Nieuwoudt Christina, Jones Samantha J, Brooks-Wilson Angela, Graham Jinko
1Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, Canada.
2Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, 675 W 10th Ave, V5Z 1L3, Vancouver, Canada.
Source Code Biol Med. 2018 Oct 15;13:2. doi: 10.1186/s13029-018-0069-6. eCollection 2018.
Studies that ascertain families containing multiple relatives affected by disease can be useful for identification of causal, rare variants from next-generation sequencing data.
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.
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.
确定包含多个患病亲属的家系的研究,对于从下一代测序数据中识别因果性罕见变异可能是有用的。
我们展示了R软件包SimRVPedigree,它允许研究人员模拟基于多个患病亲属确定的家系。通过在模拟中纳入确定过程,SimRVPedigree使研究人员能够更好地理解患病个体之间的家庭内部关系模式以及疾病发病年龄。
通过模拟,我们表明,与散发性疾病相比,分离罕见疾病变异的家系中的患病成员往往更多,并且在亲属关系中聚集得更紧密。我们还表明,家系确定过程可能导致发病年龄出现明显的遗传早现现象。最后,我们利用模拟来深入了解分离因果变异的确定家系比例的限度。SimRVPedigree对于寻求通过模拟深入了解基于家系的研究设计的研究人员应该是有用的。