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Gain of power of the general regression model compared to Cochran-Armitage Trend tests: simulation study and application to bipolar disorder
BACKGROUND: Most genome-wide association studies assumed an additive model of inheritance which may result in significant loss of power when there is a strong departure from additivity. The General Regression Model (GRM), which allows performing an assumption-free test for association by testing for...
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| I publikationen: | BMC Genet |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5345257/ https://ncbi.nlm.nih.gov/pubmed/28283021 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12863-017-0486-6 |
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