ArticleThe Plant cell2018
Integrating Coexpression Networks with GWAS to Prioritize Causal Genes in Maize.
Article in The Plant cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
75 citing papers in PubMed, 1 synthesis or guideline pooled it, 187 citations in OpenAlex.
- Metabolite-Based Genome-Wide Association Studies of Large-Scale Metabolome Analysis to Illustrate Alterations in the Metabolite Landscape of Plants upon Responses to Stresses.Methods in molecular biology (Clifton, N.J.) · 2023Guideline
- Five genomes, same suspects: a comparative filter for plant GWAS candidates.Plant physiology · 2026Article
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species.Plant physiology · 2026Article
- A Breeding-Informed Regulatory Screen Identifies ZmSPL19 as a Negative Regulator of Nitrogen-Sufficient Growth in Maize (Plants (Basel, Switzerland) · 2026Article
- Lipid Metabolism and Actin Cytoskeleton Regulation Underlie Yield and Disease Resistance in TwoPlants (Basel, Switzerland) · 2025Article
- Hyperspectral imaging of grains uncovers the genetic architecture of nitrogen response of development in bread wheat.Molecular breeding : new strategies in plant improvement · 2025Article
- Integrative genome-wide association and haplotype-based analyses reveal genetic structure and local adaptation in Korean landrace soybeans.BMC plant biology · 2025Article
- An Introduction to Network Analysis in Plant Biology.Plant direct · 2025Article
- Comprehensive analysis of 1,771 transcriptomes from 7 tissues enhance genetic and biological interpretations of maize complex traits.G3 (Bethesda, Md.) · 2025Article
- The Importance of Regulatory Network Structure for Complex Trait Heritability and Evolution.Molecular biology and evolution · 2025Article
- Multiomics Studies on the Effects of High-Temperature Stress on Male Sterility inInternational journal of molecular sciences · 2025Article
- Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci.PLoS computational biology · 2025Article
- Identifying hub genes and key functional modules in leaf tissue of Populus species based on WGCNA.Genetica · 2024Article
- Integrating GWAS with a gene co-expression network better prioritizes candidate genes associated with root metaxylem phenes in maize.The plant genome · 2024Article
- Integrated analysis of transcriptomics and defense-related phytohormones to discover hub genes conferring maize Gibberella ear rot caused by Fusarium Graminearum.BMC genomics · 2024Article
- Deep learning the cis-regulatory code for gene expression in selected model plants.Nature communications · 2024Article
- Superior haplotypes of key drought-responsive genes reveal opportunities for the development of climate-resilient rice varieties.Communications biology · 2024Article
- Article
- Genome-wide screening of meta-QTL and candidate genes controlling yield and yield-related traits in barley (Hordeum vulgare L.).PloS one · 2024Article
- Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain.The plant genome · 2023Article
15 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) have identified loci linked to hundreds of traits in many different species. Yet, because linkage equilibrium implicates a broad region surrounding each identified locus, the causal genes often remain unknown. This problem is especially pronounced in nonhuman, nonmodel species, where functional annotations are sparse and there is frequently little information available for prioritizing candidate genes. We developed a computational approach, Camoco, that integrates loci identified by GWAS with functional information derived from gene coexpression networks. Using Camoco, we prioritized candidate genes from a large-scale GWAS examining the accumulation of 17 different elements in maize (
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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 Socratic graph.