Evidence map›Paper›PMID 30641073›Full record

ArticleTheoretical population biology2019

Inductive determination of allele frequency spectrum probabilities in structured populations.

Marcy K Uyenoyama, Naoki Takebayashi, Seiji Kumagai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Theoretical population biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Wright's Hierarchical F-Statistics.Molecular biology and evolution · 2024
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marcy K UyenoyamaDepartment of Biology, Box 90338, Duke University, Durham, NC 27708-0338, USA. Electronic address: marcy@duke.edu.
Naoki TakebayashiDepartment of Biology and Wildlife, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775-7000, USA.
Seiji KumagaiDepartment of Biology, Box 90338, Duke University, Durham, NC 27708-0338, USA.

Funding

MATHEMATICAL POPULATION GENETICSR01GM037841 · NIGMS · DUKE UNIVERSITY · PI UYENOYAMA, MARCY K · 1986 to 2013
$1.5M
NIGMS NIH HHS R01 GM037841
6 · The paper itself

Abstract

We present a method for inductively determining exact allele frequency spectrum (AFS) probabilities for samples derived from a population comprising two demes under the infinite-allele model of mutation. This method builds on a labeled coalescent argument to extend the Ewens sampling formula (ESF) to structured populations. A key departure from the panmictic case is that the AFS conditioned on the number of alleles in the sample is no longer independent of the scaled mutation rate (θ). In particular, biallelic site frequency spectra, widely-used in explorations of genome-wide patterns of variation, depend on the mutation rate in structured populations. Variation in the rate of substitution across loci and through time may contribute to apparent distortions of site frequency spectra exhibited by samples derived from structured populations.

Indexed as

Models, GeneticMutation RateGene FrequencyGenetics, PopulationHumansModels, StatisticalProbabilityAllele frequency spectrumCoalescenceEwens sampling formulaInfinite-allele mutationPopulation structureSite frequency spectrum

Identifiers

PMID30641073
PMCPMC6836295

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.