Dissecting complex traits using the Drosophila Synthetic Population Resource.
Dissecting complex traits using the Drosophila Synthetic Population Resource.
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DOI：
10.1016/j.tig.2014.07.009
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发表时间：
2014-11
期刊：
影响因子：
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通讯作者：
King EG
中科院分区：
文献类型：
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作者：
Long AD;Macdonald SJ;King EG
对于大多数复杂性状，我们对导致其变异的潜在遗传变异的位置、表型效应和种群频率了解甚少。最近，一些研究小组在不同的模式生物中开发了多亲本高级交叉图谱，试图提高我们表征致病遗传变异的能力。这些面板功能强大，特别适合于由罕见等位基因和分离多个功能等位基因的位点产生的表型变异的解剖。我们描述了使用这样一个面板的研究，果蝇合成种群资源，以及对我们理解复杂性状的遗传基础的影响。特别是，我们注意到许多大影响的位点似乎是多等位基因。如果多等位基因是一种普遍规律，那么设计用于识别多等位基因变异的分析方法应该是全基因组关联研究和多亲本小组的优先选择。
For most complex traits we have a poor understanding of the positions, phenotypic effects, and population frequencies of the underlying genetic variants contributing to their variation. Recently, several groups have developed multi-parent advanced intercross mapping panels in different model organisms in an attempt to improve our ability to characterize causative genetic variants. These panels are powerful and are particularly well suited to the dissection of phenotypic variation generated by rare alleles and loci segregating multiple functional alleles. We describe studies using one such panel, the Drosophila Synthetic Population Resource, and the implications for our understanding of the genetic basis of complex traits. In particular, we note that many loci of large effect appear to be multiallelic. If multiallelism is a general rule, analytical approaches designed to identify multiallelic variants should be a priority for both genome wide association studies and multi-parental panels.