Brief. Bioinformatics - Bayesian inference for genomic imprinting underlying developmental characteristics.

Tópicos

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Resumo

The identification of imprinted genes is becoming a standard procedure in searching for quantitative trait loci (QTL) underlying complex traits. When a developmental characteristic such as growth or drug response is observed at multiple time points, understanding the dynamics of gene function governing the underlying feature should provide more biological information regarding the genetic control of an organism. Recognizing that differential imprinting can be development-specific, mapping imprinted genes considering the dynamic imprinting effect can provide additional biological insights into the epigenetic control of a complex trait. In this study, we proposed a Bayesian imprinted QTL (iQTL) mapping framework considering the dynamics of imprinting effects and model multiple iQTLs with an efficient Bayesian model selection procedure. The method overcomes the limitation of likelihood-based mapping procedure, and can simultaneously identify multiple iQTLs with different gene action modes across the whole genome with high computational efficiency. An inference procedure using Bayes factors to distinguish different imprinting patterns of iQTL was proposed. Monte Carlo simulations were conducted to evaluate the performance of the method. The utility of the approach was illustrated through an analysis of a body weight growth data set in an F(2) family derived from LG/J and SM/J mouse stains. The proposed Bayesian mapping method provides an efficient and computationally feasible framework for genome-wide multiple iQTL inference with complex developmental traits.

Resumo Limpo

identif imprint gene becom standard procedur search quantit trait loci qtl under complex trait development characterist growth drug respons observ multipl time point understand dynam gene function govern under featur provid biolog inform regard genet control organ recogn differenti imprint can developmentspecif map imprint gene consid dynam imprint effect can provid addit biolog insight epigenet control complex trait studi propos bayesian imprint qtl iqtl map framework consid dynam imprint effect model multipl iqtl effici bayesian model select procedur method overcom limit likelihoodbas map procedur can simultan identifi multipl iqtl differ gene action mode across whole genom high comput effici infer procedur use bay factor distinguish differ imprint pattern iqtl propos mont carlo simul conduct evalu perform method util approach illustr analysi bodi weight growth data set f famili deriv lgj smj mous stain propos bayesian map method provid effici comput feasibl framework genomewid multipl iqtl infer complex development trait

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