PMID- 23132376
OWN - NLM
STAT- MEDLINE
DCOM- 20131114
LR  - 20211021
IS  - 2190-3883 (Electronic)
IS  - 1234-1983 (Linking)
VI  - 54
IP  - 1
DP  - 2013 Feb
TI  - Parametric proportional hazards model for mapping genomic imprinting of survival 
      traits.
PG  - 79-88
LID - 10.1007/s13353-012-0120-2 [doi]
AB  - 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 baseline hazard function with maximum likelihood and 
      parsimonious parameterisation. We applied the proposed approach to analyse the 
      published data in an F(2) population of mice and concluded that, among five 
      commonly used survival distributions, the log-logistic distribution is the 
      optimal baseline hazard function for the survival time of hyperoxic acute lung 
      injury (HALI). Under this optimal model, five QTL were detected, among which four 
      are imprinted in different imprinting patterns.
FAU - Gao, Huijiang
AU  - Gao H
AD  - Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 
      100193, People's Republic of China.
FAU - Liu, Yongxin
AU  - Liu Y
FAU - Zhang, Tingting
AU  - Zhang T
FAU - Yang, Runqing
AU  - Yang R
FAU - Prows, Daniel R
AU  - Prows DR
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20121107
PL  - England
TA  - J Appl Genet
JT  - Journal of applied genetics
JID - 9514582
SB  - IM
MH  - Algorithms
MH  - Animals
MH  - Chromosome Mapping
MH  - Genomic Imprinting/*genetics
MH  - Genotype
MH  - Humans
MH  - Likelihood Functions
MH  - Mice
MH  - *Models, Genetic
MH  - Models, Statistical
MH  - Phenotype
MH  - Proportional Hazards Models
MH  - *Quantitative Trait Loci
MH  - Survival Analysis
EDAT- 2012/11/08 06:00
MHDA- 2013/11/15 06:00
CRDT- 2012/11/08 06:00
PHST- 2012/04/03 00:00 [received]
PHST- 2012/10/15 00:00 [accepted]
PHST- 2012/10/06 00:00 [revised]
PHST- 2012/11/08 06:00 [entrez]
PHST- 2012/11/08 06:00 [pubmed]
PHST- 2013/11/15 06:00 [medline]
AID - 10.1007/s13353-012-0120-2 [doi]
PST - ppublish
SO  - J Appl Genet. 2013 Feb;54(1):79-88. doi: 10.1007/s13353-012-0120-2. Epub 2012 Nov 
      7.