Mendelian randomization

Mendelian randomization: methods for using genetic variants in causal estimation

by Burgess, Stephen

Type Book
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Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation provides thorough coverage of the methods and practica…

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Title Statements

  • Full title :Mendelian randomization : methods for using genetic variants in causal estimation / by Stephen Burgess, Simon G. Thompson.

Summary

Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization spanning epidemiology, statistics, genetics, and econometrics. Although the book mainly focuses on epidemiology, much of the material can be applied to other areas of research. Through several examples, the first part of the book shows how to perform simple applied Mendelian randomization analyses and interpret their results. The second part addresses specific methodological issues, such as weak instruments, multiple instruments, power calculations, and meta-analysis, relevant to practical applications of Mendelian randomization. In this part, the authors draw on data from the C-reactive protein Coronary heart disease Genetics Collaboration (CCGC) to illustrate the analyses. They present the mathematics in an easy-to-understand way by using nontechnical language and reinforcing key points at the end of each chapter. The last part of the book examines the potential of Mendelian randomization in the future, exploring both methodological and applied developments. This book gives statisticians, epidemiologists, and geneticists the foundation to understand issues concerning the use of genetic variants as instrumental variables. It will get them up to speed in undertaking and interpreting Mendelian randomization analyses. Chapter summaries, paper.

Summaries, web-based applications, and software code for implementing the statistical techniques are available on a supplementary website.

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Edition Statements

  • Publication Date:©2015

Publication Statements

  • Publisher(s):CRC Press
  • Place of Publication:Boca Raton, Florida
  • Language:eng
  • Publication Date:©2015

The Physical Object

  • Description:1 online resource (222 pages).

Edition Identifiers

  • ISBN:9781466573185, 146657318X
  • oclc:ocn905859603
  • LC Classification:RB155
  • Dewey Decimal:616.042

Table of 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; Dis…

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Subjects

Epidemiologic Methods Genetics, Medical Génétique médicale Génétique médicale -- Méthodes statisti… Medical genetics Medical genetics -- Statistical methods Statistics Statistics as Topic Statistiques

Writers

Burgess, Stephen Thompson, Simon G.

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