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通过全基因组关联研究绘制恶性疟原虫的耐药基因图谱。

Mapping drug resistance genes in Plasmodium falciparum by genome-wide association.

作者信息

Anderson Tim J C

机构信息

Southwest Foundation for Biomedical Research, San Antonio, TX 78248, USA.

出版信息

Curr Drug Targets Infect Disord. 2004 Mar;4(1):65-78. doi: 10.2174/1568005043480943.

Abstract

When alleles conferring drug resistance spread through a population of malaria parasites, they leave characteristic "scars" in the parasite genome. Flanking neutral polymorphisms "hitchhike" to high frequency with the resistance mutation, generating deep valleys of reduced variation and broad swathes of elevated linkage disequilibrium around the resistance locus. We can systematically search the genome for these scars by genotyping polymorphic marker loci at intervals throughout the genome of P. falciparum, and use them as signposts for locating drug resistance genes. In this review I outline the rational behind this approach to genetic mapping. I describe key features of P. falciparum population biology, such as recombination rate, inbreeding, and selection intensity that influence the size of genomic regions affected by selection and the choice of study population. I discuss suitable genetic markers, study designs, and statistical approaches to data analysis. Finally, to demonstrate the utility of the approach I describe two proof-of-principle studies documenting patterns of genetic variability around known drug resistance genes.

摘要

当赋予耐药性的等位基因在疟原虫种群中传播时,它们会在寄生虫基因组中留下特征性“疤痕”。侧翼中性多态性会随着耐药性突变“搭便车”至高频,在耐药性位点周围产生变异减少的深谷以及连锁不平衡升高的大片区域。我们可以通过对恶性疟原虫基因组中各个间隔的多态性标记位点进行基因分型,系统地在基因组中搜索这些疤痕,并将它们用作定位耐药基因的路标。在这篇综述中,我概述了这种基因定位方法背后的原理。我描述了恶性疟原虫群体生物学的关键特征,如重组率、近亲繁殖和选择强度,这些特征会影响受选择影响的基因组区域大小以及研究群体的选择。我讨论了合适的遗传标记、研究设计和数据分析的统计方法。最后,为了证明该方法的实用性,我描述了两项原理验证研究,记录了已知耐药基因周围的遗传变异模式。

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