Lee Wen-Chung
Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan.
Am J Epidemiol. 2003 Sep 1;158(5):397-400. doi: 10.1093/aje/kwg150.
The future of genetic studies of complex human diseases will rely more and more on the epidemiologic association paradigm. The author proposes to scan the genome for disease-susceptibility gene(s) by testing for deviation from Hardy-Weinberg equilibrium in a gene bank of affected individuals. A power formula is presented, which is very accurate as revealed by Monte Carlo simulations. If the disease-susceptibility gene is recessive with an allele frequency of < or = 0.5 or dominant with an allele frequency of > or = 0.5, the number of subjects needed by the present method is smaller than that needed by using a case-parents design (using either the transmission/disequilibrium test or the 2-df likelihood ratio test). However, the method cannot detect genes with a multiplicative mode of inheritance, and the validity of the method relies on the assumption that the source population from which the cases arise is in Hardy-Weinberg equilibrium. Thus, it is prone to produce false positive and false negative results. Nevertheless, the method enables rapid gene hunting in an existing gene bank of affected individuals with no extra effort beyond simple calculations.
复杂人类疾病的基因研究未来将越来越依赖于流行病学关联范式。作者提议通过检测患病个体基因库中偏离哈迪-温伯格平衡的情况来扫描基因组以寻找疾病易感基因。文中给出了一个功效公式,蒙特卡罗模拟显示该公式非常准确。如果疾病易感基因是隐性的,其等位基因频率≤0.5,或者是显性的,其等位基因频率≥0.5,那么采用本方法所需的样本量比采用病例-双亲设计(使用传递/不平衡检验或二维似然比检验)所需的样本量要小。然而,该方法无法检测具有乘积遗传模式的基因,并且该方法的有效性依赖于病例所来自的源人群处于哈迪-温伯格平衡这一假设。因此,它容易产生假阳性和假阴性结果。尽管如此,该方法能够在现有的患病个体基因库中快速进行基因搜寻,除了简单计算外无需额外的工作。