【摘要】 提出新的以广义最小二乘法原理处理同胞对数据间的相关性,以多元响应回归的方法处理多个性状数据间的相关性的多元性状同胞对连锁分析方法,模型的参数估计使用MCMC方法。并把此模型应用于原发性高血压基因定位的实际数据中。结果表明,与把多元性状拆成单一性状进行分析的方法相比,本文的方法可以提高估计的精度和检验的效能更多还原

【Abstract】 To propose a new method for linkage analysis on multi-response traits in gene mapping data using generalized least square method to allow for the correlations among sib-pairs, multi-response regression method to allow for the correlations among multiple traits and Markov chain Monte Carlo (MCMC) method to estimate the parameters. This model is applied to practical gene mapping data on primary hypertension, the result shows that, compared with these methods that analyze multiple traits one by one, this new method can improve the precision of estimates and power of test.更多还原