Mapping interacting QTL for count phenotypes using hierarchical Poisson and binomial models: an application to reproductive traits in mice.
Mapping interacting QTL for count phenotypes using hierarchical Poisson and binomial models: an application to reproductive traits in mice.
复制标题
使用分层泊松和二项式模型绘制计数表型的相互作用 QTL：在小鼠生殖性状中的应用。
DOI：
10.1017/s0016672310000029
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发表时间：
2010
影响因子：
1.5
通讯作者：
Yi,Nengjun
中科院分区：
文献类型：
--
作者：
Li,Jun;Reynolds,Richard;Pomp,Daniel;Allison,DavidB;Yi,Nengjun
我们提出了分层泊松和二项式模型，用于绘制实验杂交中计数性状的多个相互作用的数量性状基因座（QTL）。我们将我们的方法应用于 F2 雌性小鼠群体中两个计数的生殖特征，即妊娠 17 天时的活胎 (LF) 和死胎 (DF)。我们分别将观察到的黄体数量（排卵率）作为泊松模型和二项式模型中的基线和总试验。我们检测到 LF 和 DF 的 10 多个 QTL，大多数具有上位性和多效性。上位效应比主效应更大，涉及更多的 QTL，并且解释了更大比例的表型变异。我们的分析揭示了生殖性状的多个相互作用的QTL的复杂网络，并增加了我们对生殖性状遗传结构的理解。所提出的统计模型和方法为检测复杂计数表型的多个相互作用的QTL提供了有价值的工具。
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.