PURPOSE: The PALB2 gene has an essential role in BRCA2-mediated DNA double-strand break repair and intra-S phase DNA damage checkpoint control, and its mutations are moderately associated with breast cancer susceptibility. This study was designed to investigate the common variants of PALB2 and their association with breast cancer risk. EXPERIMENTAL DESIGN: Four single nucleotide polymorphisms (SNP; rs249954, rs249935, rs120963, and rs16940342) which tagged all 19 of the reported SNPs (minor allele frequency >0.05) covering PALB2 were selected and genotyped in 1,049 patients with breast cancer and 1,073 cancer-free controls in a female Chinese population. RESULTS: Based on the multiple hypothesis testing with the Benjamini-Hochberg method, tagging SNPs (tSNP) rs249954, rs120963, and rs16940342 were found to be associated with an increase of breast cancer risk (false discovery rate-adjusted P values of 0.004, 0.028, and 0.049, respectively) under the dominant model. tSNP rs249954 was associated with a 36% increase of breast cancer risk [adjusted odds ratio (OR), 1.36; 95% confidence intervals (CI), 1.13-1.64; P = 0.001; TT/TC versus CC genotypes]. The adjusted OR for rs120963 was 1.25 (95% CI, 1.04-1.49; P = 0.014; CC/CT versus TT genotypes). For rs16940342, the adjusted OR was 1.21 (95% CI, 1.02-1.45; P = 0.037; GG/GA versus AA genotypes). Based on an additive model, tSNPs rs249954 and rs120963 were associated with an increase of breast cancer risk (P = 0.005 and 0.019; respectively), with the false discovery rate-adjusted P values being 0.020 and 0.038, respectively. CONCLUSIONS: Our data suggest that the variants of PALB2 confer low-penetrance breast cancer susceptibility in a Chinese population.
PURPOSE: The PALB2 gene has an essential role in BRCA2-mediated DNA double-strand break repair and intra-S phase DNA damage checkpoint control, and its mutations are moderately associated with breast cancer susceptibility. This study was designed to investigate the common variants of PALB2 and their association with breast cancer risk. EXPERIMENTAL DESIGN: Four single nucleotide polymorphisms (SNP; rs249954, rs249935, rs120963, and rs16940342) which tagged all 19 of the reported SNPs (minor allele frequency >0.05) covering PALB2 were selected and genotyped in 1,049 patients with breast cancer and 1,073 cancer-free controls in a female Chinese population. RESULTS: Based on the multiple hypothesis testing with the Benjamini-Hochberg method, tagging SNPs (tSNP) rs249954, rs120963, and rs16940342 were found to be associated with an increase of breast cancer risk (false discovery rate-adjusted P values of 0.004, 0.028, and 0.049, respectively) under the dominant model. tSNP rs249954 was associated with a 36% increase of breast cancer risk [adjusted odds ratio (OR), 1.36; 95% confidence intervals (CI), 1.13-1.64; P = 0.001; TT/TC versus CC genotypes]. The adjusted OR for rs120963 was 1.25 (95% CI, 1.04-1.49; P = 0.014; CC/CT versus TT genotypes). For rs16940342, the adjusted OR was 1.21 (95% CI, 1.02-1.45; P = 0.037; GG/GA versus AA genotypes). Based on an additive model, tSNPs rs249954 and rs120963 were associated with an increase of breast cancer risk (P = 0.005 and 0.019; respectively), with the false discovery rate-adjusted P values being 0.020 and 0.038, respectively. CONCLUSIONS: Our data suggest that the variants of PALB2 confer low-penetrance breast cancer susceptibility in a Chinese population.
Authors: Tasha R Smith; Wen Liu-Mares; Beth O Van Emburgh; Edward A Levine; Glenn O Allen; Jeff W Hill; Isildinha M Reis; Laura A Kresty; Mark D Pegram; Mark S Miller; Jennifer J Hu Journal: Carcinogenesis Date: 2011-06-23 Impact factor: 4.944
Authors: Kirsi M Kuusisto; Aleksandra Bebel; Mauno Vihinen; Johanna Schleutker; Satu-Leena Sallinen Journal: Breast Cancer Res Date: 2011-02-28 Impact factor: 6.466
Authors: Yessica Leyton; Patricio Gonzalez-Hormazabal; Rafael Blanco; Teresa Bravo; Ricardo Fernandez-Ramires; Sebastian Morales; Natalia Landeros; Jose M Reyes; Octavio Peralta; Julio C Tapia; Fernando Gomez; Enrique Waugh; Gladys Ibañez; Janara Pakomio; Gilberto Grau; Lilian Jara Journal: BMC Cancer Date: 2015-01-31 Impact factor: 4.430