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1. 发明申请

US20120220475A1 DNA Methylation Changes Associated with Major Psychosis 审中-公开
标题翻译： DNA甲基化变化与主要精神病相关
公开(公告)号：US20120220475A1
公开(公告)日：2012-08-30
申请号：US13337394
申请日：2011-12-27
申请人： Arturas PETRONIS , Jonathan MILL , James FLANAGAN , Sun-Chong WANG
发明人： Arturas PETRONIS , Jonathan MILL , James FLANAGAN , Sun-Chong WANG
IPC分类号： C40B30/04 , C40B40/06
CPC分类号： C12Q1/6883 , C12Q2600/154 , C40B30/00 , C40B40/06
摘要： The present invention provides a method of identifying one or more epigenetic markers associated with psychosis-associated diseases such as bipolar disease or schizophrenia, the method comprising a) obtaining a first group of samples comprising genomic DNA from a plurality of bipolar or schizophrenic subjects and a second group of samples comprising genomic DNA from a plurality of control subjects; b) performing DNA methylation analysis to determine methylation differences in one or more DNA regions between the first group and second group of samples, wherein a methylation difference in a DNA region is indicative of an epigenetic marker associated with bipolar disease or schizophrenia. The invention also provides one or more epigenetic markers associated with psychosis-associated diseases such as bipolar disease or schizophrenia.
摘要翻译：本发明提供了鉴定与精神病相关疾病如双相性精神障碍或精神分裂症相关的一种或多种表观遗传标记的方法，所述方法包括：a）获得包含来自多个双相或精神分裂症受试者的基因组DNA的第一组样品，第二组样本，其包含来自多个对照受试者的基因组DNA; b）进行DNA甲基化分析以确定第一组和第二组样品之间的一个或多个DNA区域的甲基化差异，其中DNA区域中的甲基化差异指示与双相性精神障碍或精神分裂症相关的表观遗传学标记。本发明还提供与精神病相关疾病如双相性精神障碍或精神分裂症相关的一种或多种表观遗传标记。

2. 发明申请

US20100234242A1 DNA Methylation Changes Associated with Major Psychosis 审中-公开
标题翻译： DNA甲基化变化与主要精神病相关
公开(公告)号：US20100234242A1
公开(公告)日：2010-09-16
申请号：US12524114
申请日：2008-01-23
申请人： Arturas Petronis , Jonathan Mill , James Flanagan , Sun-Chong Wang
发明人： Arturas Petronis , Jonathan Mill , James Flanagan , Sun-Chong Wang
IPC分类号： C40B30/06 , C12Q1/68 , C40B40/06 , C07D239/47 , C07H21/00
CPC分类号： C12Q1/6883 , C12Q2600/154 , C40B30/00 , C40B40/06
摘要： The present invention provides a method of identifying one or more epigenetic markers associated with psychosis-associated diseases such as bipolar disease or schizophrenia, the method comprising a) obtaining a first group of samples comprising genomic DNA from a plurality of bipolar or schizophrenic subjects and a second group of samples comprising genomic DNA from a plurality of control subjects; b) performing DNA methylation analysis to determine methylation differences in one or more DNA regions between the first group and second group of samples, wherein a methylation difference in a DNA region is indicative of an epigenetic marker associated with bipolar disease or schizophrenia. The invention also provides one or more epigenetic markers associated with psychosis-associated diseases such as bipolar disease or schizophrenia.
摘要翻译：本发明提供了鉴定与精神病相关疾病如双相性精神障碍或精神分裂症相关的一种或多种表观遗传标记的方法，所述方法包括：a）获得包含来自多个双相或精神分裂症受试者的基因组DNA的第一组样品，第二组样本，其包含来自多个对照受试者的基因组DNA; b）进行DNA甲基化分析以确定第一组和第二组样品之间的一个或多个DNA区域的甲基化差异，其中DNA区域中的甲基化差异指示与双相性精神障碍或精神分裂症相关的表观遗传学标记。本发明还提供与精神病相关疾病如双相性精神障碍或精神分裂症相关的一种或多种表观遗传标记。

3. 发明申请

US20090063376A1 RECONSTRUCTION OF GENE NETWORKS FROM TIME-SERIES MICROARRAY DATA 有权
标题翻译：从时间序列微观数据重建基因网络
公开(公告)号：US20090063376A1
公开(公告)日：2009-03-05
申请号：US12131162
申请日：2008-06-02
申请人： Sai-Ping Li , Sun-Chong Wang
发明人： Sai-Ping Li , Sun-Chong Wang
IPC分类号： G06F15/18 , G06N3/12
CPC分类号： G06F19/12 , G06F19/20 , G06F19/24
摘要： Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
摘要翻译：基于贝叶斯网络的方法，使用时序微阵列数据重建基因调控网络。特定的幂律函数用于计算时间点之间基因的联合概率。本发明公开了使用下坡单纯形算法来找到相关似然性的全局最大值。选择具有较高频率的弧以建立基因调控网络。可能将先验知识纳入候选基因网络，以加速搜索最佳网络。

4. 发明申请

US20050256652A1 Reconstruction of gene networks from time-series microarray data 审中-公开
标题翻译：从时序微阵列数据重建基因网络
公开(公告)号：US20050256652A1
公开(公告)日：2005-11-17
申请号：US10847094
申请日：2004-05-16
申请人： Sai-Ping Li , Sun-Chong Wang
发明人： Sai-Ping Li , Sun-Chong Wang
IPC分类号： C12Q1/68 , G01N33/48 , G01N33/50 , G06F19/00
CPC分类号： C12Q1/6837 , G16B5/00 , G16B25/00 , G16B40/00
摘要： Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
摘要翻译：基于贝叶斯网络的方法，使用时序微阵列数据重建基因调控网络。特定的幂律函数用于计算时间点之间基因的联合概率。本发明公开了使用下坡单纯形算法来找到相关似然性的全局最大值。选择具有较高频率的弧以建立基因调控网络。可能将先验知识纳入候选基因网络，以加速搜索最佳网络。

5. 发明授权

US08024277B2 Reconstruction of gene networks and calculating joint probability density using time-series microarray, and a downhill simplex method 有权
标题翻译：基因网络重建和使用时间序列微阵列计算联合概率密度，以及下坡单纯形法
公开(公告)号：US08024277B2
公开(公告)日：2011-09-20
申请号：US12131162
申请日：2008-06-02
申请人： Sai-Ping Li , Sun-Chong Wang
发明人： Sai-Ping Li , Sun-Chong Wang
IPC分类号： G06F17/00
CPC分类号： G06F19/12 , G06F19/20 , G06F19/24
摘要： Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
摘要翻译：基于贝叶斯网络的方法，使用时序微阵列数据重建基因调控网络。特定的幂律函数用于计算时间点之间基因的联合概率。本发明公开了使用下坡单纯形算法来找到相关似然性的全局最大值。选择具有较高频率的弧以建立基因调控网络。可能将先验知识纳入候选基因网络，以加速搜索最佳网络。

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