Evidence map›Paper›PMID 26530421›Full record

ArticleG3 (Bethesda, Md.)2015

Mapping Quantitative Trait Loci Underlying Function-Valued Traits Using Functional Principal Component Analysis and Multi-Trait Mapping.

Il-Youp Kwak, Candace R Moore, Edgar P Spalding, Karl W Broman

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Leveraging orthology within maize and Arabidopsis QTL to identify genes affecting natural variation in gravitropism.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

4 authors.

Il-Youp KwakDepartment of Statistics, University of Wisconsin, Madison, Wisconsin 53706.ORCID http://orcid.org/0000-0002-7117-7669
Candace R MooreDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706.
Edgar P SpaldingDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706.ORCID http://orcid.org/0000-0002-6890-4765
Karl W BromanDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin 53706 kbroman@biostat.wisc.edu.ORCID http://orcid.org/0000-0002-4914-6671

Funding

Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Statistical Methods and Software for QTL MappingR01GM074244 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BROMAN, KARL W · 2005 to 2013
$2.3M
NIGMS NIH HHS R01 GM070683NIGMS NIH HHS R01 GM074244NIGMS NIH HHS R01GM074244
6 · The paper itself

Abstract

We previously proposed a simple regression-based method to map quantitative trait loci underlying function-valued phenotypes. In order to better handle the case of noisy phenotype measurements and accommodate the correlation structure among time points, we propose an alternative approach that maintains much of the simplicity and speed of the regression-based method. We overcome noisy measurements by replacing the observed data with a smooth approximation. We then apply functional principal component analysis, replacing the smoothed phenotype data with a small number of principal components. Quantitative trait locus mapping is applied to these dimension-reduced data, either with a multi-trait method or by considering the traits individually and then taking the average or maximum LOD score across traits. We apply these approaches to root gravitropism data on Arabidopsis recombinant inbred lines and further investigate their performance in computer simulations. Our methods have been implemented in the R package, funqtl.

Indexed as

Chromosome MappingPrincipal Component AnalysisQuantitative Trait, HeritableQuantitative Trait LociAlgorithmsGenetic Association StudiesLod ScoreModels, GeneticMutationPhenotypefunction-valued traitsgrowth curvesmodel selectionmultivariate analysisQTL

Identifiers

PMID26530421
PMCPMC4704727

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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.