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Workshop for Early-Career Researchers on Family-Based Genomic Analyses (Full)

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Join us for a two-day workshop for Early-Career Researchers on Family-Based Genomic Analyses. The workshop is hosted by the PsychGen Center for Genetic Epidemiology and Mental Health, Oslo – 09.04.2026 to 10.04.2026

This workshop will provide introductory lectures and hands-on training in within-family and trio-based genetic methods, including trio polygenic score analyses, trio GWAS, genomic SEM, M-GCTA/Trio-GCTA, and intergenerational mendelian randomization. We will also have short talks by early-career researchers with applications of these methods and keynote lectures from leading scientists reflecting on the past, present, and future of research in this field. This workshop is aimed at PhD students and early-career researchers (see prerequisites below). 

The workshop will be from 09.04.2026 – 10.04.2026 and taking place in a bright and modern venue with direct access to a rooftop garden in the Oslo Science Park, Oslo, Norway. 

This workshop is hosted by the PsychGen Centre at the Norwegian Institute of Public Health, which is also the home of the Norwegian Mother, Father, and Child Cohort Study (MoBa). 

Event details 

  • Fee: 3,500 NOK
  • Max attendees: 50
  • The workshop is full

Register for the workshop 

Registration for the workshop is binding and an invoice for the fee will be sent to you/your institution following the sign-up. The workshop costs 3,500 NOK (including dinner on day 1, lunch and refreshments both days).

The workshop is full and sign up is now closed 

Tentative workshop schedule

Location: Toppsenteret - Oslo Science Park, Gaustadalléen 21, Oslo, Norway

DAY 1

DAY 2

08:30 – 09:00

Registration and coffee

08:30 – 08:45

Registration and coffee

09:00 – 09:30

Welcome and general intro

Prof. Alexandra Havdahl and Dr. Robyn Wootton

08:45 – 08:50

Morning intro

Dr. Johanne Hagen Pettersen and Dr. Adrian Dahl Askelund

09:30 – 10:15

Keynote 1

Prof. George Davey Smith: When and why did epidemiology become family-orientated

08:50 – 09:35

Keynote 2

Dr. Hilary Martin: Applications of trio models to understand the genetics of neurodevelopmental disorders and traits

10:15 – 10:30

Break

 

09:35 – 09:45

Break

 

10:30 – 11:15

Session 1: Lecture

Prof. Neil Davies and Dr. Isabella Badini: Trio-GWAS

09:45 – 10:30

Session 3: Lecture

Dr. Carolina Borges and Dr. Tom Bond: Intergenerational MR

11:15 – 11:30

Break

 

10:30 – 10:45

Break

 

11:30 – 12:30

Session 1: Practical

Prof. Neil Davies and Dr. Isabella Badini: Trio-GWAS

10:45 – 11:45

Session 3: Practical

Dr. Carolina Borges and Dr. Tom Bond: Intergenerational MR

12:30 – 13:30

Lunch

 

11:45 – 12:45

Lunch

 

13:30 – 14:15

Session 2: Lecture

Prof. David Evans and Dr. Gunn-Helen Moen: Trio-GCTA/Genomic SEM

12:45 – 13:15

Short ECR talks

Dr. Tom Bond: Intergenerational MR

Dr. Perline Demange: Beyond trios

14:15 – 14:30

Break

 

13:15 – 14:00

Session 4: Lecture

Dr. Matthew Robinson: Theory and assumptions

14:30 – 15:30

Session 2: Practical

Prof. David Evans and Dr. Gunn-Helen Moen: Trio-GCTA/Genomic SEM

14:00 – 14:15

Break

 

15:30 – 15:45

Break

 

14:15 – 15:15

Session 4: Practical

Dr. Matthew Robinson: Theory and assumptions

15:45 – 16:15

Short ECR talks

Dr. Daniel Malawsky: RAVEL

Dr. Laura Hegemann: Trio-GCTA/Trio-PGS

15:15 – 15:30

Concluding remarks

Dr. Helga Ask and Dr. Laurie Hannigan

18:00

Dinner: Brasserie Blanche (2nd floor), Josefines gate 23, Oslo

 

 

 

 

Prerequisites 

To make sure the course is suitable for you and you will benefit from attending, please ensure you meet the following prerequisites before booking:  

  • You are a PhD student or early-career researcher. 
  • The workshop covers advanced topics and methods in genetic epidemiology and assumes that participants have an understanding of basic concepts within genetic epidemiology. A brief overview of basic concepts and methods will also be given during the workshop.  
  • Practical sessions will be conducted using R and so participants should have an understanding of using R for data analysis, however previous experience of within-family analyses using R is not required.  

 

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