Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk.

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Bibliographic Details
Title: Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk.
Authors: MacInnis, Robert J.1,2, Schmidt, Daniel F.2, Makalic, Enes2, Severi, Gianluca3,4,5, FitzGerald, Liesel M.6, Reumann, Matthias7,8, Kapuscinski, Miroslaw K.2, Kowalczyk, Adam9,10, Zeyu Zhou11, Goudey, Benjamin11, Guoqi Qian10, Bui, Quang M.2, Park, Daniel J.12,13, Freeman, Adam2, Southey, Melissa C.12, Al Olama, Ali Amin14, Kote-Jarai, Zsofia15, Eeles, Rosalind A.15,16, Hopper, John L.2,17 j.hopper@unimelb.edu.au, Giles, Graham G.1,2
Source: Cancer Epidemiology, Biomarkers & Prevention. Dec2016, Vol. 25 Issue 12, p1619-1624.
Database: SPORTDiscus with Full Text
Description
ISSN:10559965
DOI:10.1158/1055-9965.EPI-16-0301