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.
rs1137070
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chrX:43744144 (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>C
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
T=0.310157 (88301/284698, ALFA)T=0.349144 (92415/264690, TOPMED)T=0.378912 (69176/182565, GnomAD_exome) (+ 19 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- MAOA : Synonymous Variant
- Publications
- 37 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 | 284698 | T=0.310157 | C=0.689843 |
European | Sub | 246238 | T=0.294621 | C=0.705379 |
African | Sub | 11147 | T=0.37346 | C=0.62654 |
African Others | Sub | 410 | T=0.417 | C=0.583 |
African American | Sub | 10737 | T=0.37180 | C=0.62820 |
Asian | Sub | 3988 | T=0.5742 | C=0.4258 |
East Asian | Sub | 3212 | T=0.5931 | C=0.4069 |
Other Asian | Sub | 776 | T=0.496 | C=0.504 |
Latin American 1 | Sub | 1132 | T=0.2959 | C=0.7041 |
Latin American 2 | Sub | 7212 | T=0.3629 | C=0.6371 |
South Asian | Sub | 5226 | T=0.5825 | C=0.4175 |
Other | Sub | 9755 | T=0.3388 | C=0.6612 |
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 | 284698 | T=0.310157 | C=0.689843 |
Allele Frequency Aggregator | European | Sub | 246238 | T=0.294621 | C=0.705379 |
Allele Frequency Aggregator | African | Sub | 11147 | T=0.37346 | C=0.62654 |
Allele Frequency Aggregator | Other | Sub | 9755 | T=0.3388 | C=0.6612 |
Allele Frequency Aggregator | Latin American 2 | Sub | 7212 | T=0.3629 | C=0.6371 |
Allele Frequency Aggregator | South Asian | Sub | 5226 | T=0.5825 | C=0.4175 |
Allele Frequency Aggregator | Asian | Sub | 3988 | T=0.5742 | C=0.4258 |
Allele Frequency Aggregator | Latin American 1 | Sub | 1132 | T=0.2959 | C=0.7041 |
TopMed | Global | Study-wide | 264690 | T=0.349144 | C=0.650856 |
gnomAD - Exomes | Global | Study-wide | 182565 | T=0.378912 | C=0.621088 |
gnomAD - Exomes | European | Sub | 97263 | T=0.31089 | C=0.68911 |
gnomAD - Exomes | Asian | Sub | 32812 | T=0.59228 | C=0.40772 |
gnomAD - Exomes | American | Sub | 27368 | T=0.39568 | C=0.60432 |
gnomAD - Exomes | African | Sub | 13141 | T=0.37668 | C=0.62332 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 7470 | T=0.2858 | C=0.7142 |
gnomAD - Exomes | Other | Sub | 4511 | T=0.3525 | C=0.6475 |
ExAC | Global | Study-wide | 86811 | T=0.37403 | C=0.62597 |
ExAC | Europe | Sub | 52039 | T=0.30281 | C=0.69719 |
ExAC | Asian | Sub | 16408 | T=0.58368 | C=0.41632 |
ExAC | American | Sub | 9258 | T=0.4037 | C=0.5963 |
ExAC | African | Sub | 8474 | T=0.3729 | C=0.6271 |
ExAC | Other | Sub | 632 | T=0.377 | C=0.623 |
14KJPN | JAPANESE | Study-wide | 22223 | T=0.59366 | C=0.40634 |
8.3KJPN | JAPANESE | Study-wide | 12843 | T=0.59379 | C=0.40621 |
GO Exome Sequencing Project | Global | Study-wide | 10563 | T=0.32680 | C=0.67320 |
GO Exome Sequencing Project | European American | Sub | 6728 | T=0.2965 | C=0.7035 |
GO Exome Sequencing Project | African American | Sub | 3835 | T=0.3799 | C=0.6201 |
1000Genomes_30x | Global | Study-wide | 4805 | T=0.4408 | C=0.5592 |
1000Genomes_30x | African | Sub | 1328 | T=0.3607 | C=0.6393 |
1000Genomes_30x | Europe | Sub | 961 | T=0.284 | C=0.716 |
1000Genomes_30x | South Asian | Sub | 883 | T=0.650 | C=0.350 |
1000Genomes_30x | East Asian | Sub | 878 | T=0.576 | C=0.424 |
1000Genomes_30x | American | Sub | 755 | T=0.379 | C=0.621 |
1000Genomes | Global | Study-wide | 3775 | T=0.4482 | C=0.5518 |
1000Genomes | African | Sub | 1003 | T=0.3569 | C=0.6431 |
1000Genomes | Europe | Sub | 766 | T=0.292 | C=0.708 |
1000Genomes | East Asian | Sub | 764 | T=0.576 | C=0.424 |
1000Genomes | South Asian | Sub | 718 | T=0.648 | C=0.352 |
1000Genomes | American | Sub | 524 | T=0.391 | C=0.609 |
UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | T=0.2929 | C=0.7071 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | T=0.5543 | C=0.4457 |
The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 2889 | T=0.3008 | C=0.6992 |
HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | T=0.4045 | C=0.5955 |
HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | T=0.513 | C=0.487 |
HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | T=0.488 | C=0.512 |
HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | T=0.283 | C=0.717 |
HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | T=0.259 | C=0.741 |
HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | T=0.289 | C=0.711 |
HGDP-CEPH-db Supplement 1 | America | Sub | 216 | T=0.528 | C=0.472 |
HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | T=0.47 | C=0.53 |
HapMap | Global | Study-wide | 1888 | T=0.4317 | C=0.5683 |
HapMap | American | Sub | 768 | T=0.461 | C=0.539 |
HapMap | African | Sub | 690 | T=0.372 | C=0.628 |
HapMap | Asian | Sub | 254 | T=0.587 | C=0.413 |
HapMap | Europe | Sub | 176 | T=0.312 | C=0.688 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | T=0.260 | C=0.740 |
PharmGKB Aggregated | Global | Study-wide | 356 | T=0.441 | C=0.559 |
PharmGKB Aggregated | PA147967515 | Sub | 356 | T=0.441 | C=0.559 |
SGDP_PRJ | Global | Study-wide | 354 | T=0.130 | C=0.870 |
A Vietnamese Genetic Variation Database | Global | Study-wide | 148 | T=0.581 | C=0.419 |
Qatari | Global | Study-wide | 108 | T=0.315 | C=0.685 |
Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 56 | T=0.43 | C=0.57 |
The Danish reference pan genome | Danish | Study-wide | 40 | T=0.20 | C=0.80 |
Siberian | Global | Study-wide | 34 | T=0.24 | C=0.76 |
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 X | NC_000023.11:g.43744144T>C |
GRCh37.p13 chr X | NC_000023.10:g.43603391T>C |
MAOA RefSeqGene | NG_008957.2:g.92984T>C |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
MAOA transcript variant 1 | NM_000240.4:c.1410T>C | D [GAT] > D [GAC] | Coding Sequence Variant |
amine oxidase [flavin-containing] A isoform 1 | NP_000231.1:p.Asp470= | D (Asp) > D (Asp) | Synonymous Variant |
MAOA transcript variant 2 | NM_001270458.2:c.1011T>C | D [GAT] > D [GAC] | Coding Sequence Variant |
amine oxidase [flavin-containing] A isoform 2 | NP_001257387.1:p.Asp337= | D (Asp) > D (Asp) | Synonymous 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 |
---|---|---|
RCV000078414.20 | not specified | Benign |
RCV000715341.2 | History of neurodevelopmental disorder | Benign |
RCV001513026.7 | Brunner syndrome | 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 | T= | C |
---|---|---|
GRCh38.p14 chr X | NC_000023.11:g.43744144= | NC_000023.11:g.43744144T>C |
GRCh37.p13 chr X | NC_000023.10:g.43603391= | NC_000023.10:g.43603391T>C |
MAOA RefSeqGene | NG_008957.2:g.92984= | NG_008957.2:g.92984T>C |
MAOA transcript variant 1 | NM_000240.4:c.1410= | NM_000240.4:c.1410T>C |
MAOA transcript variant 1 | NM_000240.3:c.1410= | NM_000240.3:c.1410T>C |
MAOA transcript variant 2 | NM_001270458.2:c.1011= | NM_001270458.2:c.1011T>C |
MAOA transcript variant 2 | NM_001270458.1:c.1011= | NM_001270458.1:c.1011T>C |
amine oxidase [flavin-containing] A isoform 1 | NP_000231.1:p.Asp470= | NP_000231.1:p.Asp470= |
amine oxidase [flavin-containing] A isoform 2 | NP_001257387.1:p.Asp337= | NP_001257387.1:p.Asp337= |
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 | ss2421532 | Nov 14, 2000 (126) |
2 | YUSUKE | ss3237543 | Sep 28, 2001 (126) |
3 | ACEVAN | ss4258337 | Jan 04, 2002 (126) |
4 | SNP500CANCER | ss5586752 | Jul 02, 2003 (126) |
5 | SC_SNP | ss8176608 | Apr 21, 2003 (126) |
6 | SC_SNP | ss8491271 | Jul 11, 2003 (126) |
7 | SSAHASNP | ss21072189 | Apr 05, 2004 (126) |
8 | PERLEGEN | ss23816187 | Sep 20, 2004 (126) |
9 | KYUGEN | ss35077285 | May 24, 2005 (126) |
10 | KYUGEN | ss35077286 | May 24, 2005 (126) |
11 | ABI | ss43621903 | Mar 10, 2006 (126) |
12 | ILLUMINA | ss65737637 | Oct 15, 2006 (127) |
13 | ILLUMINA | ss67197061 | Nov 30, 2006 (127) |
14 | ILLUMINA | ss67586078 | Nov 30, 2006 (127) |
15 | ILLUMINA | ss68188872 | Dec 12, 2006 (127) |
16 | PERLEGEN | ss69261376 | May 17, 2007 (127) |
17 | ILLUMINA | ss70675271 | May 24, 2008 (130) |
18 | ILLUMINA | ss71238285 | May 17, 2007 (127) |
19 | ILLUMINA | ss75704075 | Dec 07, 2007 (129) |
20 | CGM_KYOTO | ss76876407 | Dec 07, 2007 (129) |
21 | KRIBB_YJKIM | ss83687489 | Dec 15, 2007 (130) |
22 | PHARMGKB_AB_DME | ss84168435 | Dec 15, 2007 (130) |
23 | CORNELL | ss86272500 | Mar 23, 2008 (129) |
24 | SHGC | ss99307779 | Feb 05, 2009 (130) |
25 | 1000GENOMES | ss112871419 | Jan 25, 2009 (130) |
26 | 1000GENOMES | ss114663274 | Jan 25, 2009 (130) |
27 | ENSEMBL | ss133970543 | Dec 01, 2009 (131) |
28 | ILLUMINA | ss152983702 | Dec 01, 2009 (131) |
29 | ILLUMINA | ss159174450 | Dec 01, 2009 (131) |
30 | SEATTLESEQ | ss159745304 | Dec 01, 2009 (131) |
31 | ILLUMINA | ss159977519 | Dec 01, 2009 (131) |
32 | COMPLETE_GENOMICS | ss163099013 | Jul 04, 2010 (132) |
33 | COMPLETE_GENOMICS | ss164832363 | Jul 04, 2010 (132) |
34 | COMPLETE_GENOMICS | ss166214162 | Jul 04, 2010 (132) |
35 | ILLUMINA | ss171246754 | Jul 04, 2010 (132) |
36 | BUSHMAN | ss204225403 | Jul 04, 2010 (132) |
37 | BCM-HGSC-SUB | ss208878436 | Jul 04, 2010 (132) |
38 | ILLUMINA | ss244260970 | Jul 04, 2010 (132) |
39 | ILLUMINA | ss244272383 | Jul 04, 2010 (132) |
40 | BL | ss255983105 | May 09, 2011 (134) |
41 | GMI | ss283741997 | May 04, 2012 (137) |
42 | GMI | ss287608635 | Apr 25, 2013 (138) |
43 | PJP | ss294548274 | May 09, 2011 (134) |
44 | 1000GENOMES | ss341453389 | May 09, 2011 (134) |
45 | NHLBI-ESP | ss342552256 | May 09, 2011 (134) |
46 | ILLUMINA | ss479518888 | May 04, 2012 (137) |
47 | ILLUMINA | ss479522750 | May 04, 2012 (137) |
48 | ILLUMINA | ss479975854 | Sep 08, 2015 (146) |
49 | ILLUMINA | ss484558588 | May 04, 2012 (137) |
50 | 1000GENOMES | ss491199769 | May 04, 2012 (137) |
51 | CLINSEQ_SNP | ss491950156 | May 04, 2012 (137) |
52 | ILLUMINA | ss536694057 | Sep 08, 2015 (146) |
53 | TISHKOFF | ss566850893 | Apr 25, 2013 (138) |
54 | SSMP | ss662785073 | Apr 25, 2013 (138) |
55 | ILLUMINA | ss778758235 | Sep 08, 2015 (146) |
56 | ILLUMINA | ss782725956 | Sep 08, 2015 (146) |
57 | ILLUMINA | ss783693348 | Sep 08, 2015 (146) |
58 | ILLUMINA | ss831977621 | Sep 08, 2015 (146) |
59 | ILLUMINA | ss832686978 | Jul 13, 2019 (153) |
60 | ILLUMINA | ss834217969 | Sep 08, 2015 (146) |
61 | JMKIDD_LAB | ss974514047 | Aug 21, 2014 (142) |
62 | JMKIDD_LAB | ss1067609725 | Aug 21, 2014 (142) |
63 | JMKIDD_LAB | ss1082896736 | Aug 21, 2014 (142) |
64 | DDI | ss1432035340 | Apr 01, 2015 (144) |
65 | 1000GENOMES | ss1554248717 | Apr 01, 2015 (144) |
66 | EVA_GENOME_DK | ss1583381663 | Apr 01, 2015 (144) |
67 | EVA_UK10K_ALSPAC | ss1640681665 | Apr 01, 2015 (144) |
68 | EVA_UK10K_TWINSUK | ss1683675698 | Apr 01, 2015 (144) |
69 | EVA_EXAC | ss1694497214 | Apr 01, 2015 (144) |
70 | EVA_MGP | ss1711580326 | Apr 01, 2015 (144) |
71 | ILLUMINA | ss1752807005 | Sep 08, 2015 (146) |
72 | WEILL_CORNELL_DGM | ss1939306051 | Feb 12, 2016 (147) |
73 | ILLUMINA | ss1945972279 | Feb 12, 2016 (147) |
74 | ILLUMINA | ss1958190388 | Feb 12, 2016 (147) |
75 | GENOMED | ss1971372812 | Jul 19, 2016 (147) |
76 | USC_VALOUEV | ss2159035125 | Dec 20, 2016 (150) |
77 | HUMAN_LONGEVITY | ss2317050739 | Dec 20, 2016 (150) |
78 | SYSTEMSBIOZJU | ss2629696788 | Nov 08, 2017 (151) |
79 | ILLUMINA | ss2634957228 | Nov 08, 2017 (151) |
80 | ILLUMINA | ss2634957229 | Nov 08, 2017 (151) |
81 | GRF | ss2710156841 | Nov 08, 2017 (151) |
82 | ILLUMINA | ss2711180863 | Nov 08, 2017 (151) |
83 | GNOMAD | ss2745367528 | Nov 08, 2017 (151) |
84 | GNOMAD | ss2746094830 | Nov 08, 2017 (151) |
85 | GNOMAD | ss2978334378 | Nov 08, 2017 (151) |
86 | AFFY | ss2985484024 | Nov 08, 2017 (151) |
87 | AFFY | ss2986130261 | Nov 08, 2017 (151) |
88 | SWEGEN | ss3019897407 | Nov 08, 2017 (151) |
89 | ILLUMINA | ss3023004384 | Nov 08, 2017 (151) |
90 | BIOINF_KMB_FNS_UNIBA | ss3029042121 | Nov 08, 2017 (151) |
91 | ILLUMINA | ss3625997542 | Oct 12, 2018 (152) |
92 | ILLUMINA | ss3630426610 | Oct 12, 2018 (152) |
93 | ILLUMINA | ss3632843581 | Oct 12, 2018 (152) |
94 | ILLUMINA | ss3633557930 | Oct 12, 2018 (152) |
95 | ILLUMINA | ss3634287680 | Oct 12, 2018 (152) |
96 | ILLUMINA | ss3635247832 | Oct 12, 2018 (152) |
97 | ILLUMINA | ss3635965034 | Oct 12, 2018 (152) |
98 | ILLUMINA | ss3636996392 | Oct 12, 2018 (152) |
99 | ILLUMINA | ss3637718500 | Oct 12, 2018 (152) |
100 | ILLUMINA | ss3638856350 | Oct 12, 2018 (152) |
101 | ILLUMINA | ss3639431936 | Oct 12, 2018 (152) |
102 | ILLUMINA | ss3640005767 | Oct 12, 2018 (152) |
103 | ILLUMINA | ss3640955315 | Oct 12, 2018 (152) |
104 | ILLUMINA | ss3643780654 | Oct 12, 2018 (152) |
105 | ILLUMINA | ss3644048211 | Oct 12, 2018 (152) |
106 | ILLUMINA | ss3645011317 | Oct 12, 2018 (152) |
107 | OMUKHERJEE_ADBS | ss3646572041 | Oct 12, 2018 (152) |
108 | URBANLAB | ss3651269117 | Oct 12, 2018 (152) |
109 | ILLUMINA | ss3653562854 | Oct 12, 2018 (152) |
110 | ILLUMINA | ss3654250623 | Oct 12, 2018 (152) |
111 | ILLUMINA | ss3726675399 | Jul 13, 2019 (153) |
112 | ILLUMINA | ss3744329852 | Jul 13, 2019 (153) |
113 | ILLUMINA | ss3745548251 | Jul 13, 2019 (153) |
114 | EVA | ss3770116814 | Jul 13, 2019 (153) |
115 | ILLUMINA | ss3773039955 | Jul 13, 2019 (153) |
116 | PACBIO | ss3788894529 | Jul 13, 2019 (153) |
117 | PACBIO | ss3793758585 | Jul 13, 2019 (153) |
118 | PACBIO | ss3798643661 | Jul 13, 2019 (153) |
119 | KHV_HUMAN_GENOMES | ss3822948529 | Jul 13, 2019 (153) |
120 | EVA | ss3825481325 | Apr 27, 2020 (154) |
121 | EVA | ss3836157997 | Apr 27, 2020 (154) |
122 | EVA | ss3841692101 | Apr 27, 2020 (154) |
123 | EVA | ss3847211246 | Apr 27, 2020 (154) |
124 | HGDP | ss3847972606 | Apr 27, 2020 (154) |
125 | SGDP_PRJ | ss3891343714 | Apr 27, 2020 (154) |
126 | KRGDB | ss3941746631 | Apr 27, 2020 (154) |
127 | FSA-LAB | ss3984440254 | Apr 26, 2021 (155) |
128 | EVA | ss3984765385 | Apr 26, 2021 (155) |
129 | EVA | ss3985942104 | Apr 26, 2021 (155) |
130 | EVA | ss3986089177 | Apr 26, 2021 (155) |
131 | EVA | ss3986876446 | Apr 26, 2021 (155) |
132 | TOPMED | ss5121349321 | Apr 26, 2021 (155) |
133 | TOMMO_GENOMICS | ss5234267192 | Apr 26, 2021 (155) |
134 | EVA | ss5237056010 | Apr 26, 2021 (155) |
135 | 1000G_HIGH_COVERAGE | ss5312393595 | Oct 16, 2022 (156) |
136 | TRAN_CS_UWATERLOO | ss5314459227 | Oct 16, 2022 (156) |
137 | EVA | ss5316082188 | Oct 16, 2022 (156) |
138 | HUGCELL_USP | ss5504080386 | Oct 16, 2022 (156) |
139 | 1000G_HIGH_COVERAGE | ss5620547697 | Oct 16, 2022 (156) |
140 | EVA | ss5623984800 | Oct 16, 2022 (156) |
141 | EVA | ss5624191329 | Oct 16, 2022 (156) |
142 | SANFORD_IMAGENETICS | ss5665161553 | Oct 16, 2022 (156) |
143 | TOMMO_GENOMICS | ss5795913348 | Oct 16, 2022 (156) |
144 | EVA | ss5800076036 | Oct 16, 2022 (156) |
145 | EVA | ss5800238575 | Oct 16, 2022 (156) |
146 | YY_MCH | ss5819013993 | Oct 16, 2022 (156) |
147 | EVA | ss5848231697 | Oct 16, 2022 (156) |
148 | EVA | ss5848741166 | Oct 16, 2022 (156) |
149 | EVA | ss5857070944 | Oct 16, 2022 (156) |
150 | EVA | ss5936581261 | Oct 16, 2022 (156) |
151 | EVA | ss5978162602 | Oct 16, 2022 (156) |
152 | EVA | ss5981155244 | Oct 16, 2022 (156) |
153 | 1000Genomes | NC_000023.10 - 43603391 | Oct 12, 2018 (152) |
154 | 1000Genomes_30x | NC_000023.11 - 43744144 | Oct 16, 2022 (156) |
155 | The Avon Longitudinal Study of Parents and Children | NC_000023.10 - 43603391 | Oct 12, 2018 (152) |
156 | ExAC | NC_000023.10 - 43603391 | Oct 12, 2018 (152) |
157 | The Danish reference pan genome | NC_000023.10 - 43603391 | Apr 27, 2020 (154) |
158 | gnomAD - Exomes | NC_000023.10 - 43603391 | Jul 13, 2019 (153) |
159 | GO Exome Sequencing Project | NC_000023.10 - 43603391 | Oct 12, 2018 (152) |
160 | HGDP-CEPH-db Supplement 1 | NC_000023.9 - 43488335 | Apr 27, 2020 (154) |
161 | HapMap | NC_000023.11 - 43744144 | Apr 27, 2020 (154) |
162 | KOREAN population from KRGDB | NC_000023.10 - 43603391 | Apr 27, 2020 (154) |
163 | Medical Genome Project healthy controls from Spanish population | NC_000023.10 - 43603391 | Apr 27, 2020 (154) |
164 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000023.10 - 43603391 | Apr 26, 2021 (155) |
165 | PharmGKB Aggregated | NC_000023.11 - 43744144 | Apr 27, 2020 (154) |
166 | Qatari | NC_000023.10 - 43603391 | Apr 27, 2020 (154) |
167 | SGDP_PRJ | NC_000023.10 - 43603391 | Apr 27, 2020 (154) |
168 | Siberian | NC_000023.10 - 43603391 | Apr 27, 2020 (154) |
169 | 8.3KJPN | NC_000023.10 - 43603391 | Apr 26, 2021 (155) |
170 | 14KJPN | NC_000023.11 - 43744144 | Oct 16, 2022 (156) |
171 | TopMed | NC_000023.11 - 43744144 | Apr 26, 2021 (155) |
172 | UK 10K study - Twins | NC_000023.10 - 43603391 | Oct 12, 2018 (152) |
173 | A Vietnamese Genetic Variation Database | NC_000023.10 - 43603391 | Jul 13, 2019 (153) |
174 | ALFA | NC_000023.11 - 43744144 | Apr 26, 2021 (155) |
175 | ClinVar | RCV000078414.20 | Oct 16, 2022 (156) |
176 | ClinVar | RCV000715341.2 | Oct 16, 2022 (156) |
177 | ClinVar | RCV001513026.7 | 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) |
---|---|
rs1801291 | Mar 10, 2006 (126) |
rs3200740 | Oct 09, 2002 (108) |
rs11544797 | Mar 10, 2006 (126) |
rs28969611 | Oct 25, 2006 (127) |
rs58505679 | May 24, 2008 (130) |
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss3639431936, ss3640005767, ss3644048211 | NC_000023.8:43359644:T:C | NC_000023.11:43744143:T:C | (self) |
650498, ss112871419, ss114663274, ss163099013, ss164832363, ss166214162, ss204225403, ss208878436, ss255983105, ss283741997, ss287608635, ss294548274, ss479518888, ss491950156, ss3643780654, ss3847972606 | NC_000023.9:43488334:T:C | NC_000023.11:43744143:T:C | (self) |
82225481, 45404822, 9997488, 9546600, 14703514, 1938117, 48924025, 696086, 1168031, 21347973, 43360694, 11551479, 92236499, 45404822, 10008411, ss341453389, ss342552256, ss479522750, ss479975854, ss484558588, ss491199769, ss536694057, ss566850893, ss662785073, ss778758235, ss782725956, ss783693348, ss831977621, ss832686978, ss834217969, ss974514047, ss1067609725, ss1082896736, ss1432035340, ss1554248717, ss1583381663, ss1640681665, ss1683675698, ss1694497214, ss1711580326, ss1752807005, ss1939306051, ss1945972279, ss1958190388, ss1971372812, ss2159035125, ss2629696788, ss2634957228, ss2634957229, ss2710156841, ss2711180863, ss2745367528, ss2746094830, ss2978334378, ss2985484024, ss2986130261, ss3019897407, ss3023004384, ss3625997542, ss3630426610, ss3632843581, ss3633557930, ss3634287680, ss3635247832, ss3635965034, ss3636996392, ss3637718500, ss3638856350, ss3640955315, ss3645011317, ss3646572041, ss3653562854, ss3654250623, ss3744329852, ss3745548251, ss3770116814, ss3773039955, ss3788894529, ss3793758585, ss3798643661, ss3825481325, ss3836157997, ss3841692101, ss3891343714, ss3941746631, ss3984440254, ss3984765385, ss3985942104, ss3986089177, ss3986876446, ss5234267192, ss5316082188, ss5623984800, ss5624191329, ss5665161553, ss5800076036, ss5800238575, ss5848231697, ss5848741166, ss5936581261, ss5978162602, ss5981155244 | NC_000023.10:43603390:T:C | NC_000023.11:43744143:T:C | (self) |
RCV000078414.20, RCV000715341.2, RCV001513026.7, 108073632, 3978216, 12835, 129750452, 684955678, 12948385198, ss2317050739, ss3029042121, ss3651269117, ss3726675399, ss3822948529, ss3847211246, ss5121349321, ss5237056010, ss5312393595, ss5314459227, ss5504080386, ss5620547697, ss5795913348, ss5819013993, ss5857070944 | NC_000023.11:43744143:T:C | NC_000023.11:43744143:T:C | (self) |
ss8491271 | NT_011568.12:6423258:T:C | NC_000023.11:43744143:T:C | (self) |
ss21072189 | NT_011568.13:12780:T:C | NC_000023.11:43744143:T:C | (self) |
ss2421532, ss3237543, ss4258337, ss5586752, ss8176608, ss23816187, ss35077285, ss35077286, ss43621903, ss65737637, ss67197061, ss67586078, ss68188872, ss69261376, ss70675271, ss71238285, ss75704075, ss76876407, ss83687489, ss84168435, ss86272500, ss99307779, ss133970543, ss152983702, ss159174450, ss159745304, ss159977519, ss171246754, ss244260970, ss244272383 | NT_079573.4:6455134:T:C | NC_000023.11:43744143:T:C | (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 |
---|---|---|---|---|
16174289 | MAOA haplotypes associated with thrombocyte-MAO activity. | Jansson M et al. | 2005 | BMC genetics |
16272956 | CYP2A6, MAOA, DBH, DRD4, and 5HT2A genotypes, smoking behaviour and cotinine levels in 1518 UK adolescents. | Huang S et al. | 2005 | Pharmacogenetics and genomics |
17427196 | Monoamine oxidase A gene polymorphism predicts adolescent outcome of attention-deficit/hyperactivity disorder. | Li J et al. | 2007 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
18486967 | A community-based study of cigarette smoking behavior in relation to variation in three genes involved in dopamine metabolism: Catechol-O-methyltransferase (COMT), dopamine beta-hydroxylase (DBH) and monoamine oxidase-A (MAO-A). | Shiels MS et al. | 2008 | Preventive medicine |
18698231 | Polymorphisms affecting gene transcription and mRNA processing in pharmacogenetic candidate genes: detection through allelic expression imbalance in human target tissues. | Johnson AD et al. | 2008 | Pharmacogenetics and genomics |
18726986 | Differential association between MAOA, ADHD and neuropsychological functioning in boys and girls. | Rommelse NN et al. | 2008 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
18937309 | Sexually dimorphic effects of four genes (COMT, SLC6A2, MAOA, SLC6A4) in genetic associations of ADHD: a preliminary study. | Biederman J et al. | 2008 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
19100789 | Family- and population-based association studies of monoamine oxidase A and autism spectrum disorders in Korean. | Yoo HJ et al. | 2009 | Neuroscience research |
19224413 | Association of monoamine oxidase A (MAOA) polymorphisms and clinical subgroups of major depressive disorders in the Han Chinese population. | Huang SY et al. | 2009 | The world journal of biological psychiatry |
19693267 | Financial and psychological risk attitudes associated with two single nucleotide polymorphisms in the nicotine receptor (CHRNA4) gene. | Roe BE et al. | 2009 | PloS one |
19772600 | A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data. | Huang LC et al. | 2009 | Journal of translational medicine |
19915868 | Monoamine oxidase A gene polymorphisms and enzyme activity associated with risk of gout in Taiwan aborigines. | Tu HP et al. | 2010 | Human genetics |
20691428 | A cis-phase interaction study of genetic variants within the MAOA gene in major depressive disorder. | Zhang J et al. | 2010 | Biological psychiatry |
21680027 | Influence and interaction of genetic polymorphisms in catecholamine neurotransmitter systems and early life stress on antidepressant drug response. | Xu Z et al. | 2011 | Journal of affective disorders |
22162429 | Study of a possible role of the monoamine oxidase A (MAOA) gene in paranoid schizophrenia among a Chinese population. | Sun Y et al. | 2012 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
22832821 | Working memory brain activity and capacity link MAOA polymorphism to aggressive behavior during development. | Ziermans T et al. | 2012 | Translational psychiatry |
23757202 | Free the data: one laboratory's approach to knowledge-based genomic variant classification and preparation for EMR integration of genomic data. | Bean LJ et al. | 2013 | Human mutation |
24291416 | Sexual dimorphic effect in the genetic association of monoamine oxidase A (MAOA) markers with autism spectrum disorder. | Verma D et al. | 2014 | Progress in neuro-psychopharmacology & biological psychiatry |
24356376 | Interaction between MAOA and FOXP2 in association with autism and verbal communication in a Korean population. | Park Y et al. | 2014 | Journal of child neurology |
24510409 | Association study between monoamine oxidase A (MAOA) gene polymorphisms and schizophrenia: lack of association with schizophrenia and possible association with affective disturbances of schizophrenia. | Kim SK et al. | 2014 | Molecular biology reports |
24881125 | From pharmacogenetics to pharmacogenomics: the way toward the personalization of antidepressant treatment. | Fabbri C et al. | 2014 | Canadian journal of psychiatry. Revue canadienne de psychiatrie |
24889756 | Preliminary investigation of the influence of dopamine regulating genes on social working memory. | Dumontheil I et al. | 2014 | Social neuroscience |
25066260 | Functional polymorphisms of the MAO gene with Parkinson disease susceptibility: a meta-analysis. | Sun YX et al. | 2014 | Journal of the neurological sciences |
25777072 | The Altered Brain Activation of Phonological Working Memory, Dual Tasking, and Distraction Among Participants With Adult ADHD and the Effect of the MAOA Polymorphism. | Ko CH et al. | 2018 | Journal of attention disorders |
26015071 | Effects of Interaction Between Dopamine D2 Receptor and Monoamine Oxidase A Genes on Smoking Status in Young Men. | Huang CL et al. | 2015 | Biological research for nursing |
26227907 | MAOA Variants and Genetic Susceptibility to Major Psychiatric Disorders. | Liu Z et al. | 2016 | Molecular neurobiology |
27610078 | MAOA Influences the Trajectory of Attentional Development. | Lundwall RA et al. | 2016 | Frontiers in human neuroscience |
28345608 | MAOA rs1137070 and heroin addiction interactively alter gray matter volume of the salience network. | Sun Y et al. | 2017 | Scientific reports |
28982350 | Pilot study indicate role of preferentially transmitted monoamine oxidase gene variants in behavioral problems of male ADHD probands. | Karmakar A et al. | 2017 | BMC medical genetics |
29557505 | Differences in SNP genotype distributions between complex and simple suicides. | Čugura T et al. | 2018 | International journal of legal medicine |
30123371 | Multiple Membrane Transporters and Some Immune Regulatory Genes are Major Genetic Factors to Gout. | Zhu W et al. | 2018 | The open rheumatology journal |
30456877 | Interactions between monoamine oxidase A rs1137070 and smoking on brain structure and function in male smokers. | Shen Z et al. | 2019 | The European journal of neuroscience |
30967134 | A pharmacogenetic study of patients with schizophrenia from West Siberia gets insight into dopaminergic mechanisms of antipsychotic-induced hyperprolactinemia. | Osmanova DZ et al. | 2019 | BMC medical genetics |
31721380 | A haplotype-specific linkage disequilibrium pattern of monoamine oxidase A gene associated with regular smoking in women. | Chiang SL et al. | 2019 | The journal of gene medicine |
32702381 | Influence and interaction of genetic, cognitive, neuroendocrine and personalistic markers to antidepressant response in Chinese patients with major depression. | Bi Y et al. | 2021 | Progress in neuro-psychopharmacology & biological psychiatry |
34199135 | Roles of Hostility and Depression in the Association between the MAOA Gene Polymorphism and Internet Gaming Disorder. | Yen JY et al. | 2021 | International journal of environmental research and public health |
34795483 | Association of Two Variable Number of Tandem Repeats in the Monoamine Oxidase A Gene Promoter with Schizophrenia. | Tanifuji T et al. | 2021 | Neuropsychiatric disease and treatment |
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.