{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T19:46:23Z","timestamp":1770234383569,"version":"3.49.0"},"reference-count":4,"publisher":"Oxford University Press (OUP)","issue":"24","license":[{"start":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T00:00:00Z","timestamp":1561593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Spanish Ministry of Economy and Competitiveness","award":["MTM2015-68140-R"],"award-info":[{"award-number":["MTM2015-68140-R"]}]},{"name":"European Community\u2019s Seventh Framework Programme","award":["FP7\/2007-2013"],"award-info":[{"award-number":["FP7\/2007-2013"]}]},{"name":"European Community\u2019s Seventh Framework Programme","award":["308333"],"award-info":[{"award-number":["308333"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12,15]]},"abstract":"Abstract<\/jats:title>\n \n Summary<\/jats:title>\n Genomics has dramatically improved our understanding of the molecular origins of certain human diseases. Nonetheless, our health is also influenced by the cumulative impact of exposures experienced across the life course (termed \u2018exposome\u2019). The study of the high-dimensional exposome offers a new paradigm for investigating environmental contributions to disease etiology. However, there is a lack of bioinformatics tools for managing, visualizing and analyzing the exposome. The analysis data should include both association with health outcomes and integration with omic layers. We provide a generic framework called rexposome project, developed in the R\/Bioconductor architecture that includes object-oriented classes and methods to leverage high-dimensional exposome data in disease association studies including its integration with a variety of high-throughput data types. The usefulness of the package is illustrated by analyzing a real dataset including exposome data, three health outcomes related to respiratory diseases and its integration with the transcriptome and methylome.<\/jats:p>\n <\/jats:sec>\n \n Availability and implementation<\/jats:title>\n rexposome project is available at https:\/\/isglobal-brge.github.io\/rexposome\/.<\/jats:p>\n <\/jats:sec>\n \n Supplementary information<\/jats:title>\n Supplementary data are available at Bioinformatics online.<\/jats:p>\n <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz526","type":"journal-article","created":{"date-parts":[[2019,6,25]],"date-time":"2019-06-25T18:40:38Z","timestamp":1561488038000},"page":"5344-5345","source":"Crossref","is-referenced-by-count":34,"title":["Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages"],"prefix":"10.1093","volume":"35","author":[{"given":"Carles","family":"Hernandez-Ferrer","sequence":"first","affiliation":[{"name":"ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona, Spain"},{"name":"Universitat Pompeu Fabra (UPF) , Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) , Madrid, Spain"}]},{"given":"Gregory A","family":"Wellenius","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Brown University School of Public Health , Providence, RI, USA"}]},{"given":"Ibon","family":"Tamayo","sequence":"additional","affiliation":[{"name":"ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona, Spain"},{"name":"Universitat Pompeu Fabra (UPF) , Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) , Madrid, Spain"}]},{"given":"Xavier","family":"Basaga\u00f1a","sequence":"additional","affiliation":[{"name":"ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona, Spain"},{"name":"Universitat Pompeu Fabra (UPF) , Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) , Madrid, Spain"}]},{"given":"Jordi","family":"Sunyer","sequence":"additional","affiliation":[{"name":"ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona, Spain"},{"name":"Universitat Pompeu Fabra (UPF) , Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) , Madrid, Spain"},{"name":"IMIM (Hospital del Mar Medical Research Institute) , Barcelona, Spain"}]},{"given":"Martine","family":"Vrijheid","sequence":"additional","affiliation":[{"name":"ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona, Spain"},{"name":"Universitat Pompeu Fabra (UPF) , Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) , Madrid, Spain"}]},{"given":"Juan R","family":"Gonzalez","sequence":"additional","affiliation":[{"name":"ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona, Spain"},{"name":"Universitat Pompeu Fabra (UPF) , Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) , Madrid, Spain"}]}],"member":"286","published-online":{"date-parts":[[2019,6,27]]},"reference":[{"key":"2023013108412778900_btz526-B1","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1007\/s00439-011-1118-2","article-title":"Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets","volume":"131","author":"Li","year":"2012","journal-title":"Hum. 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