Literature DB >> 23817393

SNP array technology: an array of hope in breast cancer research.

C C Ho1, K S Mun, R Naidu.   

Abstract

Breast cancer is the most common malignancy in women worldwide. The incidence of breast cancer in Malaysia is lower compared to international statistics, with peak occurrence in the age group between 50 to 59 years of age and mortality rates of 18.6%. Despite current diagnostic and prognostic methods, the outcome for individual subjects remain poor. This is in part due to breast cancers' wide genetic heterogeneity. Various platforms for genetics studies are now employed to determine the identity of these genetic abnormalities, including microarray methods like high density single-nucleotide-polymorphism (SNP) oligonucleotide arrays which combine the power of chromosomal comparative genomic hybridization (cCGH) and loss of heterozygosity (LOH) in the offering of higher-resolution mappings. These platforms and their applications in highlighting the genomic alteration frameworks manifested in breast carcinoma will be discussed.

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Year:  2013        PMID: 23817393

Source DB:  PubMed          Journal:  Malays J Pathol        ISSN: 0126-8635            Impact factor:   0.656


  3 in total

1.  Assessing copy number alterations in targeted, amplicon-based next-generation sequencing data.

Authors:  Catherine Grasso; Timothy Butler; Katherine Rhodes; Michael Quist; Tanaya L Neff; Stephen Moore; Scott A Tomlins; Erica Reinig; Carol Beadling; Mark Andersen; Christopher L Corless
Journal:  J Mol Diagn       Date:  2014-11-07       Impact factor: 5.568

2.  Detection of gene copy number alterations in DCIS and invasive breast cancer by QM-FISH.

Authors:  Aifeng Pan; Yawei Zhou; Kun Mu; Yansong Liu; Feifei Sun; Peng Li; Li Li
Journal:  Am J Transl Res       Date:  2016-11-15       Impact factor: 4.060

3.  Detecting Susceptibility to Breast Cancer with SNP-SNP Interaction Using BPSOHS and Emotional Neural Networks.

Authors:  Xiao Wang; Qinke Peng; Yue Fan
Journal:  Biomed Res Int       Date:  2016-05-11       Impact factor: 3.411

  3 in total

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