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DERIVING HAPLOTYPES THROUGH RECOMBINATION AND GENE CONVERSION PATHWAYS

机译:通过重组和基因转化途径推导单倍型

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Retracing the trajectories of past genetic events is crucial to understand the structure of the genome, both in individuals and across populations. A haplotype describes a string of polymorphic sites along a DNA segment. Haplotype diversity is due to mutations creating new variants, and to recombinations and gene conversions that mix and redistribute these variants among individual chromosomes in populations. A number of studies have revealed a relatively simple pattern of haplotype diversity in the human genome, dominated by a few common haplotypes representing founder ancestral ones. New haplotypes are usually rare and have a limited geographic distribution. We propose a method to derive a new haplotype from a set of putative ancestral haplotypes, once mutations in place, through minimal recombination and gene conversion pathways. We describe classes of pathways that represent the whole set of minimal pathways leading to a new haplotype. We show that obtaining this set of pathways can be represented as a problem of finding "secondary structures" of minimum energy. We present a polynomial algorithm solving this folding problem.
机译:追溯过去遗传事件的轨迹对于了解个体和跨人群的基因组结构至关重要。单倍型描述了沿着DNA片段的一串多态性位点。单倍型多样性是由于产生新变体的突变,以及将这些变体混合并在人群中各个染色体之间重新分布的重组和基因转换所致。多项研究表明,人类基因组中单倍型多样性的模式相对简单,以代表创始人祖先的几种常见单倍型为主导。新的单体型通常很少见,并且地理分布有限。我们提出了一种方法,可以通过最小的重组和基因转化途径从一组假定的祖先单倍型中衍生出新的单倍型,一旦发生突变。我们描述的通路类别代表了导致新单倍型的最小通路的整个集合。我们表明,获得这组路径可以表示为寻找最小能量的“二级结构”的问题。我们提出了解决此折叠问题的多项式算法。

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