Literature DB >> 18161363

[Association between p53 gene codon 72 polymorphism and keloid in Chinese population].

Li Yan1, Xiao-yan Lü, Chun-mei Wang, Rui Cao, Yan-hua Yin, Chun-shi Jia, Qiang Zhuang.   

Abstract

OBJECTIVE: To investigate the relationship between p53 gene codon 72 polymorphism and genetic predisposition to keloid in Chinese population.
METHODS: PCR-based restriction fragment length polymorphism (PCR-RFLP) analysis was used to detect p53 gene codon 72 genotypes of 60 keloid samples and 102 whole blood samples from healthy controls in China.
RESULTS: There was no significant difference in the distribution of p53 gene codon 72 polymorphism between the keloid patients and the healthy controls (X2 = 2.910, P = 0.233), nor did the frequencies for Pro and Arg alleles (X2 = 0.882, P = 0.348), and there was no significant difference in the distribution of p53 gene codon 72 polymorphism in keloid patients and normal controls from China and Japan respectively (X2 = 3.942, P = 0.139; X2 = 3.260, P = 0.196). But the Arg/Arg genotype was significantly higher than the Pro/Pro genotype among the patients with keloid in shoulder and back (P < 0.01).
CONCLUSIONS: There was no significant association between the distribution of p53 gene codon 72 polymorphism and keloid in Chinese population, but Arg/Arg genotype may affect the formation of keloids in shoulder and back compared to others. Further research should be done to investigate the relationship between p53 gene codon 72 polymorphism and keloids in different sites.

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Year:  2007        PMID: 18161363

Source DB:  PubMed          Journal:  Zhonghua Zheng Xing Wai Ke Za Zhi        ISSN: 1009-4598


  5 in total

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Authors:  Jianhua Gao; Ying Chen; Nong Liao; Wei Zhao; Weisen Zeng; Yingtao Li; Shaojing Wang; Feng Lu
Journal:  Exp Ther Med       Date:  2014-03-05       Impact factor: 2.447

5.  Two Functional TP53 Genetic Variants and Predisposition to Keloid Scarring in Caucasians.

Authors:  Andrzej Dmytrzak; Agnieszka Boroń; Beata Łoniewska; Klaudyna Lewandowska; Iwona Gorący; Mariusz Kaczmarczyk; Andrzej Ciechanowicz
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  5 in total

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