{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T14:04:54Z","timestamp":1722693894558},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"15","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: \u2003Multivariate tests derived from the logistic regression model are widely used to assess the joint effect of multiple predictors on a disease outcome in case\u2013control studies. These tests become less optimal if the joint effect cannot be approximated adequately by the additive model. The tree-structure model is an attractive alternative, as it is more apt to capture non-additive effects. However, the tree model is used most commonly for prediction and seldom for hypothesis testing, mainly because of the computational burden associated with the resampling-based procedure required for estimating the significance level.<\/jats:p>\n               <jats:p>Results: \u2003We designed a fast algorithm for building the tree-structure model and proposed a robust TREe-based Association Test (TREAT) that incorporates an adaptive model selection procedure to identify the optimal tree model representing the joint effect. We applied TREAT as a multilocus association test on &amp;gt;20 000 genes\/regions in a study of esophageal squamous cell carcinoma (ESCC) and detected a highly significant novel association between the gene CDKN2B and ESCC ( ). We also demonstrated, through simulation studies, the power advantage of TREAT over other commonly used tests.<\/jats:p>\n               <jats:p>Availability and implementation: \u2003The package TREAT is freely available for download at http:\/\/www.hanzhang.name\/softwares\/treat , implemented in C++ and R and supported on 64-bit Linux and 64-bit MS Windows.<\/jats:p>\n               <jats:p>Contact: \u2002 yuka@mail.nih.gov<\/jats:p>\n               <jats:p>Supplementary information: \u2003 Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu186","type":"journal-article","created":{"date-parts":[[2014,4,11]],"date-time":"2014-04-11T03:25:01Z","timestamp":1397186701000},"page":"2171-2178","source":"Crossref","is-referenced-by-count":4,"title":["A fast and powerful tree-based association test for detecting complex joint effects in case\u2013control studies"],"prefix":"10.1093","volume":"30","author":[{"given":"Han","family":"Zhang","sequence":"first","affiliation":[{"name":"1 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA, 2 Information Management Services, Inc., Silver Spring, Maryland 20904, USA, and 3 Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William","family":"Wheeler","sequence":"additional","affiliation":[{"name":"1 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA, 2 Information Management Services, Inc., Silver Spring, Maryland 20904, USA, and 3 Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoming","family":"Wang","sequence":"additional","affiliation":[{"name":"1 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA, 2 Information Management Services, Inc., Silver Spring, Maryland 20904, USA, and 3 Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA"},{"name":"1 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA, 2 Information Management Services, Inc., Silver Spring, Maryland 20904, USA, and 3 Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip R.","family":"Taylor","sequence":"additional","affiliation":[{"name":"1 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA, 2 Information Management Services, Inc., Silver Spring, Maryland 20904, USA, and 3 Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Yu","sequence":"additional","affiliation":[{"name":"1 Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA, 2 Information Management Services, Inc., Silver Spring, Maryland 20904, USA, and 3 Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2014,5,2]]},"reference":[{"key":"2023012711331554800_btu186-B1","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1038\/ng.649","article-title":"A shared susceptibility locus in \n              PLCE1\n               at 10q23 for gastric adenocarcinoma and esophageal squamous cell carcinoma","volume":"42","author":"Abnet","year":"2010","journal-title":"Nat. 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