Literature DB >> 21191178

Rare BRCA1 haplotypes including 3'UTR SNPs associated with breast cancer risk.

Cory Pelletier1, William C Speed, Trupti Paranjape, Katie Keane, Rachel Blitzblau, Antoinette Hollestelle, Kyan Safavi, Ans van den Ouweland, Daniel Zelterman, Frank J Slack, Kenneth K Kidd, Joanne B Weidhaas.   

Abstract

Genetic markers identifying women at an increased risk of developing breast cancer exist, yet the majority of inherited risk remains elusive. While numerous BRCA1 coding sequence mutations are associated with breast cancer risk, BRCA1 mutations account for less then 5% of breast cancer risk. Since 3' untranslated region (3'UTR) polymorphisms disrupting microRNA (miRNA) binding can be functional and can act as genetic markers of cancer risk, we tested the hypothesis that such polymorphisms in the 3'UTR of BRCA1 and haplotypes containing these functional polymorphisms may be associated with breast cancer risk. We sequenced the BRCA1 3'UTR from breast cancer patients to identify miRNA disrupting polymorphisms. We further evaluated haplotypes of this region including the identified 3'UTR variants in a large population of controls and breast cancer patients (n = 221) with known breast cancer subtypes and ethnicities. We identified three 3'UTR variants in BRCA1 that are polymorphic in breast cancer populations, and haplotype analysis including these variants revealed that breast cancer patients harbor five rare haplotypes not generally found among controls (9.50% for breast cancer chromosomes, 0.11% for control chromosomes, p = 0.0001). Three of these rare haplotypes contain the rs8176318 BRCA1 3'UTR functional variant. These haplotypes are not biomarkers for BRCA1 coding mutations, as they are found rarely in BRCA1 mutant breast cancer patients (1/129 patients = 0.78%). These rare BRCA1 haplotypes and 3'UTR SNPs may represent new genetic markers of breast cancer risk.

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Year:  2011        PMID: 21191178      PMCID: PMC3048078          DOI: 10.4161/cc.10.1.14359

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  35 in total

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2.  A new statistical method for haplotype reconstruction from population data.

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3.  Haplotypes vs single marker linkage disequilibrium tests: what do we gain?

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4.  Haplotype and linkage disequilibrium architecture for human cancer-associated genes.

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9.  Breast cancer risk and the DNA double-strand break end-joining capacity of nonhomologous end-joining genes are affected by BRCA1.

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  21 in total

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Review 6.  SNPs in microRNA binding sites as prognostic and predictive cancer biomarkers.

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10.  Identification and frequency of the rs12516 and rs8176318 BRCA1 gene polymorphisms among different populations.

Authors:  Fang Yang; Fengxia Chen; Jin Xu; Xiaoxiang Guan
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