2019 Problem Sets

Participants were asked to complete a total of four problem sets throughout the Summer Institute. See below for the 2019 Problem Sets and a "Formulas and Glossary" document that may be helpful in answering the problem sets. 

        Formulas and Glossary           

        Problem Set 1   

        Problem Set 2

 

        Problem Set 3

​        Problem Set 4

2019 Reading List

Participants were asked to complete a set of required readings prior to the Summer Institute. See below for the 2019 Reading List which includes optional readings that may be helpful in enhancing content learned during the Summer Institute. 

        Reading List

2019 Lecture Videos

         Lecture 1 - Dan Benjamin - Welcome & Camp Outline  [Slides]

         Lecture 2 - Dalton Conley - The Social Genome [Slides]

         Lecture 3 - David Cesarini: Heritability I—Definition and Interpretation [Slides]

​         Lecture 4 - Paige Harden - Using Genetic Data in Psychology [Slides]

​         Lecture 5 - David Cesarini - Heritability II—Twin and Adoption Studies [Slides]

         Lecture 6 - Andrea Byrnes - Molecular Biology Primer [Slides]

         Lecture 7 - Andrea Byrnes - Human Genetics I [Slides]

         Lecture 8 - Andrea Byrnes - Human Genetics II [Slides]

   

         Lecture 9 - Andrea Byrnes - Measuring Genetic Variation [Slides]

         Lecture 10 - Dan Benjamin - Gene Discovery I—Power, Candidate Genes [Slides]

         Lecture 11 - Michelle Meyer - Ethical Uses of Social-Science Genomics [Slides]

         Lecture 12 – Dan Benjamin - Gene Discovery II—GWAS [Slides]

         Lecture 13 - Patrick Turley - Gene Discovery III—Winner’s Curse and Stratification  [Slides]

         Lecture 14 - Aysu Okbay - Quality Control of Genomic Data [Slides]

         Lecture 15 - Raymond Walters - LD Score Regression I, Heritability and Partitioning  [Slides]

         Lecture 16 - Patrick Turley - Polygenic Scores [Slides]

         Lecture 17 - Alicia Martin - Polygenic Scores And Eurocentric Bias [Slides]

         Lecture 18 - Raymond Walters - LD Score Regression II, Genetic Correlation [Slides]

         Lecture 19 - James Lee - Population Genetics [Slides]

         Lecture 20 - Loïc Yengo - Assortative Mating [Slides]

         Lecture 21 - Matthew Keller - Gene-Environment Interactions [Slides]

         Lecture 22 - Patrick Turley - Polygenic Scores II [Slides]

         Lecture 23 - Alexander Young - Gene-Environment Correlation and Genetic Nurture [Slides]

         Lecture 24 - Jonathan Beauchamp - Mendelian Randomization [Slides]

         Lecture 25 - Lauren Schmitz - Epigenetics and Social Science [Slides]

         Lecture 26 - Tonu Esko - Functional Genomics and Development [Slides]

         Lecture 27 - Silvia Helena Barcellos - Applications in Social Science I [Slides]

         Lecture 28 - Philipp Koellinger - Applications in Social Science II [Slides]

         Lecture 29 - Dan Benjamin, David Cesarini, and Patrick Turley - The Future of Social-Science Genomics [Slides]