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10 September 2018 : Laboratory Research  

Polymorphism of ABCG2 Gene in Hyperuricemia Patients of Han And Uygur Ethnicity with Phlegm/Non-Phlegm Block in Xinjiang, China

Xianmin Wang1AEG, Jing Wang2G*, Changhai Zhao3B, Jiaoran Song4BD, Ge Tian2B, Yuhua Li5E

DOI: 10.12659/MSM.908552

Med Sci Monit 2018; 24: LBR6305-6312

Abstract

BACKGROUND: This study investigated the relationship between hyperuricemia (with phlegm/non-phlegm block) and ABCG2 gene polymorphism in Han and Uygur people from Xinjiang, China.

MATERIAL AND METHODS: We recruited 600 hyperuricemia patients with phlegm/non-phlegm block. Genomic DNA was extracted from the whole blood. Gene polymorphism was classified by SnaPshot method.

RESULTS: The SNP loci rs2725220 and rs2231137 of the ABCG2 gene, but not rs2231142, were significantly different between patients with non-phlegm block and phlegm block (P<0.05). The rs2231142 allele G was the protective factor in Uygur hyperuricemia patients. In both Han and hyperuricemia patients, the rs2725220 allele G was a protective factor and the rs2231137 allele C was a risk factor. For non-phlegm-block hyperuricemia, the rs2231142 and rs2231137 genotypes were significantly different between Uygur and Han patients (P<0.05). The rs2231142 allele G was 1.563 times higher in the Uygur patients compared with Han, and rs2231137 allele C was 1.673 times higher in the Uygur patients compared with the Han. For phlegm-block hyperuricemia, rs2231142 allele G was 1.397 times higher in the Uygur patients compared with the Han.

CONCLUSIONS: ABCG2 gene rs2231137 with more allele C tends to be phlegm-block type and rs2725220 with more allele G tends to be non-phlegm-block type. In the Uygur hyperuricemia patients, ABCG2 gene rs2231142 with more allele G tends to be non-phlegm-block type. Allele C of rs2231137 and allele G of rs2231142 in ABCG2 gene are more likely to be found in the Uygur people.

Keywords: Biochemistry, Genetics, hyperuricemia, Polymorphism, Genetic

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01 November 2024 : Editorial  

Editorial: Artificial Intelligence (AI), Digital Image Analysis, and the Future of Cancer Diagnosis and Prognosis

Dinah V. Parums

DOI: 10.12659/MSM.947038

Med Sci Monit 2024; 30:e947038

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750