GenAssocStatMeth2026

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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 new course is being offered in 2026 at the MDC – Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology – that reflects advances in the field of statistical genetics which 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
  • 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)
  • Genotype arrays, imputation, exome, and whole genome sequence data
  • Data quality control and linear mixed models (LMM/GLMM)
  • Controlling for population admixture, substructure, and confounders
  • Gene x gene and gene x environmental interactions
  • 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, bcftools, Fast-LMM, GCTA, LD clumping, LDSC regression, mediation, PLINK, R, REGENIE, and TwoSampleMR.

Instructors

  • Suzanne Leal (Columbia University)
  • Michael Nothnagel (University of Cologne)

Contact and Registration

For additional information, please contact Suzanne Leal.