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TroX: a new method to learn about the genesis of aneuploidy from trisomic products of conception

机译:TroX:一种从概念的三体产物了解非整倍性起源的新方法

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Motivation: An estimated 10-30% of clinically recognized conceptions are aneuploid, leading to spontaneous miscarriages, in vitro fertilization failures and, when viable, severe developmental disabilities. With the ongoing reduction in the cost of genotyping and DNA sequencing, the use of high-density single nucleotide polymorphism (SNP) markers for clinical diagnosis of aneuploidy and biomedical research into its causes is becoming common practice. A reliable, flexible and computationally feasible method for inferring the sources of aneuploidy is thus crucial. Results: We propose a new method, TroX, for analyzing human trisomy data using high density SNP markers from a trisomic individual or product of conception and one parent. Using a hidden Markov model, we infer the stage of the meiotic error (I or II) and the individual in which non-disjunction event occurred, as well as the crossover locations on the trisomic chromosome. A novel and important feature of the method is its reliance on data from the proband and only one parent, reducing the experimental cost by a third and enabling a larger set of data to be used. We evaluate our method by applying it to simulated trio data as well as to genotype data for 282 trios that include a child trisomic for chromosome 21. The analyses show the method to be highly reliable even when data from only one parent are available. With the increasing availability of DNA samples from mother and fetus, application of approaches such as ours should yield unprecedented insights into the genetic risk factors for aneuploidy
机译:动机:估计有10-30%的临床认可概念是非整倍体,导致自然流产,体外受精失败,以及在可行时严重的发育障碍。随着基因分型和DNA测序成本的不断降低,使用高密度单核苷酸多态性(SNP)标记物进行非整倍性的临床诊断和对其原因进行生物医学研究正变得越来越普遍。因此,推论非整倍性来源的可靠,灵活且在计算上可行的方法至关重要。结果:我们提出了一种新方法TroX,用于使用来自三体体或受孕个体以及一个父母的高密度SNP标记分析人三体性数据。使用隐藏的马尔可夫模型,我们推断减数分裂错误的阶段(I或II)和发生非分离事件的个体,以及三体染色体上的交叉位置。该方法的一个新颖而重要的特征是它依靠来自先证者和仅一个亲本的数据,从而将实验成本降低了三分之一,并且可以使用更多的数据集。我们通过将其应用于模拟三重奏数据以及282个三重奏的基因型数据(包括一个21号染色体的三重体)来评估我们的方法。分析表明,即使只有一个亲代的数据可用,该方法还是高度可靠的。随着来自母亲和胎儿的DNA样本的可用性不断增加,诸如我们这样的方法的应用应该对非整倍性的遗传风险因素产生空前的见解。

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