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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
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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 both additive effect and deviation from additive effect, may be more appropriate for association tests. |