Exercise Genomics

Exercise Genomics encompasses the translation of exercise genomics into preventive medicine by presenting a broad overview of the rapidly expanding research examining the role of genetics and genomics within the areas of exercise performance and health-related physical activity. Leading researchers from a number of the key exercise genomics research groups around the world have been brought together to provide updates and analysis on the key discoveries of the past decade, as well as lend insights and opinion about the future of exercise genomics, especially within the contexts of translational and personalized medicine. Clinicians, researchers and health/fitness professionals will gain up-to-date background on the key findings and critical unanswered questions across several areas of exercise genomics, including performance, body composition, metabolism, and cardiovascular disease risk factors. Importantly, basic information on genomics, research methods, and statistics are presented within the context of exercise science to provide students and professionals with the foundation from which to fully engage with the more detailed chapters covering specific traits. Exercise Genomics will be of great value to health/fitness professionals and graduate students in kinesiology, public health and sports medicine desiring to learn more about the translation of exercise genomics into preventive medicine.

Sports, Exercise, and Nutritional Genomics: Current Status and Future Directions is the first reference volume to offer a holistic examination of omics-driven advances across different aspects of exercise and sports physiology, biochemistry, sports medicine, psychology, anthropology, and sports nutrition; and highlighting the opportunities towards advance personalized training and athlete health management. More than 70 international experts from 14 countries have discussed key exercise and sport-related themes through the prism of genomics, epigenomics, transcriptomics, proteomics, metabolomics, telomere biology, talent in sport, individual differences in response to regular physical activity, that in the future may empower coaches, sports physicians, fitness experts, genetic counselors, and translational scientists to employ various omics data and approaches in improving health and physical performance of people participating in sports and exercise activities. Contributors address current knowledge of genetic influence on athletic performance, individual responses to exercise training, as well as the genetics of musculoskeletal phenotypes, exercise-related injuries, flexibility, and neurodegenerative disorders in athletes. Finally, performance-related and psychological traits associated with epigenetic, transcriptomic and metagenomic biomarkers are also considered, along with nutritional and pharmacogenomic aids in sports medicine and personalized nutrition. Effectively synthesizes key themes across molecular aspects of exercise and sports sciences Provides a knowledge base for future translation of omics solutions to talent identification, individualized training, and nutrition Features contributions from international experts (researchers and clinicians) in the subject area

Exercise Genomics encompasses the translation of exercise genomics into preventive medicine by presenting a broad overview of the rapidly expanding research examining the role of genetics and genomics within the areas of exercise performance and health-related physical activity. Leading researchers from a number of the key exercise genomics research groups around the world have been brought together to provide updates and analysis on the key discoveries of the past decade, as well as lend insights and opinion about the future of exercise genomics, especially within the contexts of translational and personalized medicine. Clinicians, researchers and health/fitness professionals will gain up-to-date background on the key findings and critical unanswered questions across several areas of exercise genomics, including performance, body composition, metabolism, and cardiovascular disease risk factors. Importantly, basic information on genomics, research methods, and statistics are presented within the context of exercise science to provide students and professionals with the foundation from which to fully engage with the more detailed chapters covering specific traits. Exercise Genomics will be of great value to health/fitness professionals and graduate students in kinesiology, public health and sports medicine desiring to learn more about the translation of exercise genomics into preventive medicine.

The text maintains a practical focus while providing updates on current research findings and exploring how genetics may affect clinical practice and sport performance training.

This book covers the latest techniques that enable us to study the genome in detail, the book explores what the genome tells us about life at the level of the molecule, the cell, and the organism

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

This publication reviews past, current and future applications of genetic research in the fields of exercise science and sports medicine. It highlights ethical concerns, potential clinical applications and exploitation of genetic information. The authors, an interdisciplinary group of experts comprising clinicians, exercise scientists, human geneticists and other biological scientists, present an integrated and holistic understanding of the field to the reader. Several chapters of the book address the issue of nature and nurture in determining athletic ability and etiology of sports injuries. Other chapters are dealing with genetics and performance research during premolecular and molecular biology eras, gene-lifestyle interactions and their consequences on health, as well as genetic risk factors in musculoskeletal soft tissue injuries. Finally, the possible application of gene therapy in athletes, gene doping and genetic testing of athletes are discussed. The book is highly recommended to exercise scientists, sports clinicians, human geneticists, athletes, coaches and to all those interested in the relatively new area of genetic research within the fields of exercise science and sports medicine.

This second edition of Genetics and Sports expands on topics previously discussed in an attempt to create an integrated and holistic understanding of the field of sports genomics. It is an update on technologies and on the role of genetics in training, performance, injury, and other exercise-related phenotypes. Ethical concerns and the importance of counselling before and after genetic testing are also addressed. It is increasingly important to understand the field of genetics and sports because of the potential to use and misuse information. All exercise scientists, sport and exercise clinicians, athletes, and coaches need to be adequately informed to ensure that genetic information is accurately and properly used. Genetics and Sports is, therefore, highly recommended to all of these groups.