**Please note: this site is for Professor Mezey's Quantitative Genomics Class. For more information on Professor Mezey, please see his ****Cornell Departmental profile**** and his ****Research Site****.**

For two decades, Professor Mezey taught the course **Quantitative Genomics and Genetics**, offered simultaneously at Cornell University (Ithaca, New York) and Weill Cornell Medicine (New York, New York). The course provides a rigorous treatment of analysis techniques used to understand complex genetic systems, including both the fundamentals and advances in statistical methodology used to identify genetic loci impacting disease, agriculturally relevant, and evolutionarily important phenotypes. Full course availability is restricted to students at Cornell University, Cornell Tech, Weill Cornell Medicine, Memorial Sloan Kettering, and Rockefeller University where over a thousand students among these institutions have taken the course. While access to the full course is limited, the lecture slide decks and videos for Spring 2024 - the last time the course was offered by Dr. Mezey - are made available here under the following conditions of use: **no person or entity is allowed to use these course material - or anything derived from course materials - for any for-profit purposes, directly or indirectly****.** Please contact the Department of Computational Biology at Cornell University for any additional information.

**Quantitative Genomics and Genetics - Spring 2024**

**Lecture 1 (Jan 23) - Logistics / Intro to Quant Gen**

**Lecture 2 (Jan 25) - Probability Basics**

**Lecture 3 (Jan 30) - Conditional Probability / Random Variables**

**Lecture 4 (Feb 1) - Random Vectors**

**Lecture 5 (Feb 6) - Expectations and Variances**

**Lecture 6 (Feb 8) - Covariances / Probability Models**

**Lecture 8 (Feb 15) - Statistics / Estimators**

**Lecture 8 (Feb 15) - whiteboard**

**Lecture 9 (Feb 20) - Maximum Likelihood Estimation**

**Lecture 9 (Feb 20) - whiteboard**

**Lecture 10 (Feb 22) - MLE / CI**

**Lecture 11 (Feb 29) - Hypothesis Testing 1**

**Lecture 11 (Feb 29) - whiteboard**

**Lecture 12 (March 5) - Hypothesis Testing 2**

**Lecture 13 (March 7) - Genetic Probability Model**

**Lecture 13 (March 7) - whiteboard**

**Lecture 14 (March 12) - Genetic Inference**

**Lecture 15 (March 14) - Genetic Hypothesis Testing**

**Lecture 16 (March 19) - Introduction to GWAS**

**Lecture 17 (March 21) - GWAS Analysis**

**Lecture 18 (March 26) - GWAS Statistical Issues**

**Lecture 19 (March 28) - Covariates / QQ Plots**

**Lecture 20 (April 9) - Population Structure**

**Lecture 21 (April 11) - Minimal GWAS**

**Lecture 22 (April 16) - Logistic Regression 1**

**Lecture 22 (April 16) - whiteboard**

**Lecture 23 (April 18) - Logistic Regression 2**

**Lecture 24 (April 23) - Logistic Regression 3**

**Lecture 25 (April 25) - Mixed Models**

**Lecture 26 (April 30) - Bayesian Statistics 1**

**Lecture 27 (May 2) - Bayesian Statistics 2**

**Lecture 28 (May 7) - Classic Quantitative Genetics**

**End QuantGen 2024**

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