{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T13:05:04Z","timestamp":1773666304238,"version":"3.50.1"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"15","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Summary: Several approaches to the region-based association analysis of quantitative traits have recently been developed and successively applied. However, no software package has been developed that implements all of these approaches for either independent or structured samples. Here we introduce FREGAT (Family REGional Association Tests), an R package that can handle family and population samples and implements a wide range of region-based association methods including burden tests, functional linear models, and kernel machine-based regression. FREGAT can be used in genome\/exome-wide region-based association studies of quantitative traits and candidate gene analysis. FREGAT offers many useful options to empower its users and increase the effectiveness and applicability of region-based association analysis.<\/jats:p><jats:p>Availability and Implementation: \u00a0https:\/\/cran.r-project.org\/web\/packages\/FREGAT\/index.html<\/jats:p><jats:p>Supplementary Information: \u00a0Supplementary data are available at Bioinformatics Online.<\/jats:p><jats:p>Contact: \u00a0belon@bionet.nsc.ru<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw160","type":"journal-article","created":{"date-parts":[[2016,3,26]],"date-time":"2016-03-26T00:23:39Z","timestamp":1458951819000},"page":"2392-2393","source":"Crossref","is-referenced-by-count":19,"title":["FREGAT: an R package for region-based association analysis"],"prefix":"10.1093","volume":"32","author":[{"given":"Nadezhda M.","family":"Belonogova","sequence":"first","affiliation":[{"name":"1 Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk"}]},{"given":"Gulnara R.","family":"Svishcheva","sequence":"additional","affiliation":[{"name":"1 Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk"},{"name":"2 Vavilov Institute of General Genetics, the Russian Academy of Sciences, Moscow, Russia"}]},{"given":"Tatiana I.","family":"Axenovich","sequence":"additional","affiliation":[{"name":"1 Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk"},{"name":"3 Novosibirsk State University, Novosibirsk, Russia"}]}],"member":"286","published-online":{"date-parts":[[2016,3,24]]},"reference":[{"key":"2023020112471774200_btw160-B1","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1093\/bioinformatics\/btm108","article-title":"GenABEL: an R library for genome-wide association analysis","volume":"23","author":"Aulchenko","year":"2007","journal-title":"Bioinformatics"},{"key":"2023020112471774200_btw160-B2","doi-asserted-by":"crossref","first-page":"e65395","DOI":"10.1371\/journal.pone.0065395","article-title":"Region-based association analysis of human quantitative traits in related individuals","volume":"8","author":"Belonogova","year":"2013","journal-title":"PLoS One"},{"key":"2023020112471774200_btw160-B3","author":"Calaway","year":"2015"},{"key":"2023020112471774200_btw160-B4","author":"Calaway","year":"2015"},{"key":"2023020112471774200_btw160-B5","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1002\/gepi.21703","article-title":"Sequence kernel association test for quantitative traits in family samples","volume":"37","author":"Chen","year":"2013","journal-title":"Genet. 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