基于这些不足,本方法的作者们期望使用所有SNP的信息,并明确的将LD纳入模型,来估计每个功能分类的SNP遗传力,以提升power。 本方法是在基础的LD分数回归上的延伸,可以参考: 连锁不平衡分数回归 LD score regression GWASLab:通过Bivariate LD Score regression估计遗传相关性 genetic correlation 在此之前分割SNP遗传力的...
The narrow-sense heritability (h2) of EGPA was estimated using LD-score regression48. LD scores were calculated using the European 1000 Genomes Project reference panel. To estimate the contribution of the MHC to heritable phenotypic variance we performed a variance-components analysis using BOLT-REML...
The LD score calculation is adapted fromldsc. SeeBulik-Sullivan, et al. LD Score Regression Distinguishes Confounding from Polygenicity in Genome-Wide Association Studies. Nature Genetics, 2015.
In Stage 2, the user specifies an SEM in which gene expression is associated with the multivariate system of heritable phenotypes via regression or covariance relationships with components of the model. In our empirical application, the SEM consists of a general factor indexing genetic overlap across...
After controlling for long-term trends, day of the week, and meteorological factors, we employed a time-stratified case-crossover design based on conditional logistic regression to assess the association between concentrations of the four pollutants (PM2.5, PM10, SO2, and CO) and hospital ...
binary logistic regression with the physical fitness, body composition, physical activity, health condition, and environmental hazards variables selected as the key risk factors/outcomes for falls,p < 0.05. The equation resulting from multivariate binary logistic regression modelling was the following...
Regression coefficients with 95% CIs were used to signify the differences between stratified blended physiotherapy and face-to-face physiotherapy. Analyses were adjusted for baseline values of clinical outcome measures (eg, utility score and physical functioning) and variables with a substantial difference...