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A renewal theory approach to IBD sharing
Shai Carmi1, Peter R Wilton2, John Wakeley2
1Department of Computer Science, Columbia University, New York, NY, 10027, USA.
This study analyzes identical-by-descent (IBD) sharing using mathematical models. It introduces a new renewal approximation for IBD segment lengths, improving demographic inference and genetic analyses.
Area of Science:
- Population Genetics
- Statistical Genetics
- Computational Biology
Background:
- Identical-by-descent (IBD) segments are crucial for understanding genetic relatedness and have applications in various genetic studies.
- Previous models for analyzing IBD sharing, such as Markovian approximations of the coalescent with recombination, have limitations.
Purpose of the Study:
- To provide a theoretical analysis of identical-by-descent (IBD) sharing using Markovian approximations and a novel renewal approximation.
- To derive new results for the number and fraction of shared IBD segments in the infinite-chromosome limit under the SMC' model.
- To explore the implications of IBD sharing distributions for demographic inference in populations with variable effective sizes.
Main Methods:
- Theoretical analysis of the IBD process along the chromosome using Markovian models (SMC/SMC').
- Introduction and justification of a new renewal approximation model where successive segment lengths are independent.
- Derivation of expressions for the distribution of shared segments and the fraction of the chromosome in shared segments using renewal theory, particularly in Laplace space.
Main Results:
- New results derived for the mean number and fraction of shared IBD segments longer than a cutoff under the SMC' model in the infinite-chromosome limit.
- Expressions derived for the distribution of the number of shared segments and the fraction of the chromosome in shared segments.
- Generalization of results to populations with variable effective sizes.
Conclusions:
- The renewal approximation provides a new framework for studying IBD segment lengths.
- The derived theoretical results enhance the ability to perform demographic inference and analyze genetic data.
- The findings are applicable to a broader range of population genetic scenarios, including those with changing population sizes.
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