Regressions between relatives
Material type: ArticleLanguage: En Publication details: 1976 In: Genetical Research v. 28, no. 2, p. 199-203Summary: A metric character determined by a large number of loci without epistasis is normally distributed. In the absence of linkage the joint distribution in two or more relatives is multivariate normal, so that all regressions are linear and have constant residual variance. In the presence of linkage this is no longer true except in the case of parent and child; for all other types of relatives the regression line is unaffected by linkage but the residual variance about this line is no longer constant but increases away from the mean.Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Article | CIMMYT Knowledge Center: John Woolston Library | Reprints Collection | Available |
A metric character determined by a large number of loci without epistasis is normally distributed. In the absence of linkage the joint distribution in two or more relatives is multivariate normal, so that all regressions are linear and have constant residual variance. In the presence of linkage this is no longer true except in the case of parent and child; for all other types of relatives the regression line is unaffected by linkage but the residual variance about this line is no longer constant but increases away from the mean.
English