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    Atherosclerosis genes and related reagents and methods of use thereof
    3.
    发明申请
    Atherosclerosis genes and related reagents and methods of use thereof 审中-公开
    动脉粥样硬化基因及相关试剂及其使用方法

    公开(公告)号：US20070253901A1

    公开(公告)日：2007-11-01

    申请号：US11412437

    申请日：2006-04-27

    申请人： David Deng ,  Anya Tsalenko ,  Amir Ben-Dor ,  Zohar Yakhini ,  Thomas Quertermous ,  Euan Ashley ,  Eugene Yang ,  Raymond Tabibiazar ,  Philip Tsao

    发明人： David Deng ,  Anya Tsalenko ,  Amir Ben-Dor ,  Zohar Yakhini ,  Thomas Quertermous ,  Euan Ashley ,  Eugene Yang ,  Raymond Tabibiazar ,  Philip Tsao

    IPC分类号： A61K51/00 ,  A61K49/10 ,  C07K16/46 ,  C07K14/54

    CPC分类号： G01N33/6893 ,  G01N2800/323

    摘要： The invention provides genes (DEA genes) that are differentially expressed in atherosclerotic lesions and polypeptides encoded by these genes. The invention provides compositions comprising a targeting agent conjugated to a functional moiety, wherein the targeting agent selectively binds to a polypeptide encoded by one a DEA gene. The functional moiety can be an imaging agent, therapeutic agent, etc. The invention further provides methods for providing diagnostic or prognostic information related to atherosclerosis involving detecting expression or activity of an expression product of one or more of the DEA genes. The invention further provides therapeutic methods comprising administering to a subject a composition comprising a targeting agent conjugated to a functional moiety that binds selectively binds to a polypeptide encoded by a DEA gene.

    摘要翻译： 本发明提供在动脉粥样硬化病变和由这些基因编码的多肽中差异表达的基因（DEA基因）。 本发明提供了包含与功能部分缀合的靶向剂的组合物，其中所述靶向剂选择性地结合由DEA基因之一编码的多肽。 功能部分可以是显像剂，治疗剂等。本发明还提供了提供涉及检测一种或多种DEA基因的表达产物的表达或活性的动脉粥样硬化相关的诊断或预后信息的方法。 本发明进一步提供治疗方法，包括向受试者施用包含与功能性部分缀合的靶向试剂的组合物，其结合选择性结合由DEA基因编码的多肽。

    Network-based approaches to identifying significant molecules based on high-throughput data analysis
    4.
    发明申请
    Network-based approaches to identifying significant molecules based on high-throughput data analysis 审中-公开
    基于网络的基于高通量数据分析识别重要分子的方法

    公开(公告)号：US20070174019A1

    公开(公告)日：2007-07-26

    申请号：US11264259

    申请日：2005-10-31

    申请人： Aditya Vailaya ,  Allan Kuchinsky ,  Euan Ashley ,  Jennifer King ,  Rossella Ferrara ,  Thomas Quertermous

    发明人： Aditya Vailaya ,  Allan Kuchinsky ,  Euan Ashley ,  Jennifer King ,  Rossella Ferrara ,  Thomas Quertermous

    IPC分类号： G06F17/18

    CPC分类号： G16B5/00 ,  G16B20/00

    摘要： Methods, systems and computer readable media for network-based identification of significant molecules, for which at least one biological network is provided to include significant molecules to be identified. A node in the network is identified. A member-specific sub-network containing nodes connected to the identified node is identified for L levels of nearest neighbors, wherein L is a positive integer, and a connectivity score is calculated for the molecule represented by the identified node based on significance scores of each node contained in the member-specific sub-network. These steps are repeated for other nodes in the network. Methods, systems and computer readable media for network-based identification of significant molecules, for which at least one biological network is provided to include significant molecules to be identified, a data set including data values characterizing molecules experimented on is provided, and an interesting list of molecules is provided as a subset of the molecules from the dataset, the interesting list including significance scores for the molecules in the list. Such identification includes identifying a node in the network; identifying a member-specific sub-network containing nodes connected to the identified node for L levels of nearest neighbors, wherein L is a positive integer; extracting the member-specific sub-network from the network; and repeating these steps for each of the other nodes in the network that corresponds to a molecule in the interesting list.

    摘要翻译： 用于基于网络识别重要分子的方法，系统和计算机可读介质，其中提供至少一个生物网络以包括要识别的重要分子。 识别网络中的节点。 针对L个最近邻的L个级别识别包含连接到所识别节点的节点的成员特定子网络，其中L是正整数，并且基于由所识别的节点表示的分子计算连通性得分，基于每个 节点包含在成员特定子网中。 对网络中的其他节点重复这些步骤。 提供用于基于网络识别显着分子的方法，系统和计算机可读介质，其中提供至少一个生物网络以包括要识别的重要分子，提供包括表征实验分子的数据值的数据集，以及有趣的列表 的分子作为来自数据集的分子的子集提供，有趣的列表包括列表中分子的显着性得分。 这种识别包括识别网络中的节点; 识别包含连接到所识别的节点的节点的成员特定子网络用于最近邻的L级，其中L是正整数; 从网络中提取成员专用子网; 并且对于与有趣列表中的分子相对应的网络中的每个其他节点重复这些步骤。

    Phased Whole Genome Genetic Risk In A Family Quartet
    8.
    发明申请
    Phased Whole Genome Genetic Risk In A Family Quartet 审中-公开
    家族四重奏的基因全基因组遗传风险

    公开(公告)号：US20130073217A1

    公开(公告)日：2013-03-21

    申请号：US13445923

    申请日：2012-04-13

    申请人： Frederick Dewey ,  Euan Ashley

    发明人： Frederick Dewey ,  Euan Ashley

    IPC分类号： G06F19/24 ,  G06F19/18

    CPC分类号： G06F19/12 ,  G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  G06N5/02

    摘要： In an embodiment of the present invention, three novel human reference genome sequences were developed based on the most common population-specific DNA sequence (“major allele”). Methods were developed for their integration into interpretation pipelines for highthroughput whole genome sequencing.

    摘要翻译： 在本发明的一个实施方案中，基于最常见的群体特异性DNA序列（主要等位基因）开发出三种新的人参照基因组序列。 开发了将其整合到用于高通量全基因组测序的解释管道中的方法。