Evidence map›Paper›PMID 36943844›Full record

ArticlePLoS genetics2023

Elucidating the patterns of pleiotropy and its biological relevance in maize.

Merritt Khaipho-Burch, Taylor Ferebee, Anju Giri, Guillaume Ramstein, Brandon Monier, Emily Yi, M Cinta Romay, Edward S Buckler

Open access · goldFull text read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Cross-species modeling of plant genomes at single-nucleotide resolution using a pretrained DNA language model.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Maize inbreds show allelic variation for diel transcription patterns.bioRxiv : the preprint server for biology · 2024
    Article
  7. Review
  8. Article
  9. 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

8 authors at 2 institutions in 2 countries.

Merritt Khaipho-BurchSection of Plant Breeding and Genetics, Cornell University, Ithaca, New York.ORCID 0000-0002-1503-6853
Taylor FerebeeDepartment of Computational Biology, Cornell University, Ithaca, New York.ORCID 0000-0002-4552-8699
Anju GiriInstitute for Genomic Diversity, Cornell University, Ithaca, New York.ORCID 0000-0001-5441-2762
Guillaume RamsteinInstitute for Genomic Diversity, Cornell University, Ithaca, New York.
Brandon MonierInstitute for Genomic Diversity, Cornell University, Ithaca, New York.
Emily YiInstitute for Genomic Diversity, Cornell University, Ithaca, New York.
M Cinta RomayInstitute for Genomic Diversity, Cornell University, Ithaca, New York.
Edward S BucklerSection of Plant Breeding and Genetics, Cornell University, Ithaca, New York.
Cornell University · USAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleiotropy-when a single gene controls two or more seemingly unrelated traits-has been shown to impact genes with effects on flowering time, leaf architecture, and inflorescence morphology in maize. However, the genome-wide impact of biological pleiotropy across all maize phenotypes is largely unknown. Here, we investigate the extent to which biological pleiotropy impacts phenotypes within maize using GWAS summary statistics reanalyzed from previously published metabolite, field, and expression phenotypes across the Nested Association Mapping population and Goodman Association Panel. Through phenotypic saturation of 120,597 traits, we obtain over 480 million significant quantitative trait nucleotides. We estimate that only 1.56-32.3% of intervals show some degree of pleiotropy. We then assess the relationship between pleiotropy and various biological features such as gene expression, chromatin accessibility, sequence conservation, and enrichment for gene ontology terms. We find very little relationship between pleiotropy and these variables when compared to permuted pleiotropy. We hypothesize that biological pleiotropy of common alleles is not widespread in maize and is highly impacted by nuisance terms such as population structure and linkage disequilibrium. Natural selection on large standing natural variation in maize populations may target wide and large effect variants, leaving the prevalence of detectable pleiotropy relatively low.

Indexed as

Genome-Wide Association StudyZea maysChromosome MappingGenetic PleiotropyLinkage DisequilibriumPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID36943844
PMCPMC10030035
OpenAlexW4328048861

What OpenQuestion holds

Textfull text, public
LicenceCC0
measurements read19
identifiers read6
Read underepoch 390

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.