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.
rs2293347
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr7:55201223 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- C>G / C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.091031 (24095/264690, TOPMED)T=0.137456 (34569/251492, GnomAD_exome)T=0.100731 (24254/240780, ALFA) (+ 27 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- EGFR : Missense Variant
- Publications
- 20 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 | 257134 | C=0.900865 | T=0.099135 |
European | Sub | 211862 | C=0.901233 | T=0.098767 |
African | Sub | 13672 | C=0.97264 | T=0.02736 |
African Others | Sub | 468 | C=0.987 | T=0.013 |
African American | Sub | 13204 | C=0.97213 | T=0.02787 |
Asian | Sub | 840 | C=0.745 | T=0.255 |
East Asian | Sub | 632 | C=0.729 | T=0.271 |
Other Asian | Sub | 208 | C=0.793 | T=0.207 |
Latin American 1 | Sub | 1344 | C=0.9308 | T=0.0692 |
Latin American 2 | Sub | 9078 | C=0.8620 | T=0.1380 |
South Asian | Sub | 5058 | C=0.7772 | T=0.2228 |
Other | Sub | 15280 | C=0.90151 | T=0.09849 |
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 | C=0.908969 | T=0.091031 |
gnomAD - Exomes | Global | Study-wide | 251492 | C=0.862544 | T=0.137456 |
gnomAD - Exomes | European | Sub | 135416 | C=0.885339 | T=0.114661 |
gnomAD - Exomes | Asian | Sub | 49008 | C=0.75604 | T=0.24396 |
gnomAD - Exomes | American | Sub | 34592 | C=0.84956 | T=0.15044 |
gnomAD - Exomes | African | Sub | 16256 | C=0.97638 | T=0.02362 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 10080 | C=0.92688 | T=0.07312 |
gnomAD - Exomes | Other | Sub | 6140 | C=0.8761 | T=0.1239 |
Allele Frequency Aggregator | Total | Global | 240780 | C=0.899269 | T=0.100731 |
Allele Frequency Aggregator | European | Sub | 201780 | C=0.901145 | T=0.098855 |
Allele Frequency Aggregator | Other | Sub | 13846 | C=0.90134 | T=0.09866 |
Allele Frequency Aggregator | Latin American 2 | Sub | 9078 | C=0.8620 | T=0.1380 |
Allele Frequency Aggregator | African | Sub | 8834 | C=0.9712 | T=0.0288 |
Allele Frequency Aggregator | South Asian | Sub | 5058 | C=0.7772 | T=0.2228 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1344 | C=0.9308 | T=0.0692 |
Allele Frequency Aggregator | Asian | Sub | 840 | C=0.745 | T=0.255 |
gnomAD - Genomes | Global | Study-wide | 140172 | C=0.908091 | T=0.091909 |
gnomAD - Genomes | European | Sub | 75906 | C=0.88722 | T=0.11278 |
gnomAD - Genomes | African | Sub | 42020 | C=0.97185 | T=0.02815 |
gnomAD - Genomes | American | Sub | 13654 | C=0.86524 | T=0.13476 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | C=0.9275 | T=0.0725 |
gnomAD - Genomes | East Asian | Sub | 3126 | C=0.7287 | T=0.2713 |
gnomAD - Genomes | Other | Sub | 2142 | C=0.9020 | T=0.0980 |
ExAC | Global | Study-wide | 121388 | C=0.866288 | T=0.133712 |
ExAC | Europe | Sub | 73340 | C=0.89112 | T=0.10888 |
ExAC | Asian | Sub | 25160 | C=0.75735 | T=0.24265 |
ExAC | American | Sub | 11578 | C=0.84764 | T=0.15236 |
ExAC | African | Sub | 10402 | C=0.97674 | T=0.02326 |
ExAC | Other | Sub | 908 | C=0.851 | T=0.149 |
The PAGE Study | Global | Study-wide | 78702 | C=0.89463 | T=0.10537 |
The PAGE Study | AfricanAmerican | Sub | 32516 | C=0.97112 | T=0.02888 |
The PAGE Study | Mexican | Sub | 10810 | C=0.84820 | T=0.15180 |
The PAGE Study | Asian | Sub | 8318 | C=0.6809 | T=0.3191 |
The PAGE Study | PuertoRican | Sub | 7918 | C=0.8813 | T=0.1187 |
The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.8772 | T=0.1228 |
The PAGE Study | Cuban | Sub | 4230 | C=0.9149 | T=0.0851 |
The PAGE Study | Dominican | Sub | 3828 | C=0.9357 | T=0.0643 |
The PAGE Study | CentralAmerican | Sub | 2450 | C=0.8592 | T=0.1408 |
The PAGE Study | SouthAmerican | Sub | 1982 | C=0.8567 | T=0.1433 |
The PAGE Study | NativeAmerican | Sub | 1260 | C=0.8849 | T=0.1151 |
The PAGE Study | SouthAsian | Sub | 856 | C=0.787 | T=0.213 |
14KJPN | JAPANESE | Study-wide | 28258 | C=0.66841 | T=0.33159 |
8.3KJPN | JAPANESE | Study-wide | 16758 | C=0.66989 | T=0.33011 |
GO Exome Sequencing Project | Global | Study-wide | 13006 | C=0.92957 | T=0.07043 |
GO Exome Sequencing Project | European American | Sub | 8600 | C=0.9076 | T=0.0924 |
GO Exome Sequencing Project | African American | Sub | 4406 | C=0.9725 | T=0.0275 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.8618 | T=0.1382 |
1000Genomes_30x | African | Sub | 1786 | C=0.9882 | T=0.0118 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.8878 | T=0.1122 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.7654 | T=0.2346 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.7573 | T=0.2427 |
1000Genomes_30x | American | Sub | 980 | C=0.841 | T=0.159 |
1000Genomes | Global | Study-wide | 5008 | C=0.8582 | T=0.1418 |
1000Genomes | African | Sub | 1322 | C=0.9871 | T=0.0129 |
1000Genomes | East Asian | Sub | 1008 | C=0.7530 | T=0.2470 |
1000Genomes | Europe | Sub | 1006 | C=0.8887 | T=0.1113 |
1000Genomes | South Asian | Sub | 978 | C=0.770 | T=0.230 |
1000Genomes | American | Sub | 694 | C=0.846 | T=0.154 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.8924 | T=0.1076 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.8962 | T=0.1038 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.8916 | T=0.1084 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.6608 | T=0.3392 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | C=0.8287 | T=0.1713 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | C=0.674 | T=0.326 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | C=0.809 | T=0.191 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | C=0.909 | T=0.091 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | C=0.891 | T=0.109 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | C=0.996 | T=0.004 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | C=0.796 | T=0.204 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | C=0.82 | T=0.18 |
Korean Genome Project | KOREAN | Study-wide | 1832 | C=0.6665 | T=0.3335 |
HapMap | Global | Study-wide | 1712 | C=0.8744 | T=0.1256 |
HapMap | American | Sub | 770 | C=0.840 | T=0.160 |
HapMap | African | Sub | 512 | C=0.988 | T=0.012 |
HapMap | Asian | Sub | 254 | C=0.705 | T=0.295 |
HapMap | Europe | Sub | 176 | C=0.938 | T=0.062 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.896 | T=0.104 |
CNV burdens in cranial meningiomas | Global | Study-wide | 786 | C=0.702 | T=0.298 |
CNV burdens in cranial meningiomas | CRM | Sub | 786 | C=0.702 | T=0.298 |
Chileans | Chilean | Study-wide | 626 | C=0.899 | T=0.101 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 614 | C=0.795 | T=0.205 |
Northern Sweden | ACPOP | Study-wide | 600 | C=0.865 | T=0.135 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.901 | T=0.099 |
FINRISK | Finnish from FINRISK project | Study-wide | 304 | C=0.803 | T=0.197 |
Qatari | Global | Study-wide | 216 | C=0.949 | T=0.051 |
SGDP_PRJ | Global | Study-wide | 176 | C=0.449 | T=0.551 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 84 | C=0.79 | T=0.21 |
The Danish reference pan genome | Danish | Study-wide | 40 | C=0.97 | T=0.03 |
Siberian | Global | Study-wide | 24 | C=0.46 | T=0.54 |
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 7 | NC_000007.14:g.55201223C>G |
GRCh38.p14 chr 7 | NC_000007.14:g.55201223C>T |
GRCh37.p13 chr 7 | NC_000007.13:g.55268916C>G |
GRCh37.p13 chr 7 | NC_000007.13:g.55268916C>T |
EGFR RefSeqGene (LRG_304) | NG_007726.3:g.187192C>G |
EGFR RefSeqGene (LRG_304) | NG_007726.3:g.187192C>T |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
EGFR transcript variant 2 | NM_201282.2:c. | N/A | Genic Downstream Transcript Variant |
EGFR transcript variant 3 | NM_201283.2:c. | N/A | Genic Downstream Transcript Variant |
EGFR transcript variant 4 | NM_201284.2:c. | N/A | Genic Downstream Transcript Variant |
EGFR transcript variant 1 | NM_005228.5:c.2982C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform a precursor | NP_005219.2:p.Asp994Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant 1 | NM_005228.5:c.2982C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform a precursor | NP_005219.2:p.Asp994= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant 6 | NM_001346898.2:c.2982C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform f precursor | NP_001333827.1:p.Asp994Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant 6 | NM_001346898.2:c.2982C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform f precursor | NP_001333827.1:p.Asp994= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant EGFRvIII | NM_001346941.2:c.2181C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform i precursor | NP_001333870.1:p.Asp727Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant EGFRvIII | NM_001346941.2:c.2181C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform i precursor | NP_001333870.1:p.Asp727= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant 8 | NM_001346900.2:c.2823C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform h | NP_001333829.1:p.Asp941Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant 8 | NM_001346900.2:c.2823C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform h | NP_001333829.1:p.Asp941= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant 5 | NM_001346897.2:c.2847C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform e precursor | NP_001333826.1:p.Asp949Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant 5 | NM_001346897.2:c.2847C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform e precursor | NP_001333826.1:p.Asp949= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant 7 | NM_001346899.2:c.2847C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform g precursor | NP_001333828.1:p.Asp949Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant 7 | NM_001346899.2:c.2847C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform g precursor | NP_001333828.1:p.Asp949= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant X1 | XM_047419952.1:c.2823C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform X1 | XP_047275908.1:p.Asp941Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant X1 | XM_047419952.1:c.2823C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform X1 | XP_047275908.1:p.Asp941= | D (Asp) > D (Asp) | Synonymous Variant |
EGFR transcript variant X2 | XM_047419953.1:c.2823C>G | D [GAC] > E [GAG] | Coding Sequence Variant |
epidermal growth factor receptor isoform X1 | XP_047275909.1:p.Asp941Glu | D (Asp) > E (Glu) | Missense Variant |
EGFR transcript variant X2 | XM_047419953.1:c.2823C>T | D [GAC] > D [GAT] | Coding Sequence Variant |
epidermal growth factor receptor isoform X1 | XP_047275909.1:p.Asp941= | D (Asp) > D (Asp) | Synonymous 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 |
---|---|---|
RCV000248744.1 | not specified | Benign |
RCV001510928.4 | EGFR-related lung cancer | Benign |
RCV001709543.1 | not provided | 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 | C= | G | T |
---|---|---|---|
GRCh38.p14 chr 7 | NC_000007.14:g.55201223= | NC_000007.14:g.55201223C>G | NC_000007.14:g.55201223C>T |
GRCh37.p13 chr 7 | NC_000007.13:g.55268916= | NC_000007.13:g.55268916C>G | NC_000007.13:g.55268916C>T |
EGFR RefSeqGene (LRG_304) | NG_007726.3:g.187192= | NG_007726.3:g.187192C>G | NG_007726.3:g.187192C>T |
EGFR transcript variant 1 | NM_005228.5:c.2982= | NM_005228.5:c.2982C>G | NM_005228.5:c.2982C>T |
EGFR transcript variant 1 | NM_005228.4:c.2982= | NM_005228.4:c.2982C>G | NM_005228.4:c.2982C>T |
EGFR transcript variant 1 | NM_005228.3:c.2982= | NM_005228.3:c.2982C>G | NM_005228.3:c.2982C>T |
EGFR transcript variant 7 | NM_001346899.2:c.2847= | NM_001346899.2:c.2847C>G | NM_001346899.2:c.2847C>T |
EGFR transcript variant 7 | NM_001346899.1:c.2847= | NM_001346899.1:c.2847C>G | NM_001346899.1:c.2847C>T |
EGFR transcript variant 8 | NM_001346900.2:c.2823= | NM_001346900.2:c.2823C>G | NM_001346900.2:c.2823C>T |
EGFR transcript variant 8 | NM_001346900.1:c.2823= | NM_001346900.1:c.2823C>G | NM_001346900.1:c.2823C>T |
EGFR transcript variant EGFRvIII | NM_001346941.2:c.2181= | NM_001346941.2:c.2181C>G | NM_001346941.2:c.2181C>T |
EGFR transcript variant EGFRvIII | NM_001346941.1:c.2181= | NM_001346941.1:c.2181C>G | NM_001346941.1:c.2181C>T |
EGFR transcript variant 6 | NM_001346898.2:c.2982= | NM_001346898.2:c.2982C>G | NM_001346898.2:c.2982C>T |
EGFR transcript variant 6 | NM_001346898.1:c.2982= | NM_001346898.1:c.2982C>G | NM_001346898.1:c.2982C>T |
EGFR transcript variant 5 | NM_001346897.2:c.2847= | NM_001346897.2:c.2847C>G | NM_001346897.2:c.2847C>T |
EGFR transcript variant 5 | NM_001346897.1:c.2847= | NM_001346897.1:c.2847C>G | NM_001346897.1:c.2847C>T |
EGFR transcript variant X1 | XM_047419952.1:c.2823= | XM_047419952.1:c.2823C>G | XM_047419952.1:c.2823C>T |
EGFR transcript variant X2 | XM_047419953.1:c.2823= | XM_047419953.1:c.2823C>G | XM_047419953.1:c.2823C>T |
epidermal growth factor receptor isoform a precursor | NP_005219.2:p.Asp994= | NP_005219.2:p.Asp994Glu | NP_005219.2:p.Asp994= |
epidermal growth factor receptor isoform g precursor | NP_001333828.1:p.Asp949= | NP_001333828.1:p.Asp949Glu | NP_001333828.1:p.Asp949= |
epidermal growth factor receptor isoform h | NP_001333829.1:p.Asp941= | NP_001333829.1:p.Asp941Glu | NP_001333829.1:p.Asp941= |
epidermal growth factor receptor isoform i precursor | NP_001333870.1:p.Asp727= | NP_001333870.1:p.Asp727Glu | NP_001333870.1:p.Asp727= |
epidermal growth factor receptor isoform f precursor | NP_001333827.1:p.Asp994= | NP_001333827.1:p.Asp994Glu | NP_001333827.1:p.Asp994= |
epidermal growth factor receptor isoform e precursor | NP_001333826.1:p.Asp949= | NP_001333826.1:p.Asp949Glu | NP_001333826.1:p.Asp949= |
epidermal growth factor receptor isoform X1 | XP_047275908.1:p.Asp941= | XP_047275908.1:p.Asp941Glu | XP_047275908.1:p.Asp941= |
epidermal growth factor receptor isoform X1 | XP_047275909.1:p.Asp941= | XP_047275909.1:p.Asp941Glu | XP_047275909.1:p.Asp941= |
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 | ss3236359 | Sep 28, 2001 (100) |
2 | SC_SNP | ss14749365 | Dec 05, 2003 (120) |
3 | PERLEGEN | ss24018399 | Sep 20, 2004 (123) |
4 | EGP_SNPS | ss24779036 | Sep 20, 2004 (126) |
5 | SI_EXO | ss52075255 | Oct 13, 2006 (127) |
6 | ILLUMINA | ss65741731 | Oct 13, 2006 (127) |
7 | AFFY | ss66074171 | Nov 29, 2006 (127) |
8 | ILLUMINA | ss66806728 | Nov 29, 2006 (127) |
9 | EGP_SNPS | ss66861671 | Nov 29, 2006 (127) |
10 | ILLUMINA | ss67243503 | Nov 29, 2006 (127) |
11 | ILLUMINA | ss67640364 | Nov 29, 2006 (127) |
12 | ILLUMINA | ss70721844 | May 26, 2008 (130) |
13 | ILLUMINA | ss71290285 | May 16, 2007 (127) |
14 | CANCER-GENOME | ss74802383 | Dec 07, 2007 (129) |
15 | ILLUMINA | ss75852465 | Dec 07, 2007 (129) |
16 | AFFY | ss76007561 | Dec 09, 2007 (130) |
17 | CGM_KYOTO | ss76866724 | Dec 07, 2007 (129) |
18 | ILLUMINA | ss79127551 | Dec 16, 2007 (130) |
19 | KRIBB_YJKIM | ss84025564 | Dec 16, 2007 (130) |
20 | CORNELL | ss86239762 | Mar 23, 2008 (129) |
21 | CNG | ss95210613 | Mar 25, 2008 (129) |
22 | SNP500CANCER | ss105434890 | Feb 06, 2009 (130) |
23 | 1000GENOMES | ss112044549 | Jan 25, 2009 (130) |
24 | ILLUMINA | ss121991282 | Dec 01, 2009 (131) |
25 | ILLUMINA | ss153900756 | Dec 01, 2009 (131) |
26 | GMI | ss154833131 | Dec 01, 2009 (131) |
27 | ILLUMINA | ss159378572 | Dec 01, 2009 (131) |
28 | SEATTLESEQ | ss159714802 | Dec 01, 2009 (131) |
29 | ILLUMINA | ss160531266 | Dec 01, 2009 (131) |
30 | COMPLETE_GENOMICS | ss166625559 | Jul 04, 2010 (132) |
31 | AFFY | ss170329442 | Jul 04, 2010 (132) |
32 | ILLUMINA | ss171171634 | Jul 04, 2010 (132) |
33 | ILLUMINA | ss173263284 | Jul 04, 2010 (132) |
34 | 1000GENOMES | ss233988857 | Jul 15, 2010 (132) |
35 | 1000GENOMES | ss240940159 | Jul 15, 2010 (132) |
36 | ILLUMINA | ss244289566 | Jul 04, 2010 (132) |
37 | GMI | ss279318809 | May 04, 2012 (137) |
38 | PJP | ss293873753 | May 09, 2011 (134) |
39 | NHLBI-ESP | ss342235825 | May 09, 2011 (134) |
40 | ILLUMINA | ss480515396 | May 04, 2012 (137) |
41 | ILLUMINA | ss480529632 | May 04, 2012 (137) |
42 | ILLUMINA | ss481339454 | Sep 08, 2015 (146) |
43 | ILLUMINA | ss485055077 | May 04, 2012 (137) |
44 | 1000GENOMES | ss490945950 | May 04, 2012 (137) |
45 | CLINSEQ_SNP | ss491906502 | May 04, 2012 (137) |
46 | ILLUMINA | ss537072231 | Sep 08, 2015 (146) |
47 | SSMP | ss654384043 | Apr 25, 2013 (138) |
48 | ILLUMINA | ss778863997 | Sep 08, 2015 (146) |
49 | ILLUMINA | ss782973751 | Sep 08, 2015 (146) |
50 | ILLUMINA | ss783935095 | Sep 08, 2015 (146) |
51 | ILLUMINA | ss825458069 | Apr 01, 2015 (144) |
52 | ILLUMINA | ss832230120 | Sep 08, 2015 (146) |
53 | ILLUMINA | ss832890368 | Jul 13, 2019 (153) |
54 | ILLUMINA | ss834324821 | Sep 08, 2015 (146) |
55 | EVA-GONL | ss984303324 | Aug 21, 2014 (142) |
56 | JMKIDD_LAB | ss1067488417 | Aug 21, 2014 (142) |
57 | JMKIDD_LAB | ss1074630988 | Aug 21, 2014 (142) |
58 | 1000GENOMES | ss1325218614 | Aug 21, 2014 (142) |
59 | EVA_GENOME_DK | ss1582214097 | Apr 01, 2015 (144) |
60 | EVA_FINRISK | ss1584052636 | Apr 01, 2015 (144) |
61 | EVA_DECODE | ss1593883993 | Apr 01, 2015 (144) |
62 | EVA_UK10K_ALSPAC | ss1618262894 | Apr 01, 2015 (144) |
63 | EVA_UK10K_TWINSUK | ss1661256927 | Apr 01, 2015 (144) |
64 | EVA_EXAC | ss1688745885 | Apr 01, 2015 (144) |
65 | EVA_MGP | ss1711163758 | Apr 01, 2015 (144) |
66 | EVA_SVP | ss1712957640 | Apr 01, 2015 (144) |
67 | ILLUMINA | ss1752690747 | Sep 08, 2015 (146) |
68 | WEILL_CORNELL_DGM | ss1927546905 | Feb 12, 2016 (147) |
69 | ILLUMINA | ss1959014479 | Feb 12, 2016 (147) |
70 | JJLAB | ss2024460250 | Sep 14, 2016 (149) |
71 | USC_VALOUEV | ss2152656040 | Dec 20, 2016 (150) |
72 | HUMAN_LONGEVITY | ss2294218916 | Dec 20, 2016 (150) |
73 | SYSTEMSBIOZJU | ss2626717410 | Nov 08, 2017 (151) |
74 | ILLUMINA | ss2634609921 | Nov 08, 2017 (151) |
75 | ILLUMINA | ss2635172913 | Nov 08, 2017 (151) |
76 | GRF | ss2708323135 | Nov 08, 2017 (151) |
77 | GNOMAD | ss2736449593 | Nov 08, 2017 (151) |
78 | GNOMAD | ss2747825672 | Nov 08, 2017 (151) |
79 | GNOMAD | ss2853379279 | Nov 08, 2017 (151) |
80 | SWEGEN | ss3001153119 | Nov 08, 2017 (151) |
81 | ILLUMINA | ss3022737633 | Nov 08, 2017 (151) |
82 | BIOINF_KMB_FNS_UNIBA | ss3026026477 | Nov 08, 2017 (151) |
83 | CSHL | ss3347597700 | Nov 08, 2017 (151) |
84 | ILLUMINA | ss3629823468 | Oct 12, 2018 (152) |
85 | ILLUMINA | ss3632517175 | Oct 12, 2018 (152) |
86 | ILLUMINA | ss3633464385 | Oct 12, 2018 (152) |
87 | ILLUMINA | ss3634189346 | Oct 12, 2018 (152) |
88 | ILLUMINA | ss3635122848 | Oct 12, 2018 (152) |
89 | ILLUMINA | ss3635869146 | Oct 12, 2018 (152) |
90 | ILLUMINA | ss3636855060 | Oct 12, 2018 (152) |
91 | ILLUMINA | ss3637622115 | Oct 12, 2018 (152) |
92 | ILLUMINA | ss3638699279 | Oct 12, 2018 (152) |
93 | ILLUMINA | ss3639352448 | Oct 12, 2018 (152) |
94 | ILLUMINA | ss3639704270 | Oct 12, 2018 (152) |
95 | ILLUMINA | ss3640830141 | Oct 12, 2018 (152) |
96 | ILLUMINA | ss3643634850 | Oct 12, 2018 (152) |
97 | OMUKHERJEE_ADBS | ss3646352985 | Oct 12, 2018 (152) |
98 | ILLUMINA | ss3653270190 | Oct 12, 2018 (152) |
99 | EGCUT_WGS | ss3669078874 | Jul 13, 2019 (153) |
100 | EVA_DECODE | ss3719738265 | Jul 13, 2019 (153) |
101 | ILLUMINA | ss3726446867 | Jul 13, 2019 (153) |
102 | ACPOP | ss3734653690 | Jul 13, 2019 (153) |
103 | ILLUMINA | ss3745422894 | Jul 13, 2019 (153) |
104 | EVA | ss3766593891 | Jul 13, 2019 (153) |
105 | PAGE_CC | ss3771372302 | Jul 13, 2019 (153) |
106 | ILLUMINA | ss3772915819 | Jul 13, 2019 (153) |
107 | PACBIO | ss3785824333 | Jul 13, 2019 (153) |
108 | PACBIO | ss3791125624 | Jul 13, 2019 (153) |
109 | PACBIO | ss3796005604 | Jul 13, 2019 (153) |
110 | KHV_HUMAN_GENOMES | ss3809753551 | Jul 13, 2019 (153) |
111 | EVA | ss3824277209 | Apr 26, 2020 (154) |
112 | EVA | ss3825720185 | Apr 26, 2020 (154) |
113 | EVA | ss3830585851 | Apr 26, 2020 (154) |
114 | HGDP | ss3847878072 | Apr 26, 2020 (154) |
115 | SGDP_PRJ | ss3867318343 | Apr 26, 2020 (154) |
116 | KRGDB | ss3914396887 | Apr 26, 2020 (154) |
117 | KOGIC | ss3961507987 | Apr 26, 2020 (154) |
118 | FSA-LAB | ss3984367638 | Apr 26, 2021 (155) |
119 | FSA-LAB | ss3984367639 | Apr 26, 2021 (155) |
120 | EVA | ss3984588815 | Apr 26, 2021 (155) |
121 | EVA | ss3985298642 | Apr 26, 2021 (155) |
122 | EVA | ss3986039619 | Apr 26, 2021 (155) |
123 | EVA | ss3986382904 | Apr 26, 2021 (155) |
124 | EVA | ss4017337788 | Apr 26, 2021 (155) |
125 | TOPMED | ss4746727899 | Apr 26, 2021 (155) |
126 | TOMMO_GENOMICS | ss5183241217 | Apr 26, 2021 (155) |
127 | CPQ_GEN_INCA | ss5236855150 | Apr 26, 2021 (155) |
128 | CPQ_GEN_INCA | ss5236861054 | Apr 26, 2021 (155) |
129 | EVA | ss5237033467 | Apr 26, 2021 (155) |
130 | EVA | ss5237649204 | Oct 14, 2022 (156) |
131 | 1000G_HIGH_COVERAGE | ss5272953628 | Oct 14, 2022 (156) |
132 | TRAN_CS_UWATERLOO | ss5314419763 | Oct 14, 2022 (156) |
133 | EVA | ss5315250631 | Oct 14, 2022 (156) |
134 | EVA | ss5373701281 | Oct 14, 2022 (156) |
135 | HUGCELL_USP | ss5470118114 | Oct 14, 2022 (156) |
136 | EVA | ss5508972104 | Oct 14, 2022 (156) |
137 | 1000G_HIGH_COVERAGE | ss5561166260 | Oct 14, 2022 (156) |
138 | EVA | ss5623892176 | Oct 14, 2022 (156) |
139 | EVA | ss5623940244 | Oct 14, 2022 (156) |
140 | EVA | ss5624166846 | Oct 14, 2022 (156) |
141 | SANFORD_IMAGENETICS | ss5624664178 | Oct 14, 2022 (156) |
142 | SANFORD_IMAGENETICS | ss5642997280 | Oct 14, 2022 (156) |
143 | TOMMO_GENOMICS | ss5723102421 | Oct 14, 2022 (156) |
144 | EVA | ss5799431700 | Oct 14, 2022 (156) |
145 | EVA | ss5799725819 | Oct 14, 2022 (156) |
146 | YY_MCH | ss5808622814 | Oct 14, 2022 (156) |
147 | EVA | ss5822855554 | Oct 14, 2022 (156) |
148 | GDLABSOGANGLF | ss5847150680 | Oct 14, 2022 (156) |
149 | EVA | ss5847318949 | Oct 14, 2022 (156) |
150 | EVA | ss5848139209 | Oct 14, 2022 (156) |
151 | EVA | ss5848682764 | Oct 14, 2022 (156) |
152 | EVA | ss5855906104 | Oct 14, 2022 (156) |
153 | EVA | ss5858997782 | Oct 14, 2022 (156) |
154 | EVA | ss5935867840 | Oct 14, 2022 (156) |
155 | EVA | ss5972218617 | Oct 14, 2022 (156) |
156 | EVA | ss5979827604 | Oct 14, 2022 (156) |
157 | 1000Genomes | NC_000007.13 - 55268916 | Oct 12, 2018 (152) |
158 | 1000Genomes_30x | NC_000007.14 - 55201223 | Oct 14, 2022 (156) |
159 | The Avon Longitudinal Study of Parents and Children | NC_000007.13 - 55268916 | Oct 12, 2018 (152) |
160 | Chileans | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
161 | Genetic variation in the Estonian population | NC_000007.13 - 55268916 | Oct 12, 2018 (152) |
162 | ExAC | NC_000007.13 - 55268916 | Oct 12, 2018 (152) |
163 | FINRISK | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
164 | The Danish reference pan genome | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
165 | gnomAD - Genomes | NC_000007.14 - 55201223 | Apr 26, 2021 (155) |
166 | gnomAD - Exomes | NC_000007.13 - 55268916 | Jul 13, 2019 (153) |
167 | GO Exome Sequencing Project | NC_000007.13 - 55268916 | Oct 12, 2018 (152) |
168 | Genome of the Netherlands Release 5 | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
169 | HGDP-CEPH-db Supplement 1 | NC_000007.12 - 55236410 | Apr 26, 2020 (154) |
170 | HapMap | NC_000007.14 - 55201223 | Apr 26, 2020 (154) |
171 | KOREAN population from KRGDB | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
172 | Korean Genome Project | NC_000007.14 - 55201223 | Apr 26, 2020 (154) |
173 | Medical Genome Project healthy controls from Spanish population | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
174 | Northern Sweden | NC_000007.13 - 55268916 | Jul 13, 2019 (153) |
175 | The PAGE Study | NC_000007.14 - 55201223 | Jul 13, 2019 (153) |
176 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000007.13 - 55268916 | Apr 26, 2021 (155) |
177 | CNV burdens in cranial meningiomas | NC_000007.13 - 55268916 | Apr 26, 2021 (155) |
178 | Qatari | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
179 | SGDP_PRJ | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
180 | Siberian | NC_000007.13 - 55268916 | Apr 26, 2020 (154) |
181 | 8.3KJPN | NC_000007.13 - 55268916 | Apr 26, 2021 (155) |
182 | 14KJPN | NC_000007.14 - 55201223 | Oct 14, 2022 (156) |
183 | TopMed | NC_000007.14 - 55201223 | Apr 26, 2021 (155) |
184 | UK 10K study - Twins | NC_000007.13 - 55268916 | Oct 12, 2018 (152) |
185 | A Vietnamese Genetic Variation Database | NC_000007.13 - 55268916 | Jul 13, 2019 (153) |
186 | ALFA | NC_000007.14 - 55201223 | Apr 26, 2021 (155) |
187 | ClinVar | RCV000248744.1 | Oct 12, 2018 (152) |
188 | ClinVar | RCV001510928.4 | Oct 14, 2022 (156) |
189 | ClinVar | RCV001709543.1 | Oct 14, 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) |
---|---|
rs10435501 | Feb 27, 2004 (120) |
rs17337472 | Mar 11, 2006 (126) |
rs56649858 | May 26, 2008 (130) |
rs61150996 | May 26, 2008 (130) |
rs386564009 | Aug 21, 2014 (142) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss5935867840 | NC_000007.13:55268915:C:G | NC_000007.14:55201222:C:G | |
ss3639352448, ss3639704270 | NC_000007.11:55043124:C:T | NC_000007.14:55201222:C:T | (self) |
555964, ss66074171, ss76007561, ss112044549, ss166625559, ss170329442, ss279318809, ss293873753, ss480515396, ss491906502, ss825458069, ss1593883993, ss1712957640, ss2635172913, ss3643634850, ss3847878072 | NC_000007.12:55236409:C:T | NC_000007.14:55201222:C:T | (self) |
37191075, 20744356, 410380, 14817122, 8811877, 49097, 8379036, 5611632, 735174, 9253102, 21574281, 279518, 7938555, 524569, 138237, 9588835, 19335323, 5172394, 41210524, 20744356, 4625432, ss233988857, ss240940159, ss342235825, ss480529632, ss481339454, ss485055077, ss490945950, ss537072231, ss654384043, ss778863997, ss782973751, ss783935095, ss832230120, ss832890368, ss834324821, ss984303324, ss1067488417, ss1074630988, ss1325218614, ss1582214097, ss1584052636, ss1618262894, ss1661256927, ss1688745885, ss1711163758, ss1752690747, ss1927546905, ss1959014479, ss2024460250, ss2152656040, ss2626717410, ss2634609921, ss2708323135, ss2736449593, ss2747825672, ss2853379279, ss3001153119, ss3022737633, ss3347597700, ss3629823468, ss3632517175, ss3633464385, ss3634189346, ss3635122848, ss3635869146, ss3636855060, ss3637622115, ss3638699279, ss3640830141, ss3646352985, ss3653270190, ss3669078874, ss3734653690, ss3745422894, ss3766593891, ss3772915819, ss3785824333, ss3791125624, ss3796005604, ss3824277209, ss3825720185, ss3830585851, ss3867318343, ss3914396887, ss3984367638, ss3984367639, ss3984588815, ss3985298642, ss3986039619, ss3986382904, ss4017337788, ss5183241217, ss5236855150, ss5236861054, ss5315250631, ss5373701281, ss5508972104, ss5623892176, ss5623940244, ss5624166846, ss5624664178, ss5642997280, ss5799431700, ss5799725819, ss5822855554, ss5847150680, ss5847318949, ss5848139209, ss5848682764, ss5972218617, ss5979827604 | NC_000007.13:55268915:C:T | NC_000007.14:55201222:C:T | (self) |
RCV000248744.1, RCV001510928.4, RCV001709543.1, 48692195, 262088498, 3407170, 17885988, 593771, 56939525, 584105458, 4336989485, ss2294218916, ss3026026477, ss3719738265, ss3726446867, ss3771372302, ss3809753551, ss3961507987, ss4746727899, ss5237033467, ss5237649204, ss5272953628, ss5314419763, ss5470118114, ss5561166260, ss5723102421, ss5808622814, ss5855906104, ss5858997782 | NC_000007.14:55201222:C:T | NC_000007.14:55201222:C:T | (self) |
ss14749365, ss52075255 | NT_033968.5:4858284:C:T | NC_000007.14:55201222:C:T | (self) |
ss3236359, ss24018399, ss24779036, ss65741731, ss66806728, ss66861671, ss67243503, ss67640364, ss70721844, ss71290285, ss74802383, ss75852465, ss76866724, ss79127551, ss84025564, ss86239762, ss95210613, ss105434890, ss121991282, ss153900756, ss154833131, ss159378572, ss159714802, ss160531266, ss171171634, ss173263284, ss244289566 | NT_033968.6:4858284:C:T | NC_000007.14:55201222:C:T | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
PMID | Title | Author | Year | Journal |
---|---|---|---|---|
17956637 | Polymorphisms in the epidermal growth factor receptor gene and the risk of primary lung cancer: a case-control study. | Choi JE et al. | 2007 | BMC cancer |
19190167 | A two-stage case-control study of EGFR polymorphisms and breast cancer risk. | Hong YS et al. | 2009 | Cancer epidemiology, biomarkers & prevention |
19201048 | Polymorphisms of EGFR predict clinical outcome in advanced non-small-cell lung cancer patients treated with Gefitinib. | Ma F et al. | 2009 | Lung cancer (Amsterdam, Netherlands) |
19372140 | EGFR pathway polymorphisms and bladder cancer susceptibility and prognosis. | Mason RA et al. | 2009 | Carcinogenesis |
19641380 | Candidate gene polymorphisms for diabetes mellitus, cardiovascular disease and cancer are associated with longevity in Koreans. | Park JW et al. | 2009 | Experimental & molecular medicine |
21859544 | [Effect of rs2293347 Polymorphism in EGFR on the Clinical Efficacy of Gefitinib in Patients with Non-small Cell Lung Cancer]. | Ma F et al. | 2011 | Zhongguo fei ai za zhi = Chinese journal of lung cancer |
22552271 | Integrated effect of EGFR and PAR-1 signaling crosstalk on airway hyperresponsiveness. | Yoshikawa T et al. | 2012 | International journal of molecular medicine |
23313300 | Role of EGFR SNPs in survival of advanced lung adenocarcinoma patients treated with Gefitinib. | Zhang L et al. | 2013 | Gene |
23816762 | Identification of a candidate single-nucleotide polymorphism related to chemotherapeutic response through a combination of knowledge-based algorithm and hypothesis-free genomic data. | Takahashi H et al. | 2013 | Journal of bioscience and bioengineering |
25127363 | Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect. | Takahashi H et al. | 2014 | PloS one |
25396734 | Comprehensive analysis of the association of EGFR, CALM3 and SMARCD1 gene polymorphisms with BMD in Caucasian women. | Zhou QH et al. | 2014 | PloS one |
25741868 | Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. | Richards S et al. | 2015 | Genetics in medicine |
26475168 | Construction of possible integrated predictive index based on EGFR and ANXA3 polymorphisms for chemotherapy response in fluoropyrimidine-treated Japanese gastric cancer patients using a bioinformatic method. | Takahashi H et al. | 2015 | BMC cancer |
28043105 | Association Study of Polymorphisms of Epidermal Growth Factor and Epidermal Growth Factor Receptor With Benign Prostatic Hyperplasia in a Korean Population. | Kim SK et al. | 2016 | International neurourology journal |
30898568 | EGFR Gene Polymorphism Predicts Improved Outcome in Patients With EGFR Mutation-positive Non-small cell Lung Cancer Treated With Erlotinib. | Winther-Larsen A et al. | 2019 | Clinical lung cancer |
31518089 | The EGFR rs2233947 polymorphism is associated with lung cancer risk: a study from Jordan. | Bashir NA et al. | 2019 | Acta biochimica Polonica |
31681611 | External Replication of Urinary Bladder Cancer Prognostic Polymorphisms in the UK Biobank. | Lipunova N et al. | 2019 | Frontiers in oncology |
31906817 | Association between epidermal growth factor (EGF) and EGF receptor gene polymorphisms and end-stage renal disease and acute renal allograft rejection in a Korean population. | Kim BW et al. | 2020 | Renal failure |
32256580 | EGFR Polymorphism and Survival of NSCLC Patients Treated with TKIs: A Systematic Review and Meta-Analysis. | Jurisic V et al. | 2020 | Journal of oncology |
33680380 | Role of EGFR gene polymorphisms in oral squamous cell carcinoma patients of Southeast Iran: A case-control study. | Saravani S et al. | 2020 | Caspian journal of internal medicine |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.