On "Path analysis in genetic epidemiology: a critique".
On "Path analysis in genetic epidemiology: a critique".
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发表时间:
1983-07
影响因子:
9.8
通讯作者:
Sewall Wright
中科院分区:
文献类型:
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作者:
Sewall Wright
While the critique by Karlin et al. [1] was primarily concerned with recent applications of path analysis to genetic epidemiology by Rao and Morton [2, 3], Rice et al. [4], and Cloninger [5], it devoted much space to alleged shortcomings of path analysis in general. Since the latter authors are publishing a defense of their methods [6], I will confine myself largely to the defense of path analysis in general, a method that I proposed in 1918 [7], with first general account given in 1921 [8]. The purpose of this method is the evaluation of the relative importance of the various causes of variation in a particular population. It should be emphasized that it was concerned only with the precipitating variations due to causes, not with causes in an absolute sense. The development of characters in a population that has been made isogenic are absolutely dependent on an appropriate heredity and also on an appropriate environment. Both are absolutely necessary, and no evaluation of their relative importance is possible. Observed variation, however, must be due 100% to environmental variation, since none can be due to genetic variation by definition of "isogenic" (apart from very rare mutations). Prof. W. E. Castle, my mentor as a graduate student, became involved in a controversy on whether differences in total size in a population are due predominantly to factors that affect the growth of all parts of the body alike or are merely due to the summation effect, on various parts separately. He asked his graduate students, H. D. Fish, and myself to calculate all of the 10 correlations among five bone measurements made by a former student in a rather heterogeneous population of rabbits. The 10 coefficients were all rather high (.558 to .758). Prof. Castle took this as supporting his position [9] in opposition to the view of certain others that racial crossing was likely to lead to disharmonious development in later generations. The correlations were, however, far from perfect. It seemed of interest to attempt to make a more precise evaluation of the relative contributions of factors affecting general size, of ones affecting certain groups of measurements, and of ones with effects restricted to the particular measurement: to its squared standard deviations. The method arrived at was what was later called path analysis, except that the coefficients were the squares of the path coefficients.