親子三元體相關分析在逐次連鎖不平衡檢定方法與逐次概似函數方法之比較

Abstract

本研究使用父、母、染病孩子三元體的資料結構，分別利用統合參數概似函數及傳遞不平衡檢定，來進行連鎖分析。考慮在需要使用逐次過程的情況下，給定特定的疾病基因頻率在不同的遺傳模式下，根據本研究模擬分析顯示，使用結合統合參數概似函數和逐次機率比例檢定(SPRT)的統計量會比結合傳遞不平衡檢定（TDT）和逐次機率比例檢定的統計量到達判定界限所需的樣本數少。

In this paper, we use case-parent triad families as the data structure to demonstrate how to proceed sequential linkage analysis. We adopt two types of linkage methods, the unified-parameter likelihood method and the transmission/disequilibrium test (TDT) method, to implement this sequential test procedure. Under different genetic scenarios, our simulation studies show that the unified-parameter sequential likelihood method requires less sample sizes to reach the sequential decision boundary than the TDT sequential method.