کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2058479 1543963 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Genetic polymorphisms in miRNAs targeting the estrogen receptor and their effect on breast cancer risk
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوشیمی، ژنتیک و زیست شناسی مولکولی (عمومی)
پیش نمایش صفحه اول مقاله
Genetic polymorphisms in miRNAs targeting the estrogen receptor and their effect on breast cancer risk
چکیده انگلیسی

Breast cancer is the cancer that most commonly affects women worldwide. This type of cancer is genetically complex, but is strongly linked to steroid hormone signaling systems. Because microRNAs act as translational regulators of multiple genes, including the steroid nuclear receptors, single nucleotide polymorphisms (SNPs) in microRNA genes can have potentially wide-ranging influences on breast cancer development. Thus, this study was conducted to investigate the relationships between six SNPs (rs6977848, rs199981120, rs185641358, rs113054794, rs66461782, and rs12940701) located in four miRNA genes predicted to target the estrogen receptor (miR-148a, miR-221, miR-186, and miR-152) and breast cancer risk in Caucasian Australian women. By using high resolution melt analysis (HRM) and polymerase chain reaction- restriction fragment length polymorphism (PCR–RFLP), 487 samples including 225 controls and 262 cases were genotyped. Analysis of their genotype and allele frequencies indicated that the differences between case and control populations were not significant for rs6977848, rs66461782, and rs12940701 because their p-values are 0.81, 0.93, and 0.1, respectively, which are all above the threshold value (p = 0.05). Our data thus suggests that these SNPs do not affect breast cancer risk in the tested population. In addition, rs199981120, rs185641358, and rs113054794 could not be found in this population, suggesting that these SNPs do not occur in Caucasian Australians.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meta Gene - Volume 2, December 2014, Pages 226–236
نویسندگان
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