Evidence map›Paper›PMID 35317727›Full record

ArticleBMC bioinformatics2022

A population-level statistic for assessing Mendelian behavior of genotyping-by-sequencing data from highly duplicated genomes.

Lindsay V Clark, Wittney Mays, Alexander E Lipka, Erik J Sacks

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  7. Article
  8. The Conservation Genetics ofPlants (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Article
  11. 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.

Lindsay V ClarkRoy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. lvclark@illinois.edu.
Wittney MaysDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Alexander E LipkaDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Erik J SacksDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.

Funding

National Science Foundation 1661490
6 · The paper itself

Abstract

backgroundGiven the economic and environmental importance of allopolyploids and other species with highly duplicated genomes, there is a need for methods to distinguish paralogs, i.e. duplicate sequences within a genome, from Mendelian loci, i.e. single copy sequences that pair at meiosis. The ratio of observed to expected heterozygosity is an effective tool for filtering loci but requires genotyping to be performed first at a high computational cost, whereas counting the number of sequence tags detected per genotype is computationally quick but very ineffective in inbred or polyploid populations. Therefore, new methods are needed for filtering paralogs.

resultsWe introduce a novel statistic, H

conclusionsOur methodology for estimating H

Indexed as

PolyploidyAllelesGene FrequencyGenotypeHeterozygoteHumansGenome duplicationHeterozygosityNext generation DNA-sequencing (NGS)PolyploidySingle nucleotide polymorphism (SNP)

Identifiers

PMID35317727
PMCPMC8939213

What OpenQuestion holds

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Registered trials

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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.