Evaluation of Cancer Risk in Epidemiologic Studies with Genetic and Molecular Data

Aya Kuchiba ()
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Aya Kuchiba: Center for Research Administration and Support, National Cancer Center, Biostatistics Division

A chapter in Frontiers of Biostatistical Methods and Applications in Clinical Oncology, 2017, pp 297-313 from Springer

Abstract: Abstract Epidemiology has made significant contribution to better understanding cancer etiology and improving public health. Recently, with increasingly available genetic and molecular data, methodology in cancer epidemiology has been greatly progressing through incorporation of those data. This chapter focuses on some topics in GenomeGenome -Wide Association Studies and also provides some discussion of investigating etiologic heterogeneityHeterogeneity among molecular subtypes of cancer.

Keywords: Genome-wide association studies; Multiple testing; Meta-analysis; Prediction; Cancer heterogeneity (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-0126-0_18

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DOI: 10.1007/978-981-10-0126-0_18

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