The Experts below are selected from a list of 35370 Experts worldwide ranked by ideXlab platform
Paul R. Burton - One of the best experts on this subject based on the ideXlab platform.
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Genetic Epidemiology 7 : Genetic Epidemiology and public health hope, hype, and future prospects
The Lancet, 2020Co-Authors: George Davey Smith, Shah Ebrahim, Sarah Lewis, Anna Hansell, Lyle J. Palmer, Paul R. BurtonAbstract:Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
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An introduction to Genetic Epidemiology.
2020Co-Authors: Lyle J. Palmer, Paul R. Burton, George Davey SmithAbstract:Key concepts in Genetic Epidemiology ~ Paul R Burton, Martin D Tobin and John L Hopper Genetic linkage studies ~ M Dawn Teare and Jennifer H. Barrett Genetic association studies ~ Heather J. Cordell and David G. Clayton Mapping complex disease genes using linkage disequilibrium and genome-wide association scans ~ Lyle J Palmer, Nicholas J Timpson, David M Evans, George Davey Smith and Lon R Cardon A question of standards: what makes a good Genetic association study? ~ Andrew T Hattersley and Mark I McCarthy Biobanks and biobank harmonisation ~ Paul R Burton, Isabel Fortier, Mylene Deschenes, Anna Hansell and Lyle J Palmer Population health aspects of Genetic Epidemiology: genomic profiling, personalised medicine, and Mendelian randomisation ~ George Davey Smith, Shah Ebrahim, Sarah Lewis and Lyle J Palmer.
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Genetic Epidemiology and public health hope hype and future prospects
The Lancet, 2005Co-Authors: George Davey Smith, Shah Ebrahim, Anna Hansell, Lyle J. Palmer, Sarah J Lewis, Paul R. BurtonAbstract:Summary Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
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key concepts in Genetic Epidemiology
The Lancet, 2005Co-Authors: Paul R. Burton, Martin D. Tobin, John L HopperAbstract:Summary This article is the first in a series of seven that will provide an overview of central concepts and topical issues in modern Genetic Epidemiology. In this article, we provide an overall framework for investigating the role of familial factors, especially Genetic determinants, in the causation of complex diseases such as diabetes. The discrete steps of the framework to be outlined integrate the biological science underlying modern Genetics and the population science underpinning mainstream Epidemiology. In keeping with the broad readership of The Lancet and the diverse background of today's Genetic epidemiologists, we provide introductory sections to equip readers with basic concepts and vocabulary. We anticipate that, depending on their professional background and specialist knowledge, some readers will wish to skip some of this article.
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Handbook of Statistical Genetics - Epidemiology and Genetic Epidemiology
Handbook of Statistical Genetics, 2004Co-Authors: Paul R. Burton, Jack Bowden, Martin D. TobinAbstract:This chapter focuses on descriptive analysis in Genetic Epidemiology and some of its links with mainstream Epidemiology. It starts with incidence and prevalence, briefly reviewing some of the relevant statistical methods, and then moves on to consider the analysis of correlated responses in mainstream Epidemiology. The core of the chapter describes methods used in descriptive analysis in Genetic Epidemiology. These methods are primarily used to describe and draw inferences about the structure of phenotypic dependencies within families. The appropriate focus of traditional descriptive Epidemiology on representative sampling frames and high response rates is paralleled by the equal importance of sampling schemes in descriptive Genetic Epidemiology, and a full section is therefore devoted to non-random ascertainment.
George Davey Smith - One of the best experts on this subject based on the ideXlab platform.
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Genetic Epidemiology 7 : Genetic Epidemiology and public health hope, hype, and future prospects
The Lancet, 2020Co-Authors: George Davey Smith, Shah Ebrahim, Sarah Lewis, Anna Hansell, Lyle J. Palmer, Paul R. BurtonAbstract:Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
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An introduction to Genetic Epidemiology.
2020Co-Authors: Lyle J. Palmer, Paul R. Burton, George Davey SmithAbstract:Key concepts in Genetic Epidemiology ~ Paul R Burton, Martin D Tobin and John L Hopper Genetic linkage studies ~ M Dawn Teare and Jennifer H. Barrett Genetic association studies ~ Heather J. Cordell and David G. Clayton Mapping complex disease genes using linkage disequilibrium and genome-wide association scans ~ Lyle J Palmer, Nicholas J Timpson, David M Evans, George Davey Smith and Lon R Cardon A question of standards: what makes a good Genetic association study? ~ Andrew T Hattersley and Mark I McCarthy Biobanks and biobank harmonisation ~ Paul R Burton, Isabel Fortier, Mylene Deschenes, Anna Hansell and Lyle J Palmer Population health aspects of Genetic Epidemiology: genomic profiling, personalised medicine, and Mendelian randomisation ~ George Davey Smith, Shah Ebrahim, Sarah Lewis and Lyle J Palmer.
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The publication process itself was the major cause of publication bias in Genetic Epidemiology.
Journal of Clinical Epidemiology, 2006Co-Authors: Michael .w. Calnan, George Davey Smith, Jonathan A C SterneAbstract:Abstract Objectives How do scientists in the field of Genetic Epidemiology see the problem of publication bias, what are the possible solutions and what particular pressures are they under that might either promote or prevent publication and other biases? Study Design and Setting An exploratory study of beliefs and practices among scientists working in the field of Genetic Epidemiology. A purposive sample of senior, Genetic scientists was selected (N = 6) and informants were interviewed face to face. Results There was some consensus that the issue of nonreplication might be particularly problematic in Genetic Epidemiology, and that publication bias could contribute to this. The informants suggested that the problem lay mainly with the publication process. Publication of negative results was seen as important but fraught with difficulties. Conclusion Possible solutions included education of editors, and reviewers, dissemination of negative findings through Web sites or accessible data archives and pooling of data. However, none of these were perceived to be straightforward given the current pressures on the research industry.
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Genetic Epidemiology and public health hope hype and future prospects
The Lancet, 2005Co-Authors: George Davey Smith, Shah Ebrahim, Anna Hansell, Lyle J. Palmer, Sarah J Lewis, Paul R. BurtonAbstract:Summary Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
Kathleen R Merikangas - One of the best experts on this subject based on the ideXlab platform.
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Concepts of Genetic Epidemiology
Applied Computational Genomics, 2012Co-Authors: Kathleen R MerikangasAbstract:The major aim of this chapter is to provide an overview of the fi eld of Genetic Epidemiology and its relevance to the identi fi cation of the causes and risk factors for human diseases. The most important goal of the methods of Genetic Epidemiology is to elucidate the joint contribution of genes and environmental exposures to the etiology of complex diseases. The key study designs used to achieve this goal including family, twin, adoption, and migration studies are summarized. The fi eld of Genetic Epidemiology is expected to have increasing importance with advances in molecular Genetics.
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Genetic Epidemiology bringing Genetics to the population the nape lecture 2001
Acta Psychiatrica Scandinavica, 2002Co-Authors: Kathleen R MerikangasAbstract:Objective: To present an overview of the status of Genetics of mental disorders and to describe the role of Genetic Epidemiology in the future of the implementation of the human genome initiative. Method: Reviews evidence on familial recurrence risk for major mental disorders and approaches to identify genes for complex disorders. Results: The next decade will witness shifts in approaches of both Epidemiology and Genetics to address sources of complexity of the mental disorders. Descriptive Genetic Epidemiology will evolve into analytic Genetic Epidemiology by shifting the key questions from estimation of the magnitude of mental disorders to identification of risk and protective environmental factors that may be informative for both etiology and prevention. Genetics research will expand to population-based studies for complex disorders and will employ designs and methods that incorporate sources of complexity. Conclusion: In summary, the next era of human Genetics will witness major shifts in approaches to identify the genes underlying mental disorders. The contributions of Genetic Epidemiology to translate advances in molecular Genetics to public health are discussed.
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Genetic Epidemiology of Psychiatric Disorders
Epidemiologic Reviews, 1997Co-Authors: Kathleen R Merikangas, J. SwendsenAbstract:Perhaps more than any other domain, the search for etiologic factors in psychiatry has been characterized by an enduring "nature versus nurture" debate, with researchers in medicine, psychology, and public health traditionally emphasizing separate causal factors in the generation of mental disorders. More recently, researchers have increasingly embraced a biopsychosocial model based on a growing body evidence that psychiatric disorders are determined by an interaction of multiple factors. Genetic Epidemiology reflects this comprehensive approach by clarifying how both Genetic and environmental components produce the complex phenotypes of various forms of disorders. However, its application to psychiatry is still relatively new and its methods and contributions within this domain are not well understood. The purpose of this presentation is to review issues and methodological concepts basic to the Genetic Epidemiology of psychiatric disorders, and to present examples of its application to this field.
Lyle J. Palmer - One of the best experts on this subject based on the ideXlab platform.
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Genetic Epidemiology 7 : Genetic Epidemiology and public health hope, hype, and future prospects
The Lancet, 2020Co-Authors: George Davey Smith, Shah Ebrahim, Sarah Lewis, Anna Hansell, Lyle J. Palmer, Paul R. BurtonAbstract:Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
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An introduction to Genetic Epidemiology.
2020Co-Authors: Lyle J. Palmer, Paul R. Burton, George Davey SmithAbstract:Key concepts in Genetic Epidemiology ~ Paul R Burton, Martin D Tobin and John L Hopper Genetic linkage studies ~ M Dawn Teare and Jennifer H. Barrett Genetic association studies ~ Heather J. Cordell and David G. Clayton Mapping complex disease genes using linkage disequilibrium and genome-wide association scans ~ Lyle J Palmer, Nicholas J Timpson, David M Evans, George Davey Smith and Lon R Cardon A question of standards: what makes a good Genetic association study? ~ Andrew T Hattersley and Mark I McCarthy Biobanks and biobank harmonisation ~ Paul R Burton, Isabel Fortier, Mylene Deschenes, Anna Hansell and Lyle J Palmer Population health aspects of Genetic Epidemiology: genomic profiling, personalised medicine, and Mendelian randomisation ~ George Davey Smith, Shah Ebrahim, Sarah Lewis and Lyle J Palmer.
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Genetic Epidemiology and public health hope hype and future prospects
The Lancet, 2005Co-Authors: George Davey Smith, Shah Ebrahim, Anna Hansell, Lyle J. Palmer, Sarah J Lewis, Paul R. BurtonAbstract:Summary Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
Anna Hansell - One of the best experts on this subject based on the ideXlab platform.
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Genetic Epidemiology 7 : Genetic Epidemiology and public health hope, hype, and future prospects
The Lancet, 2020Co-Authors: George Davey Smith, Shah Ebrahim, Sarah Lewis, Anna Hansell, Lyle J. Palmer, Paul R. BurtonAbstract:Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.
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Genetic Epidemiology and public health hope hype and future prospects
The Lancet, 2005Co-Authors: George Davey Smith, Shah Ebrahim, Anna Hansell, Lyle J. Palmer, Sarah J Lewis, Paul R. BurtonAbstract:Summary Genetic Epidemiology is a rapidly expanding research field, but the implications of findings from such studies for individual or population health are unclear. The use of molecular Genetic screening currently has some legitimacy in certain monogenic conditions, but no established value with respect to common complex diseases. Personalised medical care based on molecular Genetic testing is also as yet undeveloped for common diseases. Genetic Epidemiology can contribute to establishing the causal nature of environmentally modifiable risk factors, throught the application of mendelian randomisation approaches and thus contribute to appropriate preventive strategies. Technological and other advances will allow the potential of Genetic Epidemiology to be revealed over the next few years, and the establishment of large population-based resources for such studies (biobanks) should contribute to this endeavour.