ArticleGenetics2004
Mapping quantitative trait loci with censored observations.
Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Efficient methods for signal detection from correlated adverse events in clinical trials.Biometrics · 2019Article
- Parametric proportional hazards model for mapping genomic imprinting of survival traits.Journal of applied genetics · 2013Article
- Characterization of genomic imprinting effects and patterns with parametric accelerated failure time model.Molecular genetics and genomics : MGG · 2012Article
- Evaluating markers in selected genes for association with functional longevity of dairy cattle.BMC genetics · 2011Article
- Statistical optimization of parametric accelerated failure time model for mapping survival trait loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Bayesian model selection for characterizing genomic imprinting effects and patterns.Bioinformatics (Oxford, England) · 2010Article
- Bayesian robust analysis for genetic architecture of quantitative traits.Bioinformatics (Oxford, England) · 2009Article
- Hierarchical generalized linear models for multiple quantitative trait locus mapping.Genetics · 2009Article
- Robust Bayesian mapping of quantitative trait loci using Student-t distribution for residual.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009Article
- Mapping quantitative trait loci from a single-tail sample of the phenotype distribution including survival data.Genetics · 2007Article
- Article
- Mixture cure model with an application to interval mapping of quantitative trait loci.Lifetime data analysis · 2006Article
- On the generalized poisson regression mixture model for mapping quantitative trait loci with count data.Genetics · 2006Article
- A simple linear regression method for quantitative trait loci linkage analysis with censored observations.Genetics · 2006Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The existing statistical methods for mapping quantitative trait loci (QTL) assume that the phenotype follows a normal distribution and is fully observed. These assumptions may not be satisfied when the phenotype pertains to the survival time or failure time, which has a skewed distribution and is usually subject to censoring due to random loss of follow-up or limited duration of the experiment. In this article, we propose an interval-mapping approach for censored failure time phenotypes. We formulate the effects of QTL on the failure time through parametric proportional hazards models and develop efficient likelihood-based inference procedures. In addition, we show how to assess genome-wide statistical significance. The performance of the proposed methods is evaluated through extensive simulation studies. An application to a mouse cross is provided.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.