Statistical models used for GWAS (Lecture 7)
Statistical models used for GWAS The seventh and last lecture of the H3ABioNet 2018 GWAS lecture series will cover different types of GWAS depending on data designs: Population-based GWAS (for case/control design or for quantitative traits) and Family-based GWAS (for independent trio data or large pedigrees). This lecture will also provide an overview of test statistics for multi-marker association testing in both type of GWAS. It will discuss the problem of multiple testing, the principal of family wise error rate (FWER) and some proposed methods for P-values correction. The lecture will finally present a set of tools to perform GWAS and to represent results.

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Introduction of Statistical Models for GWAS and GS

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Vorlesung 17: Einführung in die Elliptische-Kurven-Kryptografie (ECC) von Christof Paar

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MPG Primer: GWAS and secondary analyses of GWAS results (2018)

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Normality Tests in R

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Gil Strang's Final 18.06 Linear Algebra Lecture

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Computational requirements for running the H3ABioNet GWAS workflows (Lecture 1)

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Genome-Wide Association Studies (GWAS) using R by Andy Chen | Tunis R User Group | Workshop #2

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MPG Primer: Linear Models for GWAS Analysis (2025)

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Analogrechnen (eh17)

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The fragile foundation of inferential statistics

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Vorlesung 5: Die DES-Verschlüsselung von Christof Paar

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Genome-Wide Association Studies (GWAS), Part 1

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GWAS Analysis in R: By Catherine Danmaigona Clement

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ANOVA in RStudio Part 1 | Visualization, Normality Assumption, Homogeneity of Variance

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MPG Primer: Genome-Wide Association Studies (GWAS): A Refreshed Perspective (2024)

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6. Monte Carlo Simulation

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Sisay Kidane - GWAS identifies QTLs for yellow rust resistance in Ethiopian durum wheat

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How to Start Coding | Programming for Beginners | Learn Coding | Intellipaat
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Beginner to T-SQL [Full Course]

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