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.
rs1135840
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr22:42126611 (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>A / C>G / C>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
C=0.421894 (111671/264690, TOPMED)C=0.423051 (58453/138170, GnomAD)C=0.46537 (13103/28156, 14KJPN) (+ 3 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- CYP2D6 : Missense Variant
- Publications
- 41 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
Population | Group | Sample Size | Ref Allele | Alt Allele | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
---|---|---|---|---|---|---|---|---|
Total | Global | 24724 | C=0.42619 | G=0.57381, T=0.00000 | 0.200453 | 0.348083 | 0.451464 | 32 |
European | Sub | 17752 | C=0.43263 | G=0.56737, T=0.00000 | 0.20178 | 0.336525 | 0.461694 | 17 |
African | Sub | 3020 | C=0.3795 | G=0.6205, T=0.0000 | 0.175497 | 0.416556 | 0.407947 | 15 |
African Others | Sub | 96 | C=0.45 | G=0.55, T=0.00 | 0.208333 | 0.3125 | 0.479167 | 0 |
African American | Sub | 2924 | C=0.3772 | G=0.6228, T=0.0000 | 0.174419 | 0.419973 | 0.405609 | 15 |
Asian | Sub | 164 | C=0.280 | G=0.720, T=0.000 | 0.097561 | 0.536585 | 0.365854 | 0 |
East Asian | Sub | 110 | C=0.282 | G=0.718, T=0.000 | 0.145455 | 0.581818 | 0.272727 | 4 |
Other Asian | Sub | 54 | C=0.28 | G=0.72, T=0.00 | 0.0 | 0.444444 | 0.555556 | 3 |
Latin American 1 | Sub | 146 | C=0.425 | G=0.575, T=0.000 | 0.219178 | 0.369863 | 0.410959 | 1 |
Latin American 2 | Sub | 610 | C=0.577 | G=0.423, T=0.000 | 0.344262 | 0.190164 | 0.465574 | 0 |
South Asian | Sub | 94 | C=0.40 | G=0.60, T=0.00 | 0.234043 | 0.425532 | 0.340426 | 3 |
Other | Sub | 2938 | C=0.4129 | G=0.5871, T=0.0000 | 0.191967 | 0.366236 | 0.441797 | 7 |
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=0.421894 | G=0.578106 |
gnomAD - Genomes | Global | Study-wide | 138170 | C=0.423051 | G=0.576949 |
gnomAD - Genomes | European | Sub | 75302 | C=0.44980 | G=0.55020 |
gnomAD - Genomes | African | Sub | 40822 | C=0.35946 | G=0.64054 |
gnomAD - Genomes | American | Sub | 13548 | C=0.51174 | G=0.48826 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3312 | C=0.3545 | G=0.6455 |
gnomAD - Genomes | East Asian | Sub | 3060 | C=0.2935 | G=0.7065 |
gnomAD - Genomes | Other | Sub | 2126 | C=0.4247 | G=0.5753 |
14KJPN | JAPANESE | Study-wide | 28156 | C=0.46537 | G=0.53463 |
Allele Frequency Aggregator | Total | Global | 24724 | C=0.42619 | G=0.57381, T=0.00000 |
Allele Frequency Aggregator | European | Sub | 17752 | C=0.43263 | G=0.56737, T=0.00000 |
Allele Frequency Aggregator | African | Sub | 3020 | C=0.3795 | G=0.6205, T=0.0000 |
Allele Frequency Aggregator | Other | Sub | 2938 | C=0.4129 | G=0.5871, T=0.0000 |
Allele Frequency Aggregator | Latin American 2 | Sub | 610 | C=0.577 | G=0.423, T=0.000 |
Allele Frequency Aggregator | Asian | Sub | 164 | C=0.280 | G=0.720, T=0.000 |
Allele Frequency Aggregator | Latin American 1 | Sub | 146 | C=0.425 | G=0.575, T=0.000 |
Allele Frequency Aggregator | South Asian | Sub | 94 | C=0.40 | G=0.60, T=0.00 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.4041 | G=0.5959 |
1000Genomes_30x | African | Sub | 1786 | C=0.3219 | G=0.6781 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.4597 | G=0.5403 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.4742 | G=0.5258 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.2923 | G=0.7077 |
1000Genomes_30x | American | Sub | 980 | C=0.530 | G=0.470 |
PharmGKB Aggregated | Global | Study-wide | 356 | C=0.365 | G=0.635 |
PharmGKB Aggregated | PA149580837 | Sub | 356 | C=0.365 | G=0.635 |
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 22 | NC_000022.11:g.42126611C>A |
GRCh38.p14 chr 22 | NC_000022.11:g.42126611C>G |
GRCh38.p14 chr 22 | NC_000022.11:g.42126611C>T |
gene/pseudogene RefSeqGene (LRG_303) | NG_008376.4:g.9200G>T |
gene/pseudogene RefSeqGene (LRG_303) | NG_008376.4:g.9200G>C |
gene/pseudogene RefSeqGene (LRG_303) | NG_008376.4:g.9200G>A |
GRCh38.p14 chr 22 novel patch HSCHR22_8_CTG1 | NW_015148968.1:g.4352G>C |
GRCh38.p14 chr 22 novel patch HSCHR22_8_CTG1 | NW_015148968.1:g.4352G>A |
GRCh38.p14 chr 22 novel patch HSCHR22_8_CTG1 | NW_015148968.1:g.4352G>T |
GRCh38.p14 chr 22 novel patch HSCHR22_7_CTG1 | NW_014040931.1:g.20200G>C |
GRCh38.p14 chr 22 novel patch HSCHR22_7_CTG1 | NW_014040931.1:g.20200G>A |
GRCh38.p14 chr 22 novel patch HSCHR22_7_CTG1 | NW_014040931.1:g.20200G>T |
GRCh38.p14 chr 22 novel patch HSCHR22_5_CTG1 | NW_009646208.1:g.12177G>C |
GRCh38.p14 chr 22 novel patch HSCHR22_5_CTG1 | NW_009646208.1:g.12177G>A |
GRCh38.p14 chr 22 novel patch HSCHR22_5_CTG1 | NW_009646208.1:g.12177G>T |
GRCh38.p14 chr 22 alt locus HSCHR22_2_CTG1 | NW_004504305.1:g.48938G>C |
GRCh38.p14 chr 22 alt locus HSCHR22_2_CTG1 | NW_004504305.1:g.48938G>A |
GRCh38.p14 chr 22 alt locus HSCHR22_2_CTG1 | NW_004504305.1:g.48938G>T |
GRCh38.p14 chr 22 alt locus HSCHR22_3_CTG1 | NT_187682.1:g.48952G>C |
GRCh38.p14 chr 22 alt locus HSCHR22_3_CTG1 | NT_187682.1:g.48952G>A |
GRCh38.p14 chr 22 alt locus HSCHR22_3_CTG1 | NT_187682.1:g.48952G>T |
GRCh37.p13 chr 22 | NC_000022.10:g.42522613G>C |
GRCh37.p13 chr 22 | NC_000022.10:g.42522613G>A |
GRCh37.p13 chr 22 | NC_000022.10:g.42522613G>T |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
CYP2D6 transcript variant 1 | NM_000106.6:c.1457G>T | S [AGC] > I [ATC] | Coding Sequence Variant |
cytochrome P450 2D6 isoform 1 | NP_000097.3:p.Ser486Ile | S (Ser) > I (Ile) | Missense Variant |
CYP2D6 transcript variant 1 | NM_000106.6:c.1457G>C | S [AGC] > T [ACC] | Coding Sequence Variant |
cytochrome P450 2D6 isoform 1 | NP_000097.3:p.Ser486Thr | S (Ser) > T (Thr) | Missense Variant |
CYP2D6 transcript variant 1 | NM_000106.6:c.1457G>A | S [AGC] > N [AAC] | Coding Sequence Variant |
cytochrome P450 2D6 isoform 1 | NP_000097.3:p.Ser486Asn | S (Ser) > N (Asn) | Missense Variant |
CYP2D6 transcript variant 2 | NM_001025161.3:c.1304G>T | S [AGC] > I [ATC] | Coding Sequence Variant |
cytochrome P450 2D6 isoform 2 | NP_001020332.2:p.Ser435Ile | S (Ser) > I (Ile) | Missense Variant |
CYP2D6 transcript variant 2 | NM_001025161.3:c.1304G>C | S [AGC] > T [ACC] | Coding Sequence Variant |
cytochrome P450 2D6 isoform 2 | NP_001020332.2:p.Ser435Thr | S (Ser) > T (Thr) | Missense Variant |
CYP2D6 transcript variant 2 | NM_001025161.3:c.1304G>A | S [AGC] > N [AAC] | Coding Sequence Variant |
cytochrome P450 2D6 isoform 2 | NP_001020332.2:p.Ser435Asn | S (Ser) > N (Asn) | Missense 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 |
---|---|---|
RCV000601580.1 | not specified | Likely-Benign |
RCV001029641.2 | Tramadol response | Drug-Response |
ClinVar Accession | Disease Names | Clinical Significance |
---|---|---|
RCV000018391.28 | Debrisoquine, ultrarapid metabolism of | Drug-Response |
RCV000609529.2 | not specified | Benign |
RCV000734610.4 | not provided | Other |
RCV001030445.2 | Deutetrabenazine response | Drug-Response |
RCV001093718.2 | Tamoxifen response | Drug-Response |
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= | A | G | T |
---|---|---|---|---|
GRCh38.p14 chr 22 | NC_000022.11:g.42126611= | NC_000022.11:g.42126611C>A | NC_000022.11:g.42126611C>G | NC_000022.11:g.42126611C>T |
gene/pseudogene RefSeqGene (LRG_303) | NG_008376.4:g.9200= | NG_008376.4:g.9200G>T | NG_008376.4:g.9200G>C | NG_008376.4:g.9200G>A |
CYP2D6 transcript variant 1 | NM_000106.6:c.1457= | NM_000106.6:c.1457G>T | NM_000106.6:c.1457G>C | NM_000106.6:c.1457G>A |
CYP2D6 transcript variant 1 | NM_000106.5:c.1457= | NM_000106.5:c.1457G>T | NM_000106.5:c.1457G>C | NM_000106.5:c.1457G>A |
CYP2D6 transcript variant 2 | NM_001025161.3:c.1304= | NM_001025161.3:c.1304G>T | NM_001025161.3:c.1304G>C | NM_001025161.3:c.1304G>A |
CYP2D6 transcript variant 2 | NM_001025161.2:c.1304= | NM_001025161.2:c.1304G>T | NM_001025161.2:c.1304G>C | NM_001025161.2:c.1304G>A |
GRCh38.p14 chr 22 novel patch HSCHR22_8_CTG1 | NW_015148968.1:g.4352G>C | NW_015148968.1:g.4352G>A | NW_015148968.1:g.4352= | NW_015148968.1:g.4352G>T |
GRCh38.p14 chr 22 novel patch HSCHR22_7_CTG1 | NW_014040931.1:g.20200G>C | NW_014040931.1:g.20200G>A | NW_014040931.1:g.20200= | NW_014040931.1:g.20200G>T |
GRCh38.p14 chr 22 novel patch HSCHR22_5_CTG1 | NW_009646208.1:g.12177G>C | NW_009646208.1:g.12177G>A | NW_009646208.1:g.12177= | NW_009646208.1:g.12177G>T |
GRCh38.p14 chr 22 alt locus HSCHR22_2_CTG1 | NW_004504305.1:g.48938G>C | NW_004504305.1:g.48938G>A | NW_004504305.1:g.48938= | NW_004504305.1:g.48938G>T |
GRCh38.p14 chr 22 alt locus HSCHR22_3_CTG1 | NT_187682.1:g.48952G>C | NT_187682.1:g.48952G>A | NT_187682.1:g.48952= | NT_187682.1:g.48952G>T |
GRCh37.p13 chr 22 | NC_000022.10:g.42522613G>C | NC_000022.10:g.42522613G>A | NC_000022.10:g.42522613= | NC_000022.10:g.42522613G>T |
cytochrome P450 2D6 isoform 1 | NP_000097.3:p.Ser486= | NP_000097.3:p.Ser486Ile | NP_000097.3:p.Ser486Thr | NP_000097.3:p.Ser486Asn |
cytochrome P450 2D6 isoform 2 | NP_001020332.2:p.Ser435= | NP_001020332.2:p.Ser435Ile | NP_001020332.2:p.Ser435Thr | NP_001020332.2:p.Ser435Asn |
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 | BIOVENTURES | ss32476076 | May 24, 2005 (125) |
2 | PHARMGKB_AB_DME | ss84158068 | Dec 14, 2007 (130) |
3 | CORNELL | ss86238995 | Mar 23, 2008 (129) |
4 | HUMANGENOME_JCVI | ss96102590 | Feb 04, 2009 (130) |
5 | BGI | ss103867157 | Feb 04, 2009 (130) |
6 | 1000GENOMES | ss112671827 | Jan 25, 2009 (130) |
7 | 1000GENOMES | ss114257401 | Jan 25, 2009 (130) |
8 | SEATTLESEQ | ss159744642 | Dec 01, 2009 (131) |
9 | ILLUMINA | ss159849673 | Dec 01, 2009 (131) |
10 | COMPLETE_GENOMICS | ss168008094 | Jul 04, 2010 (132) |
11 | ILLUMINA | ss169132418 | Jul 04, 2010 (132) |
12 | COMPLETE_GENOMICS | ss169359450 | Jul 04, 2010 (132) |
13 | OMICIA | ss169705263 | Oct 01, 2009 (131) |
14 | COMPLETE_GENOMICS | ss172010159 | Jul 04, 2010 (132) |
15 | BUSHMAN | ss204099750 | Jul 04, 2010 (132) |
16 | BCM-HGSC-SUB | ss208847518 | Jul 04, 2010 (132) |
17 | 1000GENOMES | ss228698350 | Jul 14, 2010 (132) |
18 | 1000GENOMES | ss238081960 | Jul 15, 2010 (132) |
19 | 1000GENOMES | ss244197289 | Jul 15, 2010 (132) |
20 | GMI | ss283649239 | May 04, 2012 (137) |
21 | GMI | ss287575144 | Apr 25, 2013 (138) |
22 | PJP | ss292767915 | May 09, 2011 (134) |
23 | NHLBI-ESP | ss342544585 | May 09, 2011 (134) |
24 | ILLUMINA | ss479158785 | Sep 08, 2015 (146) |
25 | ILLUMINA | ss479865074 | May 04, 2012 (137) |
26 | ILLUMINA | ss484318298 | May 04, 2012 (137) |
27 | 1000GENOMES | ss491194339 | May 04, 2012 (137) |
28 | EXOME_CHIP | ss491572591 | May 04, 2012 (137) |
29 | CLINSEQ_SNP | ss491825710 | May 04, 2012 (137) |
30 | TISHKOFF | ss566667061 | Apr 25, 2013 (138) |
31 | SSMP | ss662596346 | Apr 25, 2013 (138) |
32 | ILLUMINA | ss781087917 | Sep 08, 2015 (146) |
33 | OMIM-CURATED-RECORDS | ss825077091 | Jun 20, 2013 (137) |
34 | JMKIDD_LAB | ss974513198 | Aug 21, 2014 (142) |
35 | EVA-GONL | ss995393776 | Aug 21, 2014 (142) |
36 | JMKIDD_LAB | ss1067607069 | Aug 21, 2014 (142) |
37 | 1000GENOMES | ss1367335993 | Aug 21, 2014 (142) |
38 | DDI | ss1429268116 | Apr 01, 2015 (144) |
39 | EVA_GENOME_DK | ss1579767139 | Apr 01, 2015 (144) |
40 | EVA_FINRISK | ss1584128339 | Apr 01, 2015 (144) |
41 | EVA_EXAC | ss1694378896 | Apr 01, 2015 (144) |
42 | EVA_DECODE | ss1699465055 | Apr 01, 2015 (144) |
43 | EVA_MGP | ss1711571560 | Apr 01, 2015 (144) |
44 | WEILL_CORNELL_DGM | ss1938961248 | Feb 12, 2016 (147) |
45 | ILLUMINA | ss1959984029 | Feb 12, 2016 (147) |
46 | GENOMED | ss1969279593 | Jul 19, 2016 (147) |
47 | JJLAB | ss2030253482 | Sep 14, 2016 (149) |
48 | USC_VALOUEV | ss2158873697 | Dec 20, 2016 (150) |
49 | SYSTEMSBIOZJU | ss2629622765 | Nov 08, 2017 (151) |
50 | ILLUMINA | ss2635112629 | Nov 08, 2017 (151) |
51 | GRF | ss2704626579 | Nov 08, 2017 (151) |
52 | ILLUMINA | ss2710959454 | Nov 08, 2017 (151) |
53 | GNOMAD | ss2745191147 | Nov 08, 2017 (151) |
54 | GNOMAD | ss2750571464 | Nov 08, 2017 (151) |
55 | AFFY | ss2985240486 | Nov 08, 2017 (151) |
56 | AFFY | ss2985857639 | Nov 08, 2017 (151) |
57 | SWEGEN | ss3019375453 | Nov 08, 2017 (151) |
58 | ILLUMINA | ss3022190882 | Nov 08, 2017 (151) |
59 | EVA_SAMSUNG_MC | ss3023073583 | Nov 08, 2017 (151) |
60 | BIOINF_KMB_FNS_UNIBA | ss3028962576 | Nov 08, 2017 (151) |
61 | CSIRBIOHTS | ss3029638755 | Nov 08, 2017 (151) |
62 | CSHL | ss3352855482 | Nov 08, 2017 (151) |
63 | ILLUMINA | ss3636565841 | Oct 12, 2018 (152) |
64 | ILLUMINA | ss3638385692 | Oct 12, 2018 (152) |
65 | OMUKHERJEE_ADBS | ss3646568207 | Oct 12, 2018 (152) |
66 | ILLUMINA | ss3652655234 | Oct 12, 2018 (152) |
67 | ILLUMINA | ss3654008739 | Oct 12, 2018 (152) |
68 | ACPOP | ss3743969253 | Jul 13, 2019 (153) |
69 | EVA | ss3759434281 | Jul 13, 2019 (153) |
70 | EVA | ss3825454744 | Apr 27, 2020 (154) |
71 | EVA | ss3825534330 | Apr 27, 2020 (154) |
72 | EVA | ss3825548560 | Apr 27, 2020 (154) |
73 | EVA | ss3825972699 | Apr 27, 2020 (154) |
74 | EVA | ss3836012226 | Apr 27, 2020 (154) |
75 | EVA | ss3841634476 | Apr 27, 2020 (154) |
76 | EVA | ss3847149700 | Apr 27, 2020 (154) |
77 | SGDP_PRJ | ss3890637599 | Apr 27, 2020 (154) |
78 | KRGDB | ss3941034913 | Apr 27, 2020 (154) |
79 | FSA-LAB | ss3984237297 | Apr 26, 2021 (155) |
80 | EVA | ss3984761195 | Apr 26, 2021 (155) |
81 | EVA | ss3986866409 | Apr 26, 2021 (155) |
82 | VINODS | ss4034712619 | Apr 26, 2021 (155) |
83 | VINODS | ss4034758243 | Apr 26, 2021 (155) |
84 | TOPMED | ss5110779673 | Apr 26, 2021 (155) |
85 | TOMMO_GENOMICS | ss5232836961 | Apr 26, 2021 (155) |
86 | EVA | ss5236992016 | Apr 26, 2021 (155) |
87 | EVA | ss5237676609 | Oct 16, 2022 (156) |
88 | 1000G_HIGH_COVERAGE | ss5311255509 | Oct 16, 2022 (156) |
89 | TRAN_CS_UWATERLOO | ss5314458113 | Oct 16, 2022 (156) |
90 | EVA | ss5441587396 | Oct 16, 2022 (156) |
91 | EVA | ss5512473976 | Oct 16, 2022 (156) |
92 | EVA | ss5512473977 | Oct 16, 2022 (156) |
93 | 1000G_HIGH_COVERAGE | ss5618884601 | Oct 16, 2022 (156) |
94 | EVA | ss5623984010 | Oct 16, 2022 (156) |
95 | EVA | ss5624123258 | Oct 16, 2022 (156) |
96 | SANFORD_IMAGENETICS | ss5624504242 | Oct 16, 2022 (156) |
97 | SANFORD_IMAGENETICS | ss5664576636 | Oct 16, 2022 (156) |
98 | TOMMO_GENOMICS | ss5794028902 | Oct 16, 2022 (156) |
99 | EVA | ss5799404970 | Oct 16, 2022 (156) |
100 | YY_MCH | ss5818748072 | Oct 16, 2022 (156) |
101 | EVA | ss5822131191 | Oct 16, 2022 (156) |
102 | EVA | ss5848570284 | Oct 16, 2022 (156) |
103 | EVA | ss5936464295 | Oct 16, 2022 (156) |
104 | EVA | ss5936580629 | Oct 16, 2022 (156) |
105 | EVA | ss5959434874 | Oct 16, 2022 (156) |
106 | EVA | ss5979638946 | Oct 16, 2022 (156) |
107 | 1000Genomes_30x | NC_000022.11 - 42126611 | Oct 16, 2022 (156) |
108 | gnomAD - Genomes | NC_000022.11 - 42126611 | Apr 26, 2021 (155) |
109 | PharmGKB Aggregated | NC_000022.11 - 42126611 | Apr 27, 2020 (154) |
110 | 14KJPN | NC_000022.11 - 42126611 | Oct 16, 2022 (156) |
111 | TopMed | NC_000022.11 - 42126611 | Apr 26, 2021 (155) |
112 | ALFA | NC_000022.11 - 42126611 | Apr 26, 2021 (155) |
113 | ClinVar | RCV000018391.28 | Oct 16, 2022 (156) |
114 | ClinVar | RCV000601580.1 | Oct 12, 2018 (152) |
115 | ClinVar | RCV000609529.2 | Oct 16, 2022 (156) |
116 | ClinVar | RCV000734610.4 | Oct 16, 2022 (156) |
117 | ClinVar | RCV001029641.2 | Oct 16, 2022 (156) |
118 | ClinVar | RCV001030445.2 | Oct 16, 2022 (156) |
119 | ClinVar | RCV001093718.2 | 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) |
---|---|
rs57862116 | May 24, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss5512473977 | NC_000022.10:42522612:G:A | NC_000022.11:42126610:C:A | |
ss112671827, ss114257401, ss168008094, ss169359450, ss172010159, ss204099750, ss208847518, ss283649239, ss287575144, ss292767915, ss484318298, ss491825710, ss1699465055, ss2635112629 | NC_000022.9:40852556:G:G | NC_000022.11:42126610:C:G | (self) |
ss228698350, ss238081960, ss244197289, ss342544585, ss479158785, ss479865074, ss491194339, ss491572591, ss566667061, ss662596346, ss781087917, ss974513198, ss995393776, ss1067607069, ss1367335993, ss1429268116, ss1579767139, ss1584128339, ss1694378896, ss1711571560, ss1938961248, ss1959984029, ss1969279593, ss2030253482, ss2158873697, ss2629622765, ss2704626579, ss2710959454, ss2745191147, ss2750571464, ss2985240486, ss2985857639, ss3019375453, ss3022190882, ss3023073583, ss3029638755, ss3352855482, ss3636565841, ss3638385692, ss3646568207, ss3652655234, ss3654008739, ss3743969253, ss3759434281, ss3825454744, ss3825534330, ss3825548560, ss3825972699, ss3836012226, ss3841634476, ss3890637599, ss3941034913, ss3984237297, ss3984761195, ss3986866409, ss5232836961, ss5441587396, ss5512473976, ss5512473977, ss5623984010, ss5624123258, ss5624504242, ss5664576636, ss5799404970, ss5822131191, ss5848570284, ss5936464295, ss5936580629, ss5959434874, ss5979638946 | NC_000022.10:42522612:G:G | NC_000022.11:42126610:C:G | (self) |
RCV000018391.28, RCV000609529.2, RCV000734610.4, RCV001030445.2, RCV001093718.2, 106410536, 571269119, 7678, 127866006, 385888620, 4984376671, ss169705263, ss825077091, ss3028962576, ss3847149700, ss5110779673, ss5236992016, ss5237676609, ss5311255509, ss5314458113, ss5618884601, ss5794028902, ss5818748072 | NC_000022.11:42126610:C:G | NC_000022.11:42126610:C:G | (self) |
ss32476076, ss84158068, ss86238995, ss96102590, ss103867157, ss159744642, ss159849673, ss169132418 | NT_011520.12:21913181:G:G | NC_000022.11:42126610:C:G | (self) |
ss4034758243 | NT_187682.1:48951:G:G | NC_000022.11:42126610:C:G | (self) |
ss4034712619 | NW_004504305.1:48937:G:G | NC_000022.11:42126610:C:G | (self) |
ss5512473976, ss5512473977 | NC_000022.10:42522612:G:T | NC_000022.11:42126610:C:T | |
4984376671 | NC_000022.11:42126610:C:T | NC_000022.11:42126610: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 |
---|---|---|---|---|
7903454 | Inherited amplification of an active gene in the cytochrome P450 CYP2D locus as a cause of ultrarapid metabolism of debrisoquine. | Johansson I et al. | 1993 | Proceedings of the National Academy of Sciences of the United States of America |
7927337 | DNA haplotype-dependent differences in the amino acid sequence of debrisoquine 4-hydroxylase (CYP2D6): evidence for two major allozymes in extensive metabolisers. | Panserat S et al. | 1994 | Human genetics |
18698231 | Polymorphisms affecting gene transcription and mRNA processing in pharmacogenetic candidate genes: detection through allelic expression imbalance in human target tissues. | Johnson AD et al. | 2008 | Pharmacogenetics and genomics |
20548328 | High-efficiency genotype analysis from formalin-fixed, paraffin-embedded tumor tissues. | Sikora MJ et al. | 2011 | The pharmacogenomics journal |
21154707 | Searching NCBI's dbSNP database. | Bhagwat M et al. | 2010 | Current protocols in bioinformatics |
21790905 | CYP2B6 SNPs are associated with methadone dose required for effective treatment of opioid addiction. | Levran O et al. | 2013 | Addiction biology |
22424094 | Polymorphic genes of detoxification and mitochondrial enzymes and risk for progressive supranuclear palsy: a case control study. | Potts LF et al. | 2012 | BMC medical genetics |
22482072 | Genomics of Dementia: APOE- and CYP2D6-Related Pharmacogenetics. | Cacabelos R et al. | 2012 | International journal of Alzheimer's disease |
22552919 | Bioinformatics and variability in drug response: a protein structural perspective. | Lahti JL et al. | 2012 | Journal of the Royal Society, Interface |
22722500 | Association study of 27 annotated genes for clozapine pharmacogenetics: validation of preexisting studies and identification of a new candidate gene, ABCB1, for treatment response. | Lee ST et al. | 2012 | Journal of clinical psychopharmacology |
23133420 | Pharmacogenomic Diversity among Brazilians: Influence of Ancestry, Self-Reported Color, and Geographical Origin. | Suarez-Kurtz G et al. | 2012 | Frontiers in pharmacology |
23207012 | Reduced CYP2D6 function is associated with gefitinib-induced rash in patients with non-small cell lung cancer. | Suzumura T et al. | 2012 | BMC cancer |
24798984 | Developing and Evaluating the HRM Technique for Identifying Cytochrome P450 2D6 Polymorphisms. | Lu HC et al. | 2015 | Journal of clinical laboratory analysis |
24868171 | Possible impact of the CYP2D6*10 polymorphism on the nonlinear pharmacokinetic parameter estimates of paroxetine in Japanese patients with major depressive disorders. | Saruwatari J et al. | 2014 | Pharmacogenomics and personalized medicine |
24944790 | Screening for 392 polymorphisms in 141 pharmacogenes. | Kim JY et al. | 2014 | Biomedical reports |
25419701 | Exploring the distribution of genetic markers of pharmacogenomics relevance in Brazilian and Mexican populations. | Bonifaz-Peña V et al. | 2014 | PloS one |
26316040 | Association of Polymorphisms of Cytochrome P450 2D6 With Blood Hydroxychloroquine Levels in Patients With Systemic Lupus Erythematosus. | Lee JY et al. | 2016 | Arthritis & rheumatology (Hoboken, N.J.) |
26793106 | CYP2D7 Sequence Variation Interferes with TaqMan CYP2D6 (*) 15 and (*) 35 Genotyping. | Riffel AK et al. | 2015 | Frontiers in pharmacology |
26858644 | Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX(®) ADME PGx Panel for Pharmacogenomic Profiling. | Chua EW et al. | 2016 | Frontiers in pharmacology |
27110117 | Clinically relevant genetic variants of drug-metabolizing enzyme and transporter genes detected in Thai children and adolescents with autism spectrum disorder. | Medhasi S et al. | 2016 | Neuropsychiatric disease and treatment |
27228982 | Genetic polymorphisms analysis of CYP2D6 in the Uygur population. | He X et al. | 2016 | BMC genomics |
27636550 | A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics. | Mizzi C et al. | 2016 | PloS one |
27785397 | CYP2D6 allele distribution in Macedonians, Albanians and Romanies in the Republic of Macedonia. | Kuzmanovska M et al. | 2015 | Balkan journal of medical genetics |
28346059 | Deferasirox pharmacogenetic influence on pharmacokinetic, efficacy and toxicity in a cohort of pediatric patients. | Allegra S et al. | 2017 | Pharmacogenomics |
28603633 | In vitro metabolism of exemestane by hepatic cytochrome P450s: impact of nonsynonymous polymorphisms on formation of the active metabolite 17β-dihydroexemestane. | Peterson A et al. | 2017 | Pharmacology research & perspectives |
29071720 | Antituberculosis Drug-Induced Adverse Events in the Liver, Kidneys, and Blood: Clinical Profiles and Pharmacogenetic Predictors. | Hu X et al. | 2018 | Clinical pharmacology and therapeutics |
29193749 | Clinical Implementation of Pharmacogenetic Testing in a Hospital of the Spanish National Health System: Strategy and Experience Over 3 Years. | Borobia AM et al. | 2018 | Clinical and translational science |
30093869 | Biological Predictors of Clozapine Response: A Systematic Review. | Samanaite R et al. | 2018 | Frontiers in psychiatry |
30344693 | Identification of mutations in SLC4A1, GP1BA and HFE in a family with venous thrombosis of unknown cause by next-generation sequencing. | Chang WA et al. | 2018 | Experimental and therapeutic medicine |
30360443 | Genetic Polymorphisms and In Silico Mutagenesis Analyses of CYP2C9, CYP2D6, and CYPOR Genes in the Pakistani Population. | Ahmed S et al. | 2018 | Genes |
31019283 | Secondary actionable findings identified by exome sequencing: expected impact on the organisation of care from the study of 700 consecutive tests. | Thauvin-Robinet C et al. | 2019 | European journal of human genetics |
31609742 | Whole Exome Sequencing Among 26 Patients With Indeterminate Acute Liver Failure: A Pilot Study. | Rakela J et al. | 2019 | Clinical and translational gastroenterology |
32219146 | Influence of Cytochrome P450 2D6 Polymorphisms on the Efficacy of Oral Propranolol in Treating Infantile Hemangioma. | Wang L et al. | 2020 | BioMed research international |
32483134 | The atorvastatin metabolic phenotype shift is influenced by interaction of drug-transporter polymorphisms in Mexican population: results of a randomized trial. | León-Cachón RBR et al. | 2020 | Scientific reports |
33519226 | Genetic Diversity of Drug-Related Genes in Native Americans of the Brazilian Amazon. | Fernandes MR et al. | 2021 | Pharmacogenomics and personalized medicine |
33688237 | Whole-Exome Sequencing in Patients Affected by Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Reveals New Variants Potentially Contributing to the Phenotype. | Fonseca DJ et al. | 2021 | Pharmacogenomics and personalized medicine |
33875422 | Pharmacogene Sequencing of a Gabonese Population with Severe Plasmodium falciparum Malaria Reveals Multiple Novel Variants with Putative Relevance for Antimalarial Treatment. | Pernaute-Lau L et al. | 2021 | Antimicrobial agents and chemotherapy |
34621706 | Comprehensive analysis of important pharmacogenes in Koreans using the DMET™ platform. | Kim B et al. | 2021 | Translational and clinical pharmacology |
34823523 | Prediction of the CYP2D6 enzymatic activity based on investigating of the CYP2D6 genotypes around the vivax malaria patients in Yunnan Province, China. | Dong Y et al. | 2021 | Malaria journal |
35401003 | CYP2D6 Gene Polymorphisms and Variable Metabolic Activity in Schizophrenia Patients of Han and Tibetan Populations. | Li YH et al. | 2022 | Neuropsychiatric disease and treatment |
36013302 | From Croatian Roma to 1000 Genomes: The Story of the CYP2D6 Gene Promoter and Enhancer SNPs. | Stojanović Marković A et al. | 2022 | Journal of personalized 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.