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Biostatistics Seminar Series: Advances in Mendelian Randomization

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Dear Colleagues,

The Division of Biostatistics at the Department of Preventive Medicine invites you to attend the following seminar.

Time: Monday, November 22, 2:00 PM-3:00 PM CDT

ZOOM Virtual Room Connection: Register in advance for this meeting

Speaker: Dr. Zoltán Kutalik, Associate Professor, University of Lausanne

Title: Advances in Mendelian Randomization

Abstract: First, I will motivate the need for causal inference in contrast to observational correlations. In particular, I’ll describe the principle of an instrumental variable approach heavily applied in genetic research, termed Mendelian Randomization (MR). Next, I will show four extensions of this method to different settings/assumptions: (i) In-depth quantification and correction of the bias of the most popular MR method (IVW); (ii) Modelling genetic architecture simultaneously with bidirectional causal effects in the presence of a heritable confounder; (iii) Causal inference for composite trait type exposures; (iv) estimation of non-linear causal effects. I’ll finish with two applications to omics data: first, we link differential gene expression analyses with bi-directional causal effects and finally, I’ll touch on how causal effects of different omics layers are mediated.

Bio: https://applicationspub.unil.ch/interpub/noauth/php/Un/UnPers.php?PerNum=1048220&LanCode=8&menu=coord

Publication: https://pubmed.ncbi.nlm.nih.gov/33737653/

We look forward to seeing you all among us.

Xiaoyu Liang, PhD

Assistant Professor, Division of Biostatistics

The University of Tennessee Health Science Center

Department of Preventive Medicine