ArticleTheoretical population biology2014
Within a sample from a population, the distribution of the number of descendants of a subsample's most recent common ancestor.
Article in Theoretical population biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- An efficient algorithm for generating the internal branches of a Kingman coalescent.Theoretical population biology · 2018Article
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1 author.
Funding
Abstract
Sample n individuals uniformly at random from a population, and then sample m individuals uniformly at random from the sample. Consider the most recent common ancestor (MRCA) of the subsample of m individuals. Let the subsample MRCA have j descendants in the sample (m ⩽ j ⩽ n). Under a Moran or coalescent model (and therefore under many other models), the probability that j = n is known. In this case, the subsample MRCA is an ancestor of every sampled individual, and the subsample and sample MRCAs are identical. The probability that j = m is also known. In this case, the subsample MRCA is an ancestor of no sampled individual outside the subsample. This article derives the complete distribution of j, enabling inferences from the corresponding p-value. The text presents hypothetical statistical applications pertinent to taxonomy (the gene flow between Neanderthals and anatomically modern humans) and medicine (the association of genetic markers with disease).
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