Evidence map›Paper›PMID 16624924›Full record

ArticleGenetics2006

On locating multiple interacting quantitative trait loci in intercross designs.

Andreas Baierl, Małgorzata Bogdan, Florian Frommlet, Andreas Futschik

Abstract read
In one paragraph

Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Article
  4. Article
  5. Fence Methods for Backcross Experiments.Journal of statistical computation and simulation · 2014
    Article
  6. Article
  7. High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013
    Article
  8. Article
  9. Article
  10. Review
  11. A two-phase procedure for QTL mapping with regression models.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
  12. High congruency of QTL positions for heterosis of grain yield in three crosses of maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
  13. Look before you leap: a new approach to mapping QTL.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009
    Article
  14. Deviance Information Criterion (DIC) in Bayesian Multiple QTL Mapping.Computational statistics & data analysis · 2009
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2008
    Article
  20. 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.

Andreas BaierlInstitute of Statistics and Decision Support Systems, University of Vienna, Austria. andreas.baierl@univie.ac.at
Małgorzata Bogdan
Florian Frommlet
Andreas Futschik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A modified version (mBIC) of the Bayesian Information Criterion (BIC) has been previously proposed for backcross designs to locate multiple interacting quantitative trait loci. In this article, we extend the method to intercross designs. We also propose two modifications of the mBIC. First we investigate a two-stage procedure in the spirit of empirical Bayes methods involving an adaptive (i.e., data-based) choice of the penalty. The purpose of the second modification is to increase the power of detecting epistasis effects at loci where main effects have already been detected. We investigate the proposed methods by computer simulations under a wide range of realistic genetic models, with nonequidistant marker spacings and missing data. In the case of large intermarker distances we use imputations according to Haley and Knott regression to reduce the distance between searched positions to not more than 10 cM. Haley and Knott regression is also used to handle missing data. The simulation study as well as real data analyses demonstrates good properties of the proposed method of QTL detection.

Indexed as

Crosses, GeneticQuantitative Trait LociAlgorithmsAnimalsBayes TheoremComputer SimulationDrosophilaEpistasis, GeneticGenetic MarkersMiceModels, GeneticRegression AnalysisGenetic Markers

Identifiers

PMID16624924
PMCPMC1526676

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.