ArticleG3 (Bethesda, Md.)2019
Testing Pleiotropy
Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
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Who cites it
9 citing papers in PubMed.
- Correlational selection and genetic architecture shape the evolution of the leaf economics spectrum in a perennial grass.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Trans-eQTL hotspots shape complex traits by modulating cellular states.Cell genomics · 2025Article
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- Multiple genetic loci influence vaccine-induced protection against Mycobacterium tuberculosis in genetically diverse mice.PLoS pathogens · 2024Article
- Elucidating the patterns of pleiotropy and its biological relevance in maize.PLoS genetics · 2023Article
- Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution.Evolution & development · 2023Article
- Host-pathogen genetic interactions underlie tuberculosis susceptibility in genetically diverse mice.eLife · 2022Article
- The cichlid oral and pharyngeal jaws are evolutionarily and genetically coupled.Nature communications · 2021Article
- qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations.Journal of open source software · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The high mapping resolution of multiparental populations, combined with technology to measure tens of thousands of phenotypes, presents a need for quantitative methods to enhance understanding of the genetic architecture of complex traits. When multiple traits map to a common genomic region, knowledge of the number of distinct loci provides important insight into the underlying mechanism and can assist planning for subsequent experiments. We extend the method of Jiang and Zeng (1995), for testing pleiotropy with a pair of traits, to the case of more than two alleles. We also incorporate polygenic random effects to account for population structure. We use a parametric bootstrap to determine statistical significance. We apply our methods to a behavioral genetics data set from Diversity Outbred mice. Our methods have been incorporated into the R package qtl2pleio.
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Registered trials
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.