This summer school aims at providing guidelines on optimal practice in designing, analyzing, and interpreting genetic epidemiological studies, for those who would like to actively analyze DNA sequencing from whole genome sequencing or whole exome sequencing studies (NGS), genome-wide association studies (GWAs), candidate gene or even single genetic marker studies. Knowledge and awareness about all steps of a genetic epidemiological study, including planning, data preparation, quality control or statistical analysis will be considered as this is crucial for the cost-efficient use of these data. Special attention will be given to data generation and quality control procedures of sequencing and genotyping technologies. Confounding due to population heterogeneity, i.e., population stratification, or multi-ethnic populations and cryptic relatedness are important in genetic studies. Approaches to take these challenges into account will be discussed. The concepts of imputing missing genotypes and haplotype inference will be explained. Replication and meta-analysis are commonly used in genetic epidemiological studies, and these concepts will be introduced. Finally, Mendelian randomization and the underlying assumptions will be explained.