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Mapping quantitative trait loci with censored observations.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Diao, Guoqing Lin, D. Y. Zou, Fei |
| Copyright Year | 2004 |
| 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. |
| Starting Page | 71 |
| Ending Page | 77 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.genetics.org/content/genetics/168/3/1689.full.pdf |
| PubMed reference number | 15579717v1 |
| Volume Number | 168 |
| Issue Number | 3 |
| Journal | Genetics |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Censor Clinical Trial Censoring Inference P-Value Phenotype Quantitative Trait Loci |
| Content Type | Text |
| Resource Type | Article |
