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Genetic Influences on Addiction by James MacKillop & Marcus R. Munafo HC 2013
USD9,00
Aproximadamente7,78 EUR
Estado:
En muy buen estado
Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un estado excelente. No hay desperfectos visibles en la tapa y se incluye sobrecubierta, si procede, para las tapas duras. Todas las páginas están en perfecto estado, sin arrugas ni roturas y no falta ninguna. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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Recogida:
Recogida local gratis en Woburn, Massachusetts, Estados Unidos.
Envío:
USD4,40 (aprox. 3,80 EUR) USPS Media MailTM.
Ubicado en: Woburn, Massachusetts, Estados Unidos
Entrega:
Entrega prevista entre el vie. 8 ago. y el jue. 14 ago. a 94104
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N.º de artículo de eBay:395314540762
Características del artículo
- Estado
- ISBN
- 9780262019699
Acerca de este producto
Product Identifiers
Publisher
MIT Press
ISBN-10
0262019698
ISBN-13
9780262019699
eBay Product ID (ePID)
166252642
Product Key Features
Number of Pages
352 Pages
Language
English
Publication Name
Genetic Influences on Addiction : an Intermediate Phenotype Approach
Publication Year
2013
Subject
Life Sciences / Genetics & Genomics, Psychopathology / Addiction
Type
Textbook
Subject Area
Science, Psychology
Format
Hardcover
Dimensions
Item Height
1 in
Item Weight
35 Oz
Item Length
9.2 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2013-011177
Dewey Edition
23
Grade From
College Graduate Student
Illustrated
Yes
Dewey Decimal
616.860642
Synopsis
A comprehensive review of research examining intermediary mechanisms to understand the link between genetic variation and addiction liability. Although there is scientific consensus that genetic factors play a substantial role in an individual's vulnerability to drug or alcohol addiction, specific genetic variables linked to risk or resilience remain elusive. Understanding how genetic factors contribute to addiction may require focusing on intermediary mechanisms, or intermediate phenotypes, that connect genetic variation and risk for addiction. This book offers a comprehensive review of this mechanistic-centered approach and the most promising intermediate phenotypes identified in empirical research. The contributors first consider the most established findings in the field, including variability in drug metabolism, brain electrophysiological profiles, and subjective reactions to direct drug effects; they go on to review highly promising areas such as expectancies, attentional processing, and behavioral economic variables; and finally, they investigate more exploratory approaches, including the differential susceptibility hypothesis and epigenetic modifications. Taken together, the chapters offer a macro-level testing of the hypothesis that these alternative, mechanistic phenotypes can advance the understanding of genetic influences on addiction. The book will be of interest to researchers and practitioners in a range of disciplines, including behavioral genetics, psychology, pharmacology, neuroscience, and sociology. Contributors John Acker, Steven R.H. Beach, Gene H. Brody, Angela D. Bryan, Megan J. Chenoweth, Danielle M. Dick, Eske D. Derks, Mary-Anne Enoch, Meg Gerrard, Frederick X. Gibbons, Thomas E. Gladwin, Mark S. Goldman, Marcus Heilig, Kent E. Hutchison, Hollis C. Karoly, Steven M. Kogan, Man Kit Lei, Susan Luczak, James MacKillop, Renee E. Magnan, Leah M. Mayo, Marcus R. Munafò, Daria Orlowska, Abraham A. Palmer, Danielle Pandika, Clarissa C. Parker, Robert A. Philibert, Lara A. Ray, Richard R. Reich, Ronald L. Simons, Courtney J. Stevens, Rachel E. Thayer, Rachel F. Tyndale, Tamara L. Wall, Reinout W. Wiers, Michael Windle, Harriet de Wit, A comprehensive review of research examining intermediary mechanisms to understand the link between genetic variation and addiction liability. Although there is scientific consensus that genetic factors play a substantial role in an individual's vulnerability to drug or alcohol addiction, specific genetic variables linked to risk or resilience remain elusive. Understanding how genetic factors contribute to addiction may require focusing on intermediary mechanisms, or intermediate phenotypes, that connect genetic variation and risk for addiction. This book offers a comprehensive review of this mechanistic-centered approach and the most promising intermediate phenotypes identified in empirical research. The contributors first consider the most established findings in the field, including variability in drug metabolism, brain electrophysiological profiles, and subjective reactions to direct drug effects; they go on to review highly promising areas such as expectancies, attentional processing, and behavioral economic variables; and finally, they investigate more exploratory approaches, including the differential susceptibility hypothesis and epigenetic modifications. Taken together, the chapters offer a macro-level testing of the hypothesis that these alternative, mechanistic phenotypes can advance the understanding of genetic influences on addiction. The book will be of interest to researchers and practitioners in a range of disciplines, including behavioral genetics, psychology, pharmacology, neuroscience, and sociology. Contributors John Acker, Steven R.H. Beach, Gene H. Brody, Angela D. Bryan, Megan J. Chenoweth, Danielle M. Dick, Eske D. Derks, Mary-Anne Enoch, Meg Gerrard, Frederick X. Gibbons, Thomas E. Gladwin, Mark S. Goldman, Marcus Heilig, Kent E. Hutchison, Hollis C. Karoly, Steven M. Kogan, Man Kit Lei, Susan Luczak, James MacKillop, Renee E. Magnan, Leah M. Mayo, Marcus R. Munaf , Daria Orlowska, Abraham A. Palmer, Danielle Pandika, Clarissa C. Parker, Robert A. Philibert, Lara A. Ray, Richard R. Reich, Ronald L. Simons, Courtney J. Stevens, Rachel E. Thayer, Rachel F. Tyndale, Tamara L. Wall, Reinout W. Wiers, Michael Windle, Harriet de Wit
LC Classification Number
RM301.3.G45
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