ArticleGigaScience2022
Association mapping across a multitude of traits collected in diverse environments in maize.
Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 41 citations in OpenAlex.
- Preliminary mapping of wheat (Triticum aestivum L.) tolerance genes to the English grain aphid (Sitobion avenae Fabricius) by genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Article
- Predicting complex phenotypes using multi-omics data in maize.The Plant cell · 2026Article
- Hybrids reveal accessible chromatinbioRxiv : the preprint server for biology · 2025Article
- Quantitative genetics of photosynthetic trait variation in maize.Journal of experimental botany · 2025Article
- Phenotypic plasticity in maize grain yield: Genetic and environmental insights of response to environmental gradients.The plant genome · 2025Article
- Transcription factor binding divergence drives transcriptional and phenotypic variation in maize.Nature plants · 2025Article
- Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions.BMC genomics · 2025Article
- Historic rewiring of grass flowering time pathways and implications for crop improvement under climate change.The New phytologist · 2025Review
- Moisture-responsive root-branching pathways identified in diverse maize breeding germplasm.Science (New York, N.Y.) · 2025Article
- Review
- Genome-wide association studies from spoken phenotypic descriptions: a proof of concept from maize field studies.G3 (Bethesda, Md.) · 2024Article
- A genome-wide association study uncovers a ZmRap2.7-ZCN9/ZCN10 module to regulate ABA signalling and seed vigour in maize.Plant biotechnology journal · 2024Article
- Article
- Harnessing the predicted maize pan-interactome for putative gene function prediction and prioritization of candidate genes for important traits.G3 (Bethesda, Md.) · 2024Article
- Disentangling genotype and environment specific latent features for improved trait prediction using a compositional autoencoder.Frontiers in plant science · 2024Article
- Article
- Genome-Wide Association Study of Seed Morphology Traits in Senegalese Sorghum Cultivars.Plants (Basel, Switzerland) · 2023Article
- Elucidating the patterns of pleiotropy and its biological relevance in maize.PLoS genetics · 2023Article
- Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize.Molecular plant · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Classical genetic studies have identified many cases of pleiotropy where mutations in individual genes alter many different phenotypes. Quantitative genetic studies of natural genetic variants frequently examine one or a few traits, limiting their potential to identify pleiotropic effects of natural genetic variants. Widely adopted community association panels have been employed by plant genetics communities to study the genetic basis of naturally occurring phenotypic variation in a wide range of traits. High-density genetic marker data-18M markers-from 2 partially overlapping maize association panels comprising 1,014 unique genotypes grown in field trials across at least 7 US states and scored for 162 distinct trait data sets enabled the identification of of 2,154 suggestive marker-trait associations and 697 confident associations in the maize genome using a resampling-based genome-wide association strategy. The precision of individual marker-trait associations was estimated to be 3 genes based on a reference set of genes with known phenotypes. Examples were observed of both genetic loci associated with variation in diverse traits (e.g., above-ground and below-ground traits), as well as individual loci associated with the same or similar traits across diverse environments. Many significant signals are located near genes whose functions were previously entirely unknown or estimated purely via functional data on homologs. This study demonstrates the potential of mining community association panel data using new higher-density genetic marker sets combined with resampling-based genome-wide association tests to develop testable hypotheses about gene functions, identify potential pleiotropic effects of natural genetic variants, and study genotype-by-environment interaction.
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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.