Evidence map›Paper›PMID 31699776›Full record

ArticleG3 (Bethesda, Md.)2020

Inference of Historical Population-Size Changes with Allele-Frequency Data.

Michael Lynch, Bernhard Haubold, Peter Pfaffelhuber, Takahiro Maruki

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Evolutionary Genomics of a Subdivided Species.Molecular biology and evolution · 2022
    Article
  8. Article
  9. Article
  10. 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

4 authors.

Michael LynchBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85287, mlynch11@asu.edu.
Bernhard HauboldDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön 24306, Germany, and.
Peter PfaffelhuberFaculty of Mathematics and Physics, University of Freiburg, Freiburg 79104, Germany.
Takahiro MarukiBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85287.

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
Population Genomics of Daphnia pulexR01GM101672 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI LYNCH, MICHAEL R · 2013 to 2016
$2.3M
NIGMS NIH HHS R01 GM101672NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

With up to millions of nearly neutral polymorphisms now being routinely sampled in population-genomic surveys, it is possible to estimate the site-frequency spectrum of such sites with high precision. Each frequency class reflects a mixture of potentially unique demographic histories, which can be revealed using theory for the probability distributions of the starting and ending points of branch segments over all possible coalescence trees. Such distributions are completely independent of past population history, which only influences the segment lengths, providing the basis for estimating average population sizes separating tree-wide coalescence events. The history of population-size change experienced by a sample of polymorphisms can then be dissected in a model-flexible fashion, and extension of this theory allows estimation of the mean and full distribution of long-term effective population sizes and ages of alleles of specific frequencies. Here, we outline the basic theory underlying the conceptual approach, develop and test an efficient statistical procedure for parameter estimation, and apply this to multiple population-genomic datasets for the microcrustacean

Indexed as

BiomassModels, GeneticPolymorphism, Single NucleotideAnimalsDaphniacoalescentDaphniademographic historyeffective population sizesite-frequency spectrum

Identifiers

PMID31699776
PMCPMC6945023

What OpenQuestion holds

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Registered trials

None linked

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.