Evidence map›Paper›PMID 32739241›Full record

ArticleJournal of theoretical biology2021

The probability distribution of the ancestral population size conditioned on the reconstructed phylogenetic tree with occurrence data.

Marc Manceau, Ankit Gupta, Timothy Vaughan, Tanja Stadler

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Estimating epidemic dynamics with genomic and time series data.Journal of the Royal Society, Interface · 2025
    Article
  3. Article
  4. Article
  5. Statistical Challenges in Tracking the Evolution of SARS-CoV-2.Statistical science : a review journal of the Institute of Mathematical Statistics · 2022
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Marc ManceauDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. Electronic address: marc.manceau@bsse.ethz.ch.
Ankit GuptaDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Timothy VaughanDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. Electronic address: tanja.stadler@bsse.ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We consider a homogeneous birth-death process with three different sampling schemes. First, individuals can be sampled through time and included in a reconstructed phylogenetic tree. Second, they can be sampled through time and only recorded as a point 'occurrence' along a timeline. Third, extant individuals can be sampled and included in the reconstructed phylogenetic tree with a fixed probability. We further consider that sampled individuals can be removed or not from the process, upon sampling, with fixed probability. We derive the probability distribution of the population size at any time in the past conditional on the joint observation of a reconstructed phylogenetic tree and a record of occurrences not included in the tree. We also provide an algorithm to simulate ancestral population size trajectories given the observation of a reconstructed phylogenetic tree and occurrences. This distribution can be readily used to draw inferences about the ancestral population size in the field of epidemiology and macroevolution. In epidemiology, these results will allow data from epidemiological case count studies to be used in conjunction with molecular sequencing data (yielding reconstructed phylogenetic trees) to coherently estimate prevalence through time. In macroevolution, it will foster the joint examination of the fossil record and extant taxa to reconstruct past biodiversity.

Indexed as

AlgorithmsFossilsHumansPhylogenyPopulation DensityProbabilityBirth-death processEpidemiologyFossilized birth-death modelMacroevolutionPhylogenetics

Identifiers

PMID32739241
PMCPMC7733867

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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.