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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.

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)
C=0.42619 (10537/24724, ALFA)
C=0.4041 (2588/6404, 1000G_30x)
C=0.365 (130/356, PharmGKB)
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.

Release Version: 20231103111315
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


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=0.421894 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
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 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
Gene: CYP2D6, cytochrome P450 family 2 subfamily D member 6 (minus strand)
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
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: C= (allele ID: 508193 )
ClinVar Accession Disease Names Clinical Significance
RCV000601580.1 not specified Likely-Benign
RCV001029641.2 Tramadol response Drug-Response
Allele: G (allele ID: 38485 )
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
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= 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
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#.

106 SubSNP, 6 Frequency, 7 ClinVar submissions
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)
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)
rs57862116 May 24, 2008 (130)
Added to this RefSNP Cluster:
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)
Help

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

41 citations for rs1135840
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
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.post825+45319f0