| 000 | 03542nam a22003615i 4500 | ||
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| 001 | 235533 | ||
| 003 | ES-VaUE | ||
| 005 | 20221220020711.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 101211s2011 xxu| s |||| 0|eng d | ||
| 020 | _a9781603274166 | ||
| 024 | 7 |
_a10.1007/978-1-60327-416-6 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aGenetic Epidemiology _cedited by M. Dawn Teare. |
| 250 | _a1st edition 2011 | ||
| 264 | 1 |
_aTotowa, NJ _bHumana Press _c2011 |
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| 300 |
_a1 recurso en línea (XII, 242 páginas) _b |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v713 |
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| 505 | 0 | _aMolecular Genetics and Genetic Variation -- Terminology, Concepts, and Models in Genetic Epidemiology -- An Introduction to Epidemiology -- Genetic Distance and Markers Used in Linkage Mapping -- Approaches to Genetic Linkage Analysis -- Fine-Scale Structure of the Genome and Markers Used in Association Mapping -- Genome-Wide Association Studies -- Candidate Gene Association Studies -- Family-Based Association Studies -- Genome Variation: A Review of Web Resources -- Advanced Methods in Twin Studies -- Mendelian Randomization: A Tool for Assessing Causality in Observational Epidemiology -- Copy Number Variation -- Epigenetic Variation -- Modeling the Effect of Susceptibility Factors (HLA and PTPN22) in Rheumatoid Arthritis -- Coronary Artery Disease: An Example Case Study -- The Genetic Epidemiology of Obesity: A Case Study. | |
| 520 | _aArising 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. | ||
| 700 | 1 |
_aTeare, M. Dawn _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9781603274159 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781607619093 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781493957095 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60327-416-6 _z(usuarios Universidad Europea de Valencia) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Protocols_2011 | ||
| 999 |
_c235533 _d235533 |
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