Now showing items 4-7 of 7

    • Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms 

      de, la Hoya Miguel; Soukarieh, Omar; López-Perolio, Irene; Vega, Ana; Walker, Logan C; van, Ierland Yvette; Baralle, Diana et al. (Oxford University Press, 2016-03-23)
      A recent analysis using family history weighting and co-observation classification modeling indicated that BRCA1 c.594-2A > C (IVS9-2A > C), previously described to cause exon 10 skipping (a truncating alteration), displays ...
    • Common breast cancer susceptibility alleles are associated with tumor subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2. 

      Mulligan, Anna Marie; Couch, Fergus J; Barrowdale, Daniel; Domchek, Susan M; Eccles, Diana; Nevanlinna, Heli; Ramus, Susan J et al. (2011-11-02)
      Abstract Introduction Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently ...
    • Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations. 

      Rebbeck, Timothy R; Friebel, Tara M; Friedman, Eitan; Hamann, Ute; Huo, Dezheng; Kwong, Ava; Olah, Edith et al. (Wiley-Blackwell, 2018-05)
      The prevalence and spectrum of germline mutations in BRCA1 and BRCA2 have been reported in single populations, with the majority of reports focused on Caucasians in Europe and North America. The Consortium of Investigators ...
    • Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression 

      Darabi, Hatef; McCue, Karen; Beesley, Jonathan; Michailidou, Kyriaki; Nord, Silje; Kar, Siddhartha; Humphreys, Keith et al. (Elsevier, 2015-06-11)
      Genome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine mapped the association ...