Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome
DC Field | Value | Language |
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dc.contributor.author | Shin, Seung Jun | - |
dc.contributor.author | Yuan, Ying | - |
dc.contributor.author | Strong, Louise C. | - |
dc.contributor.author | Bojadzieva, Jasmina | - |
dc.contributor.author | Wang, Wenyi | - |
dc.date.accessioned | 2021-09-01T16:15:58Z | - |
dc.date.available | 2021-09-01T16:15:58Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-04-03 | - |
dc.identifier.issn | 0162-1459 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/66049 | - |
dc.description.abstract | Penetrance, which plays a key role in genetic research, is defined as the proportion of individuals with the genetic variants (i.e., genotype) that cause a particular trait and who have clinical symptoms of the trait (i.e., phenotype). We propose a Bayesian semiparametric approach to estimate the cancer-specific age-at-onset penetrance in the presence of the competing risk of multiple cancers. We employ a Bayesian semiparametric competing risk model to model the duration until individuals in a high-risk group develop different cancers, and accommodate family data using family-wise likelihoods. We tackle the ascertainment bias arising when family data are collected through probands in a high-risk population in which disease cases are more likely to be observed. We apply the proposed method to a cohort of 186 families with Li-Fraumeni syndrome identified through probands with sarcoma treated at MD Anderson Cancer Center from 1944 to 1982. Supplementary materials for this article are available online. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | AMER STATISTICAL ASSOC | - |
dc.subject | COMPETING RISKS | - |
dc.subject | BREAST-CANCER | - |
dc.subject | P53 MUTATIONS | - |
dc.subject | GENE-CHARACTERIZATION | - |
dc.subject | FIT TESTS | - |
dc.subject | MODELS | - |
dc.subject | PEDIGREE | - |
dc.subject | GOODNESS | - |
dc.subject | FAMILY | - |
dc.subject | COHORT | - |
dc.title | Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shin, Seung Jun | - |
dc.identifier.doi | 10.1080/01621459.2018.1482749 | - |
dc.identifier.scopusid | 2-s2.0-85052106632 | - |
dc.identifier.wosid | 000472559400004 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.114, no.526, pp.541 - 552 | - |
dc.relation.isPartOf | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | - |
dc.citation.title | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | - |
dc.citation.volume | 114 | - |
dc.citation.number | 526 | - |
dc.citation.startPage | 541 | - |
dc.citation.endPage | 552 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | COMPETING RISKS | - |
dc.subject.keywordPlus | BREAST-CANCER | - |
dc.subject.keywordPlus | P53 MUTATIONS | - |
dc.subject.keywordPlus | GENE-CHARACTERIZATION | - |
dc.subject.keywordPlus | FIT TESTS | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordPlus | PEDIGREE | - |
dc.subject.keywordPlus | GOODNESS | - |
dc.subject.keywordPlus | FAMILY | - |
dc.subject.keywordPlus | COHORT | - |
dc.subject.keywordAuthor | Cancer-specific age-at-onset penetrance | - |
dc.subject.keywordAuthor | Competing risk | - |
dc.subject.keywordAuthor | Family-wise likelihood | - |
dc.subject.keywordAuthor | Gamma frailty model | - |
dc.subject.keywordAuthor | Li-Fraumeni syndrome | - |
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