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| − | This | + | This course on genetic association analysis also incorporates advances in the field of statistical genetics that have occurred in recent years. The course will be held from September 14-18, 2026. The goal of the course is to teach course participants both the theory and application of statistical methods to provide insight into the etiology of human complex traits using a variety of statistical and bioinformatic methods. |
===Course Fees=== | ===Course Fees=== | ||
| − | The cost of the 5-day course is: Academic Researchers: 975 EUR | + | The cost of the 5-day course is: Academic Researchers: 975 EUR and Private (for-profit) Companies: 1,950 EUR. The fee covers tuition, the Monday course dinner, and all course-related materials. It does not cover room or board. Housing is available for participants at nearby hotels. |
===Topics Covered=== | ===Topics Covered=== | ||
| Line 17: | Line 17: | ||
* Association analysis of qualitative and quantitative traits (rare and common variants) | * Association analysis of qualitative and quantitative traits (rare and common variants) | ||
| − | * | + | ** Obtained from genotype arrays, imputation, and exome and whole genome sequence data |
| − | * Data quality control and | + | * Data quality control (genetic and phenotype) |
| + | * Linear mixed models (LMM/GLMM) | ||
* Controlling for population admixture, substructure, and confounders | * Controlling for population admixture, substructure, and confounders | ||
| − | * Gene x gene and gene x | + | * Gene x gene and gene x environment interactions |
| + | * Imputation of variant data | ||
* Pleiotropy, mediation analysis, and Mendelian randomization (MR) | * Pleiotropy, mediation analysis, and Mendelian randomization (MR) | ||
* Heritability estimation, genetic correlations, and polygenic scores (PGS) | * Heritability estimation, genetic correlations, and polygenic scores (PGS) | ||
| Line 47: | Line 49: | ||
* '''Michael Nothnagel''' (University of Cologne) | * '''Michael Nothnagel''' (University of Cologne) | ||
| − | === | + | ====For additional information, please contact [mailto:suzannemleal@gmail.com Suzanne Leal]==== |
| − | For additional information, please contact [mailto:suzannemleal@gmail.com Suzanne Leal] | + | * [https://raw.githubusercontent.com/statgenetics/statgen-courses/refs/heads/master/schedules/Schedule_Berlin_GA_Beyond_2026.pdf Course Schedule] |
| − | + | * [https://raw.githubusercontent.com/statgenetics/statgen-courses/refs/heads/master/applications/Berlin_GA_Beyond_Application_2026.docx Application Form] | |
| − | * [https:// | + | * [https://raw.githubusercontent.com/statgenetics/statgen-courses/refs/heads/master/flyer/Berlin_GA_Beyond_flyer_2026.pdf Course Flyer] |
| − | * [https:// | + | |
| − | * [https:// | + | |
Latest revision as of 18:23, 18 May 2026
Contents
Genetic Association and Beyond:
Statistical Methods to Elucidate Complex Trait Etiology
September 14-18, 2026 Max Delbrück Center (MDC) for Molecular Medicine Berlin, Germany
This course on genetic association analysis also incorporates advances in the field of statistical genetics that have occurred in recent years. The course will be held from September 14-18, 2026. The goal of the course is to teach course participants both the theory and application of statistical methods to provide insight into the etiology of human complex traits using a variety of statistical and bioinformatic methods.
Course Fees
The cost of the 5-day course is: Academic Researchers: 975 EUR and Private (for-profit) Companies: 1,950 EUR. The fee covers tuition, the Monday course dinner, and all course-related materials. It does not cover room or board. Housing is available for participants at nearby hotels.
Topics Covered
The course curriculum includes:
- Association analysis of qualitative and quantitative traits (rare and common variants)
- Obtained from genotype arrays, imputation, and exome and whole genome sequence data
- Data quality control (genetic and phenotype)
- Linear mixed models (LMM/GLMM)
- Controlling for population admixture, substructure, and confounders
- Gene x gene and gene x environment interactions
- Imputation of variant data
- Pleiotropy, mediation analysis, and Mendelian randomization (MR)
- Heritability estimation, genetic correlations, and polygenic scores (PGS)
- Power and sample size estimation
- Permutation, family-wise error rate (FWER), and false discovery rate (FDR)
- Meta-analysis and fine mapping
- Proteomic-wide association studies (PWAS)
Computer Exercises
Hands-on exercises will be conducted using the following programs:
- ANNOVAR
- bcftool
- Fast-LMM
- GCTA
- LD clumping
- LDSC regression
- Mediation
- PLINK
- R
- REGENIE
- TwoSampleMR.
Instructors
- Suzanne Leal (Columbia University)
- Michael Nothnagel (University of Cologne)
