Evidence map›Paper›PMID 31014244›Full record

ArticleBMC bioinformatics2019

Estimates of introgression as a function of pairwise distances.

Bastian Pfeifer, Durrell D Kapan

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Incomplete lineage sorting shaped mixed traits during a colobine primate radiation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

2 authors at 2 institutions in 2 countries.

Bastian PfeiferInstitute for Medical Informatics, Statistics and Documentation, Medical University, Graz, Austria.
Durrell D KapanDepartment of Entomology and Center for Comparative Genomics, Institute for Biodiversity Science and Sustainability, California Academy of Sciences, 55 Music Concourse Dr., San Francisco, USA. dkapan@calacademy.org.ORCID http://orcid.org/0000-0002-5107-7660
California Academy of Sciences · USMedical University of Graz · AT

Funding

Division of Biological Infrastructure 1427772
6 · The paper itself

Abstract

backgroundResearch over the last 10 years highlights the increasing importance of hybridization between species as a major force structuring the evolution of genomes and potentially providing raw material for adaptation by natural and/or sexual selection. Fueled by research in a few model systems where phenotypic hybrids are easily identified, research into hybridization and introgression (the flow of genes between species) has exploded with the advent of whole-genome sequencing and emerging methods to detect the signature of hybridization at the whole-genome or chromosome level. Amongst these are a general class of methods that utilize patterns of single-nucleotide polymorphisms (SNPs) across a tree as markers of hybridization. These methods have been applied to a variety of genomic systems ranging from butterflies to Neanderthals to detect introgression, however, when employed at a fine genomic scale these methods do not perform well to quantify introgression in small sample windows.

resultsWe introduce a novel method to detect introgression by combining two widely used statistics: pairwise nucleotide diversity d

conclusionWe present a new distance based statistic d

Indexed as

Models, GeneticDatabases, GeneticGene FlowGenomicsHybridization, GeneticModels, StatisticalPolymorphism, Single NucleotideWhole Genome SequencingGenomicsHybridisationIntrogressionSNPs

Identifiers

PMID31014244
PMCPMC6480520
OpenAlexW2951902178

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.