CfS Research Afternoon: Statistical challenges in large-scale genetic studies

About the event

The event will showcase

(i) statistical methods for large-scale genetic studies, and

(ii) genetic studies that require modern statistical approaches.

Our aim overall is to stimulate discussion and interaction between statisticians and researchers in genetics that will then draw the two fields closer together and potentially catalyse new collaborations.

The event will feature visitor Ken Rice (University of Washington), who will also present a short course on Meta-Analysis during his visit. 

Programme

Statistical challenges in large-scale genetic studies (114.75 KB PDF)

Schedule

12:00 Lunch and networking

12:45 Welcome

12:50 Ken Rice - Statistical problems with GWAS – and some solutions for them

13:20 Ignacy Misztal - GWAS in large animal studies – why so few QTLs identified?

13:50 Short talks

• Sara Wade - Leveraging variational autoencoders for multiple data imputation
• Ivan Pocrnic - Making big data small and small data big: the story of genomic dimensionality
• Sjoerd Beentjes - Semi-parametric efficient estimation of small genetic effects in large-scale population cohorts with TarGene
• Lijuan Wang - Prioritization of therapeutic targets for cardiovascular diseases using integrative multi-omics and machine learning analyses

14:40 Coffee break

15:00 Short talks

• Ioannis Papastathopoulos - Unveiling patterns in rare events: Statistical techniques for extreme multivariate events
• Michelle Luciano - Multivariate genome-wide association of quantitative reading achievement scores and dyslexia diagnosis
• Aris Sionakidis - challenges in integrating high dimensional biomedical data
• Ismail Ozkaraca - Divide and Conquer Approach in Genome-wide Association Studies

15:50 Closing remarks.

Registration

Registration for this event is now open.

Registration form

Organised by Torben Sell and Albert Tenesa.