Arya R, Duggirala R, Williams J T, Almasy L, Blangero J
Division of Clinical Epidemiology, Department of Medicine, University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
Genet Epidemiol. 2001;21 Suppl 1:S774-8. doi: 10.1002/gepi.2001.21.s1.s774.
We used the simulated general population data for Genetic Analysis Workshop 12 to test whether power to localize the major gene for liability to disease is increased after accounting for the effects of correlated quantitative phenotypes. We performed the multipoint variance-component linkage analyses for the discrete trait twice: first analysis with age, sex, and EF1 as covariates, and the second analysis with age, sex, EF1, and Q1-Q5 as covariates. Major locus heritability (h2q) (0.80 +/- 0.06) and lod score (6.4) averaged over the number of replicates used are significantly higher in the second analysis compared with the first analysis (h2q = 0.39 +/- 0.12, lod = 2.6). Thus, in the present analysis, power to detect linkage and localize the genes for liability to disease appears to be increased after accounting for the effects of five quantitative traits that are correlated with the liability.
我们使用遗传分析研讨会12的模拟总体人群数据,来检验在考虑相关定量表型的影响后,定位疾病易感性主要基因的能力是否有所提高。我们对离散性状进行了两次多点方差成分连锁分析:第一次分析将年龄、性别和EF1作为协变量,第二次分析将年龄、性别、EF1和Q1-Q5作为协变量。与第一次分析(h2q = 0.39 +/- 0.12,lod = 2.6)相比,第二次分析中,所用重复次数的主要位点遗传力(h2q)(0.80 +/- 0.06)和对数优势分数(6.4)显著更高。因此,在本分析中,在考虑了与疾病易感性相关的五个定量性状的影响后,检测连锁和定位疾病易感性基因的能力似乎有所提高。