{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T23:24:23Z","timestamp":1774049063202,"version":"3.50.1"},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2019,8,2]],"date-time":"2019-08-02T00:00:00Z","timestamp":1564704000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"FCT\u2014Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"name":"CRESC ALGARVE 2020","award":["UID\/BIM\/04773\/2013"],"award-info":[{"award-number":["UID\/BIM\/04773\/2013"]}]},{"name":"CRESC ALGARVE 2020","award":["POCI-01-0145-FEDER-022184"],"award-info":[{"award-number":["POCI-01-0145-FEDER-022184"]}]},{"name":"CRESC ALGARVE 2020","award":["ALG-01-0145-FEDER-31477"],"award-info":[{"award-number":["ALG-01-0145-FEDER-31477"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,15]]},"abstract":"Abstract<\/jats:title>\n \n Motivation<\/jats:title>\n The National Human Genome Research Institute Catalog of Published Genome-Wide Association Studies (GWAS) Catalog has collected, curated and made available data from over 7100 studies. The recently developed GWAS Catalog representational state transfer (REST) application programming interface (API) is the only method allowing programmatic access to this resource.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Here, we describe gwasrapidd, an R package that provides the first client interface to the GWAS Catalog REST API, representing an important software counterpart to the server-side component. gwasrapidd enables users to quickly retrieve, filter and integrate data with comprehensive bioinformatics analysis tools, which is particularly critical for those looking into functional characterization of risk loci.<\/jats:p>\n <\/jats:sec>\n \n Availability and implementation<\/jats:title>\n gwasrapidd is freely available under an MIT License, and can be accessed from https:\/\/github.com\/ramiromagno\/gwasrapidd.<\/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\/btz605","type":"journal-article","created":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T07:13:48Z","timestamp":1564643628000},"page":"649-650","source":"Crossref","is-referenced-by-count":59,"title":["gwasrapidd: an R package to query, download and wrangle GWAS catalog data"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5226-3441","authenticated-orcid":false,"given":"Ramiro","family":"Magno","sequence":"first","affiliation":[{"name":"Centre for Biomedical Research (CBMR)"},{"name":"Algarve Biomedical Center (ABC)"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0454-9207","authenticated-orcid":false,"given":"Ana-Teresa","family":"Maia","sequence":"additional","affiliation":[{"name":"Centre for Biomedical Research (CBMR)"},{"name":"Algarve Biomedical Center (ABC)"},{"name":"Department of Biomedical Sciences and Medicine (DCBM) , Universidade do Algarve, Faro 8005-139, Portugal"}]}],"member":"286","published-online":{"date-parts":[[2019,8,2]]},"reference":[{"key":"2023013112084493800_btz605-B1","author":"Kelly","year":"2016"},{"key":"2023013112084493800_btz605-B2","year":"2019"},{"key":"2023013112084493800_btz605-B3","volume-title":"R: A Language and Environment for Statistical Computing","year":"2017"},{"key":"2023013112084493800_btz605-B4","doi-asserted-by":"crossref","first-page":"D1001","DOI":"10.1093\/nar\/gkt1229","article-title":"The NHGRI GWAS Catalog, a curated resource of SNP-trait associations","volume":"42","author":"Welter","year":"2014","journal-title":"Nucleic Acids Res"},{"key":"2023013112084493800_btz605-B5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v059.i10","article-title":"Tidy data","volume":"59","author":"Wickham","year":"2014","journal-title":"J. Stat. 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