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Title: Characterization of novel and uncharacterized p53 SNPs in the chinese population - Intron 2 SNP co-segregates with the common codon 72 polymorphism
Authors: Phang, B.H.
Chua, H.W.
Li, H.
Linn, Y.C.
Sabapathy, K. 
Issue Date: 2011
Citation: Phang, B.H., Chua, H.W., Li, H., Linn, Y.C., Sabapathy, K. (2011). Characterization of novel and uncharacterized p53 SNPs in the chinese population - Intron 2 SNP co-segregates with the common codon 72 polymorphism. PLoS ONE 6 (1) : -. ScholarBank@NUS Repository.
Abstract: Multiple single nucleotide polymorphisms (SNPs) have been identified in the tumor suppressor gene p53, though the relevance of many of them is unclear. Some of them are also differentially distributed in various ethnic populations, suggesting selective functionality. We have therefore sequenced all exons and flanking regions of p53 from he Singaporean Chinese population and report here the characterization of some novel and uncharacterized SNPs - four in intron 1 (nucleotide positions 8759/10361/10506/11130), three in intron 3 (11968/11969/11974) and two in the 39UTR (19168/ 19514). Allelic frequencies were determined for all these and some known SNPs, and were compared in a limited scale to leukemia and lung cancer patient samples. Intron 2 (11827) and 7 (14181/14201) SNPs were found to have a high minor allele frequency of between 26-47%, in contrast to the lower frequencies found in the US population, but similar in trend to the codon 72 polymorphism (SNP12139) that shows a distribution pattern correlative with latitude. Several of the SNPs were linked, such as those in introns 1, 3 and 7. Most interestingly, we noticed the co-segregation of the intron 2 and the codon 72 SNPs, the latter which has been shown to be expressed in an allele-specific manner, suggesting possible regulatory crosstalk. Association analysis indicated that the T/G alleles in both the co-segregating intron 7 SNPs and a 4tagSNP haplotype was strongly associated increased susceptibility to lung cancer in non-smoker females [OR: 1.97 (1.32, 3.394)]. These data together demonstrate high SNP diversity in p53 gene between different populations, highlighting ethnicity-based differences, and their association with cancer risk. © 2011 Phang et al.
Source Title: PLoS ONE
ISSN: 19326203
DOI: 10.1371/journal.pone.0015320
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