{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T09:22:49Z","timestamp":1694510569281},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: It is difficult for current simulation tools to simulate sequence data in a pre-specified pedigree structure and pre-specified affection status. Previously, we developed a flexible tool, SeqSIMLA2, for simulating sequence data in either unrelated case-control or family samples with different disease and quantitative trait models. Here we extended the tool to efficiently simulate sequences with multiple disease sites in large pedigrees with a given disease status for each pedigree member, assuming that the disease prevalence is low.<\/jats:p>\n               <jats:p>Availability and implementation: SeqSIMLA2_exact is implemented with C++ and is available at http:\/\/seqsimla.sourceforge.net.<\/jats:p>\n               <jats:p>Contact: \u00a0rchung@nhri.org.tw<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv626","type":"journal-article","created":{"date-parts":[[2015,10,30]],"date-time":"2015-10-30T02:48:35Z","timestamp":1446173315000},"page":"557-562","source":"Crossref","is-referenced-by-count":1,"title":["SeqSIMLA2_exact: simulate multiple disease sites in large pedigrees with given disease status for diseases with low prevalence"],"prefix":"10.1093","volume":"32","author":[{"given":"Po-Ju","family":"Yao","sequence":"first","affiliation":[{"name":"Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan"}]},{"given":"Ren-Hua","family":"Chung","sequence":"additional","affiliation":[{"name":"Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan"}]}],"member":"286","published-online":{"date-parts":[[2015,10,29]]},"reference":[{"key":"2023020110313313500_btv626-B1","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1186\/1471-2105-14-199","article-title":"SeqSIMLA: a sequence and phenotype simulation tool for complex disease studies","volume":"14","author":"Chung","year":"2013","journal-title":"BMC Bioinformatics"},{"key":"2023020110313313500_btv626-B2","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1002\/gepi.21850","article-title":"SeqSIMLA2: simulating correlated quantitative traits accounting for shared environmental effects in user-specified pedigree structure","volume":"39","author":"Chung","year":"2015","journal-title":"Genet. 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