A 2D crossover–based map of the human X chromosome as a model for map integration

IF 29 1区 生物学 Q1 GENETICS & HEREDITY Nature genetics Pub Date : 1995-03-01 DOI:10.1038/ng0395-261
Pamela R. Fain, Edward N. Kort, Phillip F. Chance, Kim Nguyen, Douglas F. Redd, Michael J. Econs, David F. Barker
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引用次数: 39

Abstract

We have contructed a two–dimensional map of 243 markers on the X chromosome. The average distance between markers ordered by two recombinants is 5.4 centiMorgans(cM), which is reduced to 3.2 cM using a less stringent criterion of one recombinant. Map resolution is enhanced by replacing the usual reference marker format with a 2D format, and the two–recombinant rule is more conservative than the lod 3.0 criterion for order. Taken together, crossover mapping and the 2D format produces maps with greater reliability and higher resolution than maps constructed using currently accepted standards. This first high–density crossover–based map of an entire human chromosome provides a model for integrating physical and genetic maps.
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基于二维交叉的人类 X 染色体图谱作为图谱整合模型
我们绘制了 X 染色体上 243 个标记的二维图谱。由两个重组体排序的标记之间的平均距离为 5.4 厘摩尔(cM),而使用一个重组体这一较宽松的标准,则可将这一距离缩小到 3.2 厘摩尔。用二维格式取代通常的参考标记格式后,地图分辨率得到了提高,而且两个重组体规则比 lod 3.0 标准的顺序更为保守。综合来看,交叉制图和二维格式产生的图谱比使用当前公认标准构建的图谱具有更高的可靠性和分辨率。这是第一张基于交叉的全人类染色体高密度图谱,为整合物理图谱和基因图谱提供了一个模型。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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