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Gene Mapping

General concept and statistical models for gene mapping , imputation of genotypes, reconstruction of haplotype phases, identity by descent, models and methods for population-based association mapping. Methods to control false discovery in association studies – multiple testing and population structure. Gene mapping methods include single-marker regression, mixed linear model, affected sib-pair, transmission disequilibrium test and methods that include pedigree information and population structure. Meta-analysis in GWAS. Polygenic prediction of phenotype.

Exam info and full course description

Exam info and full course description can be found in the course catalogue.    

Admission Requirements

Course specific:

To be eligible for the course applicants should have passed Quantitative Genetics, Biostatistics and General Molecular Biology or an equivalent course.   


Exchange Students: nomination from your home university

Freemovers: documentation for English Language proficiency

You can read more about the admission here.


Zexi Cai

Tenure Track assistant professor