King T M, Zhu D, Amos C I
Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston 77030, USA.
Genet Epidemiol. 1995;12(6):771-5. doi: 10.1002/gepi.1370120640.
This paper examines two approaches for the analysis of quantitative traits: (1) association studies and (2) linkage studies. The trait studied was Q1 from simulated Problem 2 data set in Genetic Analysis Workshop 9. Our purpose was to evaluate associations present in the data, to identify nongenetic and genetic predictors of the trait, and to explore the simulated genome for linkage. Through the association study, we found evidence for the primary major gene associated with this trait. The linkage study found evidence of residual genetic effect acting through other traits. Adjustments of Q1 for Q2 and Q3 led to a failure to find significant effects of MG2 and MG3. This supports the suggestion that adjustment for genetically influenced traits for effects of other genetic traits can reduce the power to detect major gene effects. In summary, we detected the major gene directly associated with the trait of interest through association studies. Linkage analysis detected evidence for two other genes associated to a lesser degree with the trait.
（1）关联研究和（2）连锁研究。所研究的性状是遗传分析研讨会9模拟问题2数据集中的Q1。我们的目的是评估数据中存在的关联，识别该性状的非遗传和遗传预测因子，并在模拟基因组中探索连锁情况。通过关联研究，我们发现了与该性状相关的主要主基因的证据。连锁研究发现了通过其他性状起作用的残余遗传效应的证据。对Q1进行Q2和Q3的调整导致未能发现MG2和MG3的显著效应。这支持了这样一种观点，即对受遗传影响的性状进行其他遗传性状效应的调整会降低检测主基因效应的能力。总之，我们通过关联研究检测到了与感兴趣性状直接相关的主基因。连锁分析检测到了另外两个与该性状关联程度较低的基因的证据。
