Evidence map›Paper›PMID 37313326›Full record

ArticleMolecular breeding : new strategies in plant improvement2022

GWAS in tetraploid potato: identification and validation of SNP markers associated with glycoalkaloid content.

Peter G Vos, M João Paulo, Peter M Bourke, Chris A Maliepaard, Fred A van Eeuwijk, Richard G F Visser, Herman J van Eck

Abstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Potato biofortification: an effective way to fight global hidden hunger.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Review
  8. 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

7 authors.

Peter G VosPlant Breeding, Wageningen University and Research, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.
M João PauloBiometris, Wageningen University and Research, P.O. Box 16, 6700 AA Wageningen, The Netherlands.
Peter M BourkePlant Breeding, Wageningen University and Research, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.
Chris A MaliepaardPlant Breeding, Wageningen University and Research, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.
Fred A van EeuwijkBiometris, Wageningen University and Research, P.O. Box 16, 6700 AA Wageningen, The Netherlands.
Richard G F VisserPlant Breeding, Wageningen University and Research, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.ORCID 0000-0002-0213-4016
Herman J van EckPlant Breeding, Wageningen University and Research, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) are a useful tool to unravel the genetic architecture of complex traits, but the results can be difficult to interpret. Population structure, genetic heterogeneity, and rare alleles easily result in false positive or false negative associations. This paper describes the analysis of a GWAS panel combined with three bi-parental mapping populations to validate GWAS results, using phenotypic data for steroidal glycoalkaloid (SGA) accumulation and the ratio (SGR) between the two major glycoalkaloids α-solanine and α-chaconine in potato tubers. SGAs are secondary metabolites in the Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01344-2.

Indexed as

HaplotypesMarker-assisted selectionQTL-mappingSolanum tuberosumSteroidal glycoalkaloids

Identifiers

PMID37313326
PMCPMC10248624

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.