Parametric proportional hazards model for mapping genomic imprinting of survival traits
作者: Huijiang GaoYongxin LiuTingting ZhangRunqing YangDaniel R. Prows
作者单位: 1Institute of Animal Sciences, Chinese Academy of Agricultural Sciences
2Research Centre for Aquatic Biotechnology, Chinese Academy of Fishery Sciences
3Department of Applied and Computational Mathematics and Statistics, University of Notre Dame
4Beidaihe Central Experiment Station, Chinese Academy of Fishery Sciences
5School of Agriculture and Biology, Shanghai Jiao Tong University
6Division of Human Genetics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine
刊名: Journal of Applied Genetics, 2013, Vol.54 (1), pp.79-88
来源数据库: Springer Nature Journal
DOI: 10.1007/s13353-012-0120-2
关键词: Cox proportional hazards modelImprinted quantitative trait lociMappingOptimisationSurvival distributionSurvival trait
英文摘要: Abstract(#br)A number of imprinted genes have been observed in plants, animals and humans. They not only control growth and developmental traits, but may also be responsible for survival traits. Based on the Cox proportional hazards (PH) model, we constructed a general parametric model for dissecting genomic imprinting, in which a baseline hazard function is selectable for fitting the effects of imprinted quantitative trait loci (iQTL) genotypes on the survival curve. The expectation–maximisation (EM) algorithm is derived for solving the maximum likelihood estimates of iQTL parameters. The imprinting patterns of the detected iQTL are statistically tested under a series of null hypotheses. The Bayesian information criterion (BIC) model selection criterion is employed to choose an optimal...
全文获取路径: Springer Nature  (合作)
影响因子:1.847 (2012)

  • imprinting 印痕
  • proportional 成比例的
  • survival 生存
  • mapping 映象
  • genomic 染色体组的
  • model 模型