{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:45:13Z","timestamp":1740185113002,"version":"3.37.3"},"reference-count":14,"publisher":"Oxford University Press (OUP)","issue":"14","license":[{"start":{"date-parts":[[2020,11,3]],"date-time":"2020-11-03T00:00:00Z","timestamp":1604361600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Velux Foundation Research","award":["000121540"],"award-info":[{"award-number":["000121540"]}]},{"DOI":"10.13039\/100010661","name":"H2020","doi-asserted-by":"publisher","award":["777111"],"award-info":[{"award-number":["777111"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"BMBF","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sys_Care"},{"name":"SymBoD"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Epigenome-Wide Association Study (EWAS) has become a powerful approach to identify epigenetic variations associated with diseases or health traits. Sex is an important variable to include in EWAS to ensure unbiased data processing and statistical analysis. We introduce the R-package EWASex, which allows for fast and highly accurate sex-estimation using DNA methylation data on a small set of CpG sites located on the X-chromosome under stable X-chromosome inactivation in females.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We demonstrate that EWASex outperforms the current state of the art tools by using different EWAS datasets. With EWASex, we offer an efficient way to predict and to verify sex that can be easily implemented in any EWAS using blood samples or even other tissue types. It comes with pre-trained weights to work without prior sex labels and without requiring access to RAW data, which is a necessity for all currently available methods.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The EWASex R-package along with tutorials, documentation and source code are available at https:\/\/github.com\/Silver-Hawk\/EWASex.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa949","type":"journal-article","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T12:11:16Z","timestamp":1603973476000},"page":"2075-2076","source":"Crossref","is-referenced-by-count":1,"title":["EWASex: an efficient R-package to predict sex in epigenome-wide association studies"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9483-1603","authenticated-orcid":false,"given":"Jesper Beltoft","family":"Lund","sequence":"first","affiliation":[{"name":"Digital Health & Machine Learning Research Group, Hasso Plattner Institut for Digital Engineering , 14467 Potsdam, Germany"},{"name":"Epidemiology & Biostatistics, Department of Public Health, University of Southern Denmark , 5000 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9448-7953","authenticated-orcid":false,"given":"Weilong","family":"Li","sequence":"additional","affiliation":[{"name":"Epidemiology & Biostatistics, Department of Public Health, University of Southern Denmark , 5000 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Afsaneh","family":"Mohammadnejad","sequence":"additional","affiliation":[{"name":"Epidemiology & Biostatistics, Department of Public Health, University of Southern Denmark , 5000 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8095-3175","authenticated-orcid":false,"given":"Shuxia","family":"Li","sequence":"additional","affiliation":[{"name":"Epidemiology & Biostatistics, Department of Public Health, University of Southern Denmark , 5000 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Baumbach","sequence":"additional","affiliation":[{"name":"Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich , 80333 Munich, Germany"},{"name":"Computational BioMedicine Lab, Department of Mathematics and Computer Science , 5000 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qihua","family":"Tan","sequence":"additional","affiliation":[{"name":"Epidemiology & Biostatistics, Department of Public Health, University of Southern Denmark , 5000 Odense, Denmark"},{"name":"Computational BioMedicine Lab, Department of Mathematics and Computer Science , 5000 Odense, Denmark"},{"name":"Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark , 5000 Odense, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,11,3]]},"reference":[{"key":"2023061310290729100_btaa949-B1","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1093\/bioinformatics\/btu049","article-title":"Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays","volume":"30","author":"Aryee","year":"2014","journal-title":"Bioinformatics"},{"key":"2023061310290729100_btaa949-B2","doi-asserted-by":"crossref","first-page":"D991","DOI":"10.1093\/nar\/gks1193","article-title":"NCBI GEO: archive for functional genomics data sets\u2014update","volume":"41","author":"Barrett","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023061310290729100_btaa949-B3","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1177\/089826439901100103","article-title":"A Danish population-based twin study on general health in the elderly","volume":"11","author":"Christensen","year":"1999","journal-title":"J. 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