Assessing the joint effect of population stratification and sample selection in studies of gene-gene (environment) interactions

BMC Genetics

Methodology Article

KF Cheng¹  JY Lee² 

[1] Biostatistics Center and Graduate Institute of Biostatistics, China Medical University, Taichung, Taiwan;Graduate Institute of Statistics, National Central University, Chungli, Taiwan;Graduate Institute of Statistics, National Central University, Chungli, Taiwan;

关键词: Simple Random Sampling;    Population Stratification;    True Type;    Orofacial Cleft;    Genetic Main Effect;   

DOI  :  10.1186/1471-2156-13-5

 received in 2011-11-23, accepted in 2012-01-27,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundIt is well known that the presence of population stratification (PS) may cause the usual test in case-control studies to produce spurious gene-disease associations. However, the impact of the PS and sample selection (SS) is less known. In this paper, we provide a systematic study of the joint effect of PS and SS under a more general risk model containing genetic and environmental factors. We provide simulation results to show the magnitude of the bias and its impact on type I error rate of the usual chi-square test under a wide range of PS level and selection bias.ResultsThe biases to the estimation of main and interaction effect are quantified and then their bounds derived. The estimated bounds can be used to compute conservative p-values for the association test. If the conservative p-value is smaller than the significance level, we can safely claim that the association test is significant regardless of the presence of PS or not, or if there is any selection bias. We also identify conditions for the null bias. The bias depends on the allele frequencies, exposure rates, gene-environment odds ratios and disease risks across subpopulations and the sampling of the cases and controls.ConclusionOur results show that the bias cannot be ignored even the case and control data were matched in ethnicity. A real example is given to illustrate application of the conservative p-value. These results are useful to the genetic association studies of main and interaction effects.

【 授权许可】

CC BY   
© Cheng and Lee; licensee BioMed Central Ltd. 2012