Table of contentsStatistical Methods for Population-Based Association Studies Outline Complex trait Association studies with complex traits “Variation is the spice of life” What are we looking for? Case-control data What are we looking for? Population-based data “Significant” associations “Significant” associations? Applications Test and estimate correlation between phenotype and genetic data Candidate gene association study Tests of association: single SNPs Chi-square tests Mendel’s Law? Slide 15 Slide 16 Comparing allele and genotype counts Stratification Logistic regression Logistic regression (cont.) Incorporation of Covariates Gene-environment interaction Slide 23 Additional phenotype distributions “I’m a statistician and I’m here to help!” Tests of association: multiple SNPs/haplotypes Incorporate haplotypic information into association studies Incorporate haplotypic information into association studies (cont.) Haplotype frequency comparisons Haplotype frequency estimation Methods for haplotype associations haplo.score Distribution of traits Adjusted score test Posterior weights Statistical inference for haplo.score haplo.glm haplo.glm model haplo.glm: score function Slide 40 Statistical inference for haplo.glm Why analyze haplotypes? Slide 43 2. Selection of SNPs for genotyping Identify the “most important” SNPs 4. Test for associations at the SNP and/or haplotype levels 5. Substantiate findings PowerPoint Presentation |
Author: Stephen Lake Sc.D. Homepage: https://innateimmunity.net/ |