Evidence map›Paper›PMID 32074141›Full record

ArticlePloS one2020

Segregation distortion: Utilizing simulated genotyping data to evaluate statistical methods.

Alexander Coulton, Alexandra M Przewieslik-Allen, Amanda J Burridge, Daniel S Shaw, Keith J Edwards, Gary L A Barker

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Alexander CoultonSchool of Biological Sciences, University of Bristol, Life Sciences Building, Bristol, United Kingdom.
Alexandra M Przewieslik-AllenSchool of Biological Sciences, University of Bristol, Life Sciences Building, Bristol, United Kingdom.
Amanda J BurridgeSchool of Biological Sciences, University of Bristol, Life Sciences Building, Bristol, United Kingdom.
Daniel S ShawSchool of Biological Sciences, University of Bristol, Life Sciences Building, Bristol, United Kingdom.ORCID 0000-0001-8183-2228
Keith J EdwardsSchool of Biological Sciences, University of Bristol, Life Sciences Building, Bristol, United Kingdom.
Gary L A BarkerSchool of Biological Sciences, University of Bristol, Life Sciences Building, Bristol, United Kingdom.
University of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M009122/1Biotechnology and Biological Sciences Research Council BBS/E/C/000I0280
6 · The paper itself

Abstract

Segregation distortion is the phenomenon in which genotypes deviate from expected Mendelian ratios in the progeny of a cross between two varieties or species. There is not currently a widely used consensus for the appropriate statistical test, or more specifically the multiple testing correction procedure, used to detect segregation distortion for high-density single-nucleotide polymorphism (SNP) data. Here we examine the efficacy of various multiple testing procedures, including chi-square test with no correction for multiple testing, false-discovery rate correction and Bonferroni correction using an in-silico simulation of a biparental mapping population. We find that the false discovery rate correction best approximates the traditional p-value threshold of 0.05 for high-density marker data. We also utilize this simulation to test the effect of segregation distortion on the genetic mapping process, specifically on the formation of linkage groups during marker clustering. Only extreme segregation distortion was found to effect genetic mapping. In addition, we utilize replicate empirical mapping populations of wheat varieties Avalon and Cadenza to assess how often segregation distortion conforms to the same pattern between closely related wheat varieties.

Indexed as

Chromosome MappingChromosome SegregationChromosomes, PlantComputer SimulationData Interpretation, StatisticalGenetic LinkageGenotypePolymorphism, Single NucleotideQuantitative Trait LociTriticum

Identifiers

PMID32074141
PMCPMC7029859
OpenAlexW3006711858

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.