Ian J. Deary
- Published in print:
- 2000
- Published Online:
- January 2008
- ISBN:
- 9780198524175
- eISBN:
- 9780191712531
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198524175.003.0001
- Subject:
- Psychology, Cognitive Psychology
This chapter discusses the psychometric structure, predictive validity, and statistical genetics of intelligence.
This chapter discusses the psychometric structure, predictive validity, and statistical genetics of intelligence.
Duncan C. Thomas
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9780262034685
- eISBN:
- 9780262335522
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262034685.003.0011
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies
The biological effects of genes depend upon how they are expressed in target tissues at various points in time, which is determined by their epigenetic state and in turn may be influenced by the ...
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The biological effects of genes depend upon how they are expressed in target tissues at various points in time, which is determined by their epigenetic state and in turn may be influenced by the environment.Some experimental data suggests that such influences can be transmitted across generations.In this chapter, I propose a general statistical framework for modelling how environmental and germline genetic influences on disease is mediated by epigenetics, both within the individual and across generations.The approach is illustrated on simulated data and on a study of the effect of air pollution and the ARG/NOS family of genes on childhood respiratory disease.Less
The biological effects of genes depend upon how they are expressed in target tissues at various points in time, which is determined by their epigenetic state and in turn may be influenced by the environment.Some experimental data suggests that such influences can be transmitted across generations.In this chapter, I propose a general statistical framework for modelling how environmental and germline genetic influences on disease is mediated by epigenetics, both within the individual and across generations.The approach is illustrated on simulated data and on a study of the effect of air pollution and the ARG/NOS family of genes on childhood respiratory disease.
Alan Brown and Paul Patterson (eds)
- Published in print:
- 2011
- Published Online:
- November 2015
- ISBN:
- 9780231151245
- eISBN:
- 9780231521925
- Item type:
- book
- Publisher:
- Columbia University Press
- DOI:
- 10.7312/columbia/9780231151245.001.0001
- Subject:
- Psychology, Health Psychology
This book synthesizes key findings on a devastating mental disorder that has been increasingly studied over the past decade: namely, schizophrenia. Advances in epidemiology, translational ...
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This book synthesizes key findings on a devastating mental disorder that has been increasingly studied over the past decade: namely, schizophrenia. Advances in epidemiology, translational neuroscience technology, and molecular and statistical genetics have recast schizophrenia's neurobiological nature, identifying new putative environmental risk factors and candidate susceptibility genes. Providing the latest clinical and neuroscience research developments, this book provides a balanced account, while pointing to future directions in research and interdisciplinary collaboration. The book examines relevant topics from the vantage points of epidemiologic, clinical, and basic neuroscience approaches.Less
This book synthesizes key findings on a devastating mental disorder that has been increasingly studied over the past decade: namely, schizophrenia. Advances in epidemiology, translational neuroscience technology, and molecular and statistical genetics have recast schizophrenia's neurobiological nature, identifying new putative environmental risk factors and candidate susceptibility genes. Providing the latest clinical and neuroscience research developments, this book provides a balanced account, while pointing to future directions in research and interdisciplinary collaboration. The book examines relevant topics from the vantage points of epidemiologic, clinical, and basic neuroscience approaches.
Bruce Walsh and Michael Lynch
- Published in print:
- 2018
- Published Online:
- September 2018
- ISBN:
- 9780198830870
- eISBN:
- 9780191868986
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198830870.001.0001
- Subject:
- Biology, Evolutionary Biology / Genetics, Biochemistry / Molecular Biology
Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show ...
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Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.Less
Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.
