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Joint Research Seminar (18 Feb 2016)



Joint Research Seminar

Genomics Strategic Research Theme
Centre for Genomic Sciences

Powerful Multivariate Genome-Wide
Association Analysis in the Omics Era

Dr Xia Shen

University of Edinburgh

18 February 2016 (Thu)
11:30 am – 12:30 pm

Seminar Room 1A, G/F
The Hong Kong Jockey Club Building for Interdisciplinary Research

5 Sassoon Road, Pokfulam, Hong Kong


Jointly modeling a number of phenotypes using multivariate methods has been often neglected in genome-wide association studies (GWAS). This is due to the complexity and limitation in statistical modeling, computational performance, and biological interpretation. Modern omics techniques allow characterization of functional phenomena with a large amount of related phenotypes, which can gain from joint analysis. Dr Shen and colleagues developed a complete multi-phenotype GWAS workflow, performed association analysis, and conducted replication analyses. The analysis can be applied on individual-level data or even only a set of single-trait GWAS summary statistics. Here, Dr Shen will introduce his recent works on multivariate GWAS, where novel discoveries are found in both IgG glycosylation (omics phenotypes) and complex traits such as anthropometry.

About the Speaker:

Dr Xia Shen is a statistical geneticist who received his PhD from Uppsala University. He is recently appointed as a Chancellor’s Fellow (Assistant Professor) at the University of Edinburgh and also works part-time as a PI at Karolinska Institutet. Dr Shen has developed various statistical tools and conducted novel analyses in genetic studies, e.g. the hglm and bigRR packages for random effects modeling with applications in high-throughput genomic data analysis; genome-wide association analysis of genetic variance heterogeneity; multivariate methods in genome-wide association analysis. Dr Shen is also a developer of the GenABEL project for statistical genomics.



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