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Mendelian Randomization


Mendelian Randomization
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Mendelian Randomization


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


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 Approach And Applications


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 The Study Of Causal Relationships Between Tumors And Underlying Pathogenic Factors


Mendelian Randomization The Study Of Causal Relationships Between Tumors And Underlying Pathogenic Factors
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Author : Ziheng Wang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-15

Mendelian Randomization The Study Of Causal Relationships Between Tumors And Underlying Pathogenic Factors written by Ziheng Wang 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 2025-05-15 with Science categories.


The malignant tumor is a major global public health problem threatening human health. At present, association studies can be used to analyze the occurrence and development of tumors. Association studies, such as the classic study of smoking and lung cancer and the popular genome-wide association study (GWAS), form the basis of medical research. These studies provided initial evidence for subsequent mechanistic exploration and functional studies, but could not illustrate a causal relationship. R.A. Fisher first proposed the concept and method of Mendelian randomization (MR) in a 1936 book called “The Design of Experiments”. Based on the principles of Mendelian genetics, he regarded randomly assigned genotypes as "natural randomization experiments" to evaluate the causal effect of a factor on a particular phenotypic trait. Mendelian randomization (MR) is a statistical method based on whole-genome sequencing data(GWAS), which can effectively reduce bias and is used to reveal causality similar to randomized controlled trials (RCT). MR can be used to evaluate causal inference, using genetic variants as instrumental variables to represent specific exposures, infer causal relationships between exposures and outcomes, and transform phenotype-to-phenotype causal studies into genotype studies. The advantage is that an individual's genetic variation precedes the outcome of a disease, which eliminates confounding bias due to reverse causality. Modern bioinformatics techniques can measure genetic variation with high precision, which largely reduces the estimation bias caused by measurement errors.



Mendelian Randomization


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



Nutrition And Diet Practices Impact On Body Components And Functioning


Nutrition And Diet Practices Impact On Body Components And Functioning
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Author : Roberta Zupo
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-08

Nutrition And Diet Practices Impact On Body Components And Functioning written by Roberta Zupo 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 2023-05-08 with Medical categories.




Gut Microbiota And Immunity In Health And Disease Dysbiosis And Eubiosis S Effects On The Human Body


Gut Microbiota And Immunity In Health And Disease Dysbiosis And Eubiosis S Effects On The Human Body
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Author : Payam Behzadi
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-02

Gut Microbiota And Immunity In Health And Disease Dysbiosis And Eubiosis S Effects On The Human Body written by Payam Behzadi 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 2025-01-02 with Medical categories.


The human body gets its balance and homeostasis from the harbored useful microorganisms. Indeed, the human fetus experiences the first microbial exposure within his/her mother’s body. During the post-partum period, an infant gets formed to be inhabited by different types of useful microorganisms, e.g., archaea, bacteria, fungi, and viruses, collectively known as the microbiota. In particular, the evolution of the gut microbiota throughout life appears to play a pivotal role in both health and disease. On the one hand, metabolic regulation, homeostasis, and a strong immune system depend on gut microbiota balance or eubiosis. On the other hand, gut microbiota dysregulation or dysbiosis is observed in many diseases like diabetes, cancers, autoimmune diseases, inflammatory bowel disorders, atherosclerotic cardiovascular diseases, kidney diseases, neurological disorders, e.g., Alzheimer’s and Parkinson’s diseases, mental health disorders, etc. Interestingly, environmental factors and genetics are involved. Therefore, the interconnection between host-microbiota-environments is a fascinating and emerging area of research to understand health and disease.



Handbook Of Statistical Genomics


Handbook Of Statistical Genomics
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Author : David J. Balding
language : en
Publisher: John Wiley & Sons
Release Date : 2019-09-10

Handbook Of Statistical Genomics written by David J. Balding and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Science categories.


A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.



Nutrients Neurotransmitters And Brain Energetics Volume Ii


Nutrients Neurotransmitters And Brain Energetics Volume Ii
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Author : Rubem C. A. Guedes
language : en
Publisher: Frontiers Media SA
Release Date : 2025-07-30

Nutrients Neurotransmitters And Brain Energetics Volume Ii written by Rubem C. A. Guedes 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 2025-07-30 with Science categories.


After the great success of the first volume of the Research topic on Nutrients, Neurotransmitters and Brain Energetics (see our Editorial here), with 30 articles, 40,000 downloads and 240,000 views, we decided to launch volume 2 of the research topic on Nutrients, Neurotransmitters and Brain Energetics. An increasing amount of compelling evidence supports the importance of nutritional status in the etiology of neurodegenerative diseases that are associated with cognitive decline and behavioral changes. Poor nutritional status affects the interactions between neurons and astrocytes, and synaptic activity and cerebral metabolism and have been associated with impaired neuronal function, oxidative stress, and, more recently, autophagy in neurons. The brain is known as a ‘very demanding’ organ due to its high level of metabolic activity. It exhibits specificity for glucose as its primary energy substrate. Further, recent research suggests that the metabolic interactions of lactate between astrocytes and neurons are essential for synaptic activity and brain metabolism. Ketone bodies generated in the liver are considered to be an alternative energy source for the brain during the early stages of development, starvation, and ketogenic diet use.



An Introduction To Statistical Genetic Data Analysis


An Introduction To Statistical Genetic Data Analysis
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Author : Melinda C. Mills
language : en
Publisher: MIT Press
Release Date : 2020-02-18

An Introduction To Statistical Genetic Data Analysis written by Melinda C. Mills and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-18 with Science categories.


A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.