Genetic Variants in Alzheimer's Disease / edited by Kevin Morgan, Minerva M. Carrasquillo
Contributor(s): Morgan, Kevin, editor literario
| Carrasquillo, Minerva M., editor literario
Material type:
E-bookPublisher: New York : Springer International Publishing, 2013Description: 1 recurso en línea (VIII, 254 p.) 54 il., 51 il. col..ISBN: 9781461473091.Subject: Alzheimer, Enfermedad de
Summary: Since 2009, a revolution has been witnessed in Alzheimerâ€{u3804}isease genetics. New genetic links are being discovered at an unprecedented pace and our understanding of the molecular mechanisms of neurodegeneration have taken a quantum leap forward. This book provides a thorough description of the genes that have been implicated in the aetiology of late-onset Alzheimerâ€{u3824}isease (LOAD) based on evidence of genetic association. These “AD susceptibility genesâ€{u0872}e described both in their genomic and cellular context, as well as with respect to their known or suspected molecular functions. Although these genes are not sufficient to explain all of the genetic contributions to LOAD, they represent the best replicated set of genes to date. Undoubtedly the list will grow as more advanced genomic approaches towards the identification of novel LOAD genes progresses.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RC523 .G46 2013 EB (Browse shelf(Opens below)) | .i11545380 | Acceso electrónico | eBOOK .i11545380 |
Since 2009, a revolution has been witnessed in Alzheimerâ€{u3804}isease genetics. New genetic links are being discovered at an unprecedented pace and our understanding of the molecular mechanisms of neurodegeneration have taken a quantum leap forward. This book provides a thorough description of the genes that have been implicated in the aetiology of late-onset Alzheimerâ€{u3824}isease (LOAD) based on evidence of genetic association. These “AD susceptibility genesâ€{u0872}e described both in their genomic and cellular context, as well as with respect to their known or suspected molecular functions. Although these genes are not sufficient to explain all of the genetic contributions to LOAD, they represent the best replicated set of genes to date. Undoubtedly the list will grow as more advanced genomic approaches towards the identification of novel LOAD genes progresses.
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