𝕊torey & Tibshirani, “Statistical significance for genomewide studies,” Proceedings of the National Academy of Sciences, Jul. 2003. […] UK Biobank Imputed Genotype Data Release Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., et al. (2018). The UK Biobank … Read more →

ℝeview of concepts in probabiliy and statistics […] Review probability […] Maximum Likelihood Estimation […] Bayesian Inference […] Probability cheatsheet: this cheatsheet will be handy throughout the course for your reference. It’s a highly condensed summary of this … Read more →

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𝔽ind the class notes here […] Example of mixed effects model to account for population structure […] Relating Z-scores, p-values, and chi2 Read more →

𝕙ttps://www.icloud.com/keynote/0b9pu78RBdrSGsSRVCUWkNahg#2022-L7-Population-Structure I’ve also uploaded a powerpoint version on canvas Module/lecture 7 as a backup. […] Mills, Melinda C.; Barban, Nicola; Tropf, Felix C.. An Introduction to Statistical Genetic Data Analysis (p. 237). … Read more →

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𝕋he 2022 syllabus has all the relevant information. […] We’ll do a round of introductions. Each person will tell us the following […] Review of concepts in probabiliy and statistics […] Review probability […] Maximum Likelihood Estimation […] Bayesian Inference … Read more →

ℍere are the slides for today download link […] can be used to calculate chip heritability, genetic correlation between traits, and to attribute the inflation of summary statistics from GWAS to either polygenicity (true causal effect) or confounding due to population structure or other … Read more →

𝕋he GWAS assumption is \(\boldsymbol{Y} = \boldsymbol{X}\beta + \boldsymbol{\epsilon}\) Example with n=4 \[\begin{bmatrix} y_1 \\ y_2 \\ y_3 \\ y_4 \end{bmatrix} = \begin{bmatrix} x_1 \\ x_2 \\ x_3 \\ x_4 \end{bmatrix}\cdot \beta + \begin{bmatrix} \epsilon_1 \\ \epsilon_2 \\ \epsilon_3 \\ \epsilon_4 … Read more →