Evidence map›Paper›PMID 33119626›Full record

ArticlePloS one2020

Detecting inversions with PCA in the presence of population structure.

Ronald J Nowling, Krystal R Manke, Scott J Emrich

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Article
  8. Chromosomal inversions and their impact on insect evolution.Current opinion in insect science · 2024
    Review
  9. Article
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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

3 authors at 2 institutions in 1 country.

Ronald J NowlingElectrical Engineering and Computer Science, Milwaukee School of Engineering, Milwaukee, WI.
Krystal R MankePhysics and Chemistry, Milwaukee School of Engineering, Milwaukee, WI.ORCID 0000-0001-7739-3277
Scott J EmrichElectrical Engineering and Computer Science, University of Tennessee-Knoxville, Knoxville, TN.ORCID 0000-0002-5741-4517
Milwaukee School of Engineering · USKnoxville College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomal inversions can lead to reproductive isolation and adaptation in insects such as Drosophila melanogaster and the non-model malaria vector Anopheles gambiae. Inversions can be detected and characterized using principal component analysis (PCA) of single nucleotide polymorphisms (SNPs). To aid in developing such methods, we formed a new benchmark derived from three publicly-available insect data. We then used this benchmark to perform an extended validation of our software for inversion analysis (Asaph). Through that process, we identified and characterized several problematic test cases liable to misinterpretation that can help guide PCA-based inversion detection. Lastly, we re-analyzed the 2R chromosome arm of 150 An. gambiae and coluzzii samples and observed two inversions (2Rc and 2Rd) that were previously known but not annotated in these particular individuals. The resulting benchmark data set and methods will be useful for future inversion detection based solely on SNP data.

Indexed as

AnimalsAnophelesChromosome InversionChromosomes, InsectComputational BiologyDatasets as TopicDrosophila melanogasterPolymorphism, Single NucleotidePrincipal Component AnalysisSoftware

Identifiers

PMID33119626
PMCPMC7595445
OpenAlexW3095986295

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.