| Literature DB >> 24575113 |
Yong Ji1, Zhihong Shi1, Mengyuan Liu2, Shuai Liu2, Shuling Liu2, Jinhuan Wang1.
Abstract
BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia worldwide and is associated with individual, familial and social burdens. Catechol-O-methyltransferase (COMT) may have a prominent role in AD pathophysiology by affecting the metabolism of catecholamine neurotransmitters and estrogen. Although the COMT rs4680 gene polymorphism has been investigated as a susceptibility factor for AD, the results are inconsistent. The aim of this study was to examine the influence of the COMT rs4680 gene polymorphism as a risk factor for AD in the Han Chinese population and its synergistic effect with the apolipoprotein E (APOE)gene.Entities:
Keywords: Alzheimer's disease; Apolipoprotein E; Catechol-O-methyltransferase; Polymorphism
Year: 2014 PMID: 24575113 PMCID: PMC3934601 DOI: 10.1159/000357161
Source DB: PubMed Journal: Dement Geriatr Cogn Dis Extra ISSN: 1664-5464
Allele and genotype frequencies in AD patients and healthy controls
| AD, n (%) (n = 137) | Control, n (%) (n = 194) | p (χ2) | ||
|---|---|---|---|---|
| COMT | Genotype | 0.071 (5.300) | ||
| GG | 58 (42.3) | 97 (50.0) | ||
| GA | 61 (44.5) | 85 (43.8) | ||
| AA | 18 (13.1) | 12 (6.2) | ||
| Allele | 0.045 (4.002) | |||
| A | 97 (35.4) | 109 (28.1) | ||
| G | 177 (64.6) | 279 (71.9) | ||
| APOE | Genotype | 0.000 (43.790) | ||
| E2/E3 | 9 (6.6) | 27 (13.9) | ||
| E3/E3 | 69 (50.4) | 144 (74.2) | ||
| E2/E4 | 1 (0.7) | 0 | ||
| E3/E4 | 48 (35.0) | 21 (10.8) | ||
| E4/E4 | 10 (7.3) | 2 (1.0) | ||
| Allele | 0.000 (47.628) | |||
| E2 | 10 (3.6) | 27 (7.0) | ||
| E3 | 195 (71.2) | 336 (86.6) | ||
| E4 | 69 (25.2) | 25 (6.4) | ||
Two-tailed χ2 test for genotype distribution or allele frequency between AD patients and controls.
Binary logistic regression model of the risk factors for AD
| OR | 95% CI | p value | |
|---|---|---|---|
| Independent risk factor | |||
| A+ | 1.362 | 0.877 – 2.116 | 0.169 |
| E4+ | 5.624 | 3.241 – 9.759 | 0.000 |
| E4+A– | 5.707 | 2.505 – 13.002 | 0.000 |
| E4–A+ | 1.806 | 1.160 – 2.810 | 0.009 |
| Synergistic effect | |||
| E4+ (AA+AG) | 3.637 | 1.882 – 7.029 | 0.000 |
| E4+GG | 5.707 | 2.505 – 13.002 | 0.000 |
Gender effects
| Men, OR (95% CI) (n = 63) | p value | Women, OR (95% CI) (n = 74) | p value | |
|---|---|---|---|---|
| Independent risk factor | ||||
| A+ | 2.867 (1.429 – 5.753) | 0.003 | 0.785 (0.438 – 1.406) | 0.415 |
| E4+ | 2.167 (0.950 – 4.936) | 0.066 | 11.972 (5.534 – 25.902) | 0.000 |
| E4+A– | 1.241 (0.343 – 4.496) | 0.742 | 16.077 (4.606 – 56.118) | 0.000 |
| E4–A+ | 4.904 (2.381 – 10.099) | 0.000 | 0.877 (0.489 – 1.573) | 0.659 |
| Synergistic effect | ||||
| E4+ (AA+AG) | 2.600 (0.968 – 6.983) | 0.058 | 4.707 (1.938 – 11.432) | 0.001 |
| E4+GG | 1.241 (0.343 – 4.496) | 0.742 | 16.077 (4.606 – 56.118) | 0.000 |