果蝇染色体分析的生物统计学遗传方法：地心引力趋向性上位相互作用的检测
A biometrical genetic approach to chromosome analysis in Drosophila: detection of epistatic interactions in geotaxis.
作者信息
McGuire T R
机构信息
Department of Biological Sciences, Nelson Biological Laboratories, Rutgers State University of New Jersey, Piscataway 08855-1059.
出版信息
Behav Genet. 1992 Jul;22(4):453-67. doi: 10.1007/BF01066615.
Chromosome analysis has been widely used as a first step in elucidating the genetic architecture of several behaviors of Drosophila melanogaster. These chromosome studies have generally used incomplete designs or fairly simple statistical analyses. Here I reanalyze two data sets on geotaxis from Pyle (1978) and Ksander (1966) using a biometrical genetic design. Results from the biometrical genetic reanalysis suggest that individual differences in geotaxis might be due to genes on all three major chromosomes which show extensive epistatic interactions.
染色体分析作为阐明黑腹果蝇几种行为遗传结构的第一步已被广泛应用。这些染色体研究通常采用不完整的设计或相当简单的统计分析方法。在此，我使用生物统计学遗传设计重新分析了来自派尔（1978年）和桑德（1966年）的两组关于趋地性的数据。生物统计学遗传重新分析的结果表明，趋地性的个体差异可能归因于所有三条主要染色体上的基因，这些基因显示出广泛的上位性相互作用。
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