[Forum SIS] Webinar of Matteo Sesia @ Unimib

[Aldo Solari]

Dear all,

We are glad to announce the next DEMS Statistics Webinar, organized by the
Department of Economics, Management and Statistics (DEMS) of the University
of Milano - Bicocca.

Speaker: Matteo Sesia <https://msesia.github.io/>, USC Marshall School of
Business, United States

Wednesday, December 2nd, 2020, time 18.00 (CET).

Event address for attendees:
https://unimib.webex.com/unimib/onstage/g.php?MTID=e11a0c816ae057bc73b913afde3748935

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Title:

Negative control variables for testing conditional genetic associations

Abstract:

Genome-wide association studies measure hundreds of thousands of genetic
variants in large cohorts, aiming to discover biologically meaningful
relationships with a phenotype of interest. The statistical analysis of
these data is challenging because the problem is high-dimensional, the
explanatory variables are not independent of each other, the unknown model
linking genotypes with phenotypes may be complex, and different sources of
confounding complicate the interpretation of any findings.
This talk will discuss recent methods that address these difficulties by
testing the conditional independence of a phenotype with a variant, or a
subset thereof. The main idea is to approximate the distribution of
genotypes in a population with hidden Markov models, and then simulate
synthetic variables to be used as negative controls.
These solutions control the false discovery rate (FDR) and produce results
that are directly interpretable, sometimes even in a formal causal sense.

References:

 1) Gene hunting with hidden Markov model knockoffs (
https://academic.oup.com/biomet/article/106/1/1/5066539)
 2) Multi-resolution localization of causal variants across the genome (
https://www.nature.com/articles/s41467-020-14791-2)
 3) Causal inference in genetic trio studies (
https://www.pnas.org/content/117/39/24117)
 4) Controlling the false discovery rate in GWAS with population structure (
https://www.biorxiv.org/content/10.1101/2020.08.04.236703v1.abstract)

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The webinar is part of the series of DEMS Statistics Webinars organized by
the Department of Economics, Management and Statistics (DEMS) of the
University of Milano - Bicocca. More details can be found here
<https://dems.unimib.it/it/argomento-eventi/seminars/dems-seminars>.
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