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dc.contributor.supervisorHu, Pingzhao (Biochemistry and Medical Genetics)en_US
dc.contributor.authorChi, Chen
dc.date.accessioned2017-07-12T20:42:06Z
dc.date.available2017-07-12T20:42:06Z
dc.date.issued2016-10-09en_US
dc.identifier.citationChi, Chen et al. “A Novel Graph-Based Algorithm to Infer Recurrent Copy Number Variations in Cancer.” Cancer Informatics 15.Suppl 2 (2016): 43–50. PMC. Web. 26 June 2017.en_US
dc.identifier.urihttp://hdl.handle.net/1993/32316
dc.description.abstractBreast cancer (BC) diagnosis in young women (<45 years old) has come forth as an independent factor with higher recurrence risk and death than their older counterparts, and it has been suggested that it may exhibit its own unique biology. Copy number alterations (CNAs) have led many to consider them as an alternate paradigm for the genetic basis of human diseases, as these large alterations may encompass key genes that contribute to carcinogenesis and disease progression. Although many complex diseases have been linked to CNAs in the genomic DNA, prior studies have yet to document age-related changes in somatic CNAs for young women with BC. We hypothesize recurrent somatic CNA regions uniquely found in young women with BC harbor cancer susceptibility genes that modulate the survival of young women with BC. We aim to find recurrent somatic CNA regions identified from BC microarray data and associate the CNA status of the genes harbored in the regions to the survival of young women with BC.en_US
dc.language.isoengen_US
dc.publisherCancer Informaticsen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBreast canceren_US
dc.subjectCNAen_US
dc.subjectYoung ageen_US
dc.subjectBioinformaticsen_US
dc.titleRecurrent copy number alteration analysis identifies risk genes in young women with breast canceren_US
dc.typeinfo:eu-repo/semantics/masterThesis
dc.typemaster thesisen_US
dc.degree.disciplineBiochemistry and Medical Geneticsen_US
dc.contributor.examiningcommitteeMurphy, Leigh (Biochemistry and Medical Genetics) Coombs, Kevin (Medical Microbiology and Infectious Diseases)en_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.noteOctober 2017en_US


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