Developing new statistical approaches for finely spaced markers arising in the context of genome wide association studies

为全基因组关联研究中出现的精细间隔标记开发新的统计方法

• 批准号: G0802366/1
• 负责人: Anna-Jane Vine
• 金额: $ 35.5万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0802366%2F1
• 关键词: Developing; new; statistical; approaches; finely

Recently large volumes of genetic data have become available. It is possible to use these data to look for genetic differences between people with a certain disease and people without the disease. The aim of doing this is to find the genetic location of the potential cause of the disease. One way of doing this is to consider small segments of DNA called haplotypes and to construct plausible histories of how each haplotype in a sample arose from a common ancestor through evolutionary events. Our work could lead to an improved methodology for disease mapping in order to inform potential therapies.We also want to investigate genetic abnormalities which have an effect on human foetal development and the probability that a foetus will survive until it is born and we hope to identify previously unsuspected genes involved in this.Humans can have different numbers of copies of the same section of DNA. We want to investigate this phenomenon and write software to find instances of this. We also want to write software to assess whether having specific numbers of copies of such sections influences whether or not people are likely to have a particular disease.

最近，大量的基因数据已经出现。可以使用这些数据来寻找患有某种疾病的人和没有这种疾病的人之间的遗传差异。这样做的目的是找到疾病的潜在原因的遗传位置。一种方法是考虑称为单倍型的DNA小片段，并构建样本中每个单倍型如何通过进化事件从共同祖先产生的合理历史。我们的工作可能会改进疾病图谱的方法，从而为潜在的治疗方法提供信息。我们还希望研究影响人类胎儿发育的遗传异常，以及胎儿存活到出生的概率，我们希望确定以前未被怀疑的与此有关的基因。人类可以有不同数量的DNA相同部分的拷贝。我们想研究这种现象，并编写软件来找到这种情况。我们还想编写软件来评估拥有特定数量的此类切片副本是否会影响人们是否可能患有某种特定疾病。