![photo of George Davey Smith](https://www.cdc.gov/genomics/images/smith_george.jpg)
Professor George Davey Smith
MA Oxon. MB B.Chir (Cantab), MSc (London), MD (Cantab), DSc (Oxon)and Professor of Clinical EpidemiologyBristol Medical School: Population Health Sciences
Bristol, United Kingdom
MA Oxon. MB B.Chir (Cantab), MSc (London), MD (Cantab), DSc (Oxon)and Professor of Clinical EpidemiologyBristol Medical School: Population Health Sciences
Bristol, United Kingdom
November 27 Public Health Genomics Webinar: What is Mendelian Randomization?
This week, we feature our upcoming 10th public health genomics webinar for 2018.
The seminar is entitled: What is Mendelian Randomization and How Can it be Used as a Tool for Medicine and Public Health? Opportunities and Challenges. By George Davey Smith, November 27, 2018, 3:00-4:00 pm ET.
Free registration is required. Register today!
![image of a flowchart: Counfounders to exposure and outcome - with Genetic variant to the Exposure and Outcome](https://www.cdc.gov/genomics/images/2018-11_randomization-small.jpg)
Dr. Davey Smith will give an overview of the field of Mendelian Randomization, and the opportunities it provides for assessing causal inference in medicine and public health, some of its methodologic limitations, as well as related approaches than can contribute to precision medicine and population health. He will use examples from cancer, cardiovascular diseases and other fields to illustrate this approach (40 minutes)
Discussion: This includes Q&As with speaker about his presentation. We will also focus on the future science agenda for Mendelian Randomization. (20 minutes)
Mendelian randomization is a method of using measured variation in genes of known function to examine the causal effect of a modifiable exposure on disease in observational studies. The design was first proposed in 1986 by Gray and Wheatley as a method for obtaining unbiased estimates of the effects of a putative causal variable without conducting a traditional randomised trial. These authors also coined the term Mendelian randomization. The design has a powerful control for reverse causationand confounding which otherwise bedevil epidemiological studies
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