Introduction in Genome-Wide Data Analysis

Short subject description

The goal of the summer school is to introduce researchers from various fields to key concepts, state-of-the-art methods, and computer tools in statistical genetics that can be applied in the social and medical sciences. The course will be highly quantitative and interactive, covering topics such as the estimation and interpretation of heritability using molecular genetic data, genetic association studies, polygenic prediction, and identification strategies to isolate causal effects using genetic insights. It will emphasize methodological issues such as appropriate study design, data integrity, multiple testing, detecting and controlling for potential confounds, as well as factors influencing the accuracy of polygenic scores.

Target group

The summer school welcomes (research) master students, PhD students, post-docs, and professionals from various disciplines (e.g. behavioral genetics, economics, medicine, sociology, political sciences, psychology) who are interested in learning state-of-the art methods for genome-wide data analysis.

The summer school will attempt to “bridge” specific knowledge gaps that participants from different backgrounds may have. Specifically, social scientists will get a short, formal introduction to genetics, while students from medicine or genetics will benefit from the formal treatment of statistical methods and the discussion of how investigating the genetics of social scientific outcomes may lead to medically relevant insights.
A formal background in statistics or econometrics is required from students (at the level of a first year course in a graduate school PhD program in economics, psychology, or epidemiology), but no formal background in genetics will be assumed. The course is taught in English and will be accessible to students from both in- and outside the Netherlands.

Course outline

The summer school will consist of 5 lectures in the morning (3 hours each) and 5 computer tutorials in the afternoon (2 hours each).


Philipp Koellinger is a professor in genoeconomics at the department of Economics of the School of Business and Economics at the Vrije Universiteit Amsterdam. He is one of the co-founders and principal investigators of the Social Science Genetic Association Consortium (SSGAC).

Ronald de Vlaming is assistant professor at the department of Economics of the Vrije Universiteit Amsterdam. He is affiliated with the Erasmus University Rotterdam Institute for Behavior and Biology (EURIBEB), and member of the Social Science Genetic Association Consortium (SSGAC).

More Information

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Summer schools

Certifications & Titles

Certificate, Participants who joined at least 80% of all sessions will receive a certificate of participation stating that the summer school is equivalent to a work load of 3 ECTS. Note that it is the student’s own responsibility to get these credits registered at their own university.

Study Options

Full Time


Regular fees: 1450 EUR

International Fees : 950 EUR


Tinbergen Institute Summer School

Our courses are aimed for students who are up for a challenging and academically rigorous program.

The small class size makes it easy to interact with the lecturers and to fully explore the specific field.

Complete List of 2019 Summer Courses:

Crash Course in Experimental Economics | August 19-24 in Amsterdam

Introduction in Genome-Wide Data Analysis | July 22-26 in Amsterdam

Research on Productivity, Trade, and Growth: Theory and Practice | July 8-12 in Amsterdam

Econometric Methods for Forecasting and Data Science | August 19-23 in Amsterdam


Gustav Mahlerplein 117, 1082 MS

Amsterdam , Netherlands

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Summer schools

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