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.
rs5030655
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr22:42129084 (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
- delA
- Variation Type
- Deletion
- Frequency
-
delA=0.007114 (1883/264690, TOPMED)delA=0.007918 (1935/244380, GnomAD_exome)delA=0.008828 (1233/139672, GnomAD) (+ 8 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
-
CYP2D6 : Frameshift VariantLOC102723722 : 2KB Upstream Variant
- Publications
- 30 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 | 92826 | A=0.99823 | =0.00177 | 0.996553 | 8.6e-05 | 0.003361 | 32 |
| European | Sub | 79814 | A=0.99833 | =0.00167 | 0.996742 | 0.000075 | 0.003182 | 32 |
| African | Sub | 4282 | A=0.9979 | =0.0021 | 0.996263 | 0.000467 | 0.00327 | 32 |
| African Others | Sub | 174 | A=1.000 | =0.000 | 1.0 | 0.0 | 0.0 | N/A |
| African American | Sub | 4108 | A=0.9978 | =0.0022 | 0.996105 | 0.000487 | 0.003408 | 32 |
| Asian | Sub | 3330 | A=1.0000 | =0.0000 | 1.0 | 0.0 | 0.0 | N/A |
| East Asian | Sub | 2674 | A=1.0000 | =0.0000 | 1.0 | 0.0 | 0.0 | N/A |
| Other Asian | Sub | 656 | A=1.000 | =0.000 | 1.0 | 0.0 | 0.0 | N/A |
| Latin American 1 | Sub | 434 | A=1.000 | =0.000 | 1.0 | 0.0 | 0.0 | N/A |
| Latin American 2 | Sub | 924 | A=1.000 | =0.000 | 1.0 | 0.0 | 0.0 | N/A |
| South Asian | Sub | 274 | A=1.000 | =0.000 | 1.0 | 0.0 | 0.0 | N/A |
| Other | Sub | 3768 | A=0.9942 | =0.0058 | 0.988323 | 0.0 | 0.011677 | 0 |
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 | A=0.992886 | delA=0.007114 |
| gnomAD - Exomes | Global | Study-wide | 244380 | A=0.992082 | delA=0.007918 |
| gnomAD - Exomes | European | Sub | 131600 | A=0.987766 | delA=0.012234 |
| gnomAD - Exomes | Asian | Sub | 48160 | A=0.99896 | delA=0.00104 |
| gnomAD - Exomes | American | Sub | 34122 | A=0.99631 | delA=0.00369 |
| gnomAD - Exomes | African | Sub | 14646 | A=0.99788 | delA=0.00212 |
| gnomAD - Exomes | Ashkenazi Jewish | Sub | 9932 | A=0.9916 | delA=0.0084 |
| gnomAD - Exomes | Other | Sub | 5920 | A=0.9941 | delA=0.0059 |
| gnomAD - Genomes | Global | Study-wide | 139672 | A=0.991172 | delA=0.008828 |
| gnomAD - Genomes | European | Sub | 75768 | A=0.98666 | delA=0.01334 |
| gnomAD - Genomes | African | Sub | 41696 | A=0.99770 | delA=0.00230 |
| gnomAD - Genomes | American | Sub | 13616 | A=0.99434 | delA=0.00566 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3324 | A=0.9883 | delA=0.0117 |
| gnomAD - Genomes | East Asian | Sub | 3122 | A=1.0000 | delA=0.0000 |
| gnomAD - Genomes | Other | Sub | 2146 | A=0.9953 | delA=0.0047 |
| ExAC | Global | Study-wide | 101902 | A=0.992071 | delA=0.007929 |
| ExAC | Europe | Sub | 61446 | A=0.98822 | delA=0.01178 |
| ExAC | Asian | Sub | 22650 | A=0.99916 | delA=0.00084 |
| ExAC | American | Sub | 9768 | A=0.9958 | delA=0.0042 |
| ExAC | African | Sub | 7304 | A=0.9971 | delA=0.0029 |
| ExAC | Other | Sub | 734 | A=0.996 | delA=0.004 |
| Allele Frequency Aggregator | Total | Global | 92826 | A=0.99823 | delA=0.00177 |
| Allele Frequency Aggregator | European | Sub | 79814 | A=0.99833 | delA=0.00167 |
| Allele Frequency Aggregator | African | Sub | 4282 | A=0.9979 | delA=0.0021 |
| Allele Frequency Aggregator | Other | Sub | 3768 | A=0.9942 | delA=0.0058 |
| Allele Frequency Aggregator | Asian | Sub | 3330 | A=1.0000 | delA=0.0000 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 924 | A=1.000 | delA=0.000 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 434 | A=1.000 | delA=0.000 |
| Allele Frequency Aggregator | South Asian | Sub | 274 | A=1.000 | delA=0.000 |
| GO Exome Sequencing Project | Global | Study-wide | 12024 | A=0.99335 | delA=0.00665 |
| GO Exome Sequencing Project | European American | Sub | 8028 | A=0.9910 | delA=0.0090 |
| GO Exome Sequencing Project | African American | Sub | 3996 | A=0.9980 | delA=0.0020 |
| 1000Genomes_30x | Global | Study-wide | 6404 | A=0.9952 | delA=0.0048 |
| 1000Genomes_30x | African | Sub | 1786 | A=0.9994 | delA=0.0006 |
| 1000Genomes_30x | Europe | Sub | 1266 | A=0.9803 | delA=0.0197 |
| 1000Genomes_30x | South Asian | Sub | 1202 | A=0.9983 | delA=0.0017 |
| 1000Genomes_30x | East Asian | Sub | 1170 | A=1.0000 | delA=0.0000 |
| 1000Genomes_30x | American | Sub | 980 | A=0.997 | delA=0.003 |
| 1000Genomes | Global | Study-wide | 5008 | A=0.9952 | delA=0.0048 |
| 1000Genomes | African | Sub | 1322 | A=0.9992 | delA=0.0008 |
| 1000Genomes | East Asian | Sub | 1008 | A=1.0000 | delA=0.0000 |
| 1000Genomes | Europe | Sub | 1006 | A=0.9801 | delA=0.0199 |
| 1000Genomes | South Asian | Sub | 978 | A=0.999 | delA=0.001 |
| 1000Genomes | American | Sub | 694 | A=0.997 | delA=0.003 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | A=0.9888 | delA=0.0112 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | A=0.9900 | delA=0.0100 |
| Northern Sweden | ACPOP | Study-wide | 600 | A=0.997 | delA=0.003 |
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.42129084del |
| gene/pseudogene RefSeqGene (LRG_303) | NG_008376.4:g.6727del |
| GRCh38.p14 chr 22 novel patch HSCHR22_8_CTG1 | NW_015148968.1:g.6825del |
| GRCh38.p14 chr 22 novel patch HSCHR22_7_CTG1 | NW_014040931.1:g.22673del |
| GRCh38.p14 chr 22 novel patch HSCHR22_5_CTG1 | NW_009646208.1:g.14650del |
| GRCh38.p14 chr 22 alt locus HSCHR22_2_CTG1 | NW_004504305.1:g.51411del |
| GRCh38.p14 chr 22 alt locus HSCHR22_3_CTG1 | NT_187682.1:g.51425del |
| GRCh37.p13 chr 22 | NC_000022.10:g.42525086del |
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| CYP2D6 transcript variant 2 |
NM_001025161.3:c.353-140d… NM_001025161.3:c.353-140del |
N/A | Intron Variant |
| CYP2D6 transcript variant 1 | NM_000106.6:c.454del | W [TGG] > G [GG] | Coding Sequence Variant |
| cytochrome P450 2D6 isoform 1 | NP_000097.3:p.Trp152fs | W (Trp) > G (Gly) | Frameshift 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 |
|---|---|---|
| RCV000018387.28 | Debrisoquine, poor metabolism of | Drug-Response |
| RCV000734613.5 | not provided | Likely-Benign,Other |
| RCV001030443.2 | Deutetrabenazine response | Drug-Response |
| RCV001093716.2 | 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 | A= | delA |
|---|---|---|
| GRCh38.p14 chr 22 | NC_000022.11:g.42129084= | NC_000022.11:g.42129084del |
| gene/pseudogene RefSeqGene (LRG_303) | NG_008376.4:g.6727= | NG_008376.4:g.6727del |
| CYP2D6 transcript variant 1 | NM_000106.6:c.454= | NM_000106.6:c.454del |
| CYP2D6 transcript variant 1 | NM_000106.5:c.454= | NM_000106.5:c.454del |
| GRCh38.p14 chr 22 novel patch HSCHR22_8_CTG1 | NW_015148968.1:g.6825= | NW_015148968.1:g.6825del |
| GRCh38.p14 chr 22 novel patch HSCHR22_7_CTG1 | NW_014040931.1:g.22673= | NW_014040931.1:g.22673del |
| GRCh38.p14 chr 22 novel patch HSCHR22_5_CTG1 | NW_009646208.1:g.14650= | NW_009646208.1:g.14650del |
| GRCh38.p14 chr 22 alt locus HSCHR22_2_CTG1 | NW_004504305.1:g.51411= | NW_004504305.1:g.51411del |
| GRCh38.p14 chr 22 alt locus HSCHR22_3_CTG1 | NT_187682.1:g.51425= | NT_187682.1:g.51425del |
| GRCh37.p13 chr 22 | NC_000022.10:g.42525086= | NC_000022.10:g.42525086del |
| cytochrome P450 2D6 isoform 1 | NP_000097.3:p.Trp152= | NP_000097.3:p.Trp152fs |
| CYP2D6 transcript variant 2 | NM_001025161.2:c.353-140= | NM_001025161.2:c.353-140del |
| CYP2D6 transcript variant 2 | NM_001025161.3:c.353-140= | NM_001025161.3:c.353-140del |
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 | HGBASE | ss7985784 | Mar 31, 2003 (113) |
| 2 | BIOVENTURES | ss32476043 | May 24, 2005 (126) |
| 3 | PHARMGKB_COBRA | ss69365828 | May 17, 2007 (127) |
| 4 | 1000GENOMES | ss499881210 | May 04, 2012 (137) |
| 5 | OMIM-CURATED-RECORDS | ss825077089 | Jun 20, 2013 (137) |
| 6 | EVA-GONL | ss995393811 | Aug 21, 2014 (142) |
| 7 | 1000GENOMES | ss1379076283 | Aug 21, 2014 (142) |
| 8 | EVA_DECODE | ss1699465074 | Apr 01, 2015 (144) |
| 9 | EVA_UK10K_ALSPAC | ss1709606615 | Apr 01, 2015 (144) |
| 10 | EVA_UK10K_TWINSUK | ss1709606802 | Apr 01, 2015 (144) |
| 11 | EVA_EXAC | ss1712254308 | Apr 01, 2015 (144) |
| 12 | ILLUMINA | ss1959984047 | Feb 12, 2016 (147) |
| 13 | ILLUMINA | ss2710959489 | Nov 08, 2017 (151) |
| 14 | GNOMAD | ss2745191909 | Nov 08, 2017 (151) |
| 15 | GNOMAD | ss2750571749 | Nov 08, 2017 (151) |
| 16 | GNOMAD | ss2974893683 | Nov 08, 2017 (151) |
| 17 | AFFY | ss2985240507 | Nov 08, 2017 (151) |
| 18 | AFFY | ss2985857671 | Nov 08, 2017 (151) |
| 19 | SWEGEN | ss3019375541 | Nov 08, 2017 (151) |
| 20 | ILLUMINA | ss3022190901 | Nov 08, 2017 (151) |
| 21 | ILLUMINA | ss3022190902 | Nov 08, 2017 (151) |
| 22 | ILLUMINA | ss3652655253 | Oct 12, 2018 (152) |
| 23 | ILLUMINA | ss3652655254 | Oct 12, 2018 (152) |
| 24 | ILLUMINA | ss3654008761 | Oct 12, 2018 (152) |
| 25 | EVA_DECODE | ss3708287362 | Jul 13, 2019 (153) |
| 26 | ILLUMINA | ss3725972593 | Jul 13, 2019 (153) |
| 27 | ACPOP | ss3743969270 | Jul 13, 2019 (153) |
| 28 | EVA | ss3825454861 | Apr 27, 2020 (154) |
| 29 | EVA | ss3836012235 | Apr 27, 2020 (154) |
| 30 | EVA | ss3986866475 | Apr 26, 2021 (155) |
| 31 | TOPMED | ss5110780740 | Apr 26, 2021 (155) |
| 32 | EVA | ss5237676622 | Oct 16, 2022 (156) |
| 33 | 1000G_HIGH_COVERAGE | ss5311255665 | Oct 16, 2022 (156) |
| 34 | HUGCELL_USP | ss5503082686 | Oct 16, 2022 (156) |
| 35 | 1000G_HIGH_COVERAGE | ss5618884821 | Oct 16, 2022 (156) |
| 36 | SANFORD_IMAGENETICS | ss5624504245 | Oct 16, 2022 (156) |
| 37 | SANFORD_IMAGENETICS | ss5664576735 | Oct 16, 2022 (156) |
| 38 | EVA | ss5822131245 | Oct 16, 2022 (156) |
| 39 | EVA | ss5848570319 | Oct 16, 2022 (156) |
| 40 | EVA | ss5959434922 | Oct 16, 2022 (156) |
| 41 | 1000Genomes | NC_000022.10 - 42525086 | Oct 12, 2018 (152) |
| 42 | 1000Genomes_30x | NC_000022.11 - 42129084 | Oct 16, 2022 (156) |
| 43 | The Avon Longitudinal Study of Parents and Children | NC_000022.10 - 42525086 | Oct 12, 2018 (152) |
| 44 | ExAC | NC_000022.10 - 42525086 | Oct 12, 2018 (152) |
| 45 | gnomAD - Genomes | NC_000022.11 - 42129084 | Apr 26, 2021 (155) |
| 46 | gnomAD - Exomes | NC_000022.10 - 42525086 | Jul 13, 2019 (153) |
| 47 | GO Exome Sequencing Project | NC_000022.10 - 42525086 | Oct 12, 2018 (152) |
| 48 | Northern Sweden | NC_000022.10 - 42525086 | Jul 13, 2019 (153) |
| 49 | TopMed | NC_000022.11 - 42129084 | Apr 26, 2021 (155) |
| 50 | UK 10K study - Twins | NC_000022.10 - 42525086 | Oct 12, 2018 (152) |
| 51 | ALFA | NC_000022.11 - 42129084 | Apr 26, 2021 (155) |
| 52 | ClinVar | RCV000018387.28 | Oct 12, 2018 (152) |
| 53 | ClinVar | RCV000734613.5 | Oct 16, 2022 (156) |
| 54 | ClinVar | RCV001030443.2 | Oct 16, 2022 (156) |
| 55 | ClinVar | RCV001093716.2 | 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) |
|---|---|
| rs11568727 | Apr 05, 2004 (121) |
| rs28371709 | Mar 10, 2006 (126) |
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss1699465074 | NC_000022.9:40855029:A: | NC_000022.11:42129083:A: | (self) |
| 80894572, 44747537, 5962776, 14524690, 1911690, 17254135, 44747537, ss499881210, ss995393811, ss1379076283, ss1709606615, ss1709606802, ss1712254308, ss1959984047, ss2710959489, ss2745191909, ss2750571749, ss2974893683, ss2985240507, ss2985857671, ss3019375541, ss3022190901, ss3022190902, ss3652655253, ss3652655254, ss3654008761, ss3743969270, ss3825454861, ss3836012235, ss3986866475, ss5624504245, ss5664576735, ss5822131245, ss5848570319, ss5959434922 | NC_000022.10:42525085:A: | NC_000022.11:42129083:A: | (self) |
| RCV000018387.28, RCV000734613.5, RCV001030443.2, RCV001093716.2, 106410756, 571270028, 385889687, 5988074168, ss825077089, ss3708287362, ss3725972593, ss5110780740, ss5237676622, ss5311255665, ss5503082686, ss5618884821 | NC_000022.11:42129083:A: | NC_000022.11:42129083:A: | (self) |
| ss7985784, ss32476043, ss69365828 | NT_011520.12:21915654:A: | NC_000022.11:42129083:A: | (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 |
|---|---|---|---|---|
| 7951238 | Identification of a new variant CYP2D6 allele with a single base deletion in exon 3 and its association with the poor metabolizer phenotype. | Saxena R et al. | 1994 | Human molecular genetics |
| 19639055 | ||||
| 20174590 | Response to serotonin reuptake inhibitors in OCD is not influenced by common CYP2D6 polymorphisms. | Van Nieuwerburgh FC et al. | 2009 | International journal of psychiatry in clinical practice |
| 20548328 | High-efficiency genotype analysis from formalin-fixed, paraffin-embedded tumor tissues. | Sikora MJ et al. | 2011 | The pharmacogenomics journal |
| 20847277 | Genotyping of DNA samples isolated from formalin-fixed paraffin-embedded tissues using preamplification. | Baak-Pablo R et al. | 2010 | The Journal of molecular diagnostics |
| 21480951 | Impact of CYP2D6, CYP3A5, CYP2C9 and CYP2C19 polymorphisms on tamoxifen pharmacokinetics in Asian breast cancer patients. | Lim JS et al. | 2011 | British journal of clinical pharmacology |
| 21790905 | CYP2B6 SNPs are associated with methadone dose required for effective treatment of opioid addiction. | Levran O et al. | 2013 | Addiction biology |
| 22482072 | Genomics of Dementia: APOE- and CYP2D6-Related Pharmacogenetics. | Cacabelos R et al. | 2012 | International journal of Alzheimer's disease |
| 23226064 | Pharmacogenomic considerations in opioid analgesia. | Vuilleumier PH et al. | 2012 | Pharmacogenomics and personalized medicine |
| 24151610 | Polymorphisms in the human cytochrome P450 and arylamine N-acetyltransferase: susceptibility to head and neck cancers. | Khlifi R et al. | 2013 | BioMed research international |
| 24779372 | Applying genome-wide gene-based expression quantitative trait locus mapping to study population ancestry and pharmacogenetics. | Yang HC et al. | 2014 | BMC genomics |
| 24944790 | Screening for 392 polymorphisms in 141 pharmacogenes. | Kim JY et al. | 2014 | Biomedical reports |
| 25047911 | Response to CYP2D6 substrate antidepressants is predicted by a CYP2D6 composite phenotype based on genotype and comedications with CYP2D6 inhibitors. | Gressier F et al. | 2015 | Journal of neural transmission (Vienna, Austria |
| 26369774 | Impact of New Genomic Technologies on Understanding Adverse Drug Reactions. | Maggo SD et al. | 2016 | Clinical pharmacokinetics |
| 26785747 | Polymorphisms in genes involved in the absorption, distribution, metabolism, and excretion of drugs in the Kazakhs of Kazakhstan. | Iskakova AN et al. | 2016 | BMC genetics |
| 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 |
| 27108086 | Multiplex SNaPshot-a new simple and efficient CYP2D6 and ADRB1 genotyping method. | Ben S et al. | 2016 | Human genomics |
| 27171561 | Liver Function Test Abnormalities in Depressed Patients Treated with Antidepressants: A Real-World Systematic Observational Study in Psychiatric Settings. | Voican CS et al. | 2016 | PloS one |
| 27536078 | Factors affecting the development of adverse drug reactions to β-blockers in hospitalized cardiac patient population. | Mugoša S et al. | 2016 | Patient preference and adherence |
| 27785397 | CYP2D6 allele distribution in Macedonians, Albanians and Romanies in the Republic of Macedonia. | Kuzmanovska M et al. | 2015 | Balkan journal of medical genetics |
| 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 |
| 29681089 | Genetic variation in biotransformation enzymes, air pollution exposures, and risk of spina bifida. | Padula AM et al. | 2018 | American journal of medical genetics. Part A |
| 30093869 | Biological Predictors of Clozapine Response: A Systematic Review. | Samanaite R et al. | 2018 | Frontiers in psychiatry |
| 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 |
| 31086207 | Implications of genetic variation of common Drug Metabolizing Enzymes and ABC Transporters among the Pakistani Population. | Afsar NA et al. | 2019 | 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 |
| 34385834 | Individualized Drugs' Selection by Evaluation of Drug Properties, Pharmacogenomics and Clinical Parameters: Performance of a Bioinformatic Tool Compared to a Clinically Established Counselling Process. | Borro M et al. | 2021 | Pharmacogenomics and personalized medicine |
| 34621706 | Comprehensive analysis of important pharmacogenes in Koreans using the DMET™ platform. | Kim B et al. | 2021 | Translational and clinical pharmacology |
| 34958284 | Warfarin Pharmacogenomics for Precision Medicine in Real-Life Clinical Practice in Southern Africa: Harnessing 73 Variants in 29 Pharmacogenes. | Muyambo S et al. | 2022 | Omics |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
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.
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.