bioRxivGeneticsPreprint
How and why to quantify pairwise pleiotropy and genotype-by-environment interactions
Abstract
Pleiotropy is when a single locus affects two or more traits. The magnitude and direction of pleiotropy can constrain or faciliate phenotypic evolution. Investigations of pleiotropy have typically relied on null-hypothesis tests to classify cases into discrete categories based on the direction of effects. This discrete approach ignores the quantitative nature of pleiotropy, and systematically underestimates pleiotropic interactions. I describe a simple method to quantify the direction and magnitude of pleiotropic effects to alleviate these issues for pairs of traits. I illustrate how genotype-by-environment interactions can be viewed as a special case of pleiotropy and described in the same way. I provide an R package, psiotropy, to apply these methods.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Interactions between epistasis and pleiotropy in generic models of complex traits
Caelan Brooks, Misha Gupta, … Michael M. Desai·bioRxiv·Sep 30, 2026
- Testing pleiotropy vs. separate QTL in multiparental populations
Frederick J. Boehm, Elissa J. Chesler, … Karl W. Broman·G3 Genes Genomes GeneticsPeer-reviewed·May 16, 2019
- A method to map and interpret pleiotropic loci using summary statistics of multiple traits
Cue Hyunkyu Lee, Huwenbo Shi, … Buhm Han·The American Journal of Human GeneticsPeer-reviewed·Dec 21, 2020
- Phenotypic distribution and selection response for linear-product gene-environment interaction in quantitative traits
Reginald D. Smith·bioRxiv·May 12, 2021
- Functional determinants and evolutionary consequences of pleiotropy in complex and Mendelian traits
Yury A. Barbitoff, Поліна Богайчук, … Alexander V. Predeus·Molecular Biology and EvolutionPeer-reviewed·Sep 17, 2025
- simplePHENOTYPES: SIMulation of Pleiotropic, Linked and Epistatic PHENOTYPES
Samuel B. Fernandes, Alexander Edward Lipka·BMC BioinformaticsPeer-reviewed·Oct 31, 2020