PMID- 22143178
OWN - NLM
STAT- MEDLINE
DCOM- 20120213
LR  - 20211021
IS  - 1617-4623 (Electronic)
IS  - 1617-4623 (Linking)
VI  - 287
IP  - 1
DP  - 2012 Jan
TI  - Characterization of genomic imprinting effects and patterns with parametric 
      accelerated failure time model.
PG  - 67-75
LID - 10.1007/s00438-011-0661-9 [doi]
AB  - Genomic imprinting, a genetic phenomenon of non-equivalent allele expression that 
      depends on parental origins, has been ubiquitously observed in nature. It does 
      not only control the traits of growth and development but also may be responsible 
      for survival traits. Based on the accelerated failure time model, we construct a 
      general parametric model for mapping the imprinted QTL (iQTL). Within the 
      framework of interval mapping, maximum likelihood estimation of iQTL parameters 
      is implemented via EM algorithm. The imprinting patterns of the detected iQTL are 
      statistically tested according to a series of null hypotheses. BIC model 
      selection criterion is employed to choose an optimal baseline hazard function 
      with maximum likelihood and parsimonious parameters. Simulations are used to 
      validate the proposed mapping procedure. A published dataset from a mouse model 
      system was used to illustrate the proposed framework. Results show that among the 
      five commonly used survival distributions, Log-logistic distribution is the 
      optimal baseline hazard function for mapping QTL of hyperoxic acute lung injury 
      (HALI) survival; under the log-logistic distribution, four QTLs were identified, 
      in which only one QTL was inherited in Mendelian fashion, whereas others were 
      imprinted in different imprinting patterns.
FAU - Zhou, Xiaojing
AU  - Zhou X
AD  - Department of Mathematics, Heilongjiang Bayi Agricultural University, Daqing, 
      People's Republic of China.
FAU - Fang, Ming
AU  - Fang M
FAU - Li, Jiahan
AU  - Li J
FAU - Prows, Daniel R
AU  - Prows DR
FAU - Yang, Runqing
AU  - Yang R
LA  - eng
GR  - R01 HL075562/HL/NHLBI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20111206
PL  - Germany
TA  - Mol Genet Genomics
JT  - Molecular genetics and genomics : MGG
JID - 101093320
SB  - IM
MH  - Acute Lung Injury/genetics
MH  - *Algorithms
MH  - Animals
MH  - Chromosome Mapping/*methods
MH  - Computer Simulation
MH  - Genomic Imprinting/*genetics
MH  - Likelihood Functions
MH  - Logistic Models
MH  - Mice
MH  - *Models, Genetic
MH  - Quantitative Trait Loci/*genetics
MH  - Survival Analysis
MH  - Time Factors
EDAT- 2011/12/07 06:00
MHDA- 2012/02/14 06:00
CRDT- 2011/12/07 06:00
PHST- 2011/04/21 00:00 [received]
PHST- 2011/11/16 00:00 [accepted]
PHST- 2011/12/07 06:00 [entrez]
PHST- 2011/12/07 06:00 [pubmed]
PHST- 2012/02/14 06:00 [medline]
AID - 10.1007/s00438-011-0661-9 [doi]
PST - ppublish
SO  - Mol Genet Genomics. 2012 Jan;287(1):67-75. doi: 10.1007/s00438-011-0661-9. Epub 
      2011 Dec 6.