ArticleFrontiers in genetics2020
IntAssoPlot: An R Package for Integrated Visualization of Genome-Wide Association Study Results With Gene Structure and Linkage Disequilibrium Matrix.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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
20 citing papers in PubMed.
- Integrating multi-model GWAS prior information enhances genomic prediction of cold tolerance traits in Populus simonii.BMC plant biology · 2026Article
- Phenotypic and genetic dissection of seed shape related traits in soybean (Frontiers in plant science · 2026Article
- A telomere-to-telomere genome assembly of cotton provides insights into centromere evolution and short-season adaptation.Nature genetics · 2025Article
- Genomic Analysis of Lymphoma Risk in Bullmastiff Dogs.Veterinary sciences · 2023Article
- Lymphoma in Border Collies: Genome-Wide Association and Pedigree Analysis.Veterinary sciences · 2023Article
- GWLD: an R package for genome-wide linkage disequilibrium analysis.G3 (Bethesda, Md.) · 2023Article
- The Progression in Developing Genomic Resources for Crop Improvement.Life (Basel, Switzerland) · 2023Review
- ZmDRR206 Regulates Nutrient Accumulation in Endosperm through Its Role in Cell Wall Biogenesis during Maize Kernel Development.International journal of molecular sciences · 2023Article
- Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize.Molecular plant · 2023Article
- A Guide to Genome-Wide Association Study Design for Diabetic Retinopathy.Methods in molecular biology (Clifton, N.J.) · 2023Review
- A multi-trait GWAS-based genetic association network controlling soybean architecture and seed traits.Frontiers in plant science · 2023Article
- A robust SNP-haplotype assay forFrontiers in plant science · 2023Article
- A Combination of a Genome-Wide Association Study and a Transcriptome Analysis Reveals circRNAs as New Regulators Involved in the Response to Salt Stress in Maize.International journal of molecular sciences · 2022Article
- Identification of major genomic regions for soybean seed weight by genome-wide association study.Molecular breeding : new strategies in plant improvement · 2022Article
- ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci.Genomics, proteomics & bioinformatics · 2022Article
- Article
- Article
- Coding Mutations in Vacuolar Protein-Sorting 4 AAA+ ATPase Endosomal Sorting Complexes Required for Transport Protein Homologs UnderlieFrontiers in plant science · 2021Article
- Genome-Wide Association Mapping ofFrontiers in plant science · 2021Article
- Evaluations of Genomic Prediction and Identification of New Loci for Resistance to Stripe Rust Disease in Wheat (Frontiers in genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association study (GWAS), exploring the historical and evolutionary recombinations at the population level, is a major method adopted to identify quantitative trait loci (QTL) for complex traits. However, to summarize GWAS results, gene structure, and linkage disequilibrium (LD) in a single view, multiple tools are required. It is tedious to generate these three results and manually put them together; moreover, it may eventually lead to inaccuracies. On the other hand, genotype markers are usually detected by DNA- and/or RNA-Seq. For GWAS analysis based on RNA-Seq, markers from DNA-Seq provide more genetic information when displaying LD. The currently released software package does not have this function for an integrated analysis of LD, using genotypic markers different from that in association analysis. Here, we present an R package, IntAssoPlot, which provides an integrated visual display of GWAS results, along with LD and gene structure information, in a publication-ready format. The main panel of an IntAssoPlot plot has a connecting line linking the genome-wide association
Indexed as
Identifiers
What OpenQuestion holds
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.