Evidence map›Paper›PMID 31405891›Full record

ArticleG3 (Bethesda, Md.)2019

Linkage Analysis and Haplotype Phasing in Experimental Autopolyploid Populations with High Ploidy Level Using Hidden Markov Models.

Marcelo Mollinari, Antonio Augusto Franco Garcia

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  10. Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025
    Review
  11. Tests for segregation distortion in tetraploid F1 populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    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

2 authors.

Marcelo MollinariDepartment of Horticultural Science, Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, and.ORCID 0000-0002-7001-8498
Antonio Augusto Franco GarciaDepartment of Genetics, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil augusto.garcia@usp.br.ORCID 0000-0003-0634-3277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern SNP genotyping technologies allow measurement of the relative abundance of different alleles for a given locus and consequently estimation of their allele dosage, opening a new road for genetic studies in autopolyploids. Despite advances in genetic linkage analysis in autotetraploids, there is a lack of statistical models to perform linkage analysis in organisms with higher ploidy levels. In this paper, we present a statistical method to estimate recombination fractions and infer linkage phases in full-sib populations of autopolyploid species with even ploidy levels for a set of SNP markers using hidden Markov models. Our method uses efficient two-point procedures to reduce the search space for the best linkage phase configuration and reestimate the final parameters by maximizing the likelihood of the Markov chain. To evaluate the method, and demonstrate its properties, we rely on simulations of autotetraploid, autohexaploid and autooctaploid populations and on a real tetraploid potato data set. The results show the reliability of our approach, including situations with complex linkage phase scenarios in hexaploid and octaploid populations.

Indexed as

Genetic LinkageGenetics, PopulationHaplotypesMarkov ChainsModels, GeneticPolyploidyAlgorithmsChromosome MappingRecombination, GeneticAnalysisBivalent PairingFractionMultilocusPolyploidyRecombination

Identifiers

PMID31405891
PMCPMC6778803

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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.