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.
rs8192709
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
- chr19:40991369 (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>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.047240 (12504/264690, TOPMED)T=0.047872 (12036/251420, GnomAD_exome)T=0.048966 (6860/140096, GnomAD) (+ 22 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- CYP2B6 : Missense Variant
- Publications
- 23 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
| Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|
| Total | Global | 92252 | C=0.94891 | T=0.05109 |
| European | Sub | 60920 | C=0.94419 | T=0.05581 |
| African | Sub | 13326 | C=0.96398 | T=0.03602 |
| African Others | Sub | 460 | C=0.965 | T=0.035 |
| African American | Sub | 12866 | C=0.96394 | T=0.03606 |
| Asian | Sub | 254 | C=0.949 | T=0.051 |
| East Asian | Sub | 158 | C=0.956 | T=0.044 |
| Other Asian | Sub | 96 | C=0.94 | T=0.06 |
| Latin American 1 | Sub | 956 | C=0.927 | T=0.073 |
| Latin American 2 | Sub | 4874 | C=0.9744 | T=0.0256 |
| South Asian | Sub | 156 | C=0.968 | T=0.032 |
| Other | Sub | 11766 | C=0.94731 | T=0.05269 |
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=0.952760 | T=0.047240 |
| gnomAD - Exomes | Global | Study-wide | 251420 | C=0.952128 | T=0.047872 |
| gnomAD - Exomes | European | Sub | 135356 | C=0.945108 | T=0.054892 |
| gnomAD - Exomes | Asian | Sub | 49006 | C=0.96368 | T=0.03632 |
| gnomAD - Exomes | American | Sub | 34592 | C=0.96875 | T=0.03125 |
| gnomAD - Exomes | African | Sub | 16248 | C=0.96264 | T=0.03736 |
| gnomAD - Exomes | Ashkenazi Jewish | Sub | 10080 | C=0.92014 | T=0.07986 |
| gnomAD - Exomes | Other | Sub | 6138 | C=0.9457 | T=0.0543 |
| gnomAD - Genomes | Global | Study-wide | 140096 | C=0.951034 | T=0.048966 |
| gnomAD - Genomes | European | Sub | 75916 | C=0.94631 | T=0.05369 |
| gnomAD - Genomes | African | Sub | 41938 | C=0.96383 | T=0.03617 |
| gnomAD - Genomes | American | Sub | 13648 | C=0.94798 | T=0.05202 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3318 | C=0.9123 | T=0.0877 |
| gnomAD - Genomes | East Asian | Sub | 3126 | C=0.9520 | T=0.0480 |
| gnomAD - Genomes | Other | Sub | 2150 | C=0.9460 | T=0.0540 |
| ExAC | Global | Study-wide | 121344 | C=0.951040 | T=0.048960 |
| ExAC | Europe | Sub | 73322 | C=0.94150 | T=0.05850 |
| ExAC | Asian | Sub | 25158 | C=0.96506 | T=0.03494 |
| ExAC | American | Sub | 11570 | C=0.97113 | T=0.02887 |
| ExAC | African | Sub | 10386 | C=0.96312 | T=0.03688 |
| ExAC | Other | Sub | 908 | C=0.938 | T=0.062 |
| Allele Frequency Aggregator | Total | Global | 75908 | C=0.94803 | T=0.05197 |
| Allele Frequency Aggregator | European | Sub | 50838 | C=0.94357 | T=0.05643 |
| Allele Frequency Aggregator | Other | Sub | 10320 | C=0.94622 | T=0.05378 |
| Allele Frequency Aggregator | African | Sub | 8510 | C=0.9638 | T=0.0362 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 4874 | C=0.9744 | T=0.0256 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 956 | C=0.927 | T=0.073 |
| Allele Frequency Aggregator | Asian | Sub | 254 | C=0.949 | T=0.051 |
| Allele Frequency Aggregator | South Asian | Sub | 156 | C=0.968 | T=0.032 |
| 14KJPN | JAPANESE | Study-wide | 28258 | C=0.94494 | T=0.05506 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | C=0.94475 | T=0.05525 |
| GO Exome Sequencing Project | Global | Study-wide | 13006 | C=0.95171 | T=0.04829 |
| GO Exome Sequencing Project | European American | Sub | 8600 | C=0.9464 | T=0.0536 |
| GO Exome Sequencing Project | African American | Sub | 4406 | C=0.9621 | T=0.0379 |
| 1000Genomes_30x | Global | Study-wide | 6404 | C=0.9519 | T=0.0481 |
| 1000Genomes_30x | African | Sub | 1786 | C=0.9597 | T=0.0403 |
| 1000Genomes_30x | Europe | Sub | 1266 | C=0.9368 | T=0.0632 |
| 1000Genomes_30x | South Asian | Sub | 1202 | C=0.9567 | T=0.0433 |
| 1000Genomes_30x | East Asian | Sub | 1170 | C=0.9513 | T=0.0487 |
| 1000Genomes_30x | American | Sub | 980 | C=0.952 | T=0.048 |
| 1000Genomes | Global | Study-wide | 5008 | C=0.9525 | T=0.0475 |
| 1000Genomes | African | Sub | 1322 | C=0.9584 | T=0.0416 |
| 1000Genomes | East Asian | Sub | 1008 | C=0.9534 | T=0.0466 |
| 1000Genomes | Europe | Sub | 1006 | C=0.9374 | T=0.0626 |
| 1000Genomes | South Asian | Sub | 978 | C=0.956 | T=0.044 |
| 1000Genomes | American | Sub | 694 | C=0.957 | T=0.043 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.9569 | T=0.0431 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.9542 | T=0.0458 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.9744 | T=0.0256 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | C=0.9700 | T=0.0300 |
| HapMap | Global | Study-wide | 1402 | C=0.9551 | T=0.0449 |
| HapMap | American | Sub | 760 | C=0.963 | T=0.037 |
| HapMap | African | Sub | 390 | C=0.933 | T=0.067 |
| HapMap | Asian | Sub | 252 | C=0.964 | T=0.036 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.932 | T=0.068 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 612 | C=0.949 | T=0.051 |
| Northern Sweden | ACPOP | Study-wide | 600 | C=0.937 | T=0.063 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.957 | T=0.043 |
| FINRISK | Finnish from FINRISK project | Study-wide | 304 | C=0.957 | T=0.043 |
| Qatari | Global | Study-wide | 216 | C=0.907 | T=0.093 |
| SGDP_PRJ | Global | Study-wide | 58 | C=0.48 | T=0.52 |
| The Danish reference pan genome | Danish | Study-wide | 40 | C=0.95 | T=0.05 |
| Siberian | Global | Study-wide | 4 | C=0.5 | T=0.5 |
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 19 | NC_000019.10:g.40991369C>A |
| GRCh38.p14 chr 19 | NC_000019.10:g.40991369C>T |
| GRCh37.p13 chr 19 | NC_000019.9:g.41497274C>A |
| GRCh37.p13 chr 19 | NC_000019.9:g.41497274C>T |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.5071C>A |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.5071C>T |
| LOC110599575 genomic region | NG_055439.1:g.2417C>A |
| LOC110599575 genomic region | NG_055439.1:g.2417C>T |
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| CYP2B6 transcript | NM_000767.5:c.64C>A | R [CGC] > S [AGC] | Coding Sequence Variant |
| cytochrome P450 2B6 | NP_000758.1:p.Arg22Ser | R (Arg) > S (Ser) | Missense Variant |
| CYP2B6 transcript | NM_000767.5:c.64C>T | R [CGC] > C [TGC] | Coding Sequence Variant |
| cytochrome P450 2B6 | NP_000758.1:p.Arg22Cys | R (Arg) > C (Cys) | 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.
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 | T |
|---|---|---|---|
| GRCh38.p14 chr 19 | NC_000019.10:g.40991369= | NC_000019.10:g.40991369C>A | NC_000019.10:g.40991369C>T |
| GRCh37.p13 chr 19 | NC_000019.9:g.41497274= | NC_000019.9:g.41497274C>A | NC_000019.9:g.41497274C>T |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.5071= | NG_007929.1:g.5071C>A | NG_007929.1:g.5071C>T |
| CYP2B6 transcript | NM_000767.5:c.64= | NM_000767.5:c.64C>A | NM_000767.5:c.64C>T |
| CYP2B6 transcript | NM_000767.4:c.64= | NM_000767.4:c.64C>A | NM_000767.4:c.64C>T |
| LOC110599575 genomic region | NG_055439.1:g.2417= | NG_055439.1:g.2417C>A | NG_055439.1:g.2417C>T |
| cytochrome P450 2B6 | NP_000758.1:p.Arg22= | NP_000758.1:p.Arg22Ser | NP_000758.1:p.Arg22Cys |
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 | RIKENSNPRC | ss12587409 | Aug 27, 2003 (117) |
| 2 | BIOVENTURES | ss32475201 | May 24, 2005 (125) |
| 3 | ABI | ss40991366 | Mar 13, 2006 (126) |
| 4 | EGP_SNPS | ss49853069 | Mar 13, 2006 (126) |
| 5 | AFFY | ss76575761 | Dec 06, 2007 (129) |
| 6 | SI_EXO | ss76889652 | Dec 06, 2007 (129) |
| 7 | CORNELL | ss86269994 | Mar 23, 2008 (129) |
| 8 | KRIBB_YJKIM | ss104978208 | Feb 05, 2009 (130) |
| 9 | ENSEMBL | ss139695824 | Dec 01, 2009 (131) |
| 10 | ILLUMINA | ss160954832 | Dec 01, 2009 (131) |
| 11 | COMPLETE_GENOMICS | ss171769253 | Jul 04, 2010 (132) |
| 12 | BCM-HGSC-SUB | ss208489222 | Jul 04, 2010 (132) |
| 13 | 1000GENOMES | ss228143858 | Jul 14, 2010 (132) |
| 14 | 1000GENOMES | ss237680412 | Jul 15, 2010 (132) |
| 15 | ILLUMINA | ss244313073 | Jul 04, 2010 (132) |
| 16 | NHLBI-ESP | ss342498900 | May 09, 2011 (134) |
| 17 | ILLUMINA | ss482793174 | Sep 08, 2015 (146) |
| 18 | 1000GENOMES | ss491159637 | May 04, 2012 (137) |
| 19 | EXOME_CHIP | ss491547628 | May 04, 2012 (137) |
| 20 | CLINSEQ_SNP | ss491767695 | May 04, 2012 (137) |
| 21 | TISHKOFF | ss565988600 | Apr 25, 2013 (138) |
| 22 | SSMP | ss661853428 | Apr 25, 2013 (138) |
| 23 | JMKIDD_LAB | ss974506255 | Aug 21, 2014 (142) |
| 24 | EVA-GONL | ss994309033 | Aug 21, 2014 (142) |
| 25 | JMKIDD_LAB | ss1067589682 | Aug 21, 2014 (142) |
| 26 | JMKIDD_LAB | ss1081910094 | Aug 21, 2014 (142) |
| 27 | 1000GENOMES | ss1363201418 | Aug 21, 2014 (142) |
| 28 | DDI | ss1428405588 | Apr 01, 2015 (144) |
| 29 | EVA_GENOME_DK | ss1578643378 | Apr 01, 2015 (144) |
| 30 | EVA_FINRISK | ss1584117697 | Apr 01, 2015 (144) |
| 31 | EVA_UK10K_ALSPAC | ss1637986747 | Apr 01, 2015 (144) |
| 32 | EVA_UK10K_TWINSUK | ss1680980780 | Apr 01, 2015 (144) |
| 33 | EVA_EXAC | ss1693617191 | Apr 01, 2015 (144) |
| 34 | EVA_DECODE | ss1698362729 | Apr 01, 2015 (144) |
| 35 | EVA_MGP | ss1711514024 | Apr 01, 2015 (144) |
| 36 | WEILL_CORNELL_DGM | ss1937802663 | Feb 12, 2016 (147) |
| 37 | JJLAB | ss2029680641 | Sep 14, 2016 (149) |
| 38 | USC_VALOUEV | ss2158221722 | Dec 20, 2016 (150) |
| 39 | GRF | ss2702832473 | Nov 08, 2017 (151) |
| 40 | GNOMAD | ss2744018498 | Nov 08, 2017 (151) |
| 41 | GNOMAD | ss2750195307 | Nov 08, 2017 (151) |
| 42 | GNOMAD | ss2962974204 | Nov 08, 2017 (151) |
| 43 | AFFY | ss2985142460 | Nov 08, 2017 (151) |
| 44 | AFFY | ss2985773732 | Nov 08, 2017 (151) |
| 45 | SWEGEN | ss3017488657 | Nov 08, 2017 (151) |
| 46 | CSIRBIOHTS | ss3029638643 | Nov 08, 2017 (151) |
| 47 | CSHL | ss3352307240 | Nov 08, 2017 (151) |
| 48 | ILLUMINA | ss3636423352 | Oct 12, 2018 (152) |
| 49 | OMUKHERJEE_ADBS | ss3646537105 | Oct 12, 2018 (152) |
| 50 | URBANLAB | ss3650920134 | Oct 12, 2018 (152) |
| 51 | ILLUMINA | ss3653915068 | Oct 12, 2018 (152) |
| 52 | EVA_DECODE | ss3702786750 | Jul 13, 2019 (153) |
| 53 | ACPOP | ss3743047391 | Jul 13, 2019 (153) |
| 54 | EVA | ss3756075656 | Jul 13, 2019 (153) |
| 55 | PACBIO | ss3788533821 | Jul 13, 2019 (153) |
| 56 | PACBIO | ss3793443796 | Jul 13, 2019 (153) |
| 57 | PACBIO | ss3798330620 | Jul 13, 2019 (153) |
| 58 | KHV_HUMAN_GENOMES | ss3821323502 | Jul 13, 2019 (153) |
| 59 | EVA | ss3825291200 | Apr 27, 2020 (154) |
| 60 | SGDP_PRJ | ss3888237196 | Apr 27, 2020 (154) |
| 61 | KRGDB | ss3938354012 | Apr 27, 2020 (154) |
| 62 | KOGIC | ss3981371594 | Apr 27, 2020 (154) |
| 63 | FSA-LAB | ss3984154962 | Apr 26, 2021 (155) |
| 64 | EVA | ss3986798759 | Apr 26, 2021 (155) |
| 65 | TOPMED | ss5075139826 | Apr 26, 2021 (155) |
| 66 | TOMMO_GENOMICS | ss5227804818 | Apr 26, 2021 (155) |
| 67 | EVA | ss5236961589 | Apr 26, 2021 (155) |
| 68 | EVA | ss5237247519 | Apr 26, 2021 (155) |
| 69 | EVA | ss5237597294 | Apr 26, 2021 (155) |
| 70 | EVA | ss5237672696 | Oct 16, 2022 (156) |
| 71 | 1000G_HIGH_COVERAGE | ss5307281596 | Oct 16, 2022 (156) |
| 72 | TRAN_CS_UWATERLOO | ss5314453317 | Oct 16, 2022 (156) |
| 73 | EVA | ss5434900573 | Oct 16, 2022 (156) |
| 74 | HUGCELL_USP | ss5499801464 | Oct 16, 2022 (156) |
| 75 | EVA | ss5512105489 | Oct 16, 2022 (156) |
| 76 | EVA | ss5512473948 | Oct 16, 2022 (156) |
| 77 | 1000G_HIGH_COVERAGE | ss5613027411 | Oct 16, 2022 (156) |
| 78 | EVA | ss5624090653 | Oct 16, 2022 (156) |
| 79 | SANFORD_IMAGENETICS | ss5662410981 | Oct 16, 2022 (156) |
| 80 | TOMMO_GENOMICS | ss5786452940 | Oct 16, 2022 (156) |
| 81 | YY_MCH | ss5817610388 | Oct 16, 2022 (156) |
| 82 | EVA | ss5840563169 | Oct 16, 2022 (156) |
| 83 | EVA | ss5847497252 | Oct 16, 2022 (156) |
| 84 | EVA | ss5847844563 | Oct 16, 2022 (156) |
| 85 | EVA | ss5848493461 | Oct 16, 2022 (156) |
| 86 | EVA | ss5852294063 | Oct 16, 2022 (156) |
| 87 | EVA | ss5928139835 | Oct 16, 2022 (156) |
| 88 | EVA | ss5953824605 | Oct 16, 2022 (156) |
| 89 | EVA | ss5979546723 | Oct 16, 2022 (156) |
| 90 | 1000Genomes | NC_000019.9 - 41497274 | Oct 12, 2018 (152) |
| 91 | 1000Genomes_30x | NC_000019.10 - 40991369 | Oct 16, 2022 (156) |
| 92 | The Avon Longitudinal Study of Parents and Children | NC_000019.9 - 41497274 | Oct 12, 2018 (152) |
| 93 | ExAC | NC_000019.9 - 41497274 | Oct 12, 2018 (152) |
| 94 | FINRISK | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 95 | The Danish reference pan genome | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 96 | gnomAD - Genomes | NC_000019.10 - 40991369 | Apr 26, 2021 (155) |
| 97 | gnomAD - Exomes | NC_000019.9 - 41497274 | Jul 13, 2019 (153) |
| 98 | GO Exome Sequencing Project | NC_000019.9 - 41497274 | Oct 12, 2018 (152) |
| 99 | Genome of the Netherlands Release 5 | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 100 | HapMap | NC_000019.10 - 40991369 | Apr 27, 2020 (154) |
| 101 | KOREAN population from KRGDB | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 102 | Korean Genome Project | NC_000019.10 - 40991369 | Apr 27, 2020 (154) |
| 103 | Medical Genome Project healthy controls from Spanish population | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 104 | Northern Sweden | NC_000019.9 - 41497274 | Jul 13, 2019 (153) |
| 105 | Qatari | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 106 | SGDP_PRJ | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 107 | Siberian | NC_000019.9 - 41497274 | Apr 27, 2020 (154) |
| 108 | 8.3KJPN | NC_000019.9 - 41497274 | Apr 26, 2021 (155) |
| 109 | 14KJPN | NC_000019.10 - 40991369 | Oct 16, 2022 (156) |
| 110 | TopMed | NC_000019.10 - 40991369 | Apr 26, 2021 (155) |
| 111 | UK 10K study - Twins | NC_000019.9 - 41497274 | Oct 12, 2018 (152) |
| 112 | A Vietnamese Genetic Variation Database | NC_000019.9 - 41497274 | Jul 13, 2019 (153) |
| 113 | ALFA | NC_000019.10 - 40991369 | Apr 26, 2021 (155) |
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).
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss5512473948 | NC_000019.9:41497273:C:A | NC_000019.10:40991368:C:A | |
| ss171769253, ss208489222, ss491767695, ss1698362729 | NC_000019.8:46189113:C:T | NC_000019.10:40991368:C:T | (self) |
| 76610063, 42430783, 4122679, 114158, 4825709, 13331980, 1748161, 18901909, 45531406, 629784, 16332256, 19844585, 40254176, 10738076, 85774125, 42430783, 9371841, ss228143858, ss237680412, ss342498900, ss482793174, ss491159637, ss491547628, ss565988600, ss661853428, ss974506255, ss994309033, ss1067589682, ss1081910094, ss1363201418, ss1428405588, ss1578643378, ss1584117697, ss1637986747, ss1680980780, ss1693617191, ss1711514024, ss1937802663, ss2029680641, ss2158221722, ss2702832473, ss2744018498, ss2750195307, ss2962974204, ss2985142460, ss2985773732, ss3017488657, ss3029638643, ss3352307240, ss3636423352, ss3646537105, ss3653915068, ss3743047391, ss3756075656, ss3788533821, ss3793443796, ss3798330620, ss3825291200, ss3888237196, ss3938354012, ss3984154962, ss3986798759, ss5227804818, ss5237597294, ss5434900573, ss5512105489, ss5512473948, ss5624090653, ss5662410981, ss5840563169, ss5847497252, ss5847844563, ss5848493461, ss5953824605, ss5979546723 | NC_000019.9:41497273:C:T | NC_000019.10:40991368:C:T | (self) |
| 100553346, 540319014, 1697408, 37749595, 120290044, 290685490, 10649077012, ss3650920134, ss3702786750, ss3821323502, ss3981371594, ss5075139826, ss5236961589, ss5237247519, ss5237672696, ss5307281596, ss5314453317, ss5499801464, ss5613027411, ss5786452940, ss5817610388, ss5852294063, ss5928139835 | NC_000019.10:40991368:C:T | NC_000019.10:40991368:C:T | (self) |
| ss76889652 | NT_011109.15:13765491:C:T | NC_000019.10:40991368:C:T | (self) |
| ss12587409, ss32475201, ss40991366, ss49853069, ss76575761, ss86269994, ss104978208, ss139695824, ss160954832, ss244313073 | NT_011109.16:13765491:C:T | NC_000019.10:40991368: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 |
|---|---|---|---|---|
| 19076156 | Polymorphisms of drug-metabolizing enzymes (GST, CYP2B6 and CYP3A) affect the pharmacokinetics of thiotepa and tepa. | Ekhart C et al. | 2009 | British journal of clinical pharmacology |
| 19916993 | A novel polymorphism in ABCB1 gene, CYP2B6*6 and sex predict single-dose efavirenz population pharmacokinetics in Ugandans. | Mukonzo JK et al. | 2009 | 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 |
| 21886015 | Cytochrome P450 CYP2B6 genotypes and haplotypes in a Colombian population: identification of novel variant CYP2B6 alleles. | Restrepo JG et al. | 2011 | Pharmacogenetics and genomics |
| 22552919 | Bioinformatics and variability in drug response: a protein structural perspective. | Lahti JL et al. | 2012 | Journal of the Royal Society, Interface |
| 23133420 | Pharmacogenomic Diversity among Brazilians: Influence of Ancestry, Self-Reported Color, and Geographical Origin. | Suarez-Kurtz G et al. | 2012 | Frontiers in pharmacology |
| 23775025 | Common variants in genes coding for chemotherapy metabolizing enzymes, transporters, and targets: a case-control study of contralateral breast cancer risk in the WECARE Study. | Brooks JD et al. | 2013 | Cancer causes & control |
| 24885815 | Genetic variation in the CYP2B6 gene is related to circulating 2,2',4,4'-tetrabromodiphenyl ether (BDE-47) concentrations: an observational population-based study. | Penell J et al. | 2014 | Environmental health |
| 24944790 | Screening for 392 polymorphisms in 141 pharmacogenes. | Kim JY et al. | 2014 | Biomedical reports |
| 26553801 | WITHDRAWN--a resource for withdrawn and discontinued drugs. | Siramshetty VB et al. | 2016 | Nucleic acids research |
| 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 |
| 28184434 | Tell-Tale SNPs: The Role of CYP2B6 in Methadone Fatalities. | Ahmad T et al. | 2017 | Journal of analytical toxicology |
| 29095103 | Distinctiveness of the Roma population within CYP2B6 worldwide variation. | Tomas Ž et al. | 2017 | Pharmacogenomics |
| 29133890 | Longrange PCR-based next-generation sequencing in pharmacokinetics and pharmacodynamics study of propofol among patients under general anaesthesia. | Zakerska-Banaszak O et al. | 2017 | Scientific reports |
| 30068618 | Cohort Profile: the Predictors of Breast Cancer Recurrence (ProBe CaRE) Premenopausal Breast Cancer Cohort Study in Denmark. | Collin LJ et al. | 2018 | BMJ open |
| 30452466 | Characterization of ADME genes variation in Roma and 20 populations worldwide. | Škarić-Jurić T et al. | 2018 | PloS one |
| 31270413 | ||||
| 32639515 | Bayesian Pathway Analysis for Complex Interactions. | Baurley JW et al. | 2020 | American journal of epidemiology |
| 33430289 | Combination of Genome-Wide Polymorphisms and Copy Number Variations of Pharmacogenes in Koreans. | Han N et al. | 2021 | Journal of 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 |
| 34572825 | Effect of Genetic Variation in CYP450 on Gonadal Impairment in a European Cohort of Female Childhood Cancer Survivors, Based on a Candidate Gene Approach: Results from the PanCareLIFE Study. | van der Perk MEM et al. | 2021 | Cancers |
| 34621706 | Comprehensive analysis of important pharmacogenes in Koreans using the DMET™ platform. | Kim B et al. | 2021 | Translational and clinical pharmacology |
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.