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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)
T=0.091909 (12883/140172, GnomAD)
T=0.133712 (16231/121388, ExAC)
T=0.10537 (8293/78702, PAGE_STUDY)
T=0.33159 (9370/28258, 14KJPN)
T=0.33011 (5532/16758, 8.3KJPN)
T=0.07043 (916/13006, GO-ESP)
T=0.1382 (885/6404, 1000G_30x)
T=0.1418 (710/5008, 1000G)
T=0.1076 (482/4480, Estonian)
T=0.1038 (400/3854, ALSPAC)
T=0.1084 (402/3708, TWINSUK)
T=0.3392 (994/2930, KOREAN)
T=0.1713 (357/2084, HGDP_Stanford)
T=0.3335 (611/1832, Korea1K)
T=0.1256 (215/1712, HapMap)
T=0.104 (104/998, GoNL)
T=0.298 (234/786, PRJEB37584)
T=0.101 (63/626, Chileans)
T=0.205 (126/614, Vietnamese)
T=0.135 (81/600, NorthernSweden)
T=0.099 (53/534, MGP)
T=0.197 (60/304, FINRISK)
T=0.051 (11/216, Qatari)
C=0.449 (79/176, SGDP_PRJ)
T=0.21 (18/84, Ancient Sardinia)
T=0.03 (1/40, GENOME_DK)
C=0.46 (11/24, Siberian)
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.

Release Version: 20230706150541
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


Help

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").

Download
Study 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
Help

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.

Genomic Placements
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
Gene: EGFR, epidermal growth factor receptor (plus strand)
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
Help

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.

Allele: T (allele ID: 252903 )
ClinVar Accession Disease Names Clinical Significance
RCV000248744.1 not specified Benign
RCV001510928.4 EGFR-related lung cancer Benign
RCV001709543.1 not provided Benign
Help

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=
Help

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#.

156 SubSNP, 30 Frequency, 3 ClinVar submissions
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)
Help

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)
Added to this RefSNP Cluster:
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)
Help

Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

20 citations for rs2293347
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
Help

The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

Genome context:
Select flank length:

Genomic regions, transcripts, and products
Top 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.

Software version is: 2.0.1.post774+babeb33