Evidence map›Paper›PMID 27165767›Full record

ArticleHeredity2016

A method for detecting recent changes in contemporary effective population size from linkage disequilibrium at linked and unlinked loci.

C M Hollenbeck, D S Portnoy, J R Gold

Abstract read
In one paragraph

Article in Heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

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0cells of the map it votes in
30citing 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

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.

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Combining Multiple Genetic Estimates of NMolecular ecology resources · 2026
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  7. Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species.Proceedings of the National Academy of Sciences of the United States of America · 2022
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

C M HollenbeckMarine Genomics Laboratory, Department of Life Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA.
D S PortnoyMarine Genomics Laboratory, Department of Life Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA.
J R GoldMarine Genomics Laboratory, Department of Life Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation of contemporary effective population size (Ne) from linkage disequilibrium (LD) between unlinked pairs of genetic markers has become an important tool in the field of population and conservation genetics. If data pertaining to physical linkage or genomic position are available for genetic markers, estimates of recombination rate between loci can be combined with LD data to estimate contemporary Ne at various times in the past. We extend the well-known, LD-based method of estimating contemporary Ne to include linkage information and show via simulation that even relatively small, recent changes in Ne can be detected reliably with a modest number of single-nucleotide polymorphism (SNP) loci. We explore several issues important to interpretation of the results and quantify the bias in estimates of contemporary Ne associated with the assumption that all loci in a large SNP data set are unlinked. The approach is applied to an empirical data set of SNP genotypes from a population of a marine fish where a recent, temporary decline in Ne is known to have occurred.

Indexed as

Linkage DisequilibriumModels, GeneticPopulation DensityAnimalsComputer SimulationFishesGene FrequencyGenetic MarkersGenetics, PopulationGenotypePolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID27165767
PMCPMC5026753

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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.