A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics
Abstract
Cancers are routinely classified into subtypes according to various features, including histopathological characteristics and molecular markers. Previous genome-wide association studies have reported heterogeneous associations between loci and cancer subtypes. However, it is not evident what is the optimal modeling strategy for handling correlated tumor features, missing data, and increased degrees-of-freedom in the underlying tests of...
Paper Details
Title
A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics
Published Date
Feb 29, 2020
Journal
Volume
22
Issue
4
Pages
772 - 788
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