| 000 | 03154nam a22003495i 4500 | ||
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| 001 | 234793 | ||
| 003 | ES-VaUE | ||
| 005 | 20221220020625.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2007 xxu| s |||| 0|eng d | ||
| 020 | _a9781597453899 | ||
| 024 | 7 |
_a10.1007/978-1-59745-389-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 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 |
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| 300 |
_a1 recurso en línea (XIV, 255 páginas) _b35 ilustraciones, 3 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v376 |
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| 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. | ||
| 700 | 1 |
_aCollins, Andrew R _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 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 _z(usuarios Universidad Europea de Valencia) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Protocols_2007 | ||
| 999 |
_c234793 _d234793 |
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