Table 1 Summary of available models based on functional regression framework.
Model | Intercept | Covariate | Genotype | |
---|---|---|---|---|
Genetic variants | Genetic effect | |||
Beta-smooth only model | \(\:{\alpha\:}_{0}\) | \(\:{\varvec{Z}}_{i}^{T}\varvec{\alpha\:}\) | \(\:{\varvec{G}}_{i}\) | \(\:\beta\:\left(t\right)\) expanded by OLS smoother |
\(\:\beta\:\left(t\right)\) expanded by linear spline basis | ||||
Fixed effect model | \(\:{\alpha\:}_{0}\) | \(\:{\varvec{Z}}_{i}^{T}\varvec{\alpha\:}\) | \(\:{X}_{i}\left(t\right)\) expanded by OLS smoother | \(\:\beta\:\left(t\right)\) expanded by OLS smoother |
\(\:\beta\:\left(t\right)\) expanded by linear spline basis | ||||
FPCA model | \(\:{\alpha\:}_{0}\) | \(\:{\varvec{Z}}_{i}^{T}\varvec{\alpha\:}\) | \(\:{X}_{i}\left(t\right)\) expanded by functional principal component analysis | \(\:\beta\:\left(t\right)\) expanded by OLS smoother |
\(\:\beta\:\left(t\right)\) expanded by linear spline basis |