SIB Bioinformatics Awards 2019: A TWMR study reveals new loci and extensive pleiotropy
Channel: SIB - Swiss Institute of Bioinformatics
Date: 2019-10-10

What you will discover: a novel transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) to identify functionally relevant genes for complex traits

Target audience: bioinformaticians and geneticists 

Speaker: Eleonora Porcu, Postdoctoral researcher at the University of Lausanne, CHUV and SIB (see biography below)

Click to access specific sections of the talk:
• Limits of GWAS: the genotype-phenotype gap 00:16
• Introducing the Transcriptome-Wide Mendelian Randomization approach (TWMR) 06:19
• Applying TWMR to identify putative causal genes 08:34
• Conclusion 13:42

Reference paper
Porcu E et al. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits, Nature Communications 2019, doi: 10.1038/s41467-019-10936-0

Any question about this talk? Contact Eleonora: eleonora.porcu@unil.ch @ElePorcu 

More about the speaker: 
Eleonora obtained her master degree in Mathematics in 2008 at the University of Cagliari (Italy), followed by a pre-doctoral position at the Institute of Genetic and Biomedical Research (IRGB). There, she developed strong skills on genome-wide association analyses and on meta-analyses of quantitative traits. In 2011 she started a PhD in Biomedical Science at the University of Sassari. During her PhD she spent more than two years at the University of Michigan where she improved her knowledge in rare variants test, next generation sequencing and imputation strategies. In 2016, she started a postdoc position at the University of Lausanne and SIB under the supervision of Zoltán Kutalik and Alexandre Reymond to work on Mendelian Randomization approaches to detect the causal effect of gene expression on complex traits. 


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