Evidence map›Paper›PMID 19863584›Full record

ArticleEvolution; international journal of organic evolution2010

The distribution and hypothesis testing of eigenvalues from the canonical analysis of the gamma matrix of quadratic and correlational selection gradients.

Richard J Reynolds, Douglas K Childers, Nicholas M Pajewski

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

15 citing papers in PubMed.

  1. Article
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  5. Predation shapes sperm performance surfaces in guppies.Proceedings. Biological sciences · 2019
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  15. Penis size interacts with body shape and height to influence male attractiveness.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

3 authors.

Richard J ReynoldsSection on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1530 3 Ave N RPHB 327, Birmingham, AL 35294, USA.
Douglas K Childers
Nicholas M Pajewski

Funding

UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
NHLBI NIH HHS T32 HL072757
6 · The paper itself

Abstract

Canonical analysis measures nonlinear selection on latent axes from a rotation of the gamma matrix (gamma) of quadratic and correlation selection gradients. Here, we document that the conventional method of testing eigenvalues (double regression) under the null hypothesis of no nonlinear selection is incorrect. Through simulation we demonstrate that under the null the expectation of some eigenvalues from canonical analysis will be nonzero, which leads to unacceptably high type 1 error rates. Using a two-trait example, we prove that the expectations for both eigenvalues depend on the sampling variability of the estimates in gamma. An appropriate test is to slightly modify the double regression method by calculating permutation P-values for the ordered eigenvalues, which maintains correct type 1 error rates. Using simulated data of nonlinear selection on male guppy ornamentation, we show that the statistical power to detect curvature with canonical analysis is higher compared to relying on the estimates from gamma alone. We provide a simple R script for permutation testing of the eigenvalues to distinguish curvature in the selection surface induced by nonlinear selection from curvature induced by random processes.

Indexed as

Models, GeneticSelection, GeneticAnimalsBirdsComputer SimulationFlowersPhenotypeRegression AnalysisSample SizeSilene

Identifiers

PMID19863584
PMCPMC2857515

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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.