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    YI, NENGJUN 2010. Statistical analysis of genetic interactions. Genetics Research, Vol. 92, Issue. 5-6, p. 443.

    ZHANG, Qin and LI, Shao-Wu 2012. 《遗传》杂志努力推动中国动物遗传育种研究. Hereditas (Beijing), Vol. 34, Issue. 10, p. 1221.


Mapping interacting QTL for count phenotypes using hierarchical Poisson and binomial models: an application to reproductive traits in mice

  • JUN LI (a1), RICHARD REYNOLDS (a1), DANIEL POMP (a2), DAVID B. ALLISON (a1) (a3) and NENGJUN YI (a1) (a3)
  • DOI:
  • Published online: 04 March 2010

We proposed hierarchical Poisson and binomial models for mapping multiple interacting quantitative trait loci (QTLs) for count traits in experimental crosses. We applied our methods to two counted reproductive traits, live fetuses (LF) and dead fetuses (DF) at 17 days gestation, in an F2 female mouse population. We treated observed number of corpora lutea (ovulation rate) as the baseline and the total trials in our Poisson and binomial models, respectively. We detected more than 10 QTLs for LF and DF, most having epistatic and pleiotropic effects. The epistatic effects were larger, involved more QTLs, and explained a larger proportion of phenotypic variance than the main effects. Our analyses revealed a complex network of multiple interacting QTLs for the reproductive traits, and increase our understanding of the genetic architecture of reproductive characters. The proposed statistical models and methods provide valuable tools for detecting multiple interacting QTLs for complex count phenotypes.

Corresponding author
*Corresponding author: Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL35294-0022, USA. Email:
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Genetics Research
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