Mendelian Randomization
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Mendelian Randomization
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Author : Stephen Burgess
language : en
Publisher: CRC Press
Release Date : 2015-03-06
Mendelian Randomization written by Stephen Burgess and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-06 with Mathematics categories.
Presents the Terminology and Methods of Mendelian Randomization for Epidemiological StudiesMendelian 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 disea
Mendelian Randomization Approach And Applications
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Author : Lei Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2021-11-24
Mendelian Randomization Approach And Applications written by Lei Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Science categories.
Mendelian Randomization
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Author : Stephen Burgess
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2015-03-06
Mendelian Randomization written by Stephen Burgess and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-06 with Mathematics categories.
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.
Mendelian Randomization
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Author : Stephen Burgess
language : en
Publisher: CRC Press
Release Date : 2021-06-22
Mendelian Randomization written by Stephen Burgess and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Mathematics categories.
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields of epidemiology, statistics, genetics, and bioinformatics. Through multiple examples, the first part of the book introduces the reader to the concept of Mendelian randomization, showing how to perform simple Mendelian randomization investigations and interpret the results. The second part of the book addresses specific methodological issues relevant to the practice of Mendelian randomization, including robust methods, weak instruments, multivariable methods, and power calculations. The authors present the theoretical aspects of these issues in an easy-to-understand way by using non-technical language. The last part of the book examines the potential for Mendelian randomization in the future, exploring both methodological and applied developments. Features Offers first-hand, in-depth guidance on Mendelian randomization from leaders in the field Makes the diverse aspects of Mendelian randomization understandable to newcomers Illustrates technical details using data from applied analyses Discusses possible future directions for research involving Mendelian randomization Software code is provided in the relevant chapters and is also available at the supplementary website This book gives epidemiologists, statisticians, geneticists, and bioinformaticians the foundation to understand how to use genetic variants as instrumental variables in observational data. New in Second Edition: The second edition of the book has been substantially re-written to reduce the amount of technical content, and emphasize practical consequences of theoretical issues. Extensive material on the use of two-sample Mendelian randomization and publicly-available summarized data has been added. The book now includes several real-world examples that show how Mendelian randomization can be used to address questions of disease aetiology, target validation, and drug development
Mendelian Randomization
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Author : Stephen Burgess
language : en
Publisher:
Release Date : 2015
Mendelian Randomization written by Stephen Burgess and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Presents the Terminology and Methods of Mendelian Randomization for Epidemiological StudiesMendelian 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 disea.
Statistical Methods For Mendelian Randomization Using Gwas Summary Data
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Author : Xianghong Hu
language : en
Publisher:
Release Date : 2019
Statistical Methods For Mendelian Randomization Using Gwas Summary Data written by Xianghong Hu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Medical genetics categories.
Mendelian Randomization (MR) is a powerful tool for accessing causality of exposure on an outcome using genetic variants as the instrumental variables. Much of the recent developments is propelled by the increasing availability of GWAS summary data. However, the accuracy of the MR causal effect estimates could be challenged in case of the MR assumptions are violated. The source of biases could attribute to the weak effects arising because of polygenicity, the presentence of horizontal pleiotropy and other biases, e.g., selection bias. In this thesis, we proposed two works, expecting to deal with these issues.In the first part, we proposed a method named ‘Bayesian Weighted Mendelian Randomization (BMWR)’ for causal inference using summary statistics from GWAS. In BWMR, we not only take into account the uncertainty of weak effects owning to polygenicity of human genomics but also models the weak horizontal pleiotropic effects. Moreover, BWMR adopts a Bayesian reweighting strategy for detection of large pleiotropic outliers. An efficient algorithm based on variational inference was developed to make BWMR computationally efficient and stable. Considering the underestimated variance provided by variational inference, we further derived a closed form variance estimator inspired by a linear response method. We conducted several simulations to evaluate the performance of BWMR, demonstrating the advantage of BWMR over other methods. Then, we applied BWMR to access causality between 126 metabolites and 90 complex traits, revealing novel causal relationships. In the second part, we further developed BWMR-C: Statistical correction of selection bias for Mendelian Randomization based on a Bayesian weighted method. Based on the framework of BWMR, the probability model in BWMR-C is built conditional on the IV selection criteria. In such way, BWMR-C delicated to reduce the influence of the selection process on the causal effect estimates and also preserve the good properties of BWMR. To make the causal inference computationally stable and efficient, we developed a variational EM algorithm. We conducted several comprehensive simulations to evaluate the performance of BWMR-C for correction of selection bias. Then, we applied BWMR-C on seven body fat distribution related traits and 140 UK Biobank traits. Our results show that BWMR-C achieves satisfactory performance for correcting selection bias. Keywords: Mendelian Randomization, polygenicity, horizontal pleiotropy, selection bias, variation inference.
Statistical Methods For Mendelian Randomization And Causal Mediation Analysis
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Author : 徐思琦
language : en
Publisher:
Release Date : 2023
Statistical Methods For Mendelian Randomization And Causal Mediation Analysis written by 徐思琦 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Genetics categories.
A Comparison Of Robust Methods For Mendelian Randomization Using Multiple Genetic Variants
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Author :
language : en
Publisher:
Release Date : 2018
A Comparison Of Robust Methods For Mendelian Randomization Using Multiple Genetic Variants written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Applications Of Mendelian Randomization
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Author : Carolyn Mary Hutter
language : en
Publisher:
Release Date : 2009
Applications Of Mendelian Randomization written by Carolyn Mary Hutter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Statistical Models For Mendelian Randomization Analysis Using Summary Level Data
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Author : Okezie Uche-Ikonne
language : en
Publisher:
Release Date : 2022
Statistical Models For Mendelian Randomization Analysis Using Summary Level Data written by Okezie Uche-Ikonne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
