ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2012
A variable age of onset segregation model for linkage analysis, with correction for ascertainment, applied to glioma.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The genomic landscape of familial glioma.Science advances · 2023Article
- Molecular Characterization of Differentiated-Resistance MSC Subclones by Single-Cell Transcriptomes.Frontiers in cell and developmental biology · 2022Article
- Genome-wide analysis of high-risk primary brain cancer pedigrees identifies PDXDC1 as a candidate brain cancer predisposition gene.Neuro-oncology · 2021Article
- Postoperative standard chemoradiotherapy benefits primary glioblastoma patients of all ages.Cancer medicine · 2020Article
- Linkage and related analyses of Barrett's esophagus and its associated adenocarcinomas.Molecular genetics & genomic medicine · 2016Article
- Predicting Barrett's Esophagus in Families: An Esophagus Translational Research Network (BETRNet) Model Fitting Clinical Data to a Familial Paradigm.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016Article
- Glioma cell VEGFR-2 confers resistance to chemotherapeutic and antiangiogenic treatments in PTEN-deficient glioblastoma.Oncotarget · 2015Article
- Targeted sequencing in chromosome 17q linkage region identifies familial glioma candidates in the Gliogene Consortium.Scientific reports · 2015Article
- The epidemiology of glioma in adults: a "state of the science" review.Neuro-oncology · 2014Review
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Authors and funding
30 authors.
Funding
Abstract
backgroundWe propose a 2-step model-based approach, with correction for ascertainment, to linkage analysis of a binary trait with variable age of onset and apply it to a set of multiplex pedigrees segregating for adult glioma.
methodsFirst, we fit segregation models by formulating the likelihood for a person to have a bivariate phenotype, affection status and age of onset, along with other covariates, and from these we estimate population trait allele frequencies and penetrance parameters as a function of age (N = 281 multiplex glioma pedigrees). Second, the best fitting models are used as trait models in multipoint linkage analysis (N = 74 informative multiplex glioma pedigrees). To correct for ascertainment, a prevalence constraint is used in the likelihood of the segregation models for all 281 pedigrees. Then the trait allele frequencies are reestimated for the pedigree founders of the subset of 74 pedigrees chosen for linkage analysis.
resultsUsing the best-fitting segregation models in model-based multipoint linkage analysis, we identified 2 separate peaks on chromosome 17; the first agreed with a region identified by Shete and colleagues who used model-free affected-only linkage analysis, but with a narrowed peak: and the second agreed with a second region they found but had a larger maximum log of the odds (LOD).
conclusionsOur approach was able to narrow the linkage peak previously published for glioma. IMPACT: We provide a practical solution to model-based linkage analysis for disease affection status with variable age of onset for the kinds of pedigree data often collected for linkage analysis.
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