| Title |
Monoamine oxidase A gene polymorphisms and enzyme activity associated with risk of gout in Taiwan aborigines
|
|---|---|
| Published in |
Human Genetics, November 2009
|
| DOI | 10.1007/s00439-009-0765-z |
| Pubmed ID | |
| Authors |
Hung-Pin Tu, Albert Min-Shan Ko, Shu-Jung Wang, Chien-Hung Lee, Rod A. Lea, Shang-Lun Chiang, Hung-Che Chiang, Tsu-Nai Wang, Meng-Chuan Huang, Tsan-Teng Ou, Gau-Tyan Lin, Ying-Chin Ko |
| Abstract |
Taiwanese aborigines have a high prevalence of hyperuricemia and gout. Uric acid levels and urate excretion have correlated with dopamine-induced glomerular filtration response. MAOs represent one of the major renal dopamine metabolic pathways. We aimed to identify the monoamine oxidase A (MAOA, Xp11.3) gene variants and MAO-A enzyme activity associated with gout risk. This study was to investigate the association between gout and the MAOA single-nucleotide polymorphisms (SNPs) rs5953210, rs2283725, and rs1137070 as well as between gout and the COMT SNPs rs4680 Val158Met for 374 gout cases and 604 controls. MAO-A activity was also measured. All three MAOA SNPs were significantly associated with gout. A synonymous MAOA SNP, rs1137070 Asp470Asp, located in exon 14, was associated with the risk of having gout (P = 4.0 x 10(-5), adjusted odds ratio 1.46, 95% confidence intervals [CI]: 1.11-1.91). We also showed that, when compared to individuals with the MAOA GAT haplotype, carriers of the AGC haplotype had a 1.67-fold (95% CI: 1.28-2.17) higher risk of gout. Moreover, we found that MAOA enzyme activity correlated positively with hyperuricemia and gout (P for trend = 2.00 x 10(-3) vs. normal control). We also found that MAOA enzyme activity by rs1137070 allele was associated with hyperuricemia and gout (P for trend = 1.53 x 10(-6) vs. wild-type allele). Thus, our results show that some MAOA alleles, which have a higher enzyme activity, predispose to the development of gout. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Lecturer > Senior Lecturer | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Researcher | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Other | 5 | 25% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 25% |
| Arts and Humanities | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 April 2010.
All research outputs
#5,621,741
of 22,705,019 outputs
Outputs from Human Genetics
#715
of 2,950 outputs
Outputs of similar age
#26,000
of 92,800 outputs
Outputs of similar age from Human Genetics
#5
of 13 outputs
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So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 75% of its peers.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.