Analysis of complex disease association studies: a practical guide
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Elsevier/Academic
2011
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes bibliographical references and index 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 and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. (good paragraph) This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. This book will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research |
| Beschreibung: | 1 Online-Ressource (viii, 331 p., [12] p. of plates) |
| ISBN: | 9781282878952 1282878956 9780123751423 012375142X |
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| 245 | 1 | 0 | |a Analysis of complex disease association studies |b a practical guide |c edited by Eleftheria Zeggini, Andrew Morris |
| 264 | 1 | |a London |b Elsevier/Academic |c 2011 | |
| 300 | |a 1 Online-Ressource (viii, 331 p., [12] p. of plates) | ||
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| 500 | |a Includes bibliographical references and index | ||
| 500 | |a 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 and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. (good paragraph) This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. This book will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research | ||
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Datensatz im Suchindex
| _version_ | 1807322259974520832 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Zeggini, Eleftheria |
| author2_role | edt |
| author2_variant | e z ez |
| author_GND | (DE-588)1214403158 |
| author_facet | Zeggini, Eleftheria |
| building | Verbundindex |
| bvnumber | BV042300289 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)677829091 (DE-599)BVBBV042300289 |
| dewey-full | 616.042 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.042 |
| dewey-search | 616.042 |
| dewey-sort | 3616.042 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
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| isbn | 9781282878952 1282878956 9780123751423 012375142X |
| language | English |
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| spelling | Analysis of complex disease association studies a practical guide edited by Eleftheria Zeggini, Andrew Morris London Elsevier/Academic 2011 1 Online-Ressource (viii, 331 p., [12] p. of plates) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. (good paragraph) This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. This book will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research Erbkrankheit idszbz Forschung idszbz Genetic disorders fast Human genetics / Variation fast Genetic Predisposition to Disease Genetic Variation Human genetics Variation Genetic disorders Krankheit (DE-588)4032844-2 gnd rswk-swf Genetik (DE-588)4071711-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Genetik (DE-588)4071711-2 s Krankheit (DE-588)4032844-2 s Statistik (DE-588)4056995-0 s 1\p DE-604 Zeggini, Eleftheria (DE-588)1214403158 edt Morris, Andrew Paul Sonstige oth http://www.sciencedirect.com/science/book/9780123751423 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Analysis of complex disease association studies a practical guide Erbkrankheit idszbz Forschung idszbz Genetic disorders fast Human genetics / Variation fast Genetic Predisposition to Disease Genetic Variation Human genetics Variation Genetic disorders Krankheit (DE-588)4032844-2 gnd Genetik (DE-588)4071711-2 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4032844-2 (DE-588)4071711-2 (DE-588)4056995-0 |
| title | Analysis of complex disease association studies a practical guide |
| title_auth | Analysis of complex disease association studies a practical guide |
| title_exact_search | Analysis of complex disease association studies a practical guide |
| title_full | Analysis of complex disease association studies a practical guide edited by Eleftheria Zeggini, Andrew Morris |
| title_fullStr | Analysis of complex disease association studies a practical guide edited by Eleftheria Zeggini, Andrew Morris |
| title_full_unstemmed | Analysis of complex disease association studies a practical guide edited by Eleftheria Zeggini, Andrew Morris |
| title_short | Analysis of complex disease association studies |
| title_sort | analysis of complex disease association studies a practical guide |
| title_sub | a practical guide |
| topic | Erbkrankheit idszbz Forschung idszbz Genetic disorders fast Human genetics / Variation fast Genetic Predisposition to Disease Genetic Variation Human genetics Variation Genetic disorders Krankheit (DE-588)4032844-2 gnd Genetik (DE-588)4071711-2 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Erbkrankheit Forschung Genetic disorders Human genetics / Variation Genetic Predisposition to Disease Genetic Variation Human genetics Variation Krankheit Genetik Statistik |
| url | http://www.sciencedirect.com/science/book/9780123751423 |
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