. | 2008 | American journal of medical genetics. Part A |
18483326 | FGFR2 is a breast cancer susceptibility gene in Jewish and Arab Israeli populations. | Raskin L et al. | 2008 | Cancer epidemiology, biomarkers & prevention |
18535005 | The search for genes contributing to endometriosis risk. | Montgomery GW et al. | 2008 | Human reproduction update |
18612136 | Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. | Gail MH et al. | 2008 | Journal of the National Cancer Institute |
18681954 | Breast cancer susceptibility loci and mammographic density. | Tamimi RM et al. | 2008 | Breast cancer research |
18708391 | Breast cancer risk polymorphisms and interaction with ionizing radiation among U.S. radiologic technologists. | Bhatti P et al. | 2008 | Cancer epidemiology, biomarkers & prevention |
18772892 | Can genes for mammographic density inform cancer aetiology? | Kelemen LE et al. | 2008 | Nature reviews. Cancer |
18785201 | Novel breast cancer risk alleles and endometrial cancer risk. | McGrath M et al. | 2008 | International journal of cancer |
18845558 | Genetic variants in fibroblast growth factor receptor 2 (FGFR2) contribute to susceptibility of breast cancer in Chinese women. | Liang J et al. | 2008 | Carcinogenesis |
18973230 | Breast cancer susceptibility alleles and ovarian cancer risk in 2 study populations. | Gates MA et al. | 2009 | International journal of cancer |
19005751 | Low penetrance breast cancer predisposition SNPs are site specific. | Mcinerney N et al. | 2009 | Breast cancer research and treatment |
19028704 | Hormone-dependent effects of FGFR2 and MAP3K1 in breast cancer susceptibility in a population-based sample of post-menopausal African-American and European-American women. | Rebbeck TR et al. | 2009 | Carcinogenesis |
19088016 | Genetic susceptibility loci for breast cancer by estrogen receptor status. | Garcia-Closas M et al. | 2008 | Clinical cancer research |
19092773 | Breast cancer susceptibility: current knowledge and implications for genetic counselling. | Ripperger T et al. | 2009 | European journal of human genetics |
19094228 | The influence of genetic variation in 30 selected genes on the clinical characteristics of early onset breast cancer. | Tapper W et al. | 2008 | Breast cancer research |
19119171 | AXIS inhibition protein 2, orofacial clefts and a family history of cancer. | Menezes R et al. | 2009 | Journal of the American Dental Association (1939) |
19219042 | Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. | Zheng W et al. | 2009 | Nature genetics |
19223389 | FGFR2 variants and breast cancer risk: fine-scale mapping using African American studies and analysis of chromatin conformation. | Udler MS et al. | 2009 | Human molecular genetics |
19232126 | Association between breast cancer susceptibility loci and mammographic density: the Multiethnic Cohort. | Woolcott CG et al. | 2009 | Breast cancer research |
19304784 | Association between invasive ovarian cancer susceptibility and 11 best candidate SNPs from breast cancer genome-wide association study. | Song H et al. | 2009 | Human molecular genetics |
19454617 | Genetic variation in the chromosome 17q23 amplicon and breast cancer risk. | Kelemen LE et al. | 2009 | Cancer epidemiology, biomarkers & prevention |
19497954 | Histone-acetylated control of fibroblast growth factor receptor 2 intron 2 polymorphisms and isoform splicing in breast cancer. | Zhu X et al. | 2009 | Molecular endocrinology (Baltimore, Md.) |
19519208 | Polygenic susceptibility to breast cancer: current state-of-the-art. | Ghoussaini M et al. | 2009 | Future oncology (London, England) |
19536173 | Association of FGFR2 gene polymorphisms with the risk of breast cancer in population of West Siberia. | Boyarskikh UA et al. | 2009 | European journal of human genetics |
19567422 | Risk of estrogen receptor-positive and -negative breast cancer and single-nucleotide polymorphism 2q35-rs13387042. | Milne RL et al. | 2009 | Journal of the National Cancer Institute |
19607694 | Low-risk susceptibility alleles in 40 human breast cancer cell lines. | Riaz M et al. | 2009 | BMC cancer |
19639606 | Correcting "winner's curse" in odds ratios from genomewide association findings for major complex human diseases. | Zhong H et al. | 2010 | Genetic epidemiology |
19738052 | A risk variant in an miR-125b binding site in BMPR1B is associated with breast cancer pathogenesis. | Saetrom P et al. | 2009 | Cancer research |
19789366 | Evaluation of 11 breast cancer susceptibility loci in African-American women. | Zheng W et al. | 2009 | Cancer epidemiology, biomarkers & prevention |
19861516 | Variation in the FGFR2 gene and the effects of postmenopausal hormone therapy on invasive breast cancer. | Prentice RL et al. | 2009 | Cancer epidemiology, biomarkers & prevention |
19931039 | Using lifetime risk estimates in personal genomic profiles: estimation of uncertainty. | Yang Q et al. | 2009 | American journal of human genetics |
20054709 | Birth weight, breast cancer susceptibility loci, and breast cancer risk. | Tamimi RM et al. | 2010 | Cancer causes & control |
20056625 | Variation in the FGFR2 gene and the effect of a low-fat dietary pattern on invasive breast cancer. | Prentice RL et al. | 2010 | Cancer epidemiology, biomarkers & prevention |
20056641 | Multiple genetic variants in telomere pathway genes and breast cancer risk. | Shen J et al. | 2010 | Cancer epidemiology, biomarkers & prevention |
20085711 | Leveraging genetic variability across populations for the identification of causal variants. | Zaitlen N et al. | 2010 | American journal of human genetics |
20126254 | Rare variants create synthetic genome-wide associations. | Dickson SP et al. | 2010 | PLoS biology |
20146796 | Familial relative risks for breast cancer by pathological subtype: a population-based cohort study. | Mavaddat N et al. | 2010 | Breast cancer research |
20193855 | rs2981582 is associated with FGFR2 expression in normal breast. | Sun C et al. | 2010 | Cancer genetics and cytogenetics |
20237344 | Performance of common genetic variants in breast-cancer risk models. | Wacholder S et al. | 2010 | The New England journal of medicine |
20299982 | Evaluating cancer epidemiologic risk factors using multiple primary malignancies. | Kuligina E et al. | 2010 | Epidemiology (Cambridge, Mass.) |
20300826 | Current evidence on the relationship between three polymorphisms in the FGFR2 gene and breast cancer risk: a meta-analysis. | Zhang J et al. | 2010 | Breast cancer research and treatment |
20348248 | Genetic and epigenetic mechanisms down-regulate FGF receptor 2 to induce melanoma-associated antigen A in breast cancer. | Zhu X et al. | 2010 | The American journal of pathology |
20364400 | Quantitative assessment of the effect of FGFR2 gene polymorphism on the risk of breast cancer. | Jia C et al. | 2010 | Breast cancer research and treatment |
20453838 | Genome-wide association study identifies five new breast cancer susceptibility loci. | Turnbull C et al. | 2010 | Nature genetics |
20484103 | Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women. | Zheng W et al. | 2010 | Journal of the National Cancer Institute |
20505153 | A compendium of genome-wide associations for cancer: critical synopsis and reappraisal. | Ioannidis JP et al. | 2010 | Journal of the National Cancer Institute |
20530438 | Unique SNP in CD44 intron 1 and its role in breast cancer development. | Zhou J et al. | 2010 | Anticancer research |
20554749 | FGFR2 and other loci identified in genome-wide association studies are associated with breast cancer in African-American and younger women. | Barnholtz-Sloan JS et al. | 2010 | Carcinogenesis |
20585100 | Genome-wide association studies of cancer. | Stadler ZK et al. | 2010 | Journal of clinical oncology |
20605201 | Gene-environment interactions in 7610 women with breast cancer: prospective evidence from the Million Women Study. | Travis RC et al. | 2010 | Lancet (London, England) |
20664043 | Incidence of breast cancer and its subtypes in relation to individual and multiple low-penetrance genetic susceptibility loci. | Reeves GK et al. | 2010 | JAMA |
20677155 | [Association of FGFR2 gene polymorphism with estrogen receptor positive breast cancer detected by fluorescent quantitative PCR]. | Ren L et al. | 2010 | Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics |
20699374 | Evaluation of breast cancer susceptibility loci in Chinese women. | Long J et al. | 2010 | Cancer epidemiology, biomarkers & prevention |
20718042 | Pooled versus individual genotyping in a breast cancer genome-wide association study. | Huang Y et al. | 2010 | Genetic epidemiology |
20853316 | FGFR2 intronic SNPs and breast cancer risk: associations with tumor characteristics and interactions with exogenous exposures and other known breast cancer risk factors. | Marian C et al. | 2011 | International journal of cancer |
20956782 | Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information. | Mealiffe ME et al. | 2010 | Journal of the National Cancer Institute |
20957429 | Discriminatory accuracy and potential clinical utility of genomic profiling for breast cancer risk in BRCA-negative women. | Comen E et al. | 2011 | Breast cancer research and treatment |
20959865 | Genome-wide association of breast cancer: composite likelihood with imputed genotypes. | Politopoulos I et al. | 2011 | European journal of human genetics |
21037853 | Breast cancer in the personal genomics era. | Ellsworth RE et al. | 2010 | Current genomics |
21049069 | Identification of Novel Susceptibility Genes for Breast Cancer - Genome-Wide Association Studies or Evaluation of Candidate Genes? | Meindl A et al. | 2009 | Breast care (Basel, Switzerland) |
21060860 | Common genetic variants and modification of penetrance of BRCA2-associated breast cancer. | Gaudet MM et al. | 2010 | PLoS genetics |
21102626 | Caution in generalizing known genetic risk markers for breast cancer across all ethnic/racial populations. | Chen F et al. | 2011 | European journal of human genetics |
21118973 | Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: implications for risk prediction. | Antoniou AC et al. | 2010 | Cancer research |
21132113 | Direct-to-Consumer Genetic and Genomic Testing: Preparing Nurse Practitioners for Genomic Healthcare. | Loud JT et al. | 2010 | The journal for nurse practitioners |
21194473 | Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study. | Milne RL et al. | 2010 | Breast cancer research |
21203894 | Cancer susceptibility variants and the risk of adult glioma in a US case-control study. | Egan KM et al. | 2011 | Journal of neuro-oncology |
21382839 | Relation of FGFR2 genetic polymorphisms to the association between oral contraceptive use and the risk of breast cancer in Chinese women. | Xu WH et al. | 2011 | American journal of epidemiology |
21415360 | Common genetic variants associated with breast cancer in Korean women and differential susceptibility according to intrinsic subtype. | Han W et al. | 2011 | Cancer epidemiology, biomarkers & prevention |
21418638 | FGFR2 protein expression in breast cancer: nuclear localisation and correlation with patient genotype. | Martin AJ et al. | 2011 | BMC research notes |
21445572 | Genetic polymorphisms and breast cancer risk: evidence from meta-analyses, pooled analyses, and genome-wide association studies. | Peng S et al. | 2011 | Breast cancer research and treatment |
21468051 | Polygenic susceptibility to prostate and breast cancer: implications for personalised screening. | Pashayan N et al. | 2011 | British journal of cancer |
21475998 | Replication of five GWAS-identified loci and breast cancer risk among Hispanic and non-Hispanic white women living in the Southwestern United States. | Slattery ML et al. | 2011 | Breast cancer research and treatment |
21497291 | Evaluation of nanofluidics technology for high-throughput SNP genotyping in a clinical setting. | Chan M et al. | 2011 | The Journal of molecular diagnostics |
21514219 | Genetic variants associated with breast-cancer risk: comprehensive research synopsis, meta-analysis, and epidemiological evidence. | Zhang B et al. | 2011 | The Lancet. Oncology |
21596841 | Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium. | Broeks A et al. | 2011 | Human molecular genetics |
21639959 | Annual conference on hereditary cancers 2009 szczecin, poland. 10-11 december 2009. Abstracts. | Jakubowska A et al. | 2011 | Hereditary cancer in clinical practice |
21655367 | In search of breast cancer culprits: suspecting the suspected and the unsuspected. | Dimri GP et al. | 2008 | Breast cancer |
21702935 | Genetic variants in the MRPS30 region and postmenopausal breast cancer risk. | Huang Y et al. | 2011 | Genome medicine |
21748294 | Correlation of breast cancer susceptibility loci with patient characteristics, metastasis-free survival, and mRNA expression of the nearest genes. | Riaz M et al. | 2012 | Breast cancer research and treatment |
21767389 | Allele-specific regulation of FGFR2 expression is cell type-dependent and may increase breast cancer risk through a paracrine stimulus involving FGF10. | Huijts PE et al. | 2011 | Breast cancer research |
21791674 | Interactions between genetic variants and breast cancer risk factors in the breast and prostate cancer cohort consortium. | Campa D et al. | 2011 | Journal of the National Cancer Institute |
21795498 | Confirmation of 5p12 as a susceptibility locus for progesterone-receptor-positive, lower grade breast cancer. | Milne RL et al. | 2011 | Cancer epidemiology, biomarkers & prevention |
21795501 | Replication of breast cancer GWAS susceptibility loci in the Women's Health Initiative African American SHARe Study. | Hutter CM et al. | 2011 | Cancer epidemiology, biomarkers & prevention |
21822685 | Genetic variants of fibroblast growth factor receptor 2 (FGFR2) are associated with breast cancer risk in Chinese women of the Han nationality. | Chen F et al. | 2012 | Immunogenetics |
21844186 | Common breast cancer susceptibility loci are associated with triple-negative breast cancer. | Stevens KN et al. | 2011 | Cancer research |
21852243 | Fine-mapping of breast cancer susceptibility loci characterizes genetic risk in African Americans. | Chen F et al. | 2011 | Human molecular genetics |
21869864 | An integrative genomics approach to biomarker discovery in breast cancer. | Hicks C et al. | 2011 | Cancer informatics |
21965274 | Breast cancer susceptibility polymorphisms and endometrial cancer risk: a Collaborative Endometrial Cancer Study. | Healey CS et al. | 2011 | Carcinogenesis |
22028405 | Estimating causal effects of genetic risk variants for breast cancer using marker data from bilateral and familial cases. | Dudbridge F et al. | 2012 | Cancer epidemiology, biomarkers & prevention |
22045194 | Combined effect of low-penetrant SNPs on breast cancer risk. | Harlid S et al. | 2012 | British journal of cancer |
22053997 | Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2. | Mulligan AM et al. | 2011 | Breast cancer research |
22087758 | Single nucleotide polymorphisms associated with risk for contralateral breast cancer in the Women's Environment, Cancer, and Radiation Epidemiology (WECARE) Study. | Teraoka SN et al. | 2011 | Breast cancer research |
22269215 | Breast cancer risk assessment with five independent genetic variants and two risk factors in Chinese women. | Dai J et al. | 2012 | Breast cancer research |
22303333 | Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans. | Barnholtz-Sloan JS et al. | 2011 | Frontiers in genetics |
22314178 | Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement. | Darabi H et al. | 2012 | Breast cancer research |
22332084 | Research advances at the Institute for Nutritional Sciences at Shanghai, China. | Chen Y et al. | 2011 | Advances in nutrition (Bethesda, Md.) |
22357627 | Evaluation of 19 susceptibility loci of breast cancer in women of African ancestry. | Huo D et al. | 2012 | Carcinogenesis |
22433456 | Reproductive aging-associated common genetic variants and the risk of breast cancer. | He C et al. | 2012 | Breast cancer research |
22452962 | A genome-wide association study identifies a breast cancer risk variant in ERBB4 at 2q34: results from the Seoul Breast Cancer Study. | Kim HC et al. | 2012 | Breast cancer research |
22454379 | Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk. | Vachon CM et al. | 2012 | Cancer epidemiology, biomarkers & prevention |
22532573 | The role of genetic breast cancer susceptibility variants as prognostic factors. | Fasching PA et al. | 2012 | Human molecular genetics |
22726230 | Interactive effect of genetic susceptibility with height, body mass index, and hormone replacement therapy on the risk of breast cancer. | Harlid S et al. | 2012 | BMC women's health |
22747683 | Genetic variants associated with breast size also influence breast cancer risk. | Eriksson N et al. | 2012 | BMC medical genetics |
22778704 | The association between single-nucleotide polymorphisms of ORAI1 gene and breast cancer in a Taiwanese population. | Chang WC et al. | 2012 | TheScientificWorldJournal |
22867275 | Genetic predisposition, parity, age at first childbirth and risk for breast cancer. | Butt S et al. | 2012 | BMC research notes |
22910930 | Genome-Wide Association Studies (GWAS) breast cancer susceptibility loci in Arabs: susceptibility and prognostic implications in Tunisians. | Shan J et al. | 2012 | Breast cancer research and treatment |
22926736 | Low penetrance alleles as risk modifiers in familial and sporadic breast cancer. | Esteban Cardeñosa E et al. | 2012 | Familial cancer |
22965832 | Association of common genetic variants with breast cancer risk and clinicopathological characteristics in a Chinese population. | Chan M et al. | 2012 | Breast cancer research and treatment |
22972951 | Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor status. | Hüsing A et al. | 2012 | Journal of medical genetics |
23107584 | Identifying breast cancer risk loci by global differential allele-specific expression (DASE) analysis in mammary epithelial transcriptome. | Gao C et al. | 2012 | BMC genomics |
23136140 | Genetic susceptibility loci for subtypes of breast cancer in an African American population. | Palmer JR et al. | 2013 | Cancer epidemiology, biomarkers & prevention |
23143756 | Associations of polymorphisms in the genes of FGFR2, FGF1, and RBFOX2 with breast cancer risk by estrogen/progesterone receptor status. | Cen YL et al. | 2013 | Molecular carcinogenesis |
23184080 | Assessing interactions between the associations of fibroblast growth factor receptor 2 common genetic variants and hormone receptor status with breast cancer risk. | Wang H et al. | 2013 | Breast cancer research and treatment |
23221726 | Gene-environment interactions for breast cancer risk among Chinese women: a report from the Shanghai Breast Cancer Genetics Study. | Li H et al. | 2013 | American journal of epidemiology |
23225170 | Genetic variants in FGFR2 and MAP3K1 are associated with the risk of familial and early-onset breast cancer in a South-American population. | Jara L et al. | 2013 | Breast cancer research and treatment |
23354978 | Genetic variants associated with breast cancer risk for Ashkenazi Jewish women with strong family histories but no identifiable BRCA1/2 mutation. | Rinella ES et al. | 2013 | Human genetics |
23435034 | Breast cancer susceptibility associated with rs1219648 (fibroblast growth factor receptor 2) and postmenopausal hormone therapy use in a population-based United States study. | Andersen SW et al. | 2013 | Menopause (New York, N.Y.) |
23462807 | Single-nucleotide polymorphisms associated with outcome in metastatic renal cell carcinoma treated with sunitinib. | Beuselinck B et al. | 2013 | British journal of cancer |
23486537 | Comparison of genetic variation of breast cancer susceptibility genes in Chinese and German populations. | Barzan D et al. | 2013 | European journal of human genetics |
23535825 | Common genetic determinants of breast-cancer risk in East Asian women: a collaborative study of 23 637 breast cancer cases and 25 579 controls. | Zheng W et al. | 2013 | Human molecular genetics |
23544014 | Evidence of gene-environment interactions between common breast cancer susceptibility loci and established environmental risk factors. | Nickels S et al. | 2013 | PLoS genetics |
23593120 | Evaluating genome-wide association study-identified breast cancer risk variants in African-American women. | Long J et al. | 2013 | PloS one |
23635555 | The relationship between eight GWAS-identified single-nucleotide polymorphisms and primary breast cancer outcomes. | Bayraktar S et al. | 2013 | The oncologist |
23650637 | Deconvoluting complex tissues for expression quantitative trait locus-based analyses. | Seo JH et al. | 2013 | Philosophical transactions of the Royal Society of London. Series B, Biological sciences |
23717390 | Identification of a breast cancer susceptibility locus at 4q31.22 using a genome-wide association study paradigm. | Sapkota Y et al. | 2013 | PloS one |
23776363 | The genetics of breast cancer: risk factors for disease. | Collins A et al. | 2011 | The application of clinical genetics |
23893088 | The associations between a polygenic score, reproductive and menstrual risk factors and breast cancer risk. | Warren Andersen S et al. | 2013 | Breast cancer research and treatment |
23912956 | Associations with growth factor genes (FGF1, FGF2, PDGFB, FGFR2, NRG2, EGF, ERBB2) with breast cancer risk and survival: the Breast Cancer Health Disparities Study. | Slattery ML et al. | 2013 | Breast cancer research and treatment |
23949966 | Search for genetic modifiers of IRF6 and genotype-phenotype correlations in Van der Woude and popliteal pterygium syndromes. | Leslie EJ et al. | 2013 | American journal of medical genetics. Part A |
24025454 | Hereditary breast cancer: ever more pieces to the polygenic puzzle. | Bogdanova N et al. | 2013 | Hereditary cancer in clinical practice |
24054997 | Association between rs2981582 polymorphism in the FGFR2 gene and the risk of breast cancer in Mexican women. | Murillo-Zamora E et al. | 2013 | Archives of medical research |
24171766 | Common low-penetrance risk variants associated with breast cancer in Polish women. | Ledwoń JK et al. | 2013 | BMC cancer |
24218030 | Replication of breast cancer susceptibility loci in whites and African Americans using a Bayesian approach. | O'Brien KM et al. | 2014 | American journal of epidemiology |
24266904 | Breast cancer prediction using genome wide single nucleotide polymorphism data. | Hajiloo M et al. | 2013 | BMC bioinformatics |
24340245 | Adiposity, inflammation, genetic variants and risk of post-menopausal breast cancer findings from a prospective-specimen-collection, retrospective-blinded-evaluation (PRoBE) design approach. | Yan XS et al. | 2013 | SpringerPlus |
24359602 | Common breast cancer risk variants in the post-COGS era: a comprehensive review. | Maxwell KN et al. | 2013 | Breast cancer research |
24373701 | Breast cancer susceptibility loci in association with age at menarche, age at natural menopause and the reproductive lifespan. | Warren Andersen S et al. | 2014 | Cancer epidemiology |
24454457 | Case-control study on the fibroblast growth factor receptor 2 gene polymorphisms associated with breast cancer in chinese han women. | Liu CL et al. | 2013 | Journal of breast cancer |
24510657 | Evaluating 17 breast cancer susceptibility loci in the Nashville breast health study. | Han MR et al. | 2015 | Breast cancer (Tokyo, Japan) |
24771903 | Breast Cancer Risk - From Genetics to Molecular Understanding of Pathogenesis. | Fasching PA et al. | 2013 | Geburtshilfe und Frauenheilkunde |
24792587 | Reproductive windows, genetic loci, and breast cancer risk. | Warren Andersen S et al. | 2014 | Annals of epidemiology |
24832084 | Cross-cancer pleiotropic analysis of endometrial cancer: PAGE and E2C2 consortia. | Setiawan VW et al. | 2014 | Carcinogenesis |
24895409 | Post-GWAS gene-environment interplay in breast cancer: results from the Breast and Prostate Cancer Cohort Consortium and a meta-analysis on 79,000 women. | Barrdahl M et al. | 2014 | Human molecular genetics |
24941967 | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population. | Lee CP et al. | 2014 | Breast cancer research |
25027274 | Testing calibration of risk models at extremes of disease risk. | Song M et al. | 2015 | Biostatistics (Oxford, England) |
25057183 | A robust association test for detecting genetic variants with heterogeneous effects. | Yu K et al. | 2015 | Biostatistics (Oxford, England) |
25253900 | Breast Cancer Risk - Genes, Environment and Clinics. | Fasching PA et al. | 2011 | Geburtshilfe und Frauenheilkunde |
25255808 | Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium. | Joshi AD et al. | 2014 | American journal of epidemiology |
25270516 | Association of physical activity and polymorphisms in FGFR2 and DNA methylation related genes with breast cancer risk. | Xi J et al. | 2014 | Cancer epidemiology |
25333473 | A study on genetic variants of Fibroblast growth factor receptor 2 (FGFR2) and the risk of breast cancer from North India. | Siddiqui S et al. | 2014 | PloS one |
25611573 | Association of breast cancer risk loci with breast cancer survival. | Barrdahl M et al. | 2015 | International journal of cancer |
25677745 | Rationale for targeting fibroblast growth factor receptor signaling in breast cancer. | André F et al. | 2015 | Breast cancer research and treatment |
26070784 | Genetic risk variants associated with in situ breast cancer. | Campa D et al. | 2015 | Breast cancer research |
26113264 | Functional annotation of HOT regions in the human genome: implications for human disease and cancer. | Li H et al. | 2015 | Scientific reports |
26157456 | Using parental phenotypes in case-parent studies. | Shi M et al. | 2015 | Frontiers in genetics |
26379965 | Associations of immunity-related single nucleotide polymorphisms with overall survival among prostate cancer patients. | Miles FL et al. | 2015 | International journal of clinical and experimental medicine |
26421298 | Heterogeneity of Breast Cancer Associations with Common Genetic Variants in FGFR2 according to the Intrinsic Subtypes in Southern Han Chinese Women. | Liang H et al. | 2015 | BioMed research international |
26559640 | Automated amplicon design suitable for analysis of DNA variants by melting techniques. | Ekstrøm PO et al. | 2015 | BMC research notes |
26728143 | Variants of FGFR2 and their associations with breast cancer risk: a HUGE systematic review and meta-analysis. | Cui F et al. | 2016 | Breast cancer research and treatment |
26770289 | Association of polymorphisms with a family history of cancer and the presence of germline mutations in the BRCA1/BRCA2 genes. | Fernandes GC et al. | 2016 | Hereditary cancer in clinical practice |
26803517 | Relationship between five GWAS-identified single nucleotide polymorphisms and female breast cancer in the Chinese Han population. | He Y et al. | 2016 | Tumour biology |
26866629 | Using family members to augment genetic case-control studies of a life-threatening disease. | Chen L et al. | 2016 | Statistics in medicine |
26884359 | Genetic predisposition to ductal carcinoma in situ of the breast. | Petridis C et al. | 2016 | Breast cancer research |
26911390 | TNRC9 rs12443621 and FGFR2 rs2981582 polymorphisms and breast cancer risk. | Chen Y et al. | 2016 | World journal of surgical oncology |
27079684 | Genome-wide association studies and epigenome-wide association studies go together in cancer control. | Verma M et al. | 2016 | Future oncology (London, England) |
27121612 | Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature. | Singhal A et al. | 2016 | Journal of the American Medical Informatics Association |
27236187 | FGFR2 risk SNPs confer breast cancer risk by augmenting oestrogen responsiveness. | Campbell TM et al. | 2016 | Carcinogenesis |
27572905 | Genetic variants in FGFR2 and TNRC9 genes are associated with breast cancer risk in Pakistani women. | Mazhar A et al. | 2016 | Molecular medicine reports |
27708667 | Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes. | Ruiz-Narváez EA et al. | 2016 | Frontiers in genetics |
27825120 | Trans-ethnic follow-up of breast cancer GWAS hits using the preferential linkage disequilibrium approach. | Zhu Q et al. | 2016 | Oncotarget |
28098224 | Association of Genome-Wide Association Study (GWAS) Identified SNPs and Risk of Breast Cancer in an Indian Population. | Nagrani R et al. | 2017 | Scientific reports |
28117391 | Functional PTGS2 polymorphism-based models as novel predictive markers in metastatic renal cell carcinoma patients receiving first-line sunitinib. | Cebrián A et al. | 2017 | Scientific reports |
28178648 | Polymorphisms of ESR1, UGT1A1, HCN1, MAP3K1 and CYP2B6 are associated with the prognosis of hormone receptor-positive early breast cancer. | Kuo SH et al. | 2017 | Oncotarget |
28205043 | A polygenic risk score for breast cancer risk in a Taiwanese population. | Hsieh YC et al. | 2017 | Breast cancer research and treatment |
28521414 | Association of FGFR2 rs2981582, SIRT1 rs12778366, STAT3 rs744166 gene polymorphisms with pituitary adenoma. | Glebauskiene B et al. | 2017 | Oncology letters |
28757652 | Genetic Breast Cancer Susceptibility Variants and Prognosis in the Prospectively Randomized SUCCESS A Study. | Hein A et al. | 2017 | Geburtshilfe und Frauenheilkunde |
28985766 | Mutations in BRCA1, BRCA2 and other breast and ovarian cancer susceptibility genes in Central and South American populations. | Jara L et al. | 2017 | Biological research |
29104507 | Fibroblast Growth Factor Receptor 2 Signaling in Breast Cancer. | Lei H et al. | 2017 | International journal of biological sciences |
29372690 | Association of single nucleotide polymorphisms in FGF-RAS/MAP signalling cascade with breast cancer susceptibility. | Dankova Z et al. | 2017 | General physiology and biophysics |
29382703 | Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future. | Lilyquist J et al. | 2018 | Cancer epidemiology, biomarkers & prevention |
29433565 | Genetic determinants of sporadic breast cancer in Sri Lankan women. | Sirisena ND et al. | 2018 | BMC cancer |
29560110 | Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese. | Chan CHT et al. | 2018 | Oncotarget |
29652634 | Emerging applications of genome-editing technology to examine functionality of GWAS-associated variants for complex traits. | Smith AJP et al. | 2018 | Physiological genomics |
29709729 | Smoking and FGFR2 rs2981582 variant independently modulate male breast cancer survival: A population-based study in Tuscany, Italy. | Zanna I et al. | 2018 | Breast (Edinburgh, Scotland) |
29872343 | Association of FGFR2 and PI3KCA genetic variants with the risk of breast cancer in a Chinese population. | Wang Y et al. | 2018 | Cancer management and research |
30206133 | FGFR2 gene polymorphism rs2981582 is associated with non-functioning pituitary adenomas in Chinese Han population: a case-control study. | Zhu B et al. | 2018 | Bioscience reports |
30285756 | Subtype-specific associations between breast cancer risk polymorphisms and the survival of early-stage breast cancer. | Fu F et al. | 2018 | Journal of translational medicine |
30359238 | Effects of FGFR gene polymorphisms on response and toxicity of cyclophosphamide-epirubicin-docetaxel-based chemotherapy in breast cancer patients. | Chen L et al. | 2018 | BMC cancer |
30399423 | SIRT1 rs12778366, FGFR2 rs2981582, STAT3 rs744166, LIPC rs10468017, rs493258 and LPL rs12678919 genotypes and haplotype evaluation in patients with age-related macular degeneration. | Liutkeviciene R et al. | 2019 | Gene |
30527746 | Fibroblast Growth Factor Receptor-2 Polymorphism rs2981582 is Correlated With Progression-free Survival and Overall Survival in Patients With Metastatic Clear-cell Renal Cell Carcinoma Treated With Sunitinib. | Vanmechelen M et al. | 2019 | Clinical genitourinary cancer |
30594178 | A genome wide SNP genotyping study in the Tunisian population: specific reporting on a subset of common breast cancer risk loci. | Hamdi Y et al. | 2018 | BMC cancer |
30781715 | Genetic Epidemiology of Breast Cancer in Latin America. | Zavala VA et al. | 2019 | Genes |
31002855 | Predictive accuracy of the breast cancer genetic risk model based on eight common genetic variants: The BACkSIDE study. | Danková Z et al. | 2019 | Journal of biotechnology |
31113874 | The association of genetic variants in FGFR2 with osteoporosis susceptibility in Chinese Han population. | Yang Y et al. | 2019 | Bioscience reports |
31125336 | Evaluation of significant genome-wide association studies risk - SNPs in young breast cancer patients. | Rath M et al. | 2019 | PloS one |
31142340 | FGFs/FGFRs-dependent signalling in regulation of steroid hormone receptors - implications for therapy of luminal breast cancer. | Piasecka D et al. | 2019 | Journal of experimental & clinical cancer research |
31199170 | Does CETP rs5882, rs708272, SIRT1 rs12778366, FGFR2 rs2981582, STAT3 rs744166, VEGFA rs833068, IL6 rs1800795 polymorphisms play a role in optic neuritis development? | Gedvilaite G et al. | 2019 | Ophthalmic genetics |
31448667 | Correlation of FGFR2 rs2981582 polymorphisms with susceptibility to breast cancer: a case-control study in a Chinese population. | Shu J et al. | 2019 | The Journal of international medical research |
31759353 | P21 Ser31Arg and FGFR2 rs2981582 Polymorphisms as Risk Factors for Early Onset of Breast Cancer in Yogyakarta, Indonesia. | Purnomosari D et al. | 2019 | Asian Pacific journal of cancer prevention |
31781300 | Determination of SIRT1 rs12778366, FGFR2 rs2981582, STAT3 rs744166, and RAGE rs1800625 Single Gene Polymorphisms in Patients with Laryngeal Squamous Cell Carcinoma. | Uloza V et al. | 2019 | Disease markers |
32269954 | Copy number alternations of the 17q23-rs6504950 locus are associated with advanced breast cancers in Taiwanese women. | Lin CY et al. | 2020 | Ci ji yi xue za zhi = Tzu-chi medical journal |
32287273 | DOT: Gene-set analysis by combining decorrelated association statistics. | Vsevolozhskaya OA et al. | 2020 | PLoS computational biology |
32366738 | Low-penetrance susceptibility variants and postmenopausal oestrogen receptor positive breast cancer. | Özgöz A et al. | 2020 | Journal of genetics |
32487238 | MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India. | Shah R et al. | 2020 | BMC cancer |
32547144 | Genetic Association of SH2B1 Gene Polymorphisms in Jordanian Arab Patients with Type 2 Diabetes Mellitus. | Al-Eitan LN et al. | 2020 | Diabetes, metabolic syndrome and obesity |
32706340 | Tendencies of FGFR2 rs2981582 polymorphism in patients with oral cancer. | Liutkevicius V et al. | 2020 | Stomatologija |
32894086 | MassARRAY-based single nucleotide polymorphism analysis in breast cancer of north Indian population. | Bakshi D et al. | 2020 | BMC cancer |
33081025 | The FGF/FGFR System in Breast Cancer: Oncogenic Features and Therapeutic Perspectives. | Santolla MF et al. | 2020 | Cancers |
33112566 | The Associations of Common Genetic Susceptibility Variants with Breast Cancer in Jordanian Arabs: A Case-Control Study. | Al-Eitan LN et al. | 2020 | Asian Pacific journal of cancer prevention |
33126731 | Genomic Diversity in Sporadic Breast Cancer in a Latin American Population. | Brignoni L et al. | 2020 | Genes |
33659210 | A Review of Cancer Genetics and Genomics Studies in Africa. | Rotimi SO et al. | 2020 | Frontiers in oncology |
33740609 | Genetic polymorphism of fibroblast growth factor receptor 2 and trinucleotide repeat-containing 9 influence the susceptibility to HCV-induced hepatocellular carcinoma. | Al-Khaykanee AM et al. | 2021 | Clinics and research in hepatology and gastroenterology |
33762959 | Meta-Analysis of ABCG2 and ABCB1 Polymorphisms With Sunitinib-Induced Toxicity and Efficacy in Renal Cell Carcinoma. | Sun F et al. | 2021 | Frontiers in pharmacology |
34359697 | A Personal Breast Cancer Risk Stratification Model Using Common Variants and Environmental Risk Factors in Japanese Females. | Oze I et al. | 2021 | Cancers |
34514747 | Activation of FGFR2 Signaling Suppresses BRCA1 and Drives Triple-Negative Mammary Tumorigenesis That is Sensitive to Immunotherapy. | Lei JH et al. | 2021 | Advanced science (Weinheim, Baden-Wurttemberg, Germany) |
34759736 | Fibroblast growth factor receptor 2 gene (FGFR2) rs2981582T/C polymorphism and susceptibility to breast cancer in Saudi women. | AlRaddadi RIR et al. | 2021 | Saudi journal of biological sciences |
34830836 | Biological Significance and Targeting of the FGFR Axis in Cancer. | Chioni AM et al. | 2021 | Cancers |
35395775 | Development and validation of polygenic risk scores for prediction of breast cancer and breast cancer subtypes in Chinese women. | Hou C et al. | 2022 | BMC cancer |
35406617 | Germline Variants in Angiogenesis-Related Genes Contribute to Clinical Outcome in Head and Neck Squamous Cell Carcinoma. | Butkiewicz D et al. | 2022 | Cancers |
35672017 | COL1A1 and FGFR2 Single-Nucleotide Polymorphisms Found in Class II and Class III Skeletal Malocclusions in Javanese Population. | Ardani IGAW et al. | 2023 | European journal of dentistry |
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.