Interaction of Alcohol Consumption and ABCG2 rs2231142 Variant Contributes to Hyperuricemia in a Taiwanese Population
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Source and Study Sample
2.2. SNP Genotyping and Quality Controls
2.3. Data Collection and Outcome
2.4. Statistical Analysis
3. Results
3.1. Baseline Characteristics of Study Population
3.2. Distribution and Association of ABCG2 rs2231142 Variants in HUA
3.3. Association between ABCG2 rs2231142 and Alcohol Consumption in HUA
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Male (n = 41,265) | Female (n = 73,272) | |||||
---|---|---|---|---|---|---|
Without HUA (n = 27,773) | HUA (n = 13,492) | p-Value | Without HUA (n = 70,018) | HUA (n = 3254) | p-Value | |
Age (years) (%) a | ||||||
30–45 | 6023 (21.7) | 3647 (27.0) | <0.001 | 15,315 (21.9) | 398 (12.2) | |
45–55 | 6945 (25.0) | 3577 (26.5) | 18,477 (26.4) | 495 (15.2) | ||
55–70 | 14,805 (53.3) | 6268 (46.5) | 36,226 (49.4) | 2361 (72.6) | <0.001 | |
Current/ever alcohol consumption (%) | ||||||
No | 24,598 (88.6) | 11,267 (83.6) | 68,709 (98.2) | 3143 (96.6) | ||
Yes | 3160 (11.4) | 2215 (16.4) | <0.001 | 1277 (1.8) | 109 (3.4) | <0.001 |
Current/ever smoker (%) | ||||||
No | 12,041 (43.4) | 5474 (40.6) | 62,834 (89.8) | 2898 (89.1) | ||
Yes | 15,728 (56.6) | 8017 (59.4) | <0.001 | 7168 (10.2) | 356 (10.9) | 0.203 |
Current/ever chewing betel nut (%) | ||||||
No | 23,450 (84.5) | 10,998 (81.6) | 69,705 (99.7) | 3232 (99.5) | ||
Yes | 4286 (15.5) | 2475 (18.4) | <0.001 | 210 (0.3) | 17 (0.5) | 0.034 |
Physical activity (%) | ||||||
No | 15,815 (57.0) | 7936 (33.4) | 42,457 (60.7) | 1858 (57.1) | ||
Yes | 11,947 (43.0) | 5551 (41.2) | <0.001 | 27,523 (39.3) | 1396 (42.9) | <0.001 |
Body mass index (kg/m2) b | 24.77 ± 3.36 | 26.63 ± 3.62 | <0.001 | 23.42 ± 3.64 | 27.05 ± 4.57 | <0.001 |
Waist circumference (cm) | 86.52 ± 9.06 | 91.04 ± 9.34 | 0.019 | 80.29 ± 9.53 | 88.98 ± 10.92 | <0.001 |
Body fat percentage (%) | 22.02 ± 5.31 | 24.76 ± 5.10 | <0.001 | 31.65 ± 6.26 | 37.61 ± 6.52 | 0.084 |
Blood pressure (mmHg) | 125.30 ± 17.12 | 128.29 ± 17.58 | 0.066 | 116.55 ± 18.34 | 127.41 ± 19.47 | <0.001 |
Total cholesterol (mg/dL) | 189.43 ± 34.34 | 196.83 ± 36.10 | 0.001 | 197.13 ± 35.71 | 209.89 ± 40.97 | <0.001 |
Triglyceride (mg/dL) | 124.51 ± 103.20 | 166.57 ± 141.91 | <0.001 | 100.41 ± 70.69 | 161.95 ± 124.95 | <0.001 |
HDL cholesterol (mg/dL) | 49.13 ± 11.27 | 45.44 ± 10.33 | <0.001 | 58.55 ± 13.19 | 50.39 ± 11.69 | <0.001 |
LDL cholesterol (mg/dL) | 120.02 ± 30.93 | 125.19 ± 32.31 | <0.001 | 119.94 ± 31.59 | 132.01 ± 35.81 | <0.001 |
Fasting glucose (mg/dL) | 99.88 ± 25.67 | 98.26 ± 17.90 | <0.001 | 93.62 ± 18.39 | 100.65 ± 21.43 | <0.001 |
Gene/SNP | Male (n = 41,265) | Female (n = 73,272) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Without HUA | HUA | p-Value a | Risk of HUA | Without HUA | HUA | p-Value a | Risk of HUA | ||||
(n = 27,773) (%) | (n = 13,492) (%) | OR (95% CI) b | p-Value c | (n = 70,018) (%) | (n = 3254) (%) | OR (95% CI) b | p-Value c | ||||
ABCG2 rs2231142 | <0.001 | <0.001 | |||||||||
GG | 14,366 (51.7) | 5022 (37.2) | 1 | 33,288 (47.5) | 1102 (33.9) | 1 | |||||
TG | 11,202 (40.3) | 6545 (48.5) | 1.67 (1.59–1.74) | <0.001 | 29,948 (42.8) | 1626 (50.0) | 1.64 (1.51–1.77) | <0.001 | |||
TT | 2205 (7.9) | 1925 (14.3) | 2.49 (2.33–2.67) | <0.001 | 6782 (9.7) | 526 (16.2) | 2.34 (2.10–2.61) | <0.001 | |||
Allele (%) | <0.001 | <0.001 | |||||||||
G | 39,934 (71.9) | 16,589 (61.5) | 96,524 (68.9) | 3830 (58.9) | |||||||
T | 15,612 (28.1) | 10,395 (38.5) | 2.49 (2.33–2.67) | <0.001 | 43,512 (31.1) | 2678 (41.1) | 2.34 (2.11–2.61) | <0.001 |
Variables | Male (n = 41,265) | Female (n = 73,272) | ||
---|---|---|---|---|
OR (95% CI) b | p-Value a | OR (95% CI) | p-Value a | |
Intercept | 0.006 (0.003–0.015) | <0.001 | 0.016 (0.010–0.038) | <0.001 |
Age 45–55 | 0.851 (0.803–0.901) | <0.001 | 1.031 (0.902–1.178) | <0.001 |
Age 55–70 | 0.699 (0.665–0.736) | <0.001 | 2.508 (2.251–2.794) | <0.001 |
Current alcohol consumption | 1.530 (1.443–1.623) | 0.007 | 1.866 (1.530–2.276) | <0.001 |
BMI | 1.162 (1.155–1.117) | <0.001 | 1.207 (1.198–1.213) | <0.001 |
Body fat percentage | 1.105 (1.101–1.110) | <0.001 | 1.139 (1.133–1.145) | <0.001 |
Blood pressure | 1.010 (1.009–1.011) | <0.001 | 1.027 (1.025–1.028) | <0.001 |
Total cholesterol | 1.004 (1.002–1.006) | 0.001 | 1.006 (1.002–1.009) | 0.001 |
Triglyceride | 1.002 (1.002–1.003) | <0.001 | 1.002 (1.002–1.003) | <0.001 |
HDL cholesterol | 0.973 (0.970–0.976) | <0.001 | 0.951 (0.946–0.956) | <0.001 |
LDL cholesterol | 1.002 (1.000–1.005) | 0.067 | 1.005 (1.001–1.009) | 0.007 |
Fasting glucose | 0.993 (0.992–0.994) | <0.001 | 1.004 (1.003–1.005) | <0.001 |
rs2231142 | 1.707 (1.634–2.828) | <0.001 | 2.745 (2.219–2.880) | <0.001 |
Alcohol consumption ×rs2231142 | 2.183 (2.059–2.315) | <0.001 | 3.096 (2.403–3.988) | 0.001 |
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Chen, I.-C.; Chen, Y.-J.; Chen, Y.-M.; Lin, H.-J.; Lin, Y.-C.; Chagn, J.-C.; Chen, P.-C.; Lin, C.-H. Interaction of Alcohol Consumption and ABCG2 rs2231142 Variant Contributes to Hyperuricemia in a Taiwanese Population. J. Pers. Med. 2021, 11, 1158. https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111158
Chen I-C, Chen Y-J, Chen Y-M, Lin H-J, Lin Y-C, Chagn J-C, Chen P-C, Lin C-H. Interaction of Alcohol Consumption and ABCG2 rs2231142 Variant Contributes to Hyperuricemia in a Taiwanese Population. Journal of Personalized Medicine. 2021; 11(11):1158. https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111158
Chicago/Turabian StyleChen, I-Chieh, Yen-Ju Chen, Yi-Ming Chen, Hsueh-Ju Lin, Ying-Cheng Lin, Jui-Chun Chagn, Pei-Chun Chen, and Ching-Heng Lin. 2021. "Interaction of Alcohol Consumption and ABCG2 rs2231142 Variant Contributes to Hyperuricemia in a Taiwanese Population" Journal of Personalized Medicine 11, no. 11: 1158. https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111158