[Forum SIS] Seminario Dr. Cosetta Minelli - Mendelian Randomisation - 9 novembre 2015

[Alessandro Marcon]

Gentilissimi/e,
il seminario, previsto per oggi, è spostato alle 13.30.

Cordiali saluti,
A Marcon


2015-10-30 11:53 GMT+01:00 Alessandro Marcon <alessandro.marcon a gmail.com>:

> Gentilissimi/e,
> vi invio un avviso di seminario, con preghiera di massima diffusione.
>
> Sede del seminario: Istituti Biologici 2, Università di Verona, strada Le
> Grazie 8 (VERONA).
>
>
> Distinti saluti,
> Alessandro Marcon
>
> Alessandro Marcon, PhD
> Unit of Epidemiology & Medical Statistics
> Department of Diagnostics and Public Health
> University of Verona
> Strada Le Grazie 8, 37134 Verona, Italy
> tel. +39 045 8027668
>
>
>
> Avviso di SEMINARIO
>
>
> Lunedì 9 novembre 2015 (ore 13.00-13.45)
>
> Aula E - Istituti Biologici 2
>
> (Università di Verona)
>
>
>
> Dr. Cosetta Minelli
>
> Senior Lecturer in Medical Statistics, National Heart and Lung Institute,
> Imperial College London
>
>
>
> *Mendelian randomization: *
>
> *The use of genes as instruments to strengthen causal inference in
> epidemiology*
>
> Mendelian randomization is an approach that uses genes as instrumental
> variables to derive unconfounded estimates of the effects of risk factors
> (e.g. biomarkers) on disease traits, and is therefore increasingly being
> used in epidemiology to distinguish causal from spurious associations.
> Since genes are randomly allocated at conception, genetic effects on a
> biomarker cannot be affected by classical confounding (e.g. lifestyle
> factors) or reverse causation (e.g. biomarker level being influenced by the
> presence of disease). Demonstration that a genetic variant known to modify
> the biomarker also modifies the disease trait represents indirect evidence
> of a causal biomarker-disease association. The validity of Mendelian
> Randomization, however, is based on instrumental variable assumptions, the
> most important being absence of pleiotropy. This talk will describe the
> approach, discuss ways to assess pleiotropy, highlight opportunities and
> challenges offered by available genome-wide data, and discuss its extension
> to the field of epigenetics (two-step epigenetic Mendelian randomization).
>
>
>
>
>
>
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