Genetic Epidemiology:
Arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology, genetic epidemiology attempts to identify the many components of risk attributable to genes, environments, and interactions, and the course of its research can follow many diverse...
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| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Totowa, NJ
Humana Press
2011
|
| Series: | Methods in Molecular Biology, Methods and Protocols
713 |
| Subjects: | |
| Online Access: | UBR01 TUM01 Volltext |
| Summary: | Arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology, genetic epidemiology attempts to identify the many components of risk attributable to genes, environments, and interactions, and the course of its research can follow many diverse paths. In Genetic Epidemiology, the success of genome-wide association studies in their identification of hundreds of disease susceptibility loci has inspired renowned experts to contribute thorough methodologies, which aim to bring together bioinformaticians, geneticists, clinicians, statisticians, and epidemiologists in the study of this vital field. The volume opens with chapters covering the basics; however, it quickly moves on to coverage of more specialist topics such as twin studies, Mendelian randomization, genetic association studies, more advanced areas, as well as case studies. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the detailed description of the application and analysis of the most commonly employed methods that are necessary for a firm grounding in the field. Authoritative and cutting-edge, Genetic Epidemiology aims to provide a basic framework for crucial interdisciplinary communication and understanding suited to newcomers to the field as well as experienced researchers and graduate level students |
| Physical Description: | 1 Online-Ressource (XII, 242 p) |
| ISBN: | 9781603274166 |
| DOI: | 10.1007/978-1-60327-416-6 |
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| 520 | |a Arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology, genetic epidemiology attempts to identify the many components of risk attributable to genes, environments, and interactions, and the course of its research can follow many diverse paths. In Genetic Epidemiology, the success of genome-wide association studies in their identification of hundreds of disease susceptibility loci has inspired renowned experts to contribute thorough methodologies, which aim to bring together bioinformaticians, geneticists, clinicians, statisticians, and epidemiologists in the study of this vital field. The volume opens with chapters covering the basics; however, it quickly moves on to coverage of more specialist topics such as twin studies, Mendelian randomization, genetic association studies, more advanced areas, as well as case studies. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the detailed description of the application and analysis of the most commonly employed methods that are necessary for a firm grounding in the field. Authoritative and cutting-edge, Genetic Epidemiology aims to provide a basic framework for crucial interdisciplinary communication and understanding suited to newcomers to the field as well as experienced researchers and graduate level students | ||
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:05:36Z |
| institution | BVB |
| isbn | 9781603274166 |
| language | English |
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| spelling | Genetic Epidemiology edited by M. Dawn Teare Totowa, NJ Humana Press 2011 1 Online-Ressource (XII, 242 p) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology, Methods and Protocols 713 Arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology, genetic epidemiology attempts to identify the many components of risk attributable to genes, environments, and interactions, and the course of its research can follow many diverse paths. In Genetic Epidemiology, the success of genome-wide association studies in their identification of hundreds of disease susceptibility loci has inspired renowned experts to contribute thorough methodologies, which aim to bring together bioinformaticians, geneticists, clinicians, statisticians, and epidemiologists in the study of this vital field. The volume opens with chapters covering the basics; however, it quickly moves on to coverage of more specialist topics such as twin studies, Mendelian randomization, genetic association studies, more advanced areas, as well as case studies. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the detailed description of the application and analysis of the most commonly employed methods that are necessary for a firm grounding in the field. Authoritative and cutting-edge, Genetic Epidemiology aims to provide a basic framework for crucial interdisciplinary communication and understanding suited to newcomers to the field as well as experienced researchers and graduate level students Biomedicine Human Genetics Gene Function Medicine Human genetics Medical genetics Teare, M. Dawn edt Erscheint auch als Druck-Ausgabe 9781603274159 https://doi.org/10.1007/978-1-60327-416-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Genetic Epidemiology Biomedicine Human Genetics Gene Function Medicine Human genetics Medical genetics |
| title | Genetic Epidemiology |
| title_auth | Genetic Epidemiology |
| title_exact_search | Genetic Epidemiology |
| title_full | Genetic Epidemiology edited by M. Dawn Teare |
| title_fullStr | Genetic Epidemiology edited by M. Dawn Teare |
| title_full_unstemmed | Genetic Epidemiology edited by M. Dawn Teare |
| title_short | Genetic Epidemiology |
| title_sort | genetic epidemiology |
| topic | Biomedicine Human Genetics Gene Function Medicine Human genetics Medical genetics |
| topic_facet | Biomedicine Human Genetics Gene Function Medicine Human genetics Medical genetics |
| url | https://doi.org/10.1007/978-1-60327-416-6 |
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