| Title |
A functional polymorphism in the monoamine oxidase A gene promoter
|
|---|---|
| Published in |
Human Genetics, February 2014
|
| DOI | 10.1007/s004390050816 |
| Pubmed ID | |
| Authors |
S. Z. Sabol, Stella Hu, D. Hamer |
| Abstract |
We describe a new polymorphism upstream of the gene for monoamine oxidase A (MAOA), an important enzyme in human physiology and behavior. The polymorphism, which is located 1.2 kb upstream of the MAOA coding sequences, consists of a 30-bp repeated sequence present in 3, 3.5, 4, or 5 copies. The polymorphism is in linkage disequilibrium with other MAOA and MAOB gene markers and displays significant variations in allele frequencies across ethnic groups. The polymorphism has been shown to affect the transcriptional activity of the MAOA gene promoter by gene fusion and transfection experiments involving three different cell types. Alleles with 3.5 or 4 copies of the repeat sequence are transcribed 2-10 times more efficiently than those with 3 or 5 copies of the repeat, suggesting an optimal length for the regulatory region. This promoter region polymorphism may be useful as both a functional and an anonymous genetic marker for MAOA. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| Singapore | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 364 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 62 | 16% |
| Student > Bachelor | 59 | 15% |
| Researcher | 52 | 14% |
| Student > Master | 40 | 10% |
| Student > Postgraduate | 25 | 7% |
| Other | 87 | 23% |
| Unknown | 56 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 23% |
| Psychology | 76 | 20% |
| Biochemistry, Genetics and Molecular Biology | 42 | 11% |
| Medicine and Dentistry | 39 | 10% |
| Neuroscience | 28 | 7% |
| Other | 32 | 8% |
| Unknown | 77 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2023.
All research outputs
#1,046,177
of 25,728,350 outputs
Outputs from Human Genetics
#79
of 2,977 outputs
Outputs of similar age
#10,095
of 238,940 outputs
Outputs of similar age from Human Genetics
#3
of 46 outputs
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