A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS
A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS
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DOI：
10.1111/j.1558-5646.1988.tb02514.x
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发表时间：
1988-09-01
期刊：
影响因子：
3.3
通讯作者：
CHEVERUD, JM
中科院分区：
文献类型：
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作者：
CHEVERUD, JM
遗传变异和相关性是数量进化理论的核心。然而，由于需要大量的相关个人样本，它们往往很难估计。我调查了从文献中提取的41对矩阵中遗传和表型相关大小和模式的关系，以确定它们的相似程度，以及在无法准确估计遗传方差和相关性的情况下，是否可以使用表型参数来代替它们的遗传对应物。分析表明，平方遗传相关平均远高于平方表型相关，遗传相关和表型相关只有大体相似的模式。这些结果可能是由于生物原因，也可能是由于抽样误差导致的遗传相关性估计不准确。当只包括那些基于最大样本量(有效样本量为40或更多)的研究时，平方遗传相关估计仅略大于其表型相关，相关模式惊人地相似。因此，表型相关性估计和遗传相关性估计之间的大部分不同似乎是由于对遗传相关性的不精确估计。在许多情况下，表型相关性很可能是对其遗传对应关系的公平估计。这些进一步的结果还表明，表型变异的遗传和环境原因往往以类似的方式作用于生长和发育。
Genetic variances and correlations lie at the center of quantitative evolutionary theory. They are often difficult to estimate, however, due to the large samples of related individuals that are required. I investigated the relationship of genetic- and phenotypic-correlation magnitudes and patterns in 41 pairs of matrices drawn from the literature in order to determine their degree of similarity and whether phenotypic parameters could be used in place of their genetic counterparts in situations where genetic variances and correlations cannot be precisely estimated. The analysis indicates that square genetic correlations were on average much higher than squared phenotypic correlations and that genetic and phenotypic correlations had only broadly similar patterns. These results could be due either to biological causes or to imprecision of genetic-correlation estimates due to sampling error. When only those studies based on the largest sample sizes (effective sample size of 40 or more) were included, squared genetic-correlation estimates were only slightly greater than their phenotypic counterparts and the patterns of correlation were strikingly similar. Thus, much of the dissimilarity between phenotypic- and genetic-correlation estimates seems to be due to imprecise estimates of genetic correlations. Phenotypic correlations are likely to be fair estimates of their genetic counterparts in many situations. These further results also indicate that genetic and environmental causes of phenotypic variation tend to act on growth and development in a similar manner.