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Making unused data resources available for imprinting analyses by using new methods to uncover parent-of-origin effects in human and livestock

通过使用新方法揭示人类和牲畜的亲本效应，使未使用的数据资源可用于印记分析

基本信息

批准号：
418890112
负责人：
Dr. Inga Blunk
金额：
--
依托单位：
Institut für Genetik und Biometrie
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2018
资助国家：
德国
起止时间：
2017-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/418890112?language=en
关键词：
Making unused data resources available

项目摘要

The inactivation of alleles relative to their parental origin is called genomic imprinting. Imprinting is due to epigenetic mechanisms and its effects belong to the broader class of parent-of-origin effects. Imprinting is involved in the development of diseases and plays important roles in the expression of agriculturally important traits in livestock. In contrast to the vast range of epigenetic studies knowledge on imprinting is still limited. One reason for this deficiency is that the existing methods used for imprinting analyses impose special requirements regarding the structure of the data. Therefore, large amounts of the available data cannot be exploited, such as those collected routinely for disease registry or genetic evaluation purposes. Thus, the ultimate aim of the proposal is to develop new statistical methods based on preliminary research to make these data resources accessible for imprinting analyses. In particular, the focus will be on methods used for imprinting variance component analyses and for imprinted loci mapping experiments. The interdisciplinary application fields will be related to cancer and autoimmune disorders in humans, as well as conformation and reproduction traits in cattle and pigs. Hence, creating new methods to facilitate imprinting analyses using previously unusable data resources may provide novel insights and improve our knowledge of genomic imprinting.

等位基因相对于其亲本来源的失活称为基因组印记。印记是由于表观遗传机制和其影响属于更广泛的类的父母的原产地的影响。印记参与疾病的发展，并在家畜农业重要性状的表达中发挥重要作用。与广泛的表观遗传学研究相比，关于印记的知识仍然有限。这种缺陷的一个原因是，现有的方法用于印迹分析强加的特殊要求有关的数据结构。因此，大量的可用数据不能被利用，例如那些为疾病登记或遗传评估目的而常规收集的数据。因此，该提案的最终目的是在初步研究的基础上开发新的统计方法，使这些数据资源能够用于印记分析。特别是，重点将是用于印迹方差分量分析和印迹位点定位实验的方法。跨学科的应用领域将涉及人类的癌症和自身免疫性疾病，以及牛和猪的构象和繁殖性状。因此，创造新的方法，以促进印迹分析使用以前无法使用的数据资源可能会提供新的见解，并提高我们的基因组印迹的知识。