Evidence map›Paper›PMID 29132923›Full record

ArticleTheoretical population biology2018

On the joint distribution of tree height and tree length under the coalescent.

Ilana M Arbisser, Ethan M Jewett, Noah A Rosenberg

Abstract read
In one paragraph

Article in Theoretical population biology, 2018. 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.

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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.

Ilana M ArbisserDepartment of Biology, Stanford University, Stanford, CA 94305, USA. Electronic address: ilanama@stanford.edu.
Ethan M JewettDepartments of Electrical Engineering & Computer Science and Statistics, University of California, Berkeley, CA 94720, USA.
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, CA 94305, USA.

Funding

Population genetics for large-scale sequencing studies of diverse populationsR01HG005855 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Noah Rosenberg, Paul A Scheet · 2010 to 2026
$5.8M
Mathematical and computational analysis for species tree inferenceR01GM117590 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI RHODES, JOHN · 2015 to 2018
$1.5M
NHGRI NIH HHS R01 HG005855NIGMS NIH HHS R01 GM117590
6 · The paper itself

Abstract

Many statistics that examine genetic variation depend on the underlying shapes of genealogical trees. Under the coalescent model, we investigate the joint distribution of two quantities that describe genealogical tree shape: tree height and tree length. We derive a recursive formula for their exact joint distribution under a demographic model of a constant-sized population. We obtain approximations for the mean and variance of the ratio of tree height to tree length, using them to show that this ratio converges in probability to 0 as the sample size increases. We find that as the sample size increases, the correlation coefficient for tree height and length approaches (π

Indexed as

Genetics, PopulationModels, GeneticAlgorithmsComputer SimulationDemographyGenetic VariationHumansPedigreePopulation DensityPopulation GrowthProbabilityMigrationPopulation growthTime to the most recent common ancestor

Identifiers

PMID29132923
PMCPMC5945353

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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.