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008			100301s2007 xxu| o |||| 0|eng d
020			_a9781597453899
024	7		_a10.1007/978-1-59745-389-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH438.4 .S73 _b2007 EB
245	0	0	_aLinkage Disequilibrium and Association Mapping : _bAnalysis and Applications _cedited by Andrew R. Collins
250			_a1st edition 2007
264		1	_aTotowa, NJ _bHumana Press _c2007
300			_a1 recurso en línea (XIV, 255 páginas) _b35 ilustraciones, 3 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v376
505	0		_aLinkage Disequilibrium and Association Mapping -- A History of Association Mapping -- Linkage Disequilibrium Maps and Location Databases -- LDMAP -- Linkage Disequilibrium as a Tool for Detecting Signatures of Natural Selection -- The Genetic Basis of Complex Traits -- Linkage Disequilibrium Mapping for Complex Disease Genes -- Linkage Disequilibrium Maps and Disease-Association Mapping -- Coalescent Methods for Fine-Scale Disease-Gene Mapping -- Family-Based Linkage Disequilibrium Tests Using General Pedigrees -- Association Studies Using Familial Cases -- Association Mapping Using Pooled DNA -- Selecting Single-Nucleotide Polymorphisms for Association Studies With SNPbrowser™ Software -- Avoiding False Discoveries in Association Studies -- Gene Mapping in Asthma-Related Traits -- Identifying Susceptibility Variants for Type 2 Diabetes.
520			_aAs researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In Linkage Disequilibrium and Association Mapping: Analysis and Applications, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike. The volume comprises four general sections: the first presents an overview and historical basis of the subject. The second section considers the developing methodology and recent findings from studies which have characterized the genome-wide linkage disequilibrium structure in enormous detail. The following section examines all aspects of disease association mapping methodology, and the final two chapters review the early successes in mapping genes involved in two of the most important human diseases: asthma and type 2 diabetes.
988			_aSpringer_Protocols_2007
650		7	_2embne _9164326 _aGenómica _xMétodos estadísticos
650		7	_2embne _9676129 _aMapa genético
776	0	8	_iPrinted edition: _z9781617377099
776	0	8	_iPrinted edition: _z9781588296696
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-389-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eIG _zSI