Conference Proceedings

A meta-analysis of genome-wide association studies identifies novel loci that influence breast cancer prognosis

Latha Kadalayil, Sofia Khan, Heli Nevanlinna, Peter A Fasching, Fergus J Couch, John Hopper, Jianjun Liu, Tom Maishman, Lorraine Durcan, Carl Bloomqvist, Andy Collins, Dianna Eccles, William Tapper

CANCER RESEARCH | AMER ASSOC CANCER RESEARCH | Published : 2017

Abstract

Abstract Familial studies were among the first to indicate that breast cancer prognosis has a heritable component. Subsequently many variants associated with prognosis have been identified using a range of techniques including genome-wide association studies (GWAs). Despite these advances, much of the heritability remains unexplained. In young women, breast cancer is characterised by a higher incidence of adverse pathological features, unique tumour gene expression profiles and worse survival. In addition, the association of risk with conventional epidemiological exposures is less clear in women with early onset. We hypothesise that some of these difference between early and l..

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University of Melbourne Researchers