Evidence map›Paper›PMID 24787620›Full record

ArticleGenome biology and evolution2014

Population-genetic inference from pooled-sequencing data.

Michael Lynch, Darius Bost, Sade Wilson, Takahiro Maruki, Scott Harrison

Abstract read
In one paragraph

Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
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  7. Meiotic drive against chromosome fusions in butterfly hybrids.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2024
    Article
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  9. Article
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  18. Article
  19. Detecting Genetic Variation of ColonizingFrontiers in bioinformatics · 2022
    Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

5 authors.

Michael LynchDepartment of Biology, Indiana University, Bloomington milynch@indiana.edu.
Darius BostDepartment of Biology, North Carolina A&T State University.
Sade WilsonDepartment of Biology, North Carolina A&T State University.
Takahiro MarukiDepartment of Biology, Indiana University, Bloomington.
Scott HarrisonDepartment of Biology, North Carolina A&T State University.

Funding

MARC Undergraduate Student Training in Academic Researh (U-STAR) N C A&TT34GM083980 · NIGMS · NORTH CAROLINA AGRI & TECH ST UNIV · PI RORIE, CHECO JAMES · 2008 to 2022
$6.3M
The Rate and Molecular Spectrum of Spontaneous MutationsR01GM036827 · NIGMS · UNIVERSITY OF OREGON · PI LYNCH, MICHAEL R · 1988 to 2016
$5.7M
NIGMS NIH HHS 2T34-GM-083980-06NIGMS NIH HHS R01 GM036827NIGMS NIH HHS T34 GM083980
6 · The paper itself

Abstract

Although pooled-population sequencing has become a widely used approach for estimating allele frequencies, most work has proceeded in the absence of a proper statistical framework. We introduce a self-sufficient, closed-form, maximum-likelihood estimator for allele frequencies that accounts for errors associated with sequencing, and a likelihood-ratio test statistic that provides a simple means for evaluating the null hypothesis of monomorphism. Unbiased estimates of allele frequencies [Formula: see text] (where N is the number of individuals sampled) appear to be unachievable, and near-certain identification of a polymorphism requires a minor-allele frequency [Formula: see text]. A framework is provided for testing for significant differences in allele frequencies between populations, taking into account sampling at the levels of individuals within populations and sequences within pooled samples. Analyses that fail to account for the two tiers of sampling suffer from very large false-positive rates and can become increasingly misleading with increasing depths of sequence coverage. The power to detect significant allele-frequency differences between two populations is very limited unless both the number of sampled individuals and depth of sequencing coverage exceed 100.

Indexed as

Gene FrequencyModels, GeneticAnimalsDrosophilaFalse Positive ReactionsGenetics, PopulationHigh-Throughput Nucleotide SequencingLikelihood FunctionsPolymorphism, GeneticSequence Analysis, DNAallele-frequency estimationpopulation genomicspopulation subdivision

Identifiers

PMID24787620
PMCPMC4040993

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.