Evidence map›Paper›PMID 23860723›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2013

High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.

Michael Stange, H Friedrich Utz, Tobias A Schrag, Albrecht E Melchinger, Tobias Würschum

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

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40citing papers in PubMed
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3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
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  5. Genomic regions associated with chocolate spot (Molecular breeding : new strategies in plant improvement · 2022
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  19. QTL mapping and comparative genome analysis of agronomic traits including grain yield in winter rye.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michael StangeInstitute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.
H Friedrich Utz
Tobias A Schrag
Albrecht E Melchinger
Tobias Würschum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-density genotyping is extensively exploited in genome-wide association mapping studies and genomic selection in maize. By contrast, linkage mapping studies were until now mostly based on low-density genetic maps and theoretical results suggested this to be sufficient. This raises the question, if an increase in marker density would be an overkill for linkage mapping in biparental populations, or if important QTL mapping parameters would benefit from it. In this study, we addressed this question using experimental data and a simulation based on linkage maps with marker densities of 1, 2, and 5 cM. QTL mapping was performed for six diverse traits in a biparental population with 204 doubled haploid maize lines and in a simulation study with varying QTL effects and closely linked QTL for different population sizes. Our results showed that high-density maps neither improved the QTL detection power nor the predictive power for the proportion of explained genotypic variance. By contrast, the precision of QTL localization, the precision of effect estimates of detected QTL, especially for small and medium sized QTL, as well as the power to resolve closely linked QTL profited from an increase in marker density from 5 to 1 cM. In conclusion, the higher costs for high-density genotyping are compensated for by more precise estimates of parameters relevant for knowledge-based breeding, thus making an increase in marker density for linkage mapping attractive.

Indexed as

Chromosome MappingComputer SimulationChromosomes, PlantCrosses, GeneticGenetic MarkersGenetics, PopulationGenotyping TechniquesLod ScoreQuantitative Trait LociZea maysGenetic Markers

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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.