Molecular Epidemiology

This book will serve as a primer for both laboratory and field scientists who are shaping the emerging field of molecular epidemiology. Molecular epidemiology utilizes the same paradigm as traditional epidemiology but uses biological markers to identify exposure, disease or susceptibility. Schulte and Perera present the epidemiologic methods pertinent to biological markers. The book is also designed to enumerate the considerations necessary for valid field research and provide a resource on the salient and subtle features of biological indicators.

The application of modern molecular genetic and biologic techniques to infectious disease epidemiology dramatically improves measurement of disease and putative risk factors, increasing our ability to detect and track outbreaks, identify risk factors and detect new infectious agents. However, integration of these techniques into epidemiologic studies also poses new challenges in the design, conduct, and analysis. We examine these opportunities and methodologic challenges giving specific examples. The book will be written for the reader with limited understanding of genetics, biology and epidemiology. Presents the key points of consideration when integrating molecular biology and epidemiologyDiscusses how using molecular tools in epidemiologic research affects program design and conductConsiders the ethical concerns that arise in molecular epidemiologic studiesProvides a context for understanding and interpreting scientific literature as a foundation for subsequent practical experience in the laboratory and in the field

"I think this is an excellent book–I recommend it to anyone involved in molecular epidemiology... The 26 chapters are written by topic specialists, in an explanatory, east to read style." –BTS Newsletter, Summer 2009 "This text provides an accessible and useful handbook for the epidemiologist who wants to survey the field, to become better informed, to look at recent developments and get some background on these or simply to appreciate further the relatively rapid changes in informatic and analytical technologies which increasingly will serve and underpin future epidemiological studies. One of the strengths in this book is the extensive array of practical illustrative examples, and it would also in my opinion have useful potential as a teaching text." –American Journal of Human Biology, March 2009 With the sequencing of the human genome and the mapping of millions of single nucleotide polymorphisms, epidemiology has moved into the molecular domain. Scientists can now use molecular markers to track disease-associated genes in populations, enabling them to study complex chronic diseases that might result from the weak interactions of many genes with the environment. Use of these laboratory generated biomarker data and an understanding of disease mechanisms are increasingly important in elucidating disease aetiology. Molecular Epidemiology of Disease crosses the disciplinary boundaries between laboratory scientists, epidemiologists, clinical researchers and biostatisticians and is accessible to all these relevant research communities in focusing on practical issues of application, rather than reviews of current areas of research. Covers categories of biomarkers of exposure, susceptibility and disease Includes chapters on novel technologies: genomics, transcriptomics, proteomics and metabonomics, which are increasingly finding application in population studies Emphasizes new statistical and bioinformatics approaches necessitated by the large data sets generated using these new methodologies Demonstrates the potential applications of laboratory techniques in tackling epidemiological problems while considering their limitations, including the sources of uncertainty and inaccuracy Discusses issues such as reliability (compared to traditional epidemiological methods) and the timing of exposure Explores practical elements of conducting population studies, including biological repositories and ethics Molecular Epidemiology of Disease provides an easy-to-use, clearly presented handbook that allows epidemiologists to understand the specifics of research involving biomarkers, and laboratory scientists to understand the main issues of epidemiological study design and analysis. It also provides a useful tool for courses on molecular epidemiology, using many examples from population studies to illustrate key concepts and principles.

Molecular epidemiology has taken advantage of the emergence of technological advances collectively identified as "-omics" (genomics, transcriptomics, proteomic, metabonomics) and their usage in epidemiological studies has heralded a revolution in the design implementation, and interpretation of studies on disease causation. Not the least, molecular epidemiology has brought together scientists of all disciplines to interact into very large, often multi-national networks, fostering consortia that have the size and power to address diseases as a global challenge. This book captures these fascinating developments and provides an extended, forward-looking vision of the principles, practice and impact of molecular epidemiology. Written and coordinated by world leaders in the field, the book covers, in a systematic way, the major conceptual advances, with a strong emphasis on study design and on how to incorporate biomarker studies into epidemiology practice. While providing a cornerstone for specialists, the book is also a teaching and training manual for public health, biology and medical students at the undergraduate, graduate, and post-graduate levels. With its strong insistence on interdisciplinarity and its focus on translating complex concepts into information that can be shared across the borders of scientific disciplines, the book will be a door-opener for researchers whose work is being attracted by the potent magnet of molecular epidemiology.

This book brings together leading experts to provide an introduction to genetic epidemiology that begins with a primer in human molecular genetics through all the standard methods in population genetics and genetic epidemiology required for an adequate grounding in the field.

The world population is rapidly aging—it is estimated that by 1950, around 17% of the population will be elderly. In this context, aging involves several physiological, psychological and highly complex social processes that vary from one person to another. For a long time, medical care for older adults has focused on treating chronic, age-related diseases and their associated consequences. Recently, biomedical research brings a novel point of view to develop more effective interventions by targeting the aging process itself rather than separate conditions. There is a growing number of reports indicating that aging is driven by several interconnected mechanisms and biological components referred to as the molecular pillars of aging. Interfering with these mechanisms could help to treat, prevent, and understand the development of age-related diseases and associated syndromes. This book provides a clinical perspective and general update on biomedical and genetic research in aging, moving from an update in the molecular pillars of aging to a perspective of the most recent pharmacological, clinical, and diagnostic applications using genomic approaches and techniques. While this book focuses on the specifics of genetics and genomics, it also adopts a clinical perspective of geroscience, which seeks to understand the genetic, molecular and cellular mechanisms that make aging an important risk factor and, sometimes, a determining factor in the diseases and common chronic conditions of older people. Additionally, Clinical Genetics and Genomics of Aging is a significant contribution to support aging research, as it shows that collaboration across disciplines is relevant to progress in the field. As more and more people benefit from increased longevity, clinician and researchers will be empowered by this knowledge to contribute to the progress of aging research.

A Statistical Approach to Genetic Epidemiology After studying statistics and mathematics at the University of Munich and obtaining his doctoral degree from the University of Dortmund, Andreas Ziegler received the Johann-Peter-Süssmilch-Medal of the German Association for Medical Informatics, Biometry and Epidemiology for his post-doctoral work on “Model Free Linkage Analysis of Quantitative Traits” in 1999. In 2004, he was one of the recipients of the Fritz-Linder-Forum-Award from the German Association for Surgery.

This text describes the role that epidemiologic methods play in the continuum from gene discovery to the development and application of genetic tests. It provides a foundation that should help researchers, policy makers and practitioners integrate genomics into medical and public health practice.