Identity-by-descent segments in large samples

If two haplotypes share the same alleles for an extended gene tract, these haplotypes are likely to be derived identical-by-descent from a recent common ancestor. Identity-by-descent segment lengths are correlated via unobserved ancestral tree and recombination processes, which commonly presents challenges to the derivation of theoretical results in population genetics. We show that the proportion of detectable identity-by-descent segments around a locus is normally distributed when the sample size and the scaled population size are large. We generalize this central limit theorem to cover flexible demographic scenarios, multi-way identity-by-descent segments, and multivariate identity-by-descent rates. The regularity conditions on sample size and scaled population size are unlikely to hold in genetic data from real populations, but provide intuition for when the Gaussian distribution may be a reasonable approximate model for the IBD rate. We use efficient simulations to study the distributional behavior of the detectable identity-by-descent rate. One consequence of non-normality in finite samples is that a genome-wide scan looking for excess identity-by-descent rates may be subject to anti-conservative control of family-wise error rates.

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Publication Details

Journal
Theoretical Population Biology
Published
2025-07-05
DOI
https://doi.org/10.1016/j.tpb.2025.06.003
Citations
4
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
7.27

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article

Identity-by-descent segments in large samples

E. A. Thompson, Seth D Temple
4 citations
Theoretical Population Biology
Genetic and phenotypic traits in livestock
7.27
article

Identity-by-descent segments in large samples

E. A. Thompson, Seth D Temple
article en
4 citations

Abstract

If two haplotypes share the same alleles for an extended gene tract, these haplotypes are likely to be derived identical-by-descent from a recent common ancestor. Identity-by-descent segment lengths are correlated via unobserved ancestral tree and recombination processes, which commonly presents challenges to the derivation of theoretical results in population genetics. We show that the proportion of detectable identity-by-descent segments around a locus is normally distributed when the sample size and the scaled population size are large. We generalize this central limit theorem to cover flexible demographic scenarios, multi-way identity-by-descent segments, and multivariate identity-by-descent rates. The regularity conditions on sample size and scaled population size are unlikely to hold in genetic data from real populations, but provide intuition for when the Gaussian distribution may be a reasonable approximate model for the IBD rate. We use efficient simulations to study the distributional behavior of the detectable identity-by-descent rate. One consequence of non-normality in finite samples is that a genome-wide scan looking for excess identity-by-descent rates may be subject to anti-conservative control of family-wise error rates.

Theoretical Population BiologyVol. 165
University of Washington (US), University of Michigan (US)
U.S. Department of Defense, University of Washington, National Institutes of Health, National Defense Science and Engineering Graduate, National Human Genome Research Institute
Reduced inequalities
Openalex Percentile: Top 3%
Genetic and phenotypic traits in livestock
7.27
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Identity-by-descent segments in large samples — E. A. Thompson, Seth D Temple · Theoretical Population Biology (2025) | TGRS Research Map | TGRS