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A novel iterative mixed model to remap three complex orthopedic traits in dogs

机译:一种新的迭代混合模型来重绘狗的三个复杂骨科特征

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摘要

Hip dysplasia (HD), elbow dysplasia (ED), and rupture of the cranial (anterior) cruciate ligament (RCCL) are the most common complex orthopedic traits of dogs and all result in debilitating osteoarthritis. We reanalyzed previously reported data: the Norberg angle (a quantitative measure of HD) in 921 dogs, ED in 113 cases and 633 controls, and RCCL in 271 cases and 399 controls and their genotypes at ~185,000 single nucleotide polymorphisms. A novel fixed and random model with a circulating probability unification (FarmCPU) function, with marker-based principal components and a kinship matrix to correct for population stratification, was used. A Bonferroni correction at p<0.01 resulted in a P< 6.96 ×10−8. Six loci were identified; three for HD and three for RCCL. An associated locus at CFA28:34,369,342 for HD was described previously in the same dogs using a conventional mixed model. No loci were identified for RCCL in the previous report but the two loci for ED in the previous report did not reach genome-wide significance using the FarmCPU model. These results were supported by simulation which demonstrated that the FarmCPU held no power advantage over the linear mixed model for the ED sample but provided additional power for the HD and RCCL samples. Candidate genes for HD and RCCL are discussed. When using FarmCPU software, we recommend a resampling test, that a positive control be used to determine the optimum pseudo quantitative trait nucleotide-based covariate structure of the model, and a negative control be used consisting of permutation testing and the identical resampling test as for the non-permuted phenotypes.
机译:髋关节发育不良(HD),肘关节发育不良(ED)和颅(前)交叉韧带(RCCL)破裂是犬最常见的复杂骨科特征,所有这些都会导致虚弱的骨关节炎。我们重新分析了先前报道的数据:921只狗的Norberg角(HD的定量测量值),113例的ED和633个对照的ED,271例和399个对照的RCCL及其基因型在〜185,000个单核苷酸多态性下。使用具有循环概率统一(FarmCPU)功能的新型固定和随机模型,该模型具有基于标记的主成分和用于校正人口分层的亲属关系矩阵。在p <0.01时进行Bonferroni校正会导致P <6.96×10 -8 。确定了六个基因座; HD的三个,RCCL的三个。先前使用相同的混合模型在同一只狗中描述了HD的CFA28:34,369,342的相关基因座。在上一份报告中没有为RCCL确定基因座,但在上一份报告中使用FarmCPU模型在ED中的两个基因座未达到全基因组意义。这些结果得到了仿真的支持,仿真表明,对于ED样本,FarmCPU在线性混合模型上没有功耗优势,但为HD和RCCL样本提供了额外的功耗。讨论了HD和RCCL的候选基因。当使用FarmCPU软件时,我们建议进行重采样测试,即使用阳性对照确定模型的最佳基于伪定量特征核苷酸的协变量结构,而使用阴性对照进行排列测试和与之相同的重采样测试非排列表型。

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