Nielsen D M, Weir B S
Department of Statistics, North Carolina State University, Raleigh 27695-8203, USA.
Genet Res. 1999 Dec;74(3):271-7. doi: 10.1017/s0016672399004231.
We examine the relationships between a genetic marker and a locus affecting a quantitative trait by decomposing the genetic effects of the marker locus into additive and dominance effects under a classical genetic model. We discuss the structure of the associations between the marker and the trait locus, paying attention to non-random union of gametes, multiple alleles at the marker and trait loci, and non-additivity of allelic effects at the trait locus. We consider that this greater-than-usual level of generality leads to additional insights, in a way reminiscent of Cockerham's decomposition of genetic variance into five terms: three terms in addition to the usual additive and dominance terms. Using our framework, we examine several common tests of association between a marker and a trait.
我们通过在经典遗传模型下将标记位点的遗传效应分解为加性效应和显性效应,来研究一个遗传标记与一个影响数量性状的基因座之间的关系。我们讨论了标记与性状基因座之间关联的结构,关注配子的非随机结合、标记和性状基因座上的多个等位基因,以及性状基因座上等位基因效应的非加性。我们认为这种超出寻常的一般性水平能带来更多见解,这类似于科克伦将遗传方差分解为五个项的方式:除了通常的加性和显性项之外还有三个项。利用我们的框架,我们研究了标记与性状之间几种常见的关联检验。