{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T19:49:25Z","timestamp":1782244165340,"version":"3.54.5"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2016,10,12]],"date-time":"2016-10-12T00:00:00Z","timestamp":1476230400000},"content-version":"vor","delay-in-days":264,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,5,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Summary: Familial aggregation analysis is the first fundamental step to perform when assessing the extent of genetic background of a disease. However, there is a lack of software to analyze the familial clustering of complex phenotypes in very large pedigrees. Such pedigrees can be utilized to calculate measures that express trait aggregation on both the family and individual level, providing valuable directions in choosing families for detailed follow-up studies. We developed FamAgg, an open source R package that contains both established and novel methods to investigate familial aggregation of traits in large pedigrees. We demonstrate its use and interpretation by analyzing a publicly available cancer dataset with more than 20 000 participants distributed across approximately 400 families.<\/jats:p><jats:p>Availability and implementation: The FamAgg package is freely available at the Bioconductor repository, http:\/\/www.bioconductor.org\/packages\/FamAgg.<\/jats:p><jats:p>Contact: \u00a0Christian.Weichenberger@eurac.edu<\/jats:p><jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw019","type":"journal-article","created":{"date-parts":[[2016,2,15]],"date-time":"2016-02-15T01:09:07Z","timestamp":1455498547000},"page":"1583-1585","source":"Crossref","is-referenced-by-count":26,"title":["FamAgg: an R package to evaluate familial aggregation of traits in large pedigrees"],"prefix":"10.1093","volume":"32","author":[{"given":"Johannes","family":"Rainer","sequence":"first","affiliation":[{"name":"1 Center for Biomedicine, European Academy of Bozen\/Bolzano (EURAC) (Affiliated to the University of L\u00fcbeck, L\u00fcbeck, Germany), Bolzano 39100, Italy and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Taliun","sequence":"additional","affiliation":[{"name":"2 Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109-2029, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuri","family":"D\u2019Elia","sequence":"additional","affiliation":[{"name":"1 Center for Biomedicine, European Academy of Bozen\/Bolzano (EURAC) (Affiliated to the University of L\u00fcbeck, L\u00fcbeck, Germany), Bolzano 39100, Italy and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian","family":"Pattaro","sequence":"additional","affiliation":[{"name":"1 Center for Biomedicine, European Academy of Bozen\/Bolzano (EURAC) (Affiliated to the University of L\u00fcbeck, L\u00fcbeck, Germany), Bolzano 39100, Italy and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco S.","family":"Domingues","sequence":"additional","affiliation":[{"name":"1 Center for Biomedicine, European Academy of Bozen\/Bolzano (EURAC) (Affiliated to the University of L\u00fcbeck, L\u00fcbeck, Germany), Bolzano 39100, Italy and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian X.","family":"Weichenberger","sequence":"additional","affiliation":[{"name":"1 Center for Biomedicine, European Academy of Bozen\/Bolzano (EURAC) (Affiliated to the University of L\u00fcbeck, L\u00fcbeck, Germany), Bolzano 39100, Italy and"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2016,1,22]]},"reference":[{"key":"2023020112274013500_btw019-B1","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1093\/bioinformatics\/btm617","article-title":"Jenti: an efficient tool for mining complex inbred genealogies","volume":"24","author":"Falchi","year":"2008","journal-title":"Bioinformatics"},{"key":"2023020112274013500_btw019-B2","first-page":"299","volume-title":"Cancer Incidence in Defined Populations. 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