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Introduction in Genome-Wide Data Analysis

Date of Appearance: 
Mar 20, 2017
Duration of the course: 
Jul 17, 2017 to Jul 21, 2017
Application Deadline: 
Jun 1, 2017

Introduction in Genome-Wide Data Analysis

Date of Appearance: 
Mar 20, 2017
Duration of the course: 
Jul 17, 2017 to Jul 21, 2017
Application Deadline: 
Jun 1, 2017

Course Details

Summer Schools
Credits or certification after course completion: 
Participants who joined at least 80% of all sessions can obtain a certificate of participation upon request. Furthermore, participants who are interested in obtaining formal study credits (3 ECTS) can complete an essay assignment at the end of the course
Study Options: 
Full-Time

Course Fees

Regular Fee: 
€1 450,00
International Student Fee: 
€950,00
Comment: 
There is a reduced fee for PhD and Master Students of € 950.

Location of Course

Location: 
Gustav Mahlerplein 117
1082 MS Amsterdam
Netherlands

Introduction in Genome-Wide Data Analysis | July 17-21

Application deadline: June 1, 2017.

Tinbergen Institute is once again organising the exciting interdisciplinary summer school ‘Introduction in Genome-Wide Data Analysis’. This summer course is taught by Philipp Koellinger and Niels Rietveld, two leading experts in the field. Guest lecturers will be invited. 

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.

Requirements

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.

We are currently finalizing the course outline of 2017. In the meantime, you may browse the 2016 course outline on http://www.tinbergen.nl/tinbergen-institute-summer-school/genome-wide-da... to get an idea of the programme.

Prerequisites:

  • Copies of transcripts
  • We welcome (research) master students, PhD students, post-docs, & professionals from various disciplines who are interested in learning state-of-the art methods for genome-wide data analysis

Language Requirements: 
English

Class Size: 
20 - 30 students

Average % of International Students: 
around 100%

Course Instructors/Professors:

  • Prof. Philipp Koellinger
  • Dr. Niels Rietveld

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