|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910437617803321 |
|
|
Autore |
Morgan Kevin |
|
|
Titolo |
Genetic variants in Alzheimer's disease / / Kevin Morgan |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
New York, : Springer, c2013 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2013.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (256 p.) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Alzheimer's disease - Genetic aspects |
Neurogenetics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and indexes. |
|
|
|
|
|
|
Nota di contenuto |
|
The Genetics of Alzheimer’s disease: Introduction and Perspective for the Future -- Apolipoprotein E -- Clusterin -- PICALM -- Complement Component (3b/4b) Receptor 1(CR1) -- Bridging Integrator 1 (BIN1) -- ATP-binding cassette, sub-family A (ABC1), member 7 (ABCA7) -- Membrane-spanning 4-domains subfamily A, MS4A cluster -- Sialic acid binding immunoglobulin-like lectin-3 (CD33) -- Erythropoietin-producing human hepatocellular carcinoma (EphA1) -- CD2-associated protein (CD2AP) -- Other Genes Implicated in Alzheimer’s Disease -- The Future Role of Biomarkers in Alzheimer’s Disease Diagnostics -- Index. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Since 2009, a revolution has been witnessed in Alzheimer’s Disease 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 Alzheimer’s disease (LOAD) based on evidence of genetic association. These “AD susceptibility genes” are 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. |
|
|
|
|
|
|
|