Chang C.-H.WEN-CHUNG LEE2020-11-192020-11-1920001023-2141https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034448220&partnerID=40&md5=6f596f10b2bab82bff972f62a9c8e60bhttps://scholars.lib.ntu.edu.tw/handle/123456789/521794Objectives: Epidemiologists often study the relationship between a susceptibility gene and a disease using the case-control design. Due to stratification/admixture that may exist in the study population, the conventional case-control design may lead to biased estimation of 'genotype relative risks'(GRRs). This problem can be circumvented by using the 'case-parental control design' instead. Under this design, there have been three non-iterative methods for estimating GRRs proposed in the literature. Here we propose a new non-iterative method using the Mantel-Haenszel(M-H) concept. Methods: The above four methods have similar formula apart from the weighting constants. The weighting constants used in the M-H method are 1.5. Results: Monte-Carlo simulation shows that the above four methods all produce estimates that are approximately unbiased. However, the M-H method has the smallest variance and hence is the most stable among the four methods. Conclusions: The M-H method is simple to calculate and more stable than the other three non-iterative methods for the estimation of the GRRs in the case-parental control study.ChineseCase-parental control study; Epidemiologic methodology; Genetic epidemiology; Genotype relative risks; Mantel-Haenszel method[SDGs]SDG3article; case control study; genetic disorder; genetic risk; genetic susceptibility; genotype; human; risk factor; simulationjournal article2-s2.0-0034448220