Mendelian randomization and related techniques allow researchers to use knowledge about genetic factors that contribute to a disease to predict whether other risk factors, such as environmental exposure, play a part. This volume examines how these approaches allow researchers to make causal inferences about modifiable exposures and how this can benefit public health. Topics covered in this essential volume include: - The Meaning of "Cause" in Genetics - Twins and Causal Inference: Leveraging Nature's Experiment - Mendelian Randomization: Concepts and Scope - Integrating Family-Based and Mendelian Randomization Designs - Computational Tools for Causal Inference in Genetics - Using Mendelian Randomization to Improve the Design of Randomized Trials
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 ...
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.
The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
This book covers the basic concepts of epigenetic epidemiology, discusses challenges in study design, analysis, and interpretation, epigenetic laboratory techniques, the influence of of age and environmental factors on shaping the epigenome ...
This book offers a self-contained and concise introduction to causal models and how to learn them from data.
This book will serve as a primer for both laboratory and field scientists who are shaping the emerging field of molecular epidemiology.
This new edition of the widely read Evolution in Four Dimensions has been revised to reflect the spate of new discoveries in biology since the book was first published in 2005, offering corrections, an updated bibliography, and a ...
The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children.
These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest.
The book emphasises interactive learning, with each chapter including learning objectives, theoretical and numerical exercises, questions and answers, and a summary.