{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:35:06Z","timestamp":1768412106339,"version":"3.49.0"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2017,1,24]],"date-time":"2017-01-24T00:00:00Z","timestamp":1485216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"name":"Medical Center Groningen, the Netherlands"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>The increasing popularity of epigenome-wide association studies (EWAS) has led to the establishment of several large international meta-analysis consortia. However, when using data originating from multiple sources, a thorough and centralized quality control is essential. To facilitate this, we developed the QCEWAS R package. QCEWAS enables automated quality control of results files of EWAS. QCEWAS produces cohort-specific statistics and graphs to interpret the quality of the results files, graphs comparing results of multiple cohorts, as well as cleaned input files ready for meta-analysis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and Implementation<\/jats:title>\n                  <jats:p>https:\/\/cran.r-project.org\/web\/packages\/QCEWAS<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btw766","type":"journal-article","created":{"date-parts":[[2016,12,5]],"date-time":"2016-12-05T10:48:49Z","timestamp":1480934929000},"page":"1243-1245","source":"Crossref","is-referenced-by-count":38,"title":["QCEWAS: automated quality control of results of epigenome-wide association studies"],"prefix":"10.1093","volume":"33","author":[{"given":"Peter J","family":"Van der Most","sequence":"first","affiliation":[{"name":"Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands"}]},{"given":"Leanne K","family":"K\u00fcpers","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands"}]},{"given":"Harold","family":"Snieder","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands"}]},{"given":"Ilja","family":"Nolte","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands"}]}],"member":"286","published-online":{"date-parts":[[2017,1,24]]},"reference":[{"key":"2023020205022749200_btw766-B1","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1038\/nmeth.3115","article-title":"Comprehensive analysis of DNA methylation data with RnBeads","volume":"11","author":"Assenov","year":"2014","journal-title":"Nat. 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