Netherlands, Amsterdam

Introduction in Genome-Wide Data Analysis

when 11 July 2016 - 15 July 2016
language English
duration 1 week
credits 3 ECTS
fee EUR 950

Tinbergen Institute organizes an exciting interdisciplinary summer school in the new field of genoeconomics entitled: ‘Introduction in Genome-Wide Data Analysis’.

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.

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

Course leader

Lectures will be given by TI fellows Prof. Dr. Philipp Koellinger, and tutorials by Dr. Niels Rietveld.

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 aim

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.

Credits info

3 ECTS
Tinbergen Institute will provide a certificate describing the contents and level of the course. Course load can be expanded to 6 ECTS based on an additional assignment (more information during the course).

Fee info

EUR 950: Reduced fee for PhD and Master Students.
Included in the fee are lunches and coffee/tea during short breaks.

Accommodation costs are not covered by this fee. The TI Summer School will offer housing options upon request. Participants are expected to arrange their own accommodation.
EUR 1450: Regular fee.
Included in the fee are lunches and coffee/tea during short breaks.

Accommodation costs are not covered by this fee. The TI Summer School will offer housing options upon request. Participants are expected to arrange their own accommodation.

Scholarships

No.