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Record Nr. |
UNINA9911020374203321 |
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Titolo |
Molecular epidemiology of chronic diseases / / editors, Chris Wild, Paolo Vineis, Seymour Garte |
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Pubbl/distr/stampa |
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Chichester, England ; ; Hoboken, NJ, : J. Wiley, c2008 |
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ISBN |
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9786612342929 |
9781119965619 |
1119965616 |
9781282342927 |
1282342924 |
9780470725726 |
0470725729 |
9780470725719 |
0470725710 |
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Descrizione fisica |
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1 online resource (386 p.) |
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Altri autori (Persone) |
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WildChris <1959-> |
VineisPaolo |
GarteSeymour J |
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Disciplina |
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Soggetti |
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Molecular epidemiology |
Chronic diseases - Epidemiology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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MOLECULAR EPIDEMIOLOGY OF CHRONICDISEASES; Contents; Contributors; Acknowledgements; 1 Introduction: why molecular epidemiology?; 2 Study design; 2.1. Introduction: study design at square one; 2.2. Epidemiological measures; 2.3. Bias; 2.4. More on confounding; 2.5. Specifi cities of molecular epidemiology design; 2.6. Conclusions; References; Essential reading; 3 Molecular epidemiological studies that can be nested within cohorts; 3.1. Introduction; 3.2. Case-cohort studies; 3.3. Nested case-control studies |
3.4. Considerations regarding biomarker analyses in case-cohort and nested case-control studies3.5. Conclusion; References; 4 Family |
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studies, haplotypes and gene association studies; 4.1. Introduction; 4.2. Family studies; 4.3. Genetic association studies; 4.4. Discussion; References; 5 Individual susceptibility and gene-environment interaction; 5.1. Individual susceptibility; 5.2. Genetic susceptibility; 5.3. Metabolic susceptibility genes; 5.4. Study designs; 5.5. Gene-environment interaction; 5.6. Exposure dose effects in gene-environment interactions |
5.7. Mutational effects of gene-environment interactions5.8. Conclusions; References; 6 Biomarker validation; 6.1. Validity and reliability; 6.2. Biomarker variability; 6.3. Measurement of variation; 6.4. Other issues of validation; 6.5. Measurement error; 6.6. Blood collection for biomarkers; 6.7. Validation of high-throughput techniques; References; 7 Exposure assessment; 7.1. Introduction; 7.2. Initial considerations of an exposure assessment strategy; 7.3. Exposure pathways and routes; 7.4. Exposure dimensions; 7.5. Exposure classifi cation, measurement or modelling |
7.6. Retrospective exposure assessment7.7. Validation studies; 7.8. Quality control issues; References; 8 Carcinogen metabolites as biomarkers; 8.1. Introduction; 8.2. Overview of carcinogen metabolism; 8.3. Examples of carcinogen metabolite biomarkers; 8.4. Summary; References; 9 Biomarkers of exposure: adducts; 9.1. Introduction; 9.2. Methods for adduct detection; 9.3. Adducts identifi ed in human tissue; 9.4. Adducts as biomarkers of occupational and environmental exposure to carcinogens; 9.5. Smoking-related adducts; 9.6. DNA adducts in prospective studies; 9.7. Conclusions; References |
10 Biomarkers of mutation and DNA repair capacity10.1. Introduction; 10.2. Classifi cation of mutations; 10.3. Mutations in molecular epidemiology; 10.4. DNA repair; 10.5. Classes of DNA repair; 10.6. Common assays to measure DNA repair capacity; 10.7. Integration of DNA repair assays into epidemiological studies; 10.8. Genetic markers for DNA repair capacity; References; 11 High-throughput techniques - genotyping and genomics; 11.1. Introduction; 11.2. Background; 11.3. SNP databases; 11.4. Study types; 11.5. Study design; 11.6. Genotyping technologies |
11.7. Sample and study management and QC |
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Sommario/riassunto |
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""I think this is an excellent book-I recommend it to anyone involved in molecular epidemiology... The 26 chapters are written by topic specialists, in an explanatory, east to read style."" -BTS Newsletter, Summer 2009 ""This text provides an accessible and useful handbook for the epidemiologist who wants to survey the field, to become better informed, to look at recent developments and get some background on these or simply to appreciate further the relatively rapid changes in informatic and analytical technologies which increasingly will serve and underpin future epidemiol |
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