The effect of phenotype variation on detection of linkage in the COGA data.
The effect of phenotype variation on detection of linkage in the COGA data.
复制标题
表型变异对 COGA 数据中连锁检测的影响。
DOI：
10.1002/gepi.1370170711
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Mitchell,BD
中科院分区：
文献类型：
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作者：
Birznieks,G;Ghosh,S;Watanabe,RM;Mitchell,BD
表型测量中的误差可显著损害检测连锁的能力。我们评估了在酒精中毒遗传学合作研究（COGA）数据中引入表型测量误差对我们检测数量性状基因座的能力的影响。评估了引入三种不同类型的误差的影响：1）从正态分布中采样产生的误差; 2）受试者之间置换表型值产生的误差; 3）从均匀误差分布中采样产生的误差。
Error in phenotypic measurement can significantly compromise ability to detect linkage. We assessed the impact of introducing phenotypic measurement error on our ability to detect a quantitative trait locus in the Collaborative Study on the Genetics of Alcoholism (COGA) data. The impact of introducing three different types of errors was evaluated: 1) errors generated by sampling from a normal distribution; 2) errors generated by permuting phenotype values between subjects; and 3) errors generated by sampling from a uniform error distribution.