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The human pseudoautosomal regions: a review for genetic epidemiologists.

机译:人类假常染色体区域:遗传流行病学家的综述。

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Two intervals of sequence identity at the tips of X and Y chromosomes, the human pseudoautosomal regions PAR1 and PAR2, have drawn interest from researchers in human genetics, cytogenetics, and evolutionary biology. However, they have been widely ignored in linkage and association studies. The pseudoautosomal regions (PARs) pair and recombine during meiosis like autosomes, but the recombination activity in PAR1 is extremely different between sexes. In men, it exhibits the highest recombination frequencies of the genome. Conflicting genetic maps of this region have been estimated by using three-generation pedigrees, sperm typing, and by using haplotypes from single nucleotide polymorphisms. Male genetic map lengths in the literature vary, and linkage disequilibrium has not been analyzed in detail. We review existing tools like genetic and physical maps, linkage disequilibrium methods, linkage and association analysis, implemented statistical methods, and their suitability for PARs. For multipoint linkage analysis, sex specificity must be indicated twice, first using sex-specific maps, and second by considering the sex-specific pseudoautosomal inheritance pattern. Currently, microsatellite panels and single nucleotide polymorphism chips do not contain sufficient numbers of markers in PAR1 and PAR2. The number of markers in PAR1, needed in indirect association studies, should be much larger than for autosomal regions alike in size, since linkage disequilibrium is very low. For genome-wide studies, it is essential to include pseudoautosomal markers since such expensive studies cannot afford to oversee pseudoautosomal linkage or association. This drawback could be solved with a sufficient number of markers, statistical methods that are adopted for the PARs, and their integration into softwares.
机译:X和Y染色体尖端的两个序列同一性区间,即人假常染色体区PAR1和PAR2,引起了人类遗传学,细胞遗传学和进化生物学研究人员的兴趣。但是,它们在关联和关联研究中被广泛忽略。伪常染色体区域(PAR)像减数分裂一样在减数分裂过程中配对并重组,但是PAR1中的重组活性在性别之间极为不同。在男性中,它表现出基因组的最高重组频率。已经通过使用三代谱系,精子分型和使用来自单核苷酸多态性的单倍型来估计该区域的遗传图谱。男性遗传图谱的长度在文献中有所不同,连锁不平衡现象尚未得到详细分析。我们回顾了现有的工具,例如遗传图谱和物理图谱,连锁不平衡方法,连锁和关联分析,已实施的统计方法及其对PAR的适用性。对于多点链接分析,必须两次指定性别特异性,首先使用性别特定的图,其次通过考虑性别特定的伪常染色体遗传模式。当前,微卫星面板和单核苷酸多态性芯片在PAR1和PAR2中没有足够数量的标记。间接关联研究中需要的PAR1标记数量应比常染色体区域大得多,因为连锁不平衡非常小。对于全基因组研究,必须包括假常染色体标记,因为此类昂贵的研究无法监督假常染色体的连接或缔合。可以使用足够数量的标记,用于PAR的统计方法以及将其集成到软件中来解决此缺点。

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