Computer systems and methods for subdividing a complex disease into component diseases
    1.
    发明授权
    Computer systems and methods for subdividing a complex disease into component diseases 有权
    将复杂疾病细分为成分疾病的计算机系统和方法

    公开(公告)号:US07653491B2

    公开(公告)日:2010-01-26

    申请号:US10515804

    申请日:2003-05-20

    IPC分类号: G06F19/00 G11C17/00 G06F15/00

    CPC分类号: G06F19/18 G06F19/20 G06F19/24

    摘要: A method for identifying a quantitative trait loci for a complex trait that is exhibited by a plurality of organisms in a population. The population is divided into a plurality of sub-populations using a classification scheme. Depending on what is known about the population, either a supervised or unsupervised classification is used. The classification scheme is derived from a plurality of cellular constituent measurements obtained from each organism in the population. For each sub-population in the plurality of sub-populations, a quantitative genetic analysis is performed on the sub-population in order to identify one or more quantitative trait loci for the complex trait.

    摘要翻译: 用于鉴定由群体中的多种生物体展现的复杂性状的数量性状位点的方法。 使用分类方案将群体分成多个子群体。 根据已知的人口,使用监督或无监督分类。 分类方案来源于从群体中的每个生物获得的多个细胞成分测量。 对于多个子群体中的每个子群体,对子群体进行定量遗传分析,以便鉴定复杂性状的一个或多个数量性状位点。

    Computer systems and methods for identifying genes and determining pathways associated with traits

    公开(公告)号:US07035739B2

    公开(公告)日:2006-04-25

    申请号:US10356857

    申请日:2003-02-03

    IPC分类号: G06F19/00 G11C17/00 G05B15/00

    摘要: A method for associating a gene with a trait exhibited by one or more organisms in a plurality of organisms from a species. A genetic marker map is constructed from a set of genetic markers associated with the plurality of organisms. For each gene in a plurality of genes, a quantitative trait locus analysis is performed using the genetic marker map and a quantitative trait. The quantitative trait locus analysis produces quantitative trait locus data. A quantitative trait comprises an expression statistic for a gene. The expression statistic for a gene is derived from a cellular constituent level that corresponds to the gene in each organism in the plurality of organisms. The quantitative trait locus data are clustered from each quantitative trait locus analysis to form a quantitative trait locus interaction map. Clusters of genes in the map are identified as a candidate pathway group. An expression cluster map is used to refine the candidate pathway group. Multivariate analysis is used to validate the candidate pathway group as a set of genes that are genetically interacting.