{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T07:59:55Z","timestamp":1778659195045,"version":"3.51.4"},"reference-count":5,"publisher":"Oxford University Press (OUP)","issue":"22","license":[{"start":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T00:00:00Z","timestamp":1560470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["CA124504"],"award-info":[{"award-number":["CA124504"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["CA163251"],"award-info":[{"award-number":["CA163251"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["CA008748"],"award-info":[{"award-number":["CA008748"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>The Clonality R package is a practical tool to assess the clonal relatedness of two tumors from the same patient. We have previously presented its functionality for testing tumors using loss of heterozygosity data or copy number arrays. Since then somatic mutation data have been more widely available through next generation sequencing and we have developed new methodology for comparing the tumors\u2019 mutational profiles. We thus extended the package to include these two new methods for comparing tumors as well as the mutational frequency estimation from external data required for their implementation. The first method is a likelihood ratio test that is readily available on a patient by patient basis. The second method employs a random-effects model to estimate both the population and individual probabilities of clonal relatedness from a group of patients with pairs of tumors. The package is available on Bioconductor.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>Bioconductor (http:\/\/bioconductor.org\/packages\/release\/bioc\/html\/Clonality.html).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz486","type":"journal-article","created":{"date-parts":[[2019,6,10]],"date-time":"2019-06-10T19:14:53Z","timestamp":1560194093000},"page":"4776-4778","source":"Crossref","is-referenced-by-count":10,"title":["Testing clonal relatedness of two tumors from the same patient based on their mutational profiles: update of the <i>Clonality<\/i> R package"],"prefix":"10.1093","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3236-6093","authenticated-orcid":false,"given":"Audrey","family":"Mauguen","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center , New York, NY 10017, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Venkatraman E","family":"Seshan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center , New York, NY 10017, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Colin B","family":"Begg","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center , New York, NY 10017, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irina","family":"Ostrovnaya","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center , New York, NY 10017, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2019,6,14]]},"reference":[{"key":"2023013108362008500_btz486-B1","doi-asserted-by":"crossref","first-page":"66.","DOI":"10.1186\/s13058-016-0727-z","article-title":"Clonal relationships between lobular carcinoma in situ and other breast malignancies","volume":"18","author":"Begg","year":"2016","journal-title":"Breast Cancer Res"},{"key":"2023013108362008500_btz486-B2","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.cels.2018.03.002","article-title":"Cancer Genome Atlas Research Network, scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines","volume":"6","author":"Ellrott","year":"2018","journal-title":"Cell Syst"},{"key":"2023013108362008500_btz486-B3","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1111\/biom.12710","article-title":"Estimating the probability of clonal relatedness of pairs of tumors in cancer patients","volume":"74","author":"Mauguen","year":"2018","journal-title":"Biometrics"},{"key":"2023013108362008500_btz486-B4","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1214\/15-AOAS836","article-title":"Using somatic mutation data to test tumors for clonal relatedness","volume":"9","author":"Ostrovnaya","year":"2015","journal-title":"Ann. Appl. 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