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

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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
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Cancer+Epidemiology%2C+Biomarkers+%26+Prevention%22">Cancer Epidemiology, Biomarkers & Prevention</searchLink>. Dec2016, Vol. 25 Issue 12, p1619-1624.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=s3h&AN=120389765
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