Mendelian randomization : methods for using genetic variants in causal estimation /: methods for using genetic variants in causal estimation. ([2015])

• Record Type: Book
• Further Information: Note: Stephen Burgess, Simon G. Thompson.
• Authors: Burgess, Stephen; Thompson, Simon G
• Contents: Using Genetic Variants as Instrumental Variables to Assess Causal Relationships; Introduction and motivation; Shortcomings of classical epidemiology; The rise of genetic epidemiology; Motivating example: The inflammation hypothesis; Other examples of Mendelian randomization; Overview of book; Summary What is Mendelian randomization?; What is Mendelian randomization?; Why use Mendelian randomization?; A brief overview of genetics; Summary Assumptions for causal inference; Observational and causal relationships; Finding a valid instrumental variable; Testing for a causal relationship; Estimating a causal effect; Summary Methods for instrumental variable analysis; Ratio of coefficients method; Two-stage methods ; Likelihood-based methods; Semi-parametric methods; Efficiency and validity of instruments ; Computer implementation; Summary Examples of Mendelian randomization analysis; Fibrinogen and coronary heart disease; Adiposity and blood pressure; Lipoprotein(a) and myocardial infarction; High-density lipoprotein cholesterol and myocardial infarction; Discussion Generalizability of estimates from Mendelian randomization; Internal and external validity; Comparison of estimates; Discussion; Summary Statistical Issues in Instrumental Variable Analysis and Mendelian Randomization; Weak instruments and finite-sample bias; Introduction; Demonstrating the bias of IV estimates; Explaining the bias of IV estimates; Properties of IV estimates with weak instruments; Bias of IV estimates with different choices of IV; Minimizing the bias of IV estimates; Discussion; Key points from chapter Multiple instruments and power; Introduction ; Allele scores; Power of IV estimates; Multiple variants and missing data; Discussion; Key points from chapter Multiple studies and evidence synthesis; Introduction; Assessing the causal relationship; Study-level meta-analysis; Summary-level meta-analysis; Individual-level meta-analysis; Example: C-reactive protein and fibrinogen; Binary outcomes; Discussion; Key points from chapter Example: The CRP CHD Genetics Collaboration; Overview of the dataset; Single study: Cardiovascular Health Study; Meta-analysis of all studies; Discussion; Key points from chapter Prospects for Mendelian Randomization; Future directions; Methodological developments; Applied developments; Conclusion Bibliography Index
• Publisher Details: Boca Raton, FL : CRC Press, Taylor & Francis Group
• Publication Date: 2015
• Extent: 1 online resource, illustrations
• Subjects: 616/.042015195; Medical genetics -- Statistical methods; Genetic epidemiology -- Statistical methods; Genetics, Medical; Statistics as Topic; Epidemiologic Methods; Medical genetics -- Statistical methods
• Languages: English
• ISBNs: 9781466573185
• Related ISBNs: 146657318X; 9781466573178; 1466573171
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.