{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T23:27:52Z","timestamp":1709076472486},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,5,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be included into the analysis by applying an appropriate statistical method. However, the problem of LOD in GWAS analysis of such biomarkers is usually overlooked. \u2018lodGWAS\u2019 is a flexible, easy-to-use R package that provides a simple and elegant way for GWAS analysis of such biomarkers while simultaneously accommodating the problem of LOD by applying a parametric survival analysis method.<\/jats:p>\n               <jats:p>Availability and implementation: \u00a0http:\/\/cran.r-project.org\/web\/packages\/lodGWAS<\/jats:p>\n               <jats:p>Contacts: \u00a0a.vaez@umcg.nl or i.m.nolte@umcg.nl<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw021","type":"journal-article","created":{"date-parts":[[2016,2,15]],"date-time":"2016-02-15T01:09:07Z","timestamp":1455498547000},"page":"1552-1554","source":"Crossref","is-referenced-by-count":5,"title":["lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection"],"prefix":"10.1093","volume":"32","author":[{"given":"Ahmad","family":"Vaez","sequence":"first","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"},{"name":"2 School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran and"}]},{"given":"Peter J.","family":"van der Most","sequence":"additional","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"}]},{"given":"Bram P.","family":"Prins","sequence":"additional","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"}]},{"given":"Harold","family":"Snieder","sequence":"additional","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"}]},{"given":"Edwin","family":"van den Heuvel","sequence":"additional","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"},{"name":"3 Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands"}]},{"given":"Behrooz Z.","family":"Alizadeh","sequence":"additional","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"}]},{"given":"Ilja M.","family":"Nolte","sequence":"additional","affiliation":[{"name":"1 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands,"}]}],"member":"286","published-online":{"date-parts":[[2016,1,22]]},"reference":[{"key":"2023020112262568600_btw021-B1","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1093\/aje\/kwu017","article-title":"Accommodating measurements below a limit of detection: a novel application of Cox regression","volume":"179","author":"Dinse","year":"2014","journal-title":"Am. 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