ArticleNature communications2018
An imputation platform to enhance integration of rice genetic resources.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses 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.
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Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.
- Data Integration, Imputation, and Meta-analysis for Genome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022Pooled it
- Meta-analysis of genome-wide association studies provides insights into genetic control of tomato flavor.Nature communications · 2019Pooled it
- RiSpy: a feature selection-based fingerprinting framework for accurate identification of genome-edited rice lines.Briefings in bioinformatics · 2026Article
- Leaf Na+ effects and multi-trait GWAS point to salt exclusion as the key mechanism for reproductive stage salinity tolerance in rice.Annals of botany · 2025Article
- Multi-Experiment and Multi-Locus Genome-Wide Association Mapping for Grain Arsenic in Rice Population.Plant direct · 2025Article
- Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance.BMC genomics · 2025Article
- Landrace introgression contributed to the recent feralization of weedy rice in East China.Plant communications · 2024Article
- A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset.BMC biology · 2024Article
- Traces of Introgression from cAus into Tropical Japonica Observed in African Upland Rice Varieties.Rice (New York, N.Y.) · 2023Article
- Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation.BMC plant biology · 2023Article
- Navigating rice seedling cold resilience: QTL mapping in two inbred line populations and the search for genes.Frontiers in plant science · 2023Article
- Genome-wide association analysis for emergence of deeply sown rice (Frontiers in plant science · 2023Article
- Multi-model genome-wide association studies for appearance quality in rice.Frontiers in plant science · 2023Article
- Identifying genes associated with abiotic stress tolerance suitable for CRISPR/Cas9 editing in upland rice cultivars adapted to acid soils.Plant direct · 2022Article
- Imputation of low-density marker chip data in plant breeding: Evaluation of methods based on sugar beet.The plant genome · 2022Article
- Deep polygenic neural network for predicting and identifying yield-associated genes in Indonesian rice accessions.Scientific reports · 2022Article
- Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies.Rice (New York, N.Y.) · 2022Article
- Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice.BMC bioinformatics · 2022Article
- A multiple phenotype imputation method for genetic diversity and core collection in Taiwanese vegetable soybean.Frontiers in plant science · 2022Article
- Rice functional genomics: decades' efforts and roads ahead.Science China. Life sciences · 2022Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
Abstract
As sequencing and genotyping technologies evolve, crop genetics researchers accumulate increasing numbers of genomic data sets from various genotyping platforms on different germplasm panels. Imputation is an effective approach to increase marker density of existing data sets toward the goal of integrating resources for downstream applications. While a number of imputation software packages are available, the limitations to utilization for the rice community include high computational demand and lack of a reference panel. To address these challenges, we develop the Rice Imputation Server, a publicly available web application leveraging genetic information from a globally diverse rice reference panel assembled here. This resource allows researchers to benefit from increased marker density without needing to perform imputation on their own machines. We demonstrate improvements that imputed data provide to rice genome-wide association (GWA) results of grain amylose content and show that the major functional nucleotide polymorphism is tagged only in the imputed data set.
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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.