Genome Analysis and Human Health

Genome Analysis and Human Health PDF

Author: Leena Rawal

Publisher: Springer

Published: 2017-06-08

Total Pages: 168

ISBN-13: 9811042985

DOWNLOAD EBOOK →

This book highlights selected current data and its relevance in the human health care system, offering a fundamental primer on genetics and human health. With the advent of new high-throughput technologies (for the whole genome including exome sequencing), the conventional focus on genetics and individual genes is now shifting toward the analysis of complex genes, gene-gene interactions and the association between genes and environment, including epigenetics. The rapidly changing scientific research landscape, with the ever-growing influx of data on one hand and emergence of newer and more complicated diseases on the other, has created a dilemma for researchers and caregivers, who are still hopeful that advances in genetics and genomics will provide avenues for the understanding, prevention and possible cure of human diseases. The book focuses on the interactions between genes and proteins at both the transcriptome and proteome levels, which in turn affect the human genome and health. Additionally, it covers the domain that must be explored in order to understand the gene-gene and protein-protein interactions that contribute to human health. The book offers a valuable guide for all students and researchers working in the area of molecular genetics and genomics.

Human Genetic Disease Analysis

Human Genetic Disease Analysis PDF

Author: Kay E. Davies

Publisher:

Published: 1993

Total Pages: 152

ISBN-13:

DOWNLOAD EBOOK →

This book covers all of the commonly used methods for the analysis and diagnosis of human genetic diseases. The chapters describe the analysis of gene mutations as well as the functional organization of genes and chromosomal regions, keeping up-to-date with recent advances in the field. Revisions in this second edition include sections on PCR and FISH. When the first edition of this book was published, prenatal diagnosis based on DNA analysis was performed in two weeks. The advent of PCR has allowed this process to be completed in just a few hours. PCR has had an impact in almost all areas of molecular medicine and thus all the chapters in this new edition have been significantly revised. The development of fluorescence in situ hybridization (FISH) has been important for both genome analysis and diagnosis. This revolutionary new technology is detailed in this volume. The book will be valuable for scientists working in a pure research environment as well as those in service laboratories analyzing different human disease mutations.

Gene Future

Gene Future PDF

Author: Thomas F. Lee

Publisher: Springer Science & Business Media

Published: 2013-11-09

Total Pages: 341

ISBN-13: 1489927603

DOWNLOAD EBOOK →

"As Lee so wisely and eloquently cautions, there may be perils along this pathway as well as miraculous discoveries. Do dangers lurk in this new technological approach to nature? May we unwittingly be doing irreparable harm to individuals, not to mention the biosphere? This perceptive author even-handedly assesses the controversies surrounding the perils that may await us as molecular science moves out of the laboratory and into our homes and environment. This fascinating and comprehensive volume shows that the time has come to confront our gene future, because our gene future is now."--Jacket

Disease Analysis Through Genetics and Biotechnology

Disease Analysis Through Genetics and Biotechnology PDF

Author: John F. Leslie

Publisher: Wiley-Blackwell

Published: 1995

Total Pages: 388

ISBN-13:

DOWNLOAD EBOOK →

Focusing on the most important sorghum and millet diseases, this book is the result of an international conference on diseases of sorghum and millet from different growing regions of the world. New research approaches to improve disease management strategies are included.

Assessing Genetic Risks

Assessing Genetic Risks PDF

Author: Institute of Medicine

Publisher: National Academies Press

Published: 1994-01-01

Total Pages: 353

ISBN-13: 0309047986

DOWNLOAD EBOOK →

Raising hopes for disease treatment and prevention, but also the specter of discrimination and "designer genes," genetic testing is potentially one of the most socially explosive developments of our time. This book presents a current assessment of this rapidly evolving field, offering principles for actions and research and recommendations on key issues in genetic testing and screening. Advantages of early genetic knowledge are balanced with issues associated with such knowledge: availability of treatment, privacy and discrimination, personal decision-making, public health objectives, cost, and more. Among the important issues covered: Quality control in genetic testing. Appropriate roles for public agencies, private health practitioners, and laboratories. Value-neutral education and counseling for persons considering testing. Use of test results in insurance, employment, and other settings.

Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases PDF

Author: Bairong Shen

Publisher: Springer Science & Business Media

Published: 2013-11-25

Total Pages: 219

ISBN-13: 9400779755

DOWNLOAD EBOOK →

The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.

Toward Precision Medicine

Toward Precision Medicine PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2012-01-16

Total Pages: 142

ISBN-13: 0309222222

DOWNLOAD EBOOK →

Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.

The Fundamentals of Modern Statistical Genetics

The Fundamentals of Modern Statistical Genetics PDF

Author: Nan M. Laird

Publisher: Springer Science & Business Media

Published: 2010-12-13

Total Pages: 226

ISBN-13: 1441973389

DOWNLOAD EBOOK →

This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

Mathematical and Statistical Methods for Genetic Analysis

Mathematical and Statistical Methods for Genetic Analysis PDF

Author: Kenneth Lange

Publisher: Springer Science & Business Media

Published: 1997

Total Pages: 0

ISBN-13: 9780387949093

DOWNLOAD EBOOK →

During the past decade, geneticists have constructed detailed maps of the human genome and cloned scores of Mendelian disease genes. These insights into human disease and evolution which have transformed medicine and agriculture depend on the contributions of applied mathematicians, statisticians, and computer scientists. This work is written to help readers understand and model the epidemiological and experimental data encountered in genetics research.