Estimation of quantitative genetic parameters under non‐normal models
作者:
MARIZA de ANDRADE,
期刊:
Annals of Human Genetics
(WILEY Available online 1995)
卷期:
Volume 59,
issue 1
页码: 107-122
ISSN:0003-4800
年代: 1995
DOI:10.1111/j.1469-1809.1995.tb01609.x
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
SummaryIn traditional quantitative genetics, the relationship between the observed value of a quantitative trait in a set of families and its genetic and environmental contributions can be described as a linear additive relationship. Generally, it is assumed that the genetic and environmental effects are independent and normally distributed. Consequently, the quantitative trait also has a normal distribution. However, there are some situations where the phenotype does not follow the normal distribution. To deal with this problem the author suggests the families of distributions that belong to the Johnson Translation System (JTS). As an example, two dependent quantitative traits, weight and height, are investigated assuming that they have a lognormal and normal distribution, respectively. Computational methods for estimating the genotypic variances and covariances are presented.
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