Literature DB >> 9037561

p53 haplotype determination in breast cancer.

A Weston1, C F Pan, H B Ksieski, S Wallenstein, G S Berkowitz, P I Tartter, I J Bleiweiss, S T Brower, R T Senie, M S Wolff.   

Abstract

Inheritance of certain germ line haplotypes consisting of three biallelic polymorphisms of p53 has been proposed as a risk factor for breast cancer and colorectal cancer [A. Själander et al., Carcinogenesis (Lond.), 17: 1313-1316, 1996, and Carcinogenesis (Lond.), 16: 1461-1464, 1995]. In their studies, pairwise haplotypes of these three polymorphisms were estimated. Extended haplotypes were further projected from the pairwise combinations. To overcome the necessity to estimate pairwise and extended haplotype frequencies, a PCR method has been developed to determine the absolute extended p53 haplotypes in diploid genomes. The method requires allele-specific PCR, confirmed by restriction analysis, and successive amplicon analysis. It has been applied to a nested case-control study of breast cancer (284 subjects; 99 cases and 185 controls; 182 Caucasians, 56 Hispanics, and 46 African-Americans). Evidence is presented that minor variants of the intron 3, codon 72, and intron 6 polymorphisms were moderately elevated in Caucasian breast cancer cases (intron 3, P = 0.03 for genotype and P = 0.01 for allelic frequency; codon 72, P = 0.07 for genotype and P = 0.054 for allelic frequency; and intron 6, P = 0.02 for genotype and P = 0.02 for allele frequency). Accordingly, analysis of haplotype distributions suggested an association of minor p53 haplotypes with breast cancer risk in Caucasians (P = 0.07). The relative allelic frequencies in breast cancer cases compared with controls also differed by age and menopausal status; the 1-2-1 haplotype was overrepresented in postmenopausal cases (P = 0.02) and cases older than 50 years (P = 0.02), whereas the other minor haplotypes (1-1-2 and rare variants) were overrepresented in premenopausal cases (P = 0.003) and cases 50 years of age and younger (P = 0.02). Genotype distributions at each locus and for all control groups were consistent with Hardy-Weinberg equilibria. Differences in haplotype distribution were associated with ethnicity (Caucasians versus African-Americans and Caucasians versus Hispanics, P < 0.001). The new haplotyping method may be useful in the study of gene-environment interactions.

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Year:  1997        PMID: 9037561

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  24 in total

1.  DNA sequence variants of p53: cancer and aging.

Authors:  Y Sun; C Keshava; D S Sharp; A Weston; E C McCanlies
Journal:  Am J Hum Genet       Date:  1999-12       Impact factor: 11.025

2.  P53 codon 72 polymorphism and longevity: additional data on centenarians from continental Italy and Sardinia.

Authors:  M Bonafè; F Olivieri; D Mari; G Baggio; R Mattace; M Berardelli; P Sansoni; G De Benedictis; M De Luca; F Marchegiani; L Cavallone; M Cardelli; S Giovagnetti; L Ferrucci; L Amadio; R Lisa; M G Tucci; L Troiano; G Pini; P Gueresi; M Morellini; S Sorbi; G Passeri; C Barbi; S Valensin; D Monti; L Deiana; G M Pes; C Carru; C Franceschi
Journal:  Am J Hum Genet       Date:  1999-12       Impact factor: 11.025

Review 3.  Genes other than BRCA1 and BRCA2 involved in breast cancer susceptibility.

Authors:  M M de Jong; I M Nolte; G J te Meerman; W T A van der Graaf; J C Oosterwijk; J H Kleibeuker; M Schaapveld; E G E de Vries
Journal:  J Med Genet       Date:  2002-04       Impact factor: 6.318

4.  Individual and combined effects of MDM2 SNP309 and TP53 Arg72Pro on breast cancer risk: an updated meta-analysis.

Authors:  Hongtao Cheng; Biao Ma; Ran Jiang; Wei Wang; Hui Guo; Na Shen; Dapeng Li; Qunzi Zhao; Rui Wang; Pengfei Yi; Yue Zhao; Zeming Liu; Tao Huang
Journal:  Mol Biol Rep       Date:  2012-06-24       Impact factor: 2.316

5.  Oligogenic combinations associated with breast cancer risk in women under 53 years of age.

Authors:  Christopher E Aston; David A Ralph; Dominique P Lalo; Sharmila Manjeshwar; Bobby A Gramling; Daniele C DeFreese; Amy D West; Dannielle E Branam; Linda F Thompson; Melissa A Craft; Debra S Mitchell; Craig D Shimasaki; John J Mulvihill; Eldon R Jupe
Journal:  Hum Genet       Date:  2004-12-21       Impact factor: 4.132

6.  Epistatic interaction of Arg72Pro TP53 and -710 C/T VEGFR1 polymorphisms in breast cancer: predisposition and survival.

Authors:  Patricia Rodrigues; Jessica Furriol; Eduardo Tormo; Sandra Ballester; Ana Lluch; Pilar Eroles
Journal:  Mol Cell Biochem       Date:  2013-04-06       Impact factor: 3.396

7.  p53 Pro72Arg polymorphism and prostate cancer in men of African descent.

Authors:  L Ricks-Santi; T Mason; V Apprey; C Ahaghotu; A McLauchlin; D Josey; G Bonney; G M Dunston
Journal:  Prostate       Date:  2010-12-01       Impact factor: 4.104

8.  Serum p53 gene polymorphisms and severity of hepatitis B or C-related chronic liver diseases in Taiwan.

Authors:  Yone-Han Mah; Ching-Sheng Hsu; Chen-Hua Liu; Chun-Jen Liu; Ming-Yang Lai; Pei-Jer Chen; Ding-Shinn Chen; Jia-Horng Kao
Journal:  Hepatol Int       Date:  2011-02-06       Impact factor: 6.047

9.  Analysis of p53 gene polymorphisms and protein over-expression in patients with breast cancer.

Authors:  Mustafa Akkiprik; Ozgur Sonmez; Bahadir M Gulluoglu; Hale B Caglar; Handan Kaya; Pakize Demirkalem; Ufuk Abacioglu; Meric Sengoz; Aydin Sav; Ayse Ozer
Journal:  Pathol Oncol Res       Date:  2009-09       Impact factor: 3.201

10.  Construction of a high resolution linkage disequilibrium map to evaluate common genetic variation in TP53 and neural tube defect risk in an Irish population.

Authors:  Faith Pangilinan; Kerry Geiler; Jessica Dolle; James Troendle; Deborah A Swanson; Anne M Molloy; Marie Sutton; Mary Conley; Peadar N Kirke; John M Scott; James L Mills; Lawrence C Brody
Journal:  Am J Med Genet A       Date:  2008-10-15       Impact factor: 2.802

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