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    METHOD FOR SELECTING STATISTICALLY VALIDATED CANDIDATE GENES
    1.
    发明申请
    METHOD FOR SELECTING STATISTICALLY VALIDATED CANDIDATE GENES 有权
    选择统计证实候选基因的方法

    公开(公告)号：US20100204921A1

    公开(公告)日：2010-08-12

    申请号：US12367045

    申请日：2009-02-06

    申请人： Venkata Krishna Kishore ,  Zhigang Guo ,  Min Li ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Joseph Dallas Clarke, V ,  Joseph Byrum

    发明人： Venkata Krishna Kishore ,  Zhigang Guo ,  Min Li ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Joseph Dallas Clarke, V ,  Joseph Byrum

    IPC分类号： G06F19/00

    CPC分类号： G06F19/18 ,  G06F19/24

    摘要： Provided herein are methods for evaluating associations between candidate genes and a trait of interest in a population. The methods include a combination of genome-wide association analysis and one or more of nested association mapping (NAM), expression QTL analysis (eQTL), and allele epistastic analysis (AEA). Markers are selected or prioritized if they are shown to be positively-correlated with a trait of interest using GWA and a combination of one or both of NAM and eQTL. Also provided are models for evaluating the association between a candidate marker and a trait in a nested population of organisms. These methods include single marker regression and multiple marker regression models. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, as genetic markers for constructing linkage maps, for gene discovery, for identifying genes contributing to a trait of interest, and for generating transgenic organisms having a desired trait.

    摘要翻译： 本文提供了评估候选基因与群体中感兴趣的性状之间的关联的方法。 这些方法包括全基因组关联分析和嵌套关联定位（NAM），表达QTL分析（eQTL）和等位基因分析（AEA）中的一个或多个的组合。 如果使用GWA和NAM和eQTL中的一个或两个的组合显示与感兴趣的特征呈正相关的标记被选择或优先化。 还提供了用于评估候选标记与嵌套生物群体中的性状之间的关联的模型。 这些方法包括单标记回归和多标记回归模型。 使用本发明的方法鉴定的标记物可用于标记辅助育种和选择，作为用于构建连锁图谱，用于基因发现，用于鉴定有助于感兴趣性状的基因以及产生具有所需性状的转基因生物的遗传标记。

    Method for selecting statistically validated candidate genes
    2.
    发明授权
    Method for selecting statistically validated candidate genes 有权
    选择统计学验证的候选基因的方法

    公开(公告)号：US08170805B2

    公开(公告)日：2012-05-01

    申请号：US12367045

    申请日：2009-02-06

    申请人： Venkata Krishna Kishore ,  Zhigang Guo ,  Min Li ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Joseph Dallas Clarke, V ,  Joseph Byrum

    发明人： Venkata Krishna Kishore ,  Zhigang Guo ,  Min Li ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Joseph Dallas Clarke, V ,  Joseph Byrum

    IPC分类号： C12Q1/68 ,  G01N33/48 ,  G06G7/58

    CPC分类号： G06F19/18 ,  G06F19/24

    摘要： Provided herein are methods for evaluating associations between candidate genes and a trait of interest in a population. The methods include a combination of genome-wide association analysis and one or more of nested association mapping (NAM), expression QTL analysis (eQTL), and allele epistastic analysis (AEA). Markers are selected or prioritized if they are shown to be positively-correlated with a trait of interest using GWA and a combination of one or both of NAM and eQTL. Also provided are models for evaluating the association between a candidate marker and a trait in a nested population of organisms. These methods include single marker regression and multiple marker regression models. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, as genetic markers for constructing linkage maps, for gene discovery, for identifying genes contributing to a trait of interest, and for generating transgenic organisms having a desired trait.

    摘要翻译： 本文提供了评估候选基因与群体中感兴趣的性状之间的关联的方法。 这些方法包括全基因组关联分析和嵌套关联定位（NAM），表达QTL分析（eQTL）和等位基因分析（AEA）中的一个或多个的组合。 如果使用GWA和NAM和eQTL中的一个或两个的组合显示与感兴趣的特征呈正相关的标记被选择或优先化。 还提供了用于评估候选标记与嵌套生物群体中的性状之间的关联的模型。 这些方法包括单标记回归和多标记回归模型。 使用本发明的方法鉴定的标记物可用于标记辅助育种和选择，作为用于构建连锁图谱，用于基因发现的遗传标记，用于鉴定有助于感兴趣的性状的基因以及产生具有所需性状的转基因生物。

    STATISTICAL VALIDATION OF CANDIDATE GENES
    5.
    发明申请
    STATISTICAL VALIDATION OF CANDIDATE GENES 审中-公开
    候选基因的统计验证

    公开(公告)号：US20100145624A1

    公开(公告)日：2010-06-10

    申请号：US12328689

    申请日：2008-12-04

    申请人： Venkata Krishna Kishore ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Nicolas Federico Martin

    发明人： Venkata Krishna Kishore ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Nicolas Federico Martin

    IPC分类号： G06F19/00

    CPC分类号： G16B20/00 ,  G16B40/00

    摘要： Provided herein are methods for evaluating associations between candidate markers and a trait of interest in a plant population. In various embodiments, the plant population is a breeding population, particularly early stage breeding populations. The methods include obtaining a genotypic value for candidate markers and correlating the marker with the trait. Various association models can be used to evaluate the association, and include statistical methods relevant to the structure of plant breeding populations. Population structure may be accounted for in the association models by using Principle Component Analysis. Further provided is a novel statistical approach for association mapping in early stage breeding materials using a transmission disequilibrium based methodology. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, for constructing genetic linkage maps, to identify genes contributing to a trait of interest, and for generating transgenic plants having a desired trait.

    摘要翻译： 本文提供了用于评估候选标记与植物群体中感兴趣的性状之间的关联的方法。 在各种实施方案中，植物群体是育种群体，特别是早期育种群体。 所述方法包括获得候选标记的基因型值并将标记与性状相关联。 可以使用各种关联模型来评估关联，并且包括与植物育种种群结构相关的统计学方法。 人口结构可以通过使用主成分分析在关联模型中加以考虑。 进一步提供了一种用于使用基于传输不平衡的方法的早期育种材料中的关联定位的新颖的统计方法。 使用本发明的方法鉴定的标记物可用于标记辅助育种和选择，用于构建遗传连锁图谱，鉴定有助于感兴趣性状的基因以及产生具有期望性状的转基因植物。