000			03065nam a22004935i 4500
001			978-1-4614-7309-1
003			DE-He213
005			20140220082829.0
007			cr nn 008mamaa
008			130622s2013 xxu| s |||| 0|eng d
020			_a9781461473091 _9978-1-4614-7309-1
024	7		_a10.1007/978-1-4614-7309-1 _2doi
050		4	_aRB155-155.8
050		4	_aQH431
072		7	_aMFN _2bicssc
072		7	_aMED107000 _2bisacsh
082	0	4	_a611.01816 _223
082	0	4	_a599.935 _223
100	1		_aMorgan, Kevin. _eeditor.
245	1	0	_aGenetic Variants in Alzheimer's Disease _h[electronic resource] / _cedited by Kevin Morgan, Minerva M. Carrasquillo.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aVIII, 254 p. 54 illus., 51 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aThe 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.
520			_aSince 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.
650		0	_aMedicine.
650		0	_aHuman genetics.
650		0	_aMedical genetics.
650		0	_aNeurosciences.
650	1	4	_aBiomedicine.
650	2	4	_aHuman Genetics.
650	2	4	_aNeurosciences.
650	2	4	_aGene Function.
700	1		_aCarrasquillo, Minerva M. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461473084
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-7309-1
912			_aZDB-2-SBL
999			_c95896 _d95896