Analysis of Complex Disease Association Studies

• Author : Eleftheria Zeggini,Andrew Morris
• Publisher : Academic Press
• Release : 30 May 2023

Genetics and genomic studies are changing the practice of medicine and public health and playing central roles in all biomedical sciences. New technologies and data resources such as the HapMap are enabling genome-wide studies which have the potential to identify a wide variety of common genetic determinants of human health, disease and drug response. with these tremendous new data resources at hand, there is a growing number of practitioners who are looking at genome-wide association studies to find solutions for

• Author : William K. Scott,Marylyn D. Ritchie
• Publisher : John Wiley & Sons
• Release : 11 November 2021

Genetic Analysis of Complex Diseases An up-to-date and complete treatment of the strategies, designs and analysis methods for studying complex genetic disease in human beings In the newly revised Third Edition of Genetic Analysis of Complex Diseases, a team of distinguished geneticists delivers a comprehensive introduction to the most relevant strategies, designs and methods of analysis for the study of complex genetic disease in humans. The book focuses on concepts and designs, thereby offering readers a broad understanding of common

• Author : Emrah Kostem
• Publisher : Unknown
• Release : 30 May 2023

The recent advances in genomic technologies, have made it possible to collect large-scale information on genetic variation across a diverse biological landscape. This has resulted in an exponential influx of genetic information and the field of genetics has become data-rich in a relatively short amount of time. These developments have opened new avenues to elucidate the genetic basis of complex diseases, where the traditional disease study approaches had little success. In recent years, the genome-wide association study (GWAS) approach has

• Author : Eleftheria Zeggini,Andrew Morris
• Publisher : Academic Press
• Release : 17 November 2010

According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease

• Author : D.C. Rao,C. Charles Gu
• Publisher : Academic Press
• Release : 23 April 2008

The field of genetics is rapidly evolving and new medical breakthroughs are occuring as a result of advances in knowledge of genetics. This series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines. * Five sections on the latest advances in complex traits * Methods for testing with ethical, legal, and social implications * Hot topics include discussions on systems biology approach to drug discovery; using comparative genomics for detecting human disease genes; computationally intensive challenges,

• Author : Cedric Gondro,Julius van der Werf,Ben Hayes
• Publisher : Humana Press
• Release : 12 June 2013

With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls

• Author : Riyan Cheng,Lide Han,Hailan Liu,Min Zhang,Guolian Kang
• Publisher : Frontiers Media SA
• Release : 24 August 2021

• Author : William K. Scott,Marylyn D. Ritchie
• Publisher : John Wiley & Sons
• Release : 06 December 2021

Genetic Analysis of Complex Diseases An up-to-date and complete treatment of the strategies, designs and analysis methods for studying complex genetic disease in human beings In the newly revised Third Edition of Genetic Analysis of Complex Diseases, a team of distinguished geneticists delivers a comprehensive introduction to the most relevant strategies, designs and methods of analysis for the study of complex genetic disease in humans. The book focuses on concepts and designs, thereby offering readers a broad understanding of common

• Author : Marta Guindo Martínez
• Publisher : Unknown
• Release : 30 May 2023

• Author : Jonathan L. Haines,Margaret A. Pericak-Vance
• Publisher : John Wiley & Sons
• Release : 26 February 2007

Second Edition features the latest tools for uncovering thegenetic basis of human disease The Second Edition of this landmark publication bringstogether a team of leading experts in the field to thoroughlyupdate the publication. Readers will discover the tremendousadvances made in human genetics in the seven years that haveelapsed since the First Edition. Once again, the editorshave assembled a comprehensive introduction to the strategies,designs, and methods of analysis for the discovery of genes incommon and genetically complex traits. The growing

• Author : Tejaswi Venkata Satya Badam
• Publisher : Linköping University Electronic Press
• Release : 15 January 2021

Biological systems encompass various molecular entities such as genes, proteins, and other biological molecules, including interactions among those components. Understanding a given phenotype, the functioning of a cell or tissue, aetiology of disease, or cellular organization, requires accurate measurements of the abundance profiles of these molecular entities in the form of biomedical data. The analysis of the interplay between these different entities at various levels represented in the form of biological network provides a mechanistic understanding of the observed phenotype.

• Author : Jose C. Florez
• Publisher : Springer
• Release : 11 April 2016

This book presents the state of the art of type 2 diabetes genetics, from the process of genetic discovery to its interpretation and clinical application, and illustrates a model for other complex human phenotypes.The first section explores genome-wide association studies, the extension of this method to less accessible phenotypes and the arrival of next-generation sequencing. A further section goes beyond genetics to illustrate how other data sources can help interpret genetic data, such as leveraging population diversity, the correlation of

• Author : Mingyao Li
• Publisher : Unknown
• Release : 30 May 2023

• Author : Nan M. Laird,Christoph Lange
• Publisher : Springer Science & Business Media
• Release : 13 December 2010

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

• Author : T. Akamizu,M. Kasuga,T.F. Davies
• Publisher : Springer Science & Business Media
• Release : 01 January 2002

The rapid developments in molecular genetics have clarified many of the muta tions in monogenic thyroid diseases over the last two decades; now the target of molecular thyroid genetics has become the oligogenic thyroid diseases. These include the autoimmune thyroid diseases and familial thyroid cancers, both of which are much commoner than the monogenic diseases. However, the method ological approach to the genetics of these more complex diseases is still far from being well established. Although the discovery of susceptibility