ArticleGenomics, proteomics & bioinformatics2021
GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction.
Article in Genomics, proteomics & bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 629 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
629 citing papers in PubMed.
- Genome-wide association analysis of resistance to scald in an adapted multiparent winter malting barley population.The plant genome · 2026Article
- Identification of germplasm and genomic markers associated with reduced T-2 and HT-2 mycotoxin accumulation in oat.The plant genome · 2026Article
- An IRAT109 NAM population: Genetic characterization and mapping utility for trait dissection in japonica rice (Oryza sativa L.).The plant genome · 2026Article
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Temporal GWAS and QTL mapping of UAV-derived digital canopy height reveals stage-specific genetic effects in bread wheat.Plant phenomics (Washington, D.C.) · 2026Article
- Genome-wide characterisation of leaf rust resistance loci in an Eastern European barley collection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Tandem duplication upstream ofiScience · 2026Article
- A multi-omic dissection of spatial hierarchy-dependent grain development in barley (Hordeum vulgare L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association mapping of tan spot resistance in a modified NAM population derived from synthetic hexaploid wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Evaluating reaction norm and fixed effect models for genomic selection of end-use quality in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association studies of body weight, body conformation traits and coat color in Gamba sheep.Animal bioscience · 2026Article
- Candidate genes with antagonistic roles in stomatal development are associated with population-wide variation in apple.Horticulture research · 2026Article
- Genome-Wide Association and Genomic Prediction of Powdery Mildew and CYSDV Resistance in Melon.Plants (Basel, Switzerland) · 2026Article
- Genetic structure analysis of Glycyrrhiza species and identification of SNP-loci associated with secondary metabolites in G. glabra.BMC genomics · 2026Article
- Identification of septoria nodorum blotch susceptibility genes in hard winter wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Multi-Season Multi-Model GWAS Prioritizes Stable Genomic Loci and Candidate Genes for Six Agronomic Traits in Soybean Under Conditions in Southeastern Kazakhstan.Plants (Basel, Switzerland) · 2026Article
- Natural variation in GmRVE4d facilitates soybean latitudinal adaptation by regulating GmPRR5a-dependent flowering and maturity.Nature communications · 2026Article
- Multi-variant GWAS and genomic prediction dissect the genetic architecture underlying tomato fruit weight.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).The plant genome · 2026Article
- A yield-reducing introgression linked to sd1 in rice.The plant genome · 2026Article
569 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the two essential enterprises in genomic research. Due to the great magnitude and complexity of genomic and phenotypic data, analytical methods and their associated software packages are frequently advanced. GAPIT is a widely-used genomic association and prediction integrated tool as an R package. The first version was released to the public in 2012 with the implementation of the general linear model (GLM), mixed linear model (MLM), compressed MLM (CMLM), and genomic best linear unbiased prediction (gBLUP). The second version was released in 2016 with several new implementations, including enriched CMLM (ECMLM) and settlement of MLMs under progressively exclusive relationship (SUPER). All the GWAS methods are based on the single-locus test. For the first time, in the current release of GAPIT, version 3 implemented three multi-locus test methods, including multiple loci mixed model (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK). Additionally, two GP/GS methods were implemented based on CMLM (named compressed BLUP; cBLUP) and SUPER (named SUPER BLUP; sBLUP). These new implementations not only boost statistical power for GWAS and prediction accuracy for GP/GS, but also improve computing speed and increase the capacity to analyze big genomic data. Here, we document the current upgrade of GAPIT by describing the selection of the recently developed methods, their implementations, and potential impact. All documents, including source code, user manual, demo data, and tutorials, are freely available at the GAPIT website (http://zzlab.net/GAPIT).
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.