Unraveling the Exposome A Practical View

This volume presents a comprehensive overview of the science and application of the Exposome through seventeen chapters from leaders in the field. At just over ten years since the term was coined by Christopher Wild in 2005, this is the first, field-defining volume to offer a holistic picture of the...

Full description

Bibliographic Details
Other Authors: Dagnino, Sonia (Editor), Macherone, Anthony (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03820nmm a2200385 u 4500
001 EB001853109
003 EBX01000000000000001017412
005 00000000000000.0
007 cr|||||||||||||||||||||
008 181102 ||| eng
020 |a 9783319893211 
100 1 |a Dagnino, Sonia  |e [editor] 
245 0 0 |a Unraveling the Exposome  |h Elektronische Ressource  |b A Practical View  |c edited by Sonia Dagnino, Anthony Macherone 
250 |a 1st ed. 2019 
260 |a Cham  |b Springer International Publishing  |c 2019, 2019 
300 |a XII, 447 p. 60 illus., 47 illus. in color  |b online resource 
505 0 |a Part1. The utility of the Exposome Paradigm -- Chapter1. Using Exposomics to assess cumulative risks from multiple environmental stressors -- Chapter2. Sequencing the Public Health Exosome -- Chapter3. The US Military and the Exposome -- Chapter4. Framing Fetal and Early Life Exposome within Epidemiology -- Part2. Measuring the internal exposome -- Chapter5. Epigenetics and the exposome -- Chapter6. Metabonomics -- Chapter7. Transcriptomics within the exposome paradigm -- Part3. Measuring sources of exposure -- Chapter8. The food exposome -- Chapter9. The Dust Exposome -- Chapter10. From the Outside In; Integrating External Exposures into the Exposome Concept -- Part4. ata analysis for the exposome -- Chapter11. Statistical models to explore the exposome: from OMICs profiling to ‘mechanome’ characterization -- Chapter12. Data-driven Analytics and Informatics to Con-nect the Exposome with Phenotype in Larger Scale -- Part5. xposome characterization around the globe.-Chapter13. HERCULES: an academic center to support exposome research -- Chapter14. Exposomics: meet-in-the-middle and network perturbation -- Chapter15. Building an Early Life Exposome by Integrating Multiple Birth Cohorts: HELIX -- Chapter16. The HEALS project -- Part6. Conclusion -- Chapter17. Unravelling the exposome: conclusions and thoughts for the future 
653 |a Ecotoxicology 
653 |a Public health 
653 |a Bioinformatics 
653 |a Ecotoxicology 
653 |a Environmental Health 
653 |a Human Genetics 
653 |a Environmental health 
653 |a Epidemiology 
653 |a Bioinformatics 
653 |a Epidemiology 
653 |a Human genetics 
653 |a Public Health 
700 1 |a Macherone, Anthony  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
856 4 0 |u https://doi.org/10.1007/978-3-319-89321-1?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 613.1 
520 |a This volume presents a comprehensive overview of the science and application of the Exposome through seventeen chapters from leaders in the field. At just over ten years since the term was coined by Christopher Wild in 2005, this is the first, field-defining volume to offer a holistic picture of the important and growing field of Exposomics. The term “Exposome” describes the sum of all exposures (not only chemical) that an individual can receive over a lifetime from both exogenous sources (environmental contaminants, food, lifestyle, drugs, air, etc.) and endogenous sources (metabolism, oxidative stress, lipid peroxidation, chemicals synthesized by the microbiome, etc.). The first section of this book contains chapters that discuss how the Exposome is defined and how the concept fits into the fields of public health and epidemiology. The second section provides an overview of techniques and methods to measure the human Exposome. The third section contains methods and applications for measuring the Exposome through external exposures. Section four provides an overview on statistical and computational techniques – including big data analysis - for characterizing the Exposome. Section five presents a global collection of case studies.