ArticleJournal of mathematical biology2018
On the number of siblings and p-th cousins in a large population sample.
Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- From Nuisance to Signal: Leveraging Close Relatives in Biobank-Scale Demographic Inference.bioRxiv : the preprint server for biology · 2026Article
- Limitations of principal components in quantitative genetic association models for human studies.eLife · 2023Article
- Rapid detection of identity-by-descent tracts for mega-scale datasets.Nature communications · 2021Article
- Accounting for long-range correlations in genome-wide simulations of large cohorts.PLoS genetics · 2020Article
- RaPID: ultra-fast, powerful, and accurate detection of segments identical by descent (IBD) in biobank-scale cohorts.Genome biology · 2019Article
- Consumer genomics will change your life, whether you get tested or not.Genome biology · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The number of individuals in a random sample with close relatives in the sample is a quantity of interest when designing Genome Wide Association Studies and other cohort based genetic, and non-genetic, studies. In this paper, we develop expressions for the distribution and expectation of the number of p-th cousins in a sample from a population of size N under two diploid Wright-Fisher models. We also develop simple asymptotic expressions for large values of N. For example, the expected proportion of individuals with at least one p-th cousin in a sample of K individuals, for a diploid dioecious Wright-Fisher model, is approximately [Formula: see text]. Our results show that a substantial fraction of individuals in the sample will have at least a second cousin if the sampling fraction (K / N) is on the order of [Formula: see text]. This confirms that, for large cohort samples, relatedness among individuals cannot easily be ignored.
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