Bayesian Statistics for Genetics - Swiss Institute in Statistical Genetics - Module 1

4 - 6 September 2017 (2,5 days)

A joint course with the CUSO Doctoral Program in Ecology & Evolution

Organisers: Prof. Jérôme Goudet, University of Lausanne (CH) & Swiss Institute of Bioinformatics
Prof. Bruce Weir, University of Washington (US)

Venue: Université de Lausanne


In this introductory module we will begin by discussing introductory probability.

We will then describe Bayesian approaches to binomial proportions, multinomial proportions, two-sample comparisons (binomial, Poisson, normal), the linear model, and Monte Carlo methods of summarization.

Advanced topics will be touched on, including hierarchical models, generalized linear models, and missing data.

Illustrative applications will include: Hardy-Weinberg testing and estimation, detection of allele-specific expression, QTL mapping, testing in genome-wide association studies, mixture models, multiple testing in high throughput genomics.

Background Reading: P.D. Hoff (2009). A First Course in Bayesian Statistical Methods. Springer-Verlag.


General information

Date: 4 - 5 September (all days) & 6 September 2017 (morning) (2,5 days)

Schedule: 09h00-12h00 and 13h30-17h30

Venue:  University of Lausanne, room to be announced

ECTS: 1.5 (Research tools)

Evaluation: Full attendance and active participation

Information: Please contact the CUSO E&E doctoral program coordinator Caroline Betto-Colliard @: ecologie-evolution@cuso.ch, phone: +41 (0)21 692 42 44

  • Please bring your laptop to the course!

Registration fee: Free for participants belonging to a CUSO University (UniBE, UniFR, UniGE, UniL & UniNE) and PhD students of the DP-biol

Travel expenses: For participants of the Interuniversity doctoral program in organismal biology (DP-biol ): see reimbursement conditions

For participants of the CUSO doctoral program in Ecology and Evolution: see CUSO E&E web site

MAKE SURE you SIGN the ATTENDANCE LIST EACH and EVERY DAY and TAKE your ATTESTATION of ATTENDANCE at the END of the COURSE (no attestation will be sent by mail)


!PREREQUISITE! Have attended the course "An Introduction to R" or a similar course.

Registration through the CUSO Doctoral Program in Ecology and Evolution web site closed