Evidence map›Paper›PMID 24931408›Full record

ArticleGenetics2014

A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.

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

Abstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. 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
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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.
Candace R MooreDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706.
Edgar P SpaldingDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706.
Karl W BromanDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin 53706 kbroman@biostat.wisc.edu.

Funding

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 GM074244NIGMS NIH HHS R01GM074244
6 · The paper itself

Abstract

Most statistical methods for quantitative trait loci (QTL) mapping focus on a single phenotype. However, multiple phenotypes are commonly measured, and recent technological advances have greatly simplified the automated acquisition of numerous phenotypes, including function-valued phenotypes, such as growth measured over time. While methods exist for QTL mapping with function-valued phenotypes, they are generally computationally intensive and focus on single-QTL models. We propose two simple, fast methods that maintain high power and precision and are amenable to extensions with multiple-QTL models using a penalized likelihood approach. After identifying multiple QTL by these approaches, we can view the function-valued QTL effects to provide a deeper understanding of the underlying processes. Our methods have been implemented as a package for R, funqtl.

Indexed as

PhenotypeQuantitative Trait LociArabidopsisChromosome MappingComputer SimulationLikelihood FunctionsModels, GeneticRegression Analysisfunction-valued traitgrowth curvesmodel selectionQTL

Identifiers

PMID24931408
PMCPMC4125409

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.