Chapter title |
A Primer in Mendelian Randomization Methodology with a Focus on Utilizing Published Summary Association Data
|
---|---|
Book title |
Genetic Epidemiology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7868-7_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7867-0, 978-1-4939-7868-7
|
Authors |
Niki L. Dimou, Konstantinos K. Tsilidis |
Abstract |
Mendelian randomization (MR) is becoming a popular approach to estimate the causal effect of an exposure on an outcome overcoming limitations of observational epidemiology. The advent of genome-wide association studies and the increasing accumulation of summarized data from large genetic consortia make MR a powerful technique. In this review, we give a primer in MR methodology, describe efficient MR designs and analytical strategies, and focus on methods and practical guidance for conducting an MR study using summary association data. We show that the analysis is straightforward utilizing either the MR-base platform or available packages in R. However, further research is required for the development of specialized methodology to assess MR assumptions. |
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Researcher | 2 | 14% |
Unspecified | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Librarian | 1 | 7% |
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Nursing and Health Professions | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 36% |