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Simulating Pedigrees Ascertained for Multiple Disease-Affected Relatives

Christina Nieuwoudt, Samantha J. Jones, Angela Brooks-Wilson, Jinko Graham
doi: https://doi.org/10.1101/234153
Christina Nieuwoudt
1Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, Canada.
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Samantha J. Jones
2Canada’s Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, 675 W 10th Ave, V5Z 1L3, Vancouver, Canada.
3Department of Medical Genetics, University of British Columbia, Vancouver, Canada.
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Angela Brooks-Wilson
2Canada’s Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, 675 W 10th Ave, V5Z 1L3, Vancouver, Canada.
4Department of Biomedical Physiology and Kinesiology, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, Canada.
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Jinko Graham
1Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, Canada.
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  • For correspondence: jgraham@sfu.ca
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Abstract

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.

Footnotes

  • Competing interests The authors declare they have no competing interests.

  • List of Abbreviations

    GWAS
    genome-wide association studies
    IBD
    identity by descent
    NGS
    next-generation sequencing
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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    Posted September 24, 2018.
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    Simulating Pedigrees Ascertained for Multiple Disease-Affected Relatives
    Christina Nieuwoudt, Samantha J. Jones, Angela Brooks-Wilson, Jinko Graham
    bioRxiv 234153; doi: https://doi.org/10.1101/234153
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    Simulating Pedigrees Ascertained for Multiple Disease-Affected Relatives
    Christina Nieuwoudt, Samantha J. Jones, Angela Brooks-Wilson, Jinko Graham
    bioRxiv 234153; doi: https://doi.org/10.1101/234153

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