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.
rs2279345
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
- chr19:41009797 (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
- T>A / T>C / T>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.309460 (81911/264690, TOPMED)T=0.361366 (56363/155972, ALFA)T=0.326698 (45705/139900, GnomAD) (+ 22 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- CYP2B6 : Intron Variant
- Publications
- 18 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
Release Version: 20230706150541
| Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|
| Total | Global | 155972 | T=0.361366 | A=0.000000, C=0.638634 |
| European | Sub | 135468 | T=0.376960 | A=0.000000, C=0.623040 |
| African | Sub | 5618 | T=0.2624 | A=0.0000, C=0.7376 |
| African Others | Sub | 204 | T=0.275 | A=0.000, C=0.725 |
| African American | Sub | 5414 | T=0.2619 | A=0.0000, C=0.7381 |
| Asian | Sub | 672 | T=0.326 | A=0.000, C=0.674 |
| East Asian | Sub | 536 | T=0.321 | A=0.000, C=0.679 |
| Other Asian | Sub | 136 | T=0.346 | A=0.000, C=0.654 |
| Latin American 1 | Sub | 826 | T=0.318 | A=0.000, C=0.682 |
| Latin American 2 | Sub | 6798 | T=0.1731 | A=0.0000, C=0.8269 |
| South Asian | Sub | 214 | T=0.220 | A=0.000, C=0.780 |
| Other | Sub | 6376 | T=0.3320 | A=0.0000, C=0.6680 |
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 | T=0.309460 | C=0.690540 |
| Allele Frequency Aggregator | Total | Global | 155972 | T=0.361366 | A=0.000000, C=0.638634 |
| Allele Frequency Aggregator | European | Sub | 135468 | T=0.376960 | A=0.000000, C=0.623040 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 6798 | T=0.1731 | A=0.0000, C=0.8269 |
| Allele Frequency Aggregator | Other | Sub | 6376 | T=0.3320 | A=0.0000, C=0.6680 |
| Allele Frequency Aggregator | African | Sub | 5618 | T=0.2624 | A=0.0000, C=0.7376 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 826 | T=0.318 | A=0.000, C=0.682 |
| Allele Frequency Aggregator | Asian | Sub | 672 | T=0.326 | A=0.000, C=0.674 |
| Allele Frequency Aggregator | South Asian | Sub | 214 | T=0.220 | A=0.000, C=0.780 |
| gnomAD - Genomes | Global | Study-wide | 139900 | T=0.326698 | C=0.673302 |
| gnomAD - Genomes | European | Sub | 75762 | T=0.39004 | C=0.60996 |
| gnomAD - Genomes | African | Sub | 41928 | T=0.25217 | C=0.74783 |
| gnomAD - Genomes | American | Sub | 13624 | T=0.21337 | C=0.78663 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3320 | T=0.3220 | C=0.6780 |
| gnomAD - Genomes | East Asian | Sub | 3114 | T=0.2967 | C=0.7033 |
| gnomAD - Genomes | Other | Sub | 2152 | T=0.3169 | C=0.6831 |
| The PAGE Study | Global | Study-wide | 78646 | T=0.25069 | C=0.74931 |
| The PAGE Study | AfricanAmerican | Sub | 32502 | T=0.25718 | C=0.74282 |
| The PAGE Study | Mexican | Sub | 10804 | T=0.18576 | C=0.81424 |
| The PAGE Study | Asian | Sub | 8308 | T=0.3229 | C=0.6771 |
| The PAGE Study | PuertoRican | Sub | 7916 | T=0.2654 | C=0.7346 |
| The PAGE Study | NativeHawaiian | Sub | 4534 | T=0.2071 | C=0.7929 |
| The PAGE Study | Cuban | Sub | 4220 | T=0.3137 | C=0.6863 |
| The PAGE Study | Dominican | Sub | 3824 | T=0.2524 | C=0.7476 |
| The PAGE Study | CentralAmerican | Sub | 2450 | T=0.1824 | C=0.8176 |
| The PAGE Study | SouthAmerican | Sub | 1978 | T=0.1886 | C=0.8114 |
| The PAGE Study | NativeAmerican | Sub | 1256 | T=0.2763 | C=0.7237 |
| The PAGE Study | SouthAsian | Sub | 854 | T=0.200 | C=0.800 |
| 14KJPN | JAPANESE | Study-wide | 28252 | T=0.32330 | C=0.67670 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | T=0.32214 | C=0.67786 |
| 1000Genomes_30x | Global | Study-wide | 6404 | T=0.2619 | C=0.7381 |
| 1000Genomes_30x | African | Sub | 1786 | T=0.2251 | C=0.7749 |
| 1000Genomes_30x | Europe | Sub | 1266 | T=0.3752 | C=0.6248 |
| 1000Genomes_30x | South Asian | Sub | 1202 | T=0.2130 | C=0.7870 |
| 1000Genomes_30x | East Asian | Sub | 1170 | T=0.3034 | C=0.6966 |
| 1000Genomes_30x | American | Sub | 980 | T=0.193 | C=0.807 |
| 1000Genomes | Global | Study-wide | 5008 | T=0.2652 | C=0.7348 |
| 1000Genomes | African | Sub | 1322 | T=0.2231 | C=0.7769 |
| 1000Genomes | East Asian | Sub | 1008 | T=0.3056 | C=0.6944 |
| 1000Genomes | Europe | Sub | 1006 | T=0.3777 | C=0.6223 |
| 1000Genomes | South Asian | Sub | 978 | T=0.211 | C=0.789 |
| 1000Genomes | American | Sub | 694 | T=0.200 | C=0.800 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | T=0.4133 | C=0.5867 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | T=0.3924 | C=0.6076 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | T=0.3669 | A=0.0000, C=0.6331, G=0.0000 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | T=0.2327 | C=0.7673 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | T=0.289 | C=0.711 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | T=0.227 | C=0.773 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | T=0.191 | C=0.809 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | T=0.334 | C=0.666 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | T=0.273 | C=0.727 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | T=0.009 | C=0.991 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | T=0.18 | C=0.82 |
| HapMap | Global | Study-wide | 1892 | T=0.2870 | C=0.7130 |
| HapMap | American | Sub | 770 | T=0.288 | C=0.712 |
| HapMap | African | Sub | 692 | T=0.244 | C=0.756 |
| HapMap | Asian | Sub | 254 | T=0.354 | C=0.646 |
| HapMap | Europe | Sub | 176 | T=0.352 | C=0.648 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | T=0.3483 | C=0.6517 |
| Genome-wide autozygosity in Daghestan | Global | Study-wide | 1134 | T=0.2363 | C=0.7637 |
| Genome-wide autozygosity in Daghestan | Daghestan | Sub | 626 | T=0.196 | C=0.804 |
| Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | T=0.236 | C=0.764 |
| Genome-wide autozygosity in Daghestan | Central Asia | Sub | 122 | T=0.320 | C=0.680 |
| Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | T=0.426 | C=0.574 |
| Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | T=0.18 | C=0.82 |
| Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | T=0.22 | C=0.78 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | T=0.389 | C=0.611 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 784 | T=0.351 | C=0.649 |
| CNV burdens in cranial meningiomas | CRM | Sub | 784 | T=0.351 | C=0.649 |
| Northern Sweden | ACPOP | Study-wide | 600 | T=0.407 | C=0.593 |
| SGDP_PRJ | Global | Study-wide | 536 | T=0.211 | C=0.789 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | T=0.996 | C=0.004 |
| Qatari | Global | Study-wide | 216 | T=0.162 | C=0.838 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 216 | T=0.366 | C=0.634 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 78 | T=0.41 | C=0.59 |
| Siberian | Global | Study-wide | 46 | T=0.20 | C=0.80 |
| The Danish reference pan genome | Danish | Study-wide | 40 | T=0.33 | C=0.68 |
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 19 | NC_000019.10:g.41009797T>A |
| GRCh38.p14 chr 19 | NC_000019.10:g.41009797T>C |
| GRCh38.p14 chr 19 | NC_000019.10:g.41009797T>G |
| GRCh37.p13 chr 19 | NC_000019.9:g.41515702T>A |
| GRCh37.p13 chr 19 | NC_000019.9:g.41515702T>C |
| GRCh37.p13 chr 19 | NC_000019.9:g.41515702T>G |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.23499T>A |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.23499T>C |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.23499T>G |
Gene: CYP2B6, cytochrome P450 family 2 subfamily B member 6 (plus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| CYP2B6 transcript | NM_000767.5:c.823-197T>A | N/A | Intron 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.
Not Reported in ClinVar
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 | T= | A | C | G |
|---|---|---|---|---|
| GRCh38.p14 chr 19 | NC_000019.10:g.41009797= | NC_000019.10:g.41009797T>A | NC_000019.10:g.41009797T>C | NC_000019.10:g.41009797T>G |
| GRCh37.p13 chr 19 | NC_000019.9:g.41515702= | NC_000019.9:g.41515702T>A | NC_000019.9:g.41515702T>C | NC_000019.9:g.41515702T>G |
| CYP2B6 RefSeqGene (LRG_1267) | NG_007929.1:g.23499= | NG_007929.1:g.23499T>A | NG_007929.1:g.23499T>C | NG_007929.1:g.23499T>G |
| CYP2B6 transcript | NM_000767.4:c.823-197= | NM_000767.4:c.823-197T>A | NM_000767.4:c.823-197T>C | NM_000767.4:c.823-197T>G |
| CYP2B6 transcript | NM_000767.5:c.823-197= | NM_000767.5:c.823-197T>A | NM_000767.5:c.823-197T>C | NM_000767.5:c.823-197T>G |
| CYP2B6 transcript variant X1 | XM_005258569.1:c.823-197= | XM_005258569.1:c.823-197T>A | XM_005258569.1:c.823-197T>C | XM_005258569.1:c.823-197T>G |
| CYP2B6 transcript variant X2 | XM_005258570.1:c.823-197= | XM_005258570.1:c.823-197T>A | XM_005258570.1:c.823-197T>C | XM_005258570.1:c.823-197T>G |
| CYP2B6 transcript variant X3 | XM_005258571.1:c.365-2501= | XM_005258571.1:c.365-2501T>A | XM_005258571.1:c.365-2501T>C | XM_005258571.1:c.365-2501T>G |
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#.
140 SubSNP, 25 Frequency submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | YUSUKE | ss3216914 | Sep 28, 2001 (100) |
| 2 | RIKENSNPRC | ss12587430 | Aug 26, 2003 (117) |
| 3 | CSHL-HAPMAP | ss16801945 | Feb 27, 2004 (120) |
| 4 | SSAHASNP | ss21540485 | Apr 05, 2004 (121) |
| 5 | PERLEGEN | ss24685341 | Sep 20, 2004 (123) |
| 6 | BIOVENTURES | ss32475225 | May 24, 2005 (130) |
| 7 | EGP_SNPS | ss49853126 | Mar 15, 2006 (126) |
| 8 | ILLUMINA | ss67241137 | Nov 29, 2006 (127) |
| 9 | ILLUMINA | ss67637834 | Nov 29, 2006 (127) |
| 10 | ILLUMINA | ss68201167 | Dec 12, 2006 (127) |
| 11 | PERLEGEN | ss69228569 | May 16, 2007 (127) |
| 12 | ILLUMINA | ss70719481 | May 26, 2008 (130) |
| 13 | ILLUMINA | ss71287759 | May 21, 2007 (130) |
| 14 | AFFY | ss74829868 | Aug 16, 2007 (128) |
| 15 | ILLUMINA | ss75118335 | Dec 06, 2007 (129) |
| 16 | KRIBB_YJKIM | ss84018350 | Dec 15, 2007 (130) |
| 17 | HGSV | ss85535671 | Dec 15, 2007 (130) |
| 18 | HUMANGENOME_JCVI | ss96267796 | Feb 06, 2009 (130) |
| 19 | 1000GENOMES | ss111388213 | Jan 25, 2009 (130) |
| 20 | 1000GENOMES | ss115146171 | Jan 25, 2009 (130) |
| 21 | ILLUMINA-UK | ss117708496 | Dec 01, 2009 (131) |
| 22 | ENSEMBL | ss136263075 | Dec 01, 2009 (131) |
| 23 | COMPLETE_GENOMICS | ss168210804 | Jul 04, 2010 (132) |
| 24 | COMPLETE_GENOMICS | ss169762657 | Jul 04, 2010 (132) |
| 25 | COMPLETE_GENOMICS | ss171769473 | Jul 04, 2010 (132) |
| 26 | BUSHMAN | ss203756747 | Jul 04, 2010 (132) |
| 27 | BCM-HGSC-SUB | ss208481208 | Jul 04, 2010 (132) |
| 28 | 1000GENOMES | ss228143943 | Jul 14, 2010 (132) |
| 29 | 1000GENOMES | ss237680484 | Jul 15, 2010 (132) |
| 30 | 1000GENOMES | ss243885823 | Jul 15, 2010 (132) |
| 31 | BL | ss255682085 | May 09, 2011 (134) |
| 32 | GMI | ss283213029 | May 04, 2012 (137) |
| 33 | GMI | ss287384257 | Apr 25, 2013 (138) |
| 34 | PJP | ss292179022 | May 09, 2011 (134) |
| 35 | ILLUMINA | ss480502813 | May 04, 2012 (137) |
| 36 | ILLUMINA | ss480517161 | May 04, 2012 (137) |
| 37 | ILLUMINA | ss481323727 | Sep 08, 2015 (146) |
| 38 | ILLUMINA | ss485048877 | May 04, 2012 (137) |
| 39 | ILLUMINA | ss537068137 | Sep 08, 2015 (146) |
| 40 | TISHKOFF | ss565988730 | Apr 25, 2013 (138) |
| 41 | SSMP | ss661853550 | Apr 25, 2013 (138) |
| 42 | ILLUMINA | ss778862767 | Sep 08, 2015 (146) |
| 43 | ILLUMINA | ss782970655 | Sep 08, 2015 (146) |
| 44 | ILLUMINA | ss783932222 | Sep 08, 2015 (146) |
| 45 | ILLUMINA | ss832226981 | Sep 08, 2015 (146) |
| 46 | ILLUMINA | ss832887896 | Jul 13, 2019 (153) |
| 47 | ILLUMINA | ss834323578 | Sep 08, 2015 (146) |
| 48 | EVA-GONL | ss994309202 | Aug 21, 2014 (142) |
| 49 | JMKIDD_LAB | ss1081910218 | Aug 21, 2014 (142) |
| 50 | 1000GENOMES | ss1363202176 | Aug 21, 2014 (142) |
| 51 | HAMMER_LAB | ss1397757867 | Sep 08, 2015 (146) |
| 52 | DDI | ss1428405624 | Apr 01, 2015 (144) |
| 53 | EVA_GENOME_DK | ss1578643461 | Apr 01, 2015 (144) |
| 54 | EVA_UK10K_ALSPAC | ss1637987076 | Apr 01, 2015 (144) |
| 55 | EVA_UK10K_TWINSUK | ss1680981109 | Apr 01, 2015 (144) |
| 56 | EVA_DECODE | ss1698362889 | Apr 01, 2015 (144) |
| 57 | EVA_MGP | ss1711514041 | Apr 01, 2015 (144) |
| 58 | EVA_SVP | ss1713663289 | Apr 01, 2015 (144) |
| 59 | ILLUMINA | ss1752285828 | Sep 08, 2015 (146) |
| 60 | HAMMER_LAB | ss1809311845 | Sep 08, 2015 (146) |
| 61 | WEILL_CORNELL_DGM | ss1937802835 | Feb 12, 2016 (147) |
| 62 | ILLUMINA | ss1959865261 | Feb 12, 2016 (147) |
| 63 | GENOMED | ss1968645344 | Jul 19, 2016 (147) |
| 64 | AMU | ss1971464668 | Jul 19, 2016 (147) |
| 65 | JJLAB | ss2029680733 | Sep 14, 2016 (149) |
| 66 | ILLUMINA | ss2094804049 | Dec 20, 2016 (150) |
| 67 | ILLUMINA | ss2095085047 | Dec 20, 2016 (150) |
| 68 | CLINVAR | ss2137495310 | Feb 23, 2017 (149) |
| 69 | USC_VALOUEV | ss2158221816 | Dec 20, 2016 (150) |
| 70 | SYSTEMSBIOZJU | ss2629337552 | Nov 08, 2017 (151) |
| 71 | ILLUMINA | ss2633541071 | Nov 08, 2017 (151) |
| 72 | GRF | ss2702832578 | Nov 08, 2017 (151) |
| 73 | GNOMAD | ss2962976144 | Nov 08, 2017 (151) |
| 74 | AFFY | ss2985774200 | Nov 08, 2017 (151) |
| 75 | SWEGEN | ss3017488935 | Nov 08, 2017 (151) |
| 76 | ILLUMINA | ss3021907019 | Nov 08, 2017 (151) |
| 77 | BIOINF_KMB_FNS_UNIBA | ss3028671964 | Nov 08, 2017 (151) |
| 78 | CSHL | ss3352307316 | Nov 08, 2017 (151) |
| 79 | ILLUMINA | ss3627934833 | Oct 12, 2018 (152) |
| 80 | ILLUMINA | ss3631512406 | Oct 12, 2018 (152) |
| 81 | ILLUMINA | ss3633180617 | Oct 12, 2018 (152) |
| 82 | ILLUMINA | ss3633891059 | Oct 12, 2018 (152) |
| 83 | ILLUMINA | ss3634736045 | Oct 12, 2018 (152) |
| 84 | ILLUMINA | ss3635577848 | Oct 12, 2018 (152) |
| 85 | ILLUMINA | ss3636423373 | Oct 12, 2018 (152) |
| 86 | ILLUMINA | ss3637329591 | Oct 12, 2018 (152) |
| 87 | ILLUMINA | ss3638227949 | Oct 12, 2018 (152) |
| 88 | ILLUMINA | ss3639120008 | Oct 12, 2018 (152) |
| 89 | ILLUMINA | ss3639865683 | Oct 12, 2018 (152) |
| 90 | ILLUMINA | ss3640443353 | Oct 12, 2018 (152) |
| 91 | ILLUMINA | ss3643200805 | Oct 12, 2018 (152) |
| 92 | ILLUMINA | ss3643914550 | Oct 12, 2018 (152) |
| 93 | URBANLAB | ss3650920168 | Oct 12, 2018 (152) |
| 94 | ILLUMINA | ss3652332984 | Oct 12, 2018 (152) |
| 95 | ILLUMINA | ss3652332985 | Oct 12, 2018 (152) |
| 96 | EVA_DECODE | ss3702786990 | Jul 13, 2019 (153) |
| 97 | ILLUMINA | ss3725730004 | Jul 13, 2019 (153) |
| 98 | ACPOP | ss3743047518 | Jul 13, 2019 (153) |
| 99 | ILLUMINA | ss3745036060 | Jul 13, 2019 (153) |
| 100 | EVA | ss3756075858 | Jul 13, 2019 (153) |
| 101 | PAGE_CC | ss3772014379 | Jul 13, 2019 (153) |
| 102 | ILLUMINA | ss3772533187 | Jul 13, 2019 (153) |
| 103 | PACBIO | ss3788533836 | Jul 13, 2019 (153) |
| 104 | PACBIO | ss3793443809 | Jul 13, 2019 (153) |
| 105 | PACBIO | ss3798330633 | Jul 13, 2019 (153) |
| 106 | KHV_HUMAN_GENOMES | ss3821323725 | Jul 13, 2019 (153) |
| 107 | EVA | ss3835466909 | Apr 27, 2020 (154) |
| 108 | EVA | ss3841355961 | Apr 27, 2020 (154) |
| 109 | EVA | ss3846861858 | Apr 27, 2020 (154) |
| 110 | HGDP | ss3847599753 | Apr 27, 2020 (154) |
| 111 | SGDP_PRJ | ss3888237719 | Apr 27, 2020 (154) |
| 112 | KRGDB | ss3938354373 | Apr 27, 2020 (154) |
| 113 | KOGIC | ss3981371917 | Apr 27, 2020 (154) |
| 114 | FSA-LAB | ss3984154975 | Apr 26, 2021 (155) |
| 115 | EVA | ss3984742278 | Apr 26, 2021 (155) |
| 116 | EVA | ss3985855083 | Apr 26, 2021 (155) |
| 117 | EVA | ss3986798794 | Apr 26, 2021 (155) |
| 118 | TOPMED | ss5075144755 | Apr 26, 2021 (155) |
| 119 | TOMMO_GENOMICS | ss5227805510 | Apr 26, 2021 (155) |
| 120 | EVA | ss5237247524 | Apr 26, 2021 (155) |
| 121 | 1000G_HIGH_COVERAGE | ss5307282375 | Oct 16, 2022 (156) |
| 122 | EVA | ss5315975508 | Oct 16, 2022 (156) |
| 123 | EVA | ss5434901744 | Oct 16, 2022 (156) |
| 124 | HUGCELL_USP | ss5499801883 | Oct 16, 2022 (156) |
| 125 | EVA | ss5512105573 | Oct 16, 2022 (156) |
| 126 | EVA | ss5512473964 | Oct 16, 2022 (156) |
| 127 | 1000G_HIGH_COVERAGE | ss5613028457 | Oct 16, 2022 (156) |
| 128 | EVA | ss5624090659 | Oct 16, 2022 (156) |
| 129 | SANFORD_IMAGENETICS | ss5624429077 | Oct 16, 2022 (156) |
| 130 | SANFORD_IMAGENETICS | ss5662411526 | Oct 16, 2022 (156) |
| 131 | TOMMO_GENOMICS | ss5786453814 | Oct 16, 2022 (156) |
| 132 | EVA | ss5800223161 | Oct 16, 2022 (156) |
| 133 | YY_MCH | ss5817610549 | Oct 16, 2022 (156) |
| 134 | EVA | ss5840563381 | Oct 16, 2022 (156) |
| 135 | EVA | ss5847497263 | Oct 16, 2022 (156) |
| 136 | EVA | ss5848493475 | Oct 16, 2022 (156) |
| 137 | EVA | ss5852294118 | Oct 16, 2022 (156) |
| 138 | EVA | ss5928140603 | Oct 16, 2022 (156) |
| 139 | EVA | ss5953825027 | Oct 16, 2022 (156) |
| 140 | EVA | ss5979546745 | Oct 16, 2022 (156) |
| 141 | 1000Genomes | NC_000019.9 - 41515702 | Oct 12, 2018 (152) |
| 142 | 1000Genomes_30x | NC_000019.10 - 41009797 | Oct 16, 2022 (156) |
| 143 | The Avon Longitudinal Study of Parents and Children | NC_000019.9 - 41515702 | Oct 12, 2018 (152) |
| 144 | Genome-wide autozygosity in Daghestan | NC_000019.8 - 46207542 | Apr 27, 2020 (154) |
| 145 | The Danish reference pan genome | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 146 | gnomAD - Genomes | NC_000019.10 - 41009797 | Apr 26, 2021 (155) |
| 147 | Genome of the Netherlands Release 5 | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 148 | HGDP-CEPH-db Supplement 1 | NC_000019.8 - 46207542 | Apr 27, 2020 (154) |
| 149 | HapMap | NC_000019.10 - 41009797 | Apr 27, 2020 (154) |
| 150 | KOREAN population from KRGDB | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 151 | Korean Genome Project | NC_000019.10 - 41009797 | Apr 27, 2020 (154) |
| 152 | Medical Genome Project healthy controls from Spanish population | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 153 | Northern Sweden | NC_000019.9 - 41515702 | Jul 13, 2019 (153) |
| 154 | The PAGE Study | NC_000019.10 - 41009797 | Jul 13, 2019 (153) |
| 155 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000019.9 - 41515702 | Apr 26, 2021 (155) |
| 156 | CNV burdens in cranial meningiomas | NC_000019.9 - 41515702 | Apr 26, 2021 (155) |
| 157 | Qatari | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 158 | SGDP_PRJ | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 159 | Siberian | NC_000019.9 - 41515702 | Apr 27, 2020 (154) |
| 160 | 8.3KJPN | NC_000019.9 - 41515702 | Apr 26, 2021 (155) |
| 161 | 14KJPN | NC_000019.10 - 41009797 | Oct 16, 2022 (156) |
| 162 | TopMed | NC_000019.10 - 41009797 | Apr 26, 2021 (155) |
| 163 | UK 10K study - Twins | NC_000019.9 - 41515702 | Oct 12, 2018 (152) |
| 164 | A Vietnamese Genetic Variation Database | NC_000019.9 - 41515702 | Jul 13, 2019 (153) |
| 165 | ALFA | NC_000019.10 - 41009797 | Apr 26, 2021 (155) |
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) |
|---|---|
| rs17713554 | Oct 08, 2004 (123) |
| rs28969412 | May 26, 2008 (130) |
| rs41314922 | Oct 25, 2006 (127) |
| rs45631888 | May 26, 2008 (130) |
| rs52823712 | Sep 21, 2007 (128) |
| rs60560431 | May 26, 2008 (130) |
| rs111133571 | Aug 21, 2014 (142) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| 45531767, ss3938354373, ss5512473964 | NC_000019.9:41515701:T:A | NC_000019.10:41009796:T:A | (self) |
| 3904593662, ss2137495310 | NC_000019.10:41009796:T:A | NC_000019.10:41009796:T:A | (self) |
| 227435, 277645, ss85535671, ss111388213, ss115146171, ss117708496, ss168210804, ss169762657, ss171769473, ss203756747, ss208481208, ss255682085, ss283213029, ss287384257, ss292179022, ss480502813, ss1397757867, ss1698362889, ss1713663289, ss3639120008, ss3639865683, ss3643200805, ss3643914550, ss3847599753 | NC_000019.8:46207541:T:C | NC_000019.10:41009796:T:C | (self) |
| 76610830, 42431129, 4825788, 18902074, 45531767, 629801, 16332383, 1081010, 291834, 19844757, 40254699, 10738170, 85774817, 42431129, 9371896, ss228143943, ss237680484, ss243885823, ss480517161, ss481323727, ss485048877, ss537068137, ss565988730, ss661853550, ss778862767, ss782970655, ss783932222, ss832226981, ss832887896, ss834323578, ss994309202, ss1081910218, ss1363202176, ss1428405624, ss1578643461, ss1637987076, ss1680981109, ss1711514041, ss1752285828, ss1809311845, ss1937802835, ss1959865261, ss1968645344, ss1971464668, ss2029680733, ss2094804049, ss2095085047, ss2158221816, ss2629337552, ss2633541071, ss2702832578, ss2962976144, ss2985774200, ss3017488935, ss3021907019, ss3352307316, ss3627934833, ss3631512406, ss3633180617, ss3633891059, ss3634736045, ss3635577848, ss3636423373, ss3637329591, ss3638227949, ss3640443353, ss3652332984, ss3652332985, ss3743047518, ss3745036060, ss3756075858, ss3772533187, ss3788533836, ss3793443809, ss3798330633, ss3835466909, ss3841355961, ss3888237719, ss3938354373, ss3984154975, ss3984742278, ss3985855083, ss3986798794, ss5227805510, ss5315975508, ss5434901744, ss5512105573, ss5512473964, ss5624090659, ss5624429077, ss5662411526, ss5800223161, ss5840563381, ss5847497263, ss5848493475, ss5953825027, ss5979546745 | NC_000019.9:41515701:T:C | NC_000019.10:41009796:T:C | (self) |
| 100554392, 540323317, 1697442, 37749918, 1235848, 120290918, 290690419, 3904593662, ss3028671964, ss3650920168, ss3702786990, ss3725730004, ss3772014379, ss3821323725, ss3846861858, ss3981371917, ss5075144755, ss5237247524, ss5307282375, ss5499801883, ss5613028457, ss5786453814, ss5817610549, ss5852294118, ss5928140603 | NC_000019.10:41009796:T:C | NC_000019.10:41009796:T:C | (self) |
| ss16801945, ss21540485 | NT_011109.15:13783919:T:C | NC_000019.10:41009796:T:C | (self) |
| ss3216914, ss12587430, ss24685341, ss32475225, ss49853126, ss67241137, ss67637834, ss68201167, ss69228569, ss70719481, ss71287759, ss74829868, ss75118335, ss84018350, ss96267796, ss136263075 | NT_011109.16:13783919:T:C | NC_000019.10:41009796:T:C | (self) |
| 45531767, ss3938354373 | NC_000019.9:41515701:T:G | NC_000019.10:41009796:T:G | (self) |
Help
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
18 citations for rs2279345
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 19812066 | Influence of CYP2B6 polymorphisms on the persistence of plasma nevirapine concentrations following a single intra-partum dose for the prevention of mother to child transmission in HIV-infected Thai women. | Chantarangsu S et al. | 2009 | The Journal of antimicrobial chemotherapy |
| 20639527 | Haplotype structure of CYP2B6 and association with plasma efavirenz concentrations in a Chilean HIV cohort. | Carr DF et al. | 2010 | The Journal of antimicrobial chemotherapy |
| 21694616 | CYP2B6 polymorphisms influence the plasma concentration and clearance of the methadone S-enantiomer. | Wang SC et al. | 2011 | Journal of clinical psychopharmacology |
| 21712189 | Analysis of pharmacogenetic traits in two distinct South African populations. | Ikediobi O et al. | 2011 | Human genomics |
| 22471906 | Pharmacogenetic markers of CYP2B6 associated with efavirenz plasma concentrations in HIV-1 infected Thai adults. | Sukasem C et al. | 2012 | British journal of clinical pharmacology |
| 22992668 | Pharmacogenomics knowledge for personalized medicine. | Whirl-Carrillo M et al. | 2012 | Clinical pharmacology and therapeutics |
| 23104099 | Multiple genetic variants predict steady-state nevirapine clearance in HIV-infected Cambodians. | Bertrand J et al. | 2012 | Pharmacogenetics and genomics |
| 23226059 | Individualization of antiretroviral therapy. | Pavlos R et al. | 2012 | Pharmacogenomics and personalized medicine |
| 24293076 | Low level of efavirenz in HIV-1-infected Thai adults is associated with the CYP2B6 polymorphism. | Sukasem C et al. | 2014 | Infection |
| 24477223 | Pharmacogenetics and clinical biomarkers for subtherapeutic plasma efavirenz concentration in HIV-1 infected Thai adults. | Sukasem C et al. | 2014 | Drug metabolism and pharmacokinetics |
| 24492364 | CYP2B6 18492T->C polymorphism compromises efavirenz concentration in coinfected HIV and tuberculosis patients carrying CYP2B6 haplotype *1/*1. | Manosuthi W et al. | 2014 | Antimicrobial agents and chemotherapy |
| 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 |
| 27010727 | Genome-Wide Pharmacogenomic Study on Methadone Maintenance Treatment Identifies SNP rs17180299 and Multiple Haplotypes on CYP2B6, SPON1, and GSG1L Associated with Plasma Concentrations of Methadone R- and S-enantiomers in Heroin-Dependent Patients. | Yang HC et al. | 2016 | PLoS genetics |
| 29623639 | Pharmacogenetics of Opioid Use Disorder Treatment. | Crist RC et al. | 2018 | CNS drugs |
| 29855606 | Polymorphisms in cytochrome P450 are associated with extensive efavirenz pharmacokinetics and CNS toxicities in an HIV cohort in Botswana. | Vujkovic M et al. | 2018 | The pharmacogenomics journal |
| 30535366 | Pharmacogenetics and pharmacokinetics of CNS penetration of efavirenz and its metabolites. | Decloedt EH et al. | 2019 | The Journal of antimicrobial chemotherapy |
| 33756427 | Identification of common genetic variants associated with serum concentrations of p, p'-DDE in non-occupational populations in eastern China. | Li S et al. | 2021 | Environment international |
| 35497687 | The Prevalence of Pharmacogenomics Variants and Their Clinical Relevance Among the Pakistani Population. | Khan AR et al. | 2022 | Evolutionary bioinformatics online |
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.
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.