Claim · model-written summary
The EPC method fit the gene-based GWAS model well and had good statistical efficiency.
- Outcome
- statistical efficiencye0
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The EPC method fits the model well and has good statistical efficiency.”
t0“Maize”
Title
Gene-Based Genome-Wide Association Study Identified Genes for Agronomic Traits in Maize
Yunfeng Zhao; Jin Gao; Xiugang Guo; et al. Biology 2022. doi:10.3390/biology11111649
Other claims from this paper (4)
- Method / resource EPC overcame the false-negative problem of ALLSNP.
- Method / resource EPC resolved the false-positive problem of EPCLM.
- Method / resource EPC had higher statistical efficiency than FPC.
- Observation The analyses identified 132 quantitative trait genes for the specified maize traits and datasets.