{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T05:00:58Z","timestamp":1772600458743,"version":"3.50.1"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"24","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":399,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Pairwise relatedness estimation is important in many contexts such as disease mapping and population genetics. However, all existing estimation methods are based on called genotypes, which is not ideal for next-generation sequencing (NGS) data of low depth from which genotypes cannot be called with high certainty.<\/jats:p>\n               <jats:p>Results: We present a software tool, NgsRelate, for estimating pairwise relatedness from NGS data. It provides maximum likelihood estimates that are based on genotype likelihoods instead of genotypes and thereby takes the inherent uncertainty of the genotypes into account. Using both simulated and real data, we show that NgsRelate provides markedly better estimates for low-depth NGS data than two state-of-the-art genotype-based methods.<\/jats:p>\n               <jats:p>Availability: NgsRelate is implemented in C++ and is available under the GNU license at www.popgen.dk\/software.<\/jats:p>\n               <jats:p>Contact: ida@binf.ku.dk<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv509","type":"journal-article","created":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:34:13Z","timestamp":1441067653000},"page":"4009-4011","source":"Crossref","is-referenced-by-count":167,"title":["NgsRelate: a software tool for estimating pairwise relatedness from next-generation sequencing data"],"prefix":"10.1093","volume":"31","author":[{"given":"Thorfinn Sand","family":"Korneliussen","sequence":"first","affiliation":[{"name":"1 Center for GeoGenetics and"}]},{"given":"Ida","family":"Moltke","sequence":"additional","affiliation":[{"name":"2 Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark"}]}],"member":"286","published-online":{"date-parts":[[2015,8,30]]},"reference":[{"key":"2023051307184636300_btv509-B1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/nature11632","article-title":"An integrated map of genetic variation from 1\u2009092 human genomes","volume":"491","author":"1000 Genomes Project Consortium","year":"2012","journal-title":"Nature"},{"key":"2023051307184636300_btv509-B2","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1002\/gepi.20418","article-title":"Case-control association testing in the presence of unknown relationships","volume":"33","author":"Choi","year":"2009","journal-title":"Genet. 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Genet."}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/31\/24\/4009\/50306977\/bioinformatics_31_24_4009.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/31\/24\/4009\/50306977\/bioinformatics_31_24_4009.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,13]],"date-time":"2023-05-13T07:20:08Z","timestamp":1683962408000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/31\/24\/4009\/198242"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,30]]},"references-count":9,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2015,12,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btv509","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2015,12,15]]},"published":{"date-parts":[[2015,8,30]]}}}