HIGHLIGHTS
SUMMARY
It has been shown that the proportional hazard model can increase the power to detect genetic variants associated with the ageof-onset of TTE phenotypes in cohort studies compared to modeling the disease status using a logistic regression model, especially for common events12-14. The method, Genetic Analysis of Time-to-Event phenotypes (GATE), transforms the likelihood of a multivariate Gaussian frailty model into a modified Poisson generalized linear mixed model (GLMM20,42) likelihood, employs several state-of-the-art optimization techniques to fit the modified GLMM under the null hypothesis, and then performs . . .
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