Genome-Wide Association Studies

This book examines the utility of genome-wide association studies (GWAS) in the era of next-generation sequencing and big data, identifies limitations and potential means of overcoming them, and looks to the future of GWAS and what may lay beyond. GWAS are among the most powerful tools for elucidati...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tsunoda, Tatsuhiko (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tanaka, Toshihiro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nakamura, Yusuke (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Genome-Wide Association Studies  |h [electronic resource] /  |c edited by Tatsuhiko Tsunoda, Toshihiro Tanaka, Yusuke Nakamura. 
250 |a 1st ed. 2019. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2019. 
300 |a IX, 209 p. 9 illus., 7 illus. in color.  |b online resource. 
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505 0 |a Genotyping and Statistical Analysis -- Genetics of coronary artery disease -- Genetic and Functional Genetics of Autoimmune Diseases -- Genome-Wide Association Study for Type 2 diabetes -- The association of single nucleotide polymorphisms with cancer risk -- Genetics of Infectious Diseases -- Pharmacogenomics -- The Future of and Beyond GWAS. 
520 |a This book examines the utility of genome-wide association studies (GWAS) in the era of next-generation sequencing and big data, identifies limitations and potential means of overcoming them, and looks to the future of GWAS and what may lay beyond. GWAS are among the most powerful tools for elucidating the genetic aspects of human and disease diversity. In Genome-Wide Association Studies, experts in the field explore in depth the impacts of GWAS on genomic research into a variety of common diseases, including cardiovascular, autoimmune, diabetic, cancer, and infectious diseases. The book will equip readers with a sound understanding both of the types of disease and phenotypes that are suited for GWAS and of the ways in which a road map resulting from GWAS can lead to the realization of personalized/precision medicine: functional analysis, drug seeds, pathway analysis, disease mechanism, risk prediction, and diagnosis. 
650 0 |a Human genetics. 
650 0 |a Cancer research. 
650 0 |a Immunology. 
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650 2 4 |a Immunology.  |0 http://scigraph.springernature.com/things/product-market-codes/B14000 
700 1 |a Tsunoda, Tatsuhiko.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Tanaka, Toshihiro.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Nakamura, Yusuke.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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