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家养动物复杂性状基因定位的统计分析和实验设计(英文) 被引量:2

Statistical Analysis and Experimental Design for Mapping Genes of Complex Traits in Domestic Animals
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摘要 复杂性状基因定位的研究是人类、动植物研究中的 1个热点领域。在畜禽的研究中 ,其目的是定位与生产性状、繁殖性状和疾病相关的基因。在人类中 ,复杂性状基因定位的研究具有极大的挑战性。尽管基因定位的结果积累得很快 ,但能得以确认的结果却很少。关于畜禽基因定位的研究结果同样也增长很快 ,目前在鸡、猪、奶牛等物种中几个大尺度的基因定位工作也正在开展中。虽然在不远的将来能够得到新的、可确信的结果 ,但是如何精确地理解这些复杂性状的基因仍然需要一定的时间。近来 ,复杂性状基因定位的方法已被用于通过基因表达的数据研究转录调节因子的定位工作中 ,这是基因定位研究中 1个新的领域。基因定位的统计分析和实验设计是基因定位研究中的关键性步骤 。 Gene mapping for complex traits has been an active and challenging research area in humans,agricultural and laboratory species.In domestic animals and poultry,the goal of gene mapping is to find genes associated with production,reproduction and health traits.In humans,gene mapping for complex diseases has been a significant challenge.Although gene mapping results are accumulating rapidly,confirmed results are scarce .In domestic animals,gene mapping results are also accumulating rapidly and several large scale mapping projects in chickens,swine,and dairy cattle are currently in progress.Although new and more reliable results can be expected in the near future,the precise understanding of genes underlying complex traits is still some distance away.Recently,the approach of mapping genes of complex traits has been applied to gene expression data to map transcription regulatory elements ,adding a new dimension to gene mapping.Statistical analysis of gene mapping data and experimental design are critical components of a gene mapping research.The purpose of this review article is to discuss current status as well as future directions and challenges in statistical analysis and experimental design for mapping genes of complex traits in domestic animals and poultry.
作者 Y Da
出处 《Acta Genetica Sinica》 SCIE CAS CSCD 北大核心 2003年第12期1183-1192,共10页
关键词 复杂性状 基因定位 家养动物 基因表达 complex trais gene mapping domestic animals gene expression
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  • 1Altmuller J, Palmer L J, Fischer G, Scherb H, Wjst M. Genomewide scans of complex human diseases : true linkage is hard to find. Am J Hum Genet ,2001,69:936 - 950.
  • 2Cheung V G, Spielman R S. The genetics of variation in gene expression. Nature Genetics Supplement ,2002,32 : 522 - 525.
  • 3Da Y, Garbe J, London N, Xu J. Linkage analysis using direct and indirect counting and relative efficiencies for codominant and dominant loci. J Animal Science ,2002,80:2528 -2539.
  • 4London N R, Garbe J R, Schmutz S M, Abrahamsen M S, Da Y. Linkage analysis for mapping genes of sex-influenced traits. Mammalian Genome, 2003,14 : 261 - 267.
  • 5Xu J, London N, Garbe J, Da Y. Bias in linkage analysis due to ignoring epistasis effects. In : Proc 7th World Cong Genet Appl Livest Prod.Montpellier, France, 2002,32:633 - 636.
  • 6Morton N E. Significance levels in complex inheritance. American Journal of Human Genetics , 1998,62:690 - 697.
  • 7Holmans P. Nonparametric linkage. In : Handbook of Statistical Genetics. Balding D J, Bishop M, Cannings C, Eds. John Wiley & Sons,Ltd. New York :2001.
  • 8Davis S, Weeks D E. Comparison of nonparametric statistics for detection in neclear families : single-marker evaluation. American Journal of Human Geneties, 1997,61 : 1431 - 1444.
  • 9Terwilliger J. Linkage analysis, model-based. In : Biostatistical genetics and genetic epidemiology. Elston R, Olson J, Palmer L, Eds. John Wiley & Sons, Ltd. New York :2002.
  • 10Pritchard J K, Przeworski M. Linkage disequilibrium in humans : models and data. Am J Hum Genet,2001,69:1 - 14.

同被引文献56

  • 1Shrimpton A E, Robertson A. The isolation of polygenic factors controlling bristle score in Drosophila melanogaster[J]. Genetics, 1988,118(3): 437-459.
  • 2Beckmarm J S, Soller M. Detection of linkage between marker loci affecting quantitative traits in crosses between segregating populations [J]. Theor Appl Genet, 1988,76(2): 228-236.
  • 3Darvasi A, Weinreb A, Minke V, et al. Detecting marker-QTL linkage and estimating QTL gene effect and map location using saturated genetic map [J]. Genetics, 1993,134(3): 943-951.
  • 4Xiong M, Guo S. Fine-scale mapping of quantitative trait loci using historical recombinations [J]. Genetics, 1997,145(4): 1201-1218.
  • 5Da Y, VanRaden P M, Li N, et al. Designs of resource families for mapping quantitative trait loci using genetic markers in domestic animals [J]. J Agri Biotech, 1999, 7(4): 31-48.
  • 6Hyne V, Kearsey M J, Pike D J, et al. QTL analysis-unrealiability and bias in estimation procedure [J]. Mol Breed,1995,1(4): 273-282.
  • 7Darvasi A, Soller M. A simple method to calculate resolving power and confidence interval of QTL map locations[J].Behavor Genetics, 1997, 27(2): 125-132.
  • 8Darvasi A, Soller M. Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus [J]. Theor Appl Genet, 1992,85(3): 353-359.
  • 9Graham J, Thompson E J. Disequlibrium likelihood for fine-scale mapping of a rare allele [J]. Am J Hum Genet,1998, 63(5): 1517-1530.
  • 10Slatkin M. Disequilibrium mapping of a quantitative-trait locus in an expanding population [J]. Am J Hum Genet,1999, 64(6): 1765-1773.

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