Claim · model-written summary
QTCAT better reflects the polygenic nature of complex traits than single-marker methods.
- Outcome
- reflects the polygenic nature of complex traitse2
- Direction
- bettere2
- Comparator
- single-marker methodse2
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Verbatim
e2“reflects the polygenic nature of complex traits better than single-marker methods”
Title
Jonas R. Klasen; Elke Barbez; Lukas Meier; et al. Nature Communications 2016. doi:10.1038/ncomms13299
Other claims from this paper (4)
- Method / resource On simulated data, QTCAT clearly outperforms linear mixed model approaches.
- Method / resource Reanalysis of public Arabidopsis GWA data with QTCAT revealed nearly all known associations and some previously undetected associations.
- Observation Following up the most significant novel Arabidopsis association identified a so far unknown component of root growth.
- Method / resource QTCAT overcomes the need for population structure correction.