模拟多个患病亲属的家谱。

Q2 Decision Sciences
Source Code for Biology and Medicine Pub Date : 2018-10-15 eCollection Date: 2018-01-01 DOI:10.1186/s13029-018-0069-6
Christina Nieuwoudt, Samantha J Jones, Angela Brooks-Wilson, Jinko Graham
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引用次数: 4

摘要

背景:研究确定家庭中有多个亲属受疾病影响,可用于从下一代测序数据中识别因果关系,罕见变异。结果:我们提出了R包simmrvpedigree,它允许研究人员模拟在多个受影响亲属的基础上确定的谱系。通过将确定过程纳入模拟,simmrvpedigree使研究人员能够更好地了解受影响个体之间的家庭关系模式和疾病发病年龄。结论:通过模拟,我们表明,与散发疾病相比,分离罕见疾病变异的家庭成员数量更多,关系更紧密。我们还表明,家庭确定过程可以导致发病年龄的明显预期。最后,我们使用模拟来深入了解确定家庭分离因果变量的比例限制。simmrvpedigree应该是有用的研究者寻求深入了解基于家庭的研究设计通过模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simulating pedigrees ascertained for multiple disease-affected relatives.

Simulating pedigrees ascertained for multiple disease-affected relatives.

Simulating pedigrees ascertained for multiple disease-affected relatives.

Simulating pedigrees ascertained for multiple disease-affected relatives.

Background: Studies that ascertain families containing multiple relatives affected by disease can be useful for identification of causal, rare variants from next-generation sequencing data.

Results: We present the R package SimRVPedigree, which allows researchers to simulate pedigrees ascertained on the basis of multiple, affected relatives. By incorporating the ascertainment process in the simulation, SimRVPedigree allows researchers to better understand the within-family patterns of relationship amongst affected individuals and ages of disease onset.

Conclusions: Through simulation, we show that affected members of a family segregating a rare disease variant tend to be more numerous and cluster in relationships more closely than those for sporadic disease. We also show that the family ascertainment process can lead to apparent anticipation in the age of onset. Finally, we use simulation to gain insight into the limit on the proportion of ascertained families segregating a causal variant. SimRVPedigree should be useful to investigators seeking insight into the family-based study design through simulation.

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来源期刊
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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