A likelihood ratio test for goodness-of-fit of recessive and dominant models for casecontrol studies

作者：Qian Meng; Shao Yongzhao^*

来源：Canadian Journal of Statistics, 2013, 41(2): 341-352.

DOI：10.1002/cjs.11171

• Casecontrol studies
• dominant models
• genetic epidemiology
• loss of identifiability
• recessive model

Testing goodness-of-fit of commonly used genetic models is of critical importance in many applications including association studies and testing for departure from HardyWeinberg equilibrium. Casecontrol design has become widely used in population genetics and genetic epidemiology, thus it is of interest to develop powerful goodness-of-fit tests for genetic models using casecontrol data. This paper develops a likelihood ratio test (LRT) for testing recessive and dominant models for casecontrol studies. The LRT statistic has a closed-form formula with a simple chi(2)(1) null asymptotic distribution, thus its implementation is easy even for genome-wide association studies. Moreover, it has the same power and optimality as when the disease prevalence is known in the population.

• 出版日期2013-6