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.
rs2266780
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr1:171114102 (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
- A>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.172029 (56397/327834, ALFA)G=0.123953 (32809/264690, TOPMED)G=0.150471 (37773/251032, GnomAD_exome) (+ 27 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- FMO3 : Missense Variant
- Publications
- 20 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 | 349252 | A=0.829533 | G=0.170467 | 0.690607 | 0.031542 | 0.277851 | 29 |
European | Sub | 293708 | A=0.815586 | G=0.184414 | 0.666179 | 0.035008 | 0.298814 | 4 |
African | Sub | 17520 | A=0.95896 | G=0.04104 | 0.91895 | 0.001027 | 0.080023 | 2 |
African Others | Sub | 652 | A=0.989 | G=0.011 | 0.978528 | 0.0 | 0.021472 | 0 |
African American | Sub | 16868 | A=0.95779 | G=0.04221 | 0.916647 | 0.001067 | 0.082286 | 2 |
Asian | Sub | 3742 | A=0.8188 | G=0.1812 | 0.672902 | 0.035275 | 0.291823 | 0 |
East Asian | Sub | 2968 | A=0.8288 | G=0.1712 | 0.690701 | 0.033019 | 0.27628 | 1 |
Other Asian | Sub | 774 | A=0.780 | G=0.220 | 0.604651 | 0.043928 | 0.351421 | 0 |
Latin American 1 | Sub | 1598 | A=0.9043 | G=0.0957 | 0.822278 | 0.013767 | 0.163955 | 2 |
Latin American 2 | Sub | 9124 | A=0.9094 | G=0.0906 | 0.828146 | 0.009426 | 0.162429 | 1 |
South Asian | Sub | 5220 | A=0.9469 | G=0.0531 | 0.898467 | 0.004598 | 0.096935 | 2 |
Other | Sub | 18340 | A=0.85180 | G=0.14820 | 0.728244 | 0.024646 | 0.24711 | 3 |
Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").
DownloadStudy | Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|---|
Allele Frequency Aggregator | Total | Global | 327834 | A=0.827971 | G=0.172029 |
Allele Frequency Aggregator | European | Sub | 280520 | A=0.816102 | G=0.183898 |
Allele Frequency Aggregator | Other | Sub | 16090 | A=0.85140 | G=0.14860 |
Allele Frequency Aggregator | African | Sub | 11540 | A=0.95806 | G=0.04194 |
Allele Frequency Aggregator | Latin American 2 | Sub | 9124 | A=0.9094 | G=0.0906 |
Allele Frequency Aggregator | South Asian | Sub | 5220 | A=0.9469 | G=0.0531 |
Allele Frequency Aggregator | Asian | Sub | 3742 | A=0.8188 | G=0.1812 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1598 | A=0.9043 | G=0.0957 |
TopMed | Global | Study-wide | 264690 | A=0.876047 | G=0.123953 |
gnomAD - Exomes | Global | Study-wide | 251032 | A=0.849529 | G=0.150471 |
gnomAD - Exomes | European | Sub | 135112 | A=0.798538 | G=0.201462 |
gnomAD - Exomes | Asian | Sub | 48970 | A=0.90153 | G=0.09847 |
gnomAD - Exomes | American | Sub | 34518 | A=0.91118 | G=0.08882 |
gnomAD - Exomes | African | Sub | 16254 | A=0.96302 | G=0.03698 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 10070 | A=0.88312 | G=0.11688 |
gnomAD - Exomes | Other | Sub | 6108 | A=0.8548 | G=0.1452 |
gnomAD - Genomes | Global | Study-wide | 140138 | A=0.858597 | G=0.141403 |
gnomAD - Genomes | European | Sub | 75878 | A=0.79716 | G=0.20284 |
gnomAD - Genomes | African | Sub | 42012 | A=0.95785 | G=0.04215 |
gnomAD - Genomes | American | Sub | 13648 | A=0.89808 | G=0.10192 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | A=0.8829 | G=0.1171 |
gnomAD - Genomes | East Asian | Sub | 3124 | A=0.8073 | G=0.1927 |
gnomAD - Genomes | Other | Sub | 2154 | A=0.8737 | G=0.1263 |
ExAC | Global | Study-wide | 121124 | A=0.847066 | G=0.152934 |
ExAC | Europe | Sub | 73224 | A=0.80023 | G=0.19977 |
ExAC | Asian | Sub | 25078 | A=0.90486 | G=0.09514 |
ExAC | American | Sub | 11514 | A=0.91523 | G=0.08477 |
ExAC | African | Sub | 10402 | A=0.96116 | G=0.03884 |
ExAC | Other | Sub | 906 | A=0.857 | G=0.143 |
The PAGE Study | Global | Study-wide | 78520 | A=0.91090 | G=0.08910 |
The PAGE Study | AfricanAmerican | Sub | 32450 | A=0.95233 | G=0.04767 |
The PAGE Study | Mexican | Sub | 10794 | A=0.90458 | G=0.09542 |
The PAGE Study | Asian | Sub | 8278 | A=0.8059 | G=0.1941 |
The PAGE Study | PuertoRican | Sub | 7900 | A=0.9100 | G=0.0900 |
The PAGE Study | NativeHawaiian | Sub | 4520 | A=0.8440 | G=0.1560 |
The PAGE Study | Cuban | Sub | 4220 | A=0.8836 | G=0.1164 |
The PAGE Study | Dominican | Sub | 3820 | A=0.9154 | G=0.0846 |
The PAGE Study | CentralAmerican | Sub | 2446 | A=0.9231 | G=0.0769 |
The PAGE Study | SouthAmerican | Sub | 1982 | A=0.9168 | G=0.0832 |
The PAGE Study | NativeAmerican | Sub | 1254 | A=0.8573 | G=0.1427 |
The PAGE Study | SouthAsian | Sub | 856 | A=0.942 | G=0.058 |
14KJPN | JAPANESE | Study-wide | 28256 | A=0.80333 | G=0.19667 |
8.3KJPN | JAPANESE | Study-wide | 16760 | A=0.79863 | G=0.20137 |
1000Genomes_30x | Global | Study-wide | 6404 | A=0.9135 | G=0.0865 |
1000Genomes_30x | African | Sub | 1786 | A=0.9826 | G=0.0174 |
1000Genomes_30x | Europe | Sub | 1266 | A=0.8318 | G=0.1682 |
1000Genomes_30x | South Asian | Sub | 1202 | A=0.9700 | G=0.0300 |
1000Genomes_30x | East Asian | Sub | 1170 | A=0.8299 | G=0.1701 |
1000Genomes_30x | American | Sub | 980 | A=0.923 | G=0.077 |
1000Genomes | Global | Study-wide | 5008 | A=0.9085 | G=0.0915 |
1000Genomes | African | Sub | 1322 | A=0.9811 | G=0.0189 |
1000Genomes | East Asian | Sub | 1008 | A=0.8313 | G=0.1687 |
1000Genomes | Europe | Sub | 1006 | A=0.8280 | G=0.1720 |
1000Genomes | South Asian | Sub | 978 | A=0.966 | G=0.034 |
1000Genomes | American | Sub | 694 | A=0.918 | G=0.082 |
Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | A=0.7674 | G=0.2326 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | A=0.8075 | G=0.1925 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | A=0.8053 | G=0.1947 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | A=0.8328 | G=0.1672 |
Korean Genome Project | KOREAN | Study-wide | 1832 | A=0.8373 | G=0.1627 |
HapMap | Global | Study-wide | 1702 | A=0.8995 | G=0.1005 |
HapMap | American | Sub | 764 | A=0.874 | G=0.126 |
HapMap | African | Sub | 510 | A=0.988 | G=0.012 |
HapMap | Asian | Sub | 254 | A=0.819 | G=0.181 |
HapMap | Europe | Sub | 174 | A=0.868 | G=0.132 |
Genome-wide autozygosity in Daghestan | Global | Study-wide | 1136 | A=0.9208 | G=0.0792 |
Genome-wide autozygosity in Daghestan | Daghestan | Sub | 628 | A=0.920 | G=0.080 |
Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | A=0.944 | G=0.056 |
Genome-wide autozygosity in Daghestan | Central Asia | Sub | 122 | A=0.885 | G=0.115 |
Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | A=0.870 | G=0.130 |
Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | A=0.96 | G=0.04 |
Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | A=1.00 | G=0.00 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | A=0.784 | G=0.216 |
CNV burdens in cranial meningiomas | Global | Study-wide | 760 | A=0.841 | G=0.159 |
CNV burdens in cranial meningiomas | CRM | Sub | 760 | A=0.841 | G=0.159 |
Chileans | Chilean | Study-wide | 626 | A=0.919 | G=0.081 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 603 | A=0.852 | G=0.148 |
Northern Sweden | ACPOP | Study-wide | 600 | A=0.727 | G=0.273 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | A=0.843 | G=0.157 |
PharmGKB Aggregated | Global | Study-wide | 354 | A=0.853 | G=0.147 |
PharmGKB Aggregated | PA150304816 | Sub | 354 | A=0.853 | G=0.147 |
FINRISK | Finnish from FINRISK project | Study-wide | 304 | A=0.757 | G=0.243 |
Qatari | Global | Study-wide | 216 | A=0.958 | G=0.042 |
SGDP_PRJ | Global | Study-wide | 116 | A=0.431 | G=0.569 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 98 | A=0.90 | G=0.10 |
The Danish reference pan genome | Danish | Study-wide | 40 | A=0.75 | G=0.25 |
Siberian | Global | Study-wide | 20 | A=0.40 | G=0.60 |
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 1 | NC_000001.11:g.171114102A>G |
GRCh37.p13 chr 1 | NC_000001.10:g.171083242A>G |
FMO3 RefSeqGene | NG_012690.2:g.28199A>G |
FMO3 RefSeqGene | NG_012690.1:g.28225A>G |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
FMO3 transcript variant 2 | NM_001002294.3:c.923A>G | E [GAG] > G [GGG] | Coding Sequence Variant |
flavin-containing monooxygenase 3 isoform a | NP_001002294.1:p.Glu308Gly | E (Glu) > G (Gly) | Missense Variant |
FMO3 transcript variant 1 | NM_006894.6:c.923A>G | E [GAG] > G [GGG] | Coding Sequence Variant |
flavin-containing monooxygenase 3 isoform a | NP_008825.4:p.Glu308Gly | E (Glu) > G (Gly) | Missense Variant |
FMO3 transcript variant 4 | NM_001319174.2:c.734A>G | E [GAG] > G [GGG] | Coding Sequence Variant |
flavin-containing monooxygenase 3 isoform c | NP_001306103.1:p.Glu245Gly | E (Glu) > G (Gly) | Missense Variant |
FMO3 transcript variant 3 | NM_001319173.2:c.863A>G | E [GAG] > G [GGG] | Coding Sequence Variant |
flavin-containing monooxygenase 3 isoform b | NP_001306102.1:p.Glu288Gly | E (Glu) > G (Gly) | Missense Variant |
FMO3 transcript variant X1 | XM_047416207.1:c.863A>G | E [GAG] > G [GGG] | Coding Sequence Variant |
flavin-containing monooxygenase 3 isoform X1 | XP_047272163.1:p.Glu288Gly | E (Glu) > G (Gly) | Missense Variant |
Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.
ClinVar Accession | Disease Names | Clinical Significance |
---|---|---|
RCV000017711.6 | Trimethylaminuria, mild | Pathogenic |
RCV000201276.1 | Trimethylaminuria | Likely-Pathogenic |
RCV000254132.1 | not specified | Benign |
RCV000290538.6 | Trimethylaminuria | Benign-Likely-Benign |
RCV001642531.2 | not provided | Benign |
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= | G |
---|---|---|
GRCh38.p14 chr 1 | NC_000001.11:g.171114102= | NC_000001.11:g.171114102A>G |
GRCh37.p13 chr 1 | NC_000001.10:g.171083242= | NC_000001.10:g.171083242A>G |
FMO3 RefSeqGene | NG_012690.2:g.28199= | NG_012690.2:g.28199A>G |
FMO3 RefSeqGene | NG_012690.1:g.28225= | NG_012690.1:g.28225A>G |
FMO3 transcript variant 1 | NM_006894.6:c.923= | NM_006894.6:c.923A>G |
FMO3 transcript variant 1 | NM_006894.5:c.923= | NM_006894.5:c.923A>G |
FMO3 transcript variant 2 | NM_001002294.3:c.923= | NM_001002294.3:c.923A>G |
FMO3 transcript variant 2 | NM_001002294.2:c.923= | NM_001002294.2:c.923A>G |
FMO3 transcript variant 3 | NM_001319173.2:c.863= | NM_001319173.2:c.863A>G |
FMO3 transcript variant 3 | NM_001319173.1:c.863= | NM_001319173.1:c.863A>G |
FMO3 transcript variant 4 | NM_001319174.2:c.734= | NM_001319174.2:c.734A>G |
FMO3 transcript variant 4 | NM_001319174.1:c.734= | NM_001319174.1:c.734A>G |
FMO3 transcript variant X1 | XM_047416207.1:c.863= | XM_047416207.1:c.863A>G |
flavin-containing monooxygenase 3 isoform a | NP_008825.4:p.Glu308= | NP_008825.4:p.Glu308Gly |
flavin-containing monooxygenase 3 isoform a | NP_001002294.1:p.Glu308= | NP_001002294.1:p.Glu308Gly |
flavin-containing monooxygenase 3 isoform b | NP_001306102.1:p.Glu288= | NP_001306102.1:p.Glu288Gly |
flavin-containing monooxygenase 3 isoform c | NP_001306103.1:p.Glu245= | NP_001306103.1:p.Glu245Gly |
flavin-containing monooxygenase 3 isoform X1 | XP_047272163.1:p.Glu288= | XP_047272163.1:p.Glu288Gly |
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 | UWGC | ss2978147 | Sep 28, 2001 (100) |
2 | CSHL-HAPMAP | ss19127749 | Feb 27, 2004 (120) |
3 | PERLEGEN | ss24271795 | Sep 20, 2004 (123) |
4 | EGP_SNPS | ss35038127 | May 24, 2005 (125) |
5 | ABI | ss43995755 | Mar 14, 2006 (126) |
6 | AFFY | ss66115318 | Nov 29, 2006 (127) |
7 | PERLEGEN | ss68784568 | May 16, 2007 (127) |
8 | ILLUMINA | ss74865612 | Dec 07, 2007 (129) |
9 | AFFY | ss76100916 | Dec 07, 2007 (129) |
10 | KRIBB_YJKIM | ss81743054 | Dec 14, 2007 (130) |
11 | PHARMGKB_AB_DME | ss84154598 | Dec 14, 2007 (130) |
12 | CANCER-GENOME | ss86342174 | Mar 23, 2008 (129) |
13 | SNP500CANCER | ss105439835 | Feb 04, 2009 (130) |
14 | 1000GENOMES | ss108695871 | Jan 23, 2009 (130) |
15 | ILLUMINA | ss153896145 | Dec 01, 2009 (131) |
16 | ILLUMINA | ss159373995 | Dec 01, 2009 (131) |
17 | ILLUMINA | ss160523890 | Dec 01, 2009 (131) |
18 | ENSEMBL | ss161187924 | Dec 01, 2009 (131) |
19 | COMPLETE_GENOMICS | ss165424738 | Jul 04, 2010 (132) |
20 | COMPLETE_GENOMICS | ss167270370 | Jul 04, 2010 (132) |
21 | AFFY | ss172507543 | Jul 04, 2010 (132) |
22 | ILLUMINA | ss173225335 | Jul 04, 2010 (132) |
23 | GENEREVIEWS | ss181339510 | Dec 02, 2009 (131) |
24 | 1000GENOMES | ss230779166 | Jul 14, 2010 (132) |
25 | 1000GENOMES | ss238416935 | Jul 15, 2010 (132) |
26 | GMI | ss276098882 | May 04, 2012 (137) |
27 | GMI | ss284174249 | Apr 25, 2013 (138) |
28 | NHLBI-ESP | ss342010780 | May 09, 2011 (134) |
29 | ILLUMINA | ss480491991 | May 04, 2012 (137) |
30 | ILLUMINA | ss480506366 | May 04, 2012 (137) |
31 | ILLUMINA | ss481309874 | Sep 08, 2015 (146) |
32 | ILLUMINA | ss485043533 | May 04, 2012 (137) |
33 | 1000GENOMES | ss489777294 | May 04, 2012 (137) |
34 | EXOME_CHIP | ss491305880 | May 04, 2012 (137) |
35 | CLINSEQ_SNP | ss491609452 | May 04, 2012 (137) |
36 | ILLUMINA | ss537064549 | Sep 08, 2015 (146) |
37 | TISHKOFF | ss554840482 | Apr 25, 2013 (138) |
38 | SSMP | ss648494832 | Apr 25, 2013 (138) |
39 | ILLUMINA | ss778861719 | Sep 08, 2015 (146) |
40 | ILLUMINA | ss782967988 | Sep 08, 2015 (146) |
41 | ILLUMINA | ss783929747 | Sep 08, 2015 (146) |
42 | ILLUMINA | ss832224274 | Sep 08, 2015 (146) |
43 | ILLUMINA | ss832885808 | Jul 12, 2019 (153) |
44 | ILLUMINA | ss834322520 | Sep 08, 2015 (146) |
45 | JMKIDD_LAB | ss974438274 | Aug 21, 2014 (142) |
46 | EVA-GONL | ss975806558 | Aug 21, 2014 (142) |
47 | JMKIDD_LAB | ss1067428805 | Aug 21, 2014 (142) |
48 | JMKIDD_LAB | ss1068359908 | Aug 21, 2014 (142) |
49 | 1000GENOMES | ss1293392056 | Aug 21, 2014 (142) |
50 | HAMMER_LAB | ss1397263947 | Sep 08, 2015 (146) |
51 | DDI | ss1426016290 | Apr 01, 2015 (144) |
52 | EVA_GENOME_DK | ss1574472065 | Apr 01, 2015 (144) |
53 | EVA_FINRISK | ss1584012893 | Apr 01, 2015 (144) |
54 | EVA_DECODE | ss1585192891 | Apr 01, 2015 (144) |
55 | EVA_UK10K_ALSPAC | ss1601463179 | Apr 01, 2015 (144) |
56 | EVA_UK10K_TWINSUK | ss1644457212 | Apr 01, 2015 (144) |
57 | EVA_EXAC | ss1685909579 | Apr 01, 2015 (144) |
58 | EVA_MGP | ss1710932457 | Apr 01, 2015 (144) |
59 | EVA_SVP | ss1712381048 | Apr 01, 2015 (144) |
60 | ILLUMINA | ss1751881030 | Sep 08, 2015 (146) |
61 | WEILL_CORNELL_DGM | ss1919043411 | Feb 12, 2016 (147) |
62 | ILLUMINA | ss1946014668 | Feb 12, 2016 (147) |
63 | ILLUMINA | ss1958331669 | Feb 12, 2016 (147) |
64 | GENOMED | ss1966897226 | Jul 19, 2016 (147) |
65 | JJLAB | ss2020037870 | Sep 14, 2016 (149) |
66 | USC_VALOUEV | ss2148065355 | Dec 20, 2016 (150) |
67 | HUMAN_LONGEVITY | ss2167478567 | Dec 20, 2016 (150) |
68 | ILLUMINA | ss2632592155 | Nov 08, 2017 (151) |
69 | ILLUMINA | ss2632592156 | Nov 08, 2017 (151) |
70 | GRF | ss2698043345 | Nov 08, 2017 (151) |
71 | ILLUMINA | ss2710685687 | Nov 08, 2017 (151) |
72 | GNOMAD | ss2732051702 | Nov 08, 2017 (151) |
73 | GNOMAD | ss2746496772 | Nov 08, 2017 (151) |
74 | GNOMAD | ss2762626036 | Nov 08, 2017 (151) |
75 | AFFY | ss2984885107 | Nov 08, 2017 (151) |
76 | AFFY | ss2985530394 | Nov 08, 2017 (151) |
77 | SWEGEN | ss2987941778 | Nov 08, 2017 (151) |
78 | ILLUMINA | ss3021151013 | Nov 08, 2017 (151) |
79 | BIOINF_KMB_FNS_UNIBA | ss3023777595 | Nov 08, 2017 (151) |
80 | CSIRBIOHTS | ss3029637261 | Nov 08, 2017 (151) |
81 | CSHL | ss3343767025 | Nov 08, 2017 (151) |
82 | ILLUMINA | ss3625554110 | Oct 11, 2018 (152) |
83 | ILLUMINA | ss3626238935 | Oct 11, 2018 (152) |
84 | ILLUMINA | ss3630623950 | Oct 11, 2018 (152) |
85 | ILLUMINA | ss3633610447 | Oct 11, 2018 (152) |
86 | ILLUMINA | ss3634357965 | Oct 11, 2018 (152) |
87 | ILLUMINA | ss3635303792 | Oct 11, 2018 (152) |
88 | ILLUMINA | ss3636036878 | Oct 11, 2018 (152) |
89 | ILLUMINA | ss3637054296 | Oct 11, 2018 (152) |
90 | ILLUMINA | ss3637795573 | Oct 11, 2018 (152) |
91 | ILLUMINA | ss3640065319 | Oct 11, 2018 (152) |
92 | ILLUMINA | ss3642803803 | Oct 11, 2018 (152) |
93 | ILLUMINA | ss3644510622 | Oct 11, 2018 (152) |
94 | OMUKHERJEE_ADBS | ss3646248823 | Oct 11, 2018 (152) |
95 | ILLUMINA | ss3651487849 | Oct 11, 2018 (152) |
96 | ILLUMINA | ss3653654438 | Oct 11, 2018 (152) |
97 | EGCUT_WGS | ss3655885675 | Jul 12, 2019 (153) |
98 | EVA_DECODE | ss3688011163 | Jul 12, 2019 (153) |
99 | ILLUMINA | ss3725079107 | Jul 12, 2019 (153) |
100 | ACPOP | ss3727589651 | Jul 12, 2019 (153) |
101 | ILLUMINA | ss3744056079 | Jul 12, 2019 (153) |
102 | ILLUMINA | ss3744658840 | Jul 12, 2019 (153) |
103 | EVA | ss3746951546 | Jul 12, 2019 (153) |
104 | PAGE_CC | ss3770851689 | Jul 12, 2019 (153) |
105 | ILLUMINA | ss3772159881 | Jul 12, 2019 (153) |
106 | KHV_HUMAN_GENOMES | ss3799953521 | Jul 12, 2019 (153) |
107 | EVA | ss3823685044 | Apr 25, 2020 (154) |
108 | EVA | ss3825580529 | Apr 25, 2020 (154) |
109 | EVA | ss3826487000 | Apr 25, 2020 (154) |
110 | SGDP_PRJ | ss3850247827 | Apr 25, 2020 (154) |
111 | KRGDB | ss3895485400 | Apr 25, 2020 (154) |
112 | KOGIC | ss3945882888 | Apr 25, 2020 (154) |
113 | FSA-LAB | ss3983953733 | Apr 25, 2021 (155) |
114 | EVA | ss3984467053 | Apr 25, 2021 (155) |
115 | EVA | ss3984833506 | Apr 25, 2021 (155) |
116 | EVA | ss3986014000 | Apr 25, 2021 (155) |
117 | EVA | ss3986147113 | Apr 25, 2021 (155) |
118 | EVA | ss4016945399 | Apr 25, 2021 (155) |
119 | TOPMED | ss4472361887 | Apr 25, 2021 (155) |
120 | TOMMO_GENOMICS | ss5147006693 | Apr 25, 2021 (155) |
121 | EVA | ss5236875679 | Apr 25, 2021 (155) |
122 | EVA | ss5237165014 | Apr 25, 2021 (155) |
123 | EVA | ss5237276364 | Apr 25, 2021 (155) |
124 | EVA | ss5237633480 | Oct 12, 2022 (156) |
125 | 1000G_HIGH_COVERAGE | ss5244695766 | Oct 12, 2022 (156) |
126 | TRAN_CS_UWATERLOO | ss5314398071 | Oct 12, 2022 (156) |
127 | EVA | ss5314660526 | Oct 12, 2022 (156) |
128 | EVA | ss5322786910 | Oct 12, 2022 (156) |
129 | HUGCELL_USP | ss5445241717 | Oct 12, 2022 (156) |
130 | EVA | ss5506070172 | Oct 12, 2022 (156) |
131 | 1000G_HIGH_COVERAGE | ss5518226986 | Oct 12, 2022 (156) |
132 | SANFORD_IMAGENETICS | ss5624221604 | Oct 12, 2022 (156) |
133 | SANFORD_IMAGENETICS | ss5626823489 | Oct 12, 2022 (156) |
134 | TOMMO_GENOMICS | ss5674356017 | Oct 12, 2022 (156) |
135 | EVA | ss5800087347 | Oct 12, 2022 (156) |
136 | YY_MCH | ss5801363110 | Oct 12, 2022 (156) |
137 | EVA | ss5832826703 | Oct 12, 2022 (156) |
138 | EVA | ss5847169214 | Oct 12, 2022 (156) |
139 | EVA | ss5847562649 | Oct 12, 2022 (156) |
140 | EVA | ss5848277980 | Oct 12, 2022 (156) |
141 | EVA | ss5849157205 | Oct 12, 2022 (156) |
142 | EVA | ss5910708677 | Oct 12, 2022 (156) |
143 | EVA | ss5938627215 | Oct 12, 2022 (156) |
144 | EVA | ss5979294728 | Oct 12, 2022 (156) |
145 | EVA | ss5979997746 | Oct 12, 2022 (156) |
146 | 1000Genomes | NC_000001.10 - 171083242 | Oct 11, 2018 (152) |
147 | 1000Genomes_30x | NC_000001.11 - 171114102 | Oct 12, 2022 (156) |
148 | The Avon Longitudinal Study of Parents and Children | NC_000001.10 - 171083242 | Oct 11, 2018 (152) |
149 | Chileans | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
150 | Genome-wide autozygosity in Daghestan | NC_000001.9 - 169349866 | Apr 25, 2020 (154) |
151 | Genetic variation in the Estonian population | NC_000001.10 - 171083242 | Oct 11, 2018 (152) |
152 | ExAC | NC_000001.10 - 171083242 | Oct 11, 2018 (152) |
153 | FINRISK | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
154 | The Danish reference pan genome | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
155 | gnomAD - Genomes | NC_000001.11 - 171114102 | Apr 25, 2021 (155) |
156 | gnomAD - Exomes | NC_000001.10 - 171083242 | Jul 12, 2019 (153) |
157 | Genome of the Netherlands Release 5 | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
158 | HapMap | NC_000001.11 - 171114102 | Apr 25, 2020 (154) |
159 | KOREAN population from KRGDB | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
160 | Korean Genome Project | NC_000001.11 - 171114102 | Apr 25, 2020 (154) |
161 | Medical Genome Project healthy controls from Spanish population | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
162 | Northern Sweden | NC_000001.10 - 171083242 | Jul 12, 2019 (153) |
163 | The PAGE Study | NC_000001.11 - 171114102 | Jul 12, 2019 (153) |
164 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000001.10 - 171083242 | Apr 25, 2021 (155) |
165 | CNV burdens in cranial meningiomas | NC_000001.10 - 171083242 | Apr 25, 2021 (155) |
166 | PharmGKB Aggregated | NC_000001.11 - 171114102 | Apr 25, 2020 (154) |
167 | Qatari | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
168 | SGDP_PRJ | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
169 | Siberian | NC_000001.10 - 171083242 | Apr 25, 2020 (154) |
170 | 8.3KJPN | NC_000001.10 - 171083242 | Apr 25, 2021 (155) |
171 | 14KJPN | NC_000001.11 - 171114102 | Oct 12, 2022 (156) |
172 | TopMed | NC_000001.11 - 171114102 | Apr 25, 2021 (155) |
173 | UK 10K study - Twins | NC_000001.10 - 171083242 | Oct 11, 2018 (152) |
174 | A Vietnamese Genetic Variation Database | NC_000001.10 - 171083242 | Jul 12, 2019 (153) |
175 | ALFA | NC_000001.11 - 171114102 | Apr 25, 2021 (155) |
176 | ClinVar | RCV000017711.6 | Oct 11, 2018 (152) |
177 | ClinVar | RCV000201276.1 | Oct 11, 2018 (152) |
178 | ClinVar | RCV000254132.1 | Oct 11, 2018 (152) |
179 | ClinVar | RCV000290538.6 | Oct 12, 2022 (156) |
180 | ClinVar | RCV001642531.2 | Oct 12, 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) |
---|---|
rs17564742 | Oct 07, 2004 (123) |
rs57076237 | May 23, 2008 (130) |
rs57860801 | Feb 26, 2009 (130) |
rs80356549 | Oct 26, 2010 (133) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
25153, ss108695871, ss165424738, ss167270370, ss276098882, ss284174249, ss480491991, ss491609452, ss1397263947, ss1585192891, ss1712381048, ss3642803803 | NC_000001.9:169349865:A:G | NC_000001.11:171114101:A:G | (self) |
4200099, 2294432, 24521, 1623923, 5135406, 9354, 1757704, 1080629, 998636, 2662794, 49209, 874516, 59433, 16371, 1085341, 2264807, 581709, 4976000, 2294432, 493451, ss230779166, ss238416935, ss342010780, ss480506366, ss481309874, ss485043533, ss489777294, ss491305880, ss537064549, ss554840482, ss648494832, ss778861719, ss782967988, ss783929747, ss832224274, ss832885808, ss834322520, ss974438274, ss975806558, ss1067428805, ss1068359908, ss1293392056, ss1426016290, ss1574472065, ss1584012893, ss1601463179, ss1644457212, ss1685909579, ss1710932457, ss1751881030, ss1919043411, ss1946014668, ss1958331669, ss1966897226, ss2020037870, ss2148065355, ss2632592155, ss2632592156, ss2698043345, ss2710685687, ss2732051702, ss2746496772, ss2762626036, ss2984885107, ss2985530394, ss2987941778, ss3021151013, ss3029637261, ss3343767025, ss3625554110, ss3626238935, ss3630623950, ss3633610447, ss3634357965, ss3635303792, ss3636036878, ss3637054296, ss3637795573, ss3640065319, ss3644510622, ss3646248823, ss3651487849, ss3653654438, ss3655885675, ss3727589651, ss3744056079, ss3744658840, ss3746951546, ss3772159881, ss3823685044, ss3825580529, ss3826487000, ss3850247827, ss3895485400, ss3983953733, ss3984467053, ss3984833506, ss3986014000, ss3986147113, ss4016945399, ss5147006693, ss5237276364, ss5314660526, ss5322786910, ss5506070172, ss5624221604, ss5626823489, ss5800087347, ss5832826703, ss5847169214, ss5847562649, ss5848277980, ss5938627215, ss5979294728, ss5979997746 | NC_000001.10:171083241:A:G | NC_000001.11:171114101:A:G | (self) |
RCV000017711.6, RCV000201276.1, RCV000254132.1, RCV000290538.6, RCV001642531.2, 5752921, 30380042, 202687, 2260889, 73158, 641, 8193121, 35968222, 11940659433, ss181339510, ss2167478567, ss3023777595, ss3688011163, ss3725079107, ss3770851689, ss3799953521, ss3945882888, ss4472361887, ss5236875679, ss5237165014, ss5237633480, ss5244695766, ss5314398071, ss5445241717, ss5518226986, ss5674356017, ss5801363110, ss5849157205, ss5910708677 | NC_000001.11:171114101:A:G | NC_000001.11:171114101:A:G | (self) |
ss19127749 | NT_004487.16:131734:A:G | NC_000001.11:171114101:A:G | (self) |
ss2978147, ss24271795, ss35038127, ss43995755, ss66115318, ss68784568, ss74865612, ss76100916, ss81743054, ss84154598, ss86342174, ss105439835, ss153896145, ss159373995, ss160523890, ss161187924, ss172507543, ss173225335 | NT_004487.19:22571883:A:G | NC_000001.11:171114101:A:G | (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 |
---|---|---|---|---|
9536088 | Mutations of the flavin-containing monooxygenase gene (FMO3) cause trimethylaminuria, a defect in detoxication. | Treacy EP et al. | 1998 | Human molecular genetics |
10479479 | Trimethylaminuria is caused by mutations of the FMO3 gene in a North American cohort. | Akerman BR et al. | 1999 | Molecular genetics and metabolism |
10485731 | Mild trimethylaminuria caused by common variants in FMO3 gene. | Zschocke J et al. | 1999 | Lancet (London, England) |
10896299 | Biochemical and molecular studies in mild flavin monooxygenase 3 deficiency. | Zschocke J et al. | 2000 | Journal of inherited metabolic disease |
11809920 | Human hepatic flavin-containing monooxygenases 1 (FMO1) and 3 (FMO3) developmental expression. | Koukouritaki SB et al. | 2002 | Pediatric research |
15858076 | Discovery of novel flavin-containing monooxygenase 3 (FMO3) single nucleotide polymorphisms and functional analysis of upstream haplotype variants. | Koukouritaki SB et al. | 2005 | Molecular pharmacology |
18565990 | Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence. | Saccone SF et al. | 2008 | Bioinformatics (Oxford, England) |
20301282 | Primary Trimethylaminuria. | Phillips IR et al. | 1993 | GeneReviews(®) |
22409263 | Flavin-containing monooxygenase 3 gene polymorphisms in Turkish population. | Ozhan G et al. | 2012 | Toxicology mechanisms and methods |
22871999 | Concordance of DMET plus genotyping results with those of orthogonal genotyping methods. | Fernandez CA et al. | 2012 | Clinical pharmacology and therapeutics |
23820649 | Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease. | Cooper DN et al. | 2013 | Human genetics |
24165757 | The association of cytochrome P450 genetic polymorphisms with sulfolane formation and the efficacy of a busulfan-based conditioning regimen in pediatric patients undergoing hematopoietic stem cell transplantation. | Uppugunduri CR et al. | 2014 | The pharmacogenomics journal |
24173915 | Effects of single-nucleotide polymorphisms of FMO3 and FMO6 genes on pharmacokinetic characteristics of sulindac sulfide in premature labor. | Park S et al. | 2014 | Drug metabolism and disposition |
25741868 | Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. | Richards S et al. | 2015 | Genetics in medicine |
27513517 | Association of FMO3 Variants and Trimethylamine N-Oxide Concentration, Disease Progression, and Mortality in CKD Patients. | Robinson-Cohen C et al. | 2016 | PloS one |
28290528 | Nicotine dependence is associated with functional variation in FMO3, an enzyme that metabolizes nicotine in the brain. | Teitelbaum AM et al. | 2018 | The pharmacogenomics journal |
28819071 | Genetic and Nongenetic Factors Associated with Protein Abundance of Flavin-Containing Monooxygenase 3 in Human Liver. | Xu M et al. | 2017 | The Journal of pharmacology and experimental therapeutics |
29795455 | Minor diplotypes of FMO3 might protect children and adolescents from obesity and insulin resistance. | Morandi A et al. | 2018 | International journal of obesity (2005) |
31932875 | Variability of voriconazole concentrations in patients with hematopoietic stem cell transplantation and hematological malignancies: influence of loading dose, procalcitonin, and pregnane X receptor polymorphisms. | Zeng G et al. | 2020 | European journal of clinical pharmacology |
34512362 | Influence of FMO3 and CYP3A4 Polymorphisms on the Pharmacokinetics of Teneligliptin in Humans. | Park JW et al. | 2021 | Frontiers in pharmacology |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.