ArticleNature communications2016
Open access resources for genome-wide association mapping in rice.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 240 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
240 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice.Nature communications · 2025Pooled it
- Genome-Wide Association Analysis of Gibberellin Sensitivity for Panicle Exsertion Length in Rice and Candidate Gene Identification.Plants (Basel, Switzerland) · 2026Article
- Genome-Wide Association Mapping and Integrated Transcriptomic-Genomic Analysis Reveal Candidate Genes for Grain Transparency in Rice.International journal of molecular sciences · 2026Article
- ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms.The plant genome · 2026Article
- Haplotype-based multi-locus genome-wide association study reveals genomic regions associated with reproductive stage high temperature stress tolerance in rice.Plant molecular biology · 2026Article
- On the genetic origins of phenotypes in genome-wide association studies: the SAFE-hBMC bioinformatics · 2026Article
- Omics Technologies in Molecular Biology.International journal of molecular sciences · 2026Article
- Identification of photosynthetic pigment content-related genes in peanut (Arachis hypogaea L.) by GWAS and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- GWAS and Regularised Regression Identify SNPs Associated with Candidate Genes for Stage-Specific Salinity Tolerance in Rice.Plants (Basel, Switzerland) · 2026Article
- Integrating image-based phenotyping and QTL mapping to enhance genetic resistance and accelerate breeding for bacterial grain rot resistance in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Next-Generation Genotyping: Innovations Driving Plant Genomic Improvement.Life (Basel, Switzerland) · 2026Review
- Editorial: Utilizing machine learning with phenotypic and genotypic data to enhance effective breeding in agricultural and horticultural crops.Frontiers in plant science · 2026Article
- Beyond QTL and GWAS: how deep learning, graph models, and multi-omics are reshaping plant genomic prediction analysis.Frontiers in genetics · 2026Review
- Genomic insights into sheath blight resistance: leveraging natural variation in the Bengal-Assam-Aus rice panel for multi-season association mapping.Frontiers in plant science · 2026Article
- GWAS and multi-omics study reveal OsJAR2 associated jasmonate biosynthesis contributes to Southern rice black-streaked dwarf virus resistance in rice.BMC genomics · 2025Article
- Evolutionary histories of functional mutations during the domestication and spread ofProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Genome-wide association study uncovers a novel gene responsible for rice seedling submergence tolerance.Plant biotechnology journal · 2025Article
- Article
- GWAS and haplotype analysis reveal the intricate interplay of hormones in rice seed germination under hypoxic conditions.3 Biotech · 2025Article
- Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.Scientific reports · 2025Article
180 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement.
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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.