Literature DB >> 15829244

Genetic association analysis: lessons from the study of Alzheimers disease.

Anthony J Brookes1, Jonathan A Prince.   

Abstract

Association studies are an increasingly popular way to test single nucleotide polymorphisms and other gene sequence variations for their involvement in complex disease. Alzheimers Disease has provided an ideal test-bed for the field, and it continues to be a particularly instructive disease model. Research findings demonstrate the difficulties faced by the field, and help to suggest effective ways to improve the phenotype and the genotype aspects of research practice in the field. Technical obstacles remain to be solved, but they have been well-defined by early experiences with SNP and haplotype analyses, the elucidation of other confounding forms of genome variation, and the emergence of a global haplotype map. With the adoption of more sophisticated research strategies and continued advancement in high-throughput genotyping technologies, many genetic contributors to common disease will probably be identified, leading to better predictive and diagnostic medicine in the relatively near future.

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Year:  2005        PMID: 15829244     DOI: 10.1016/j.mrfmmm.2004.08.017

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  4 in total

1.  Accreditation and attribution in data sharing.

Authors:  Gudmundur A Thorisson
Journal:  Nat Biotechnol       Date:  2009-11       Impact factor: 54.908

2.  A novel gene derived from a segmental duplication shows perturbed expression in Alzheimer's disease.

Authors:  Dimitrios Avramopoulos; Ruihua Wang; David Valle; M Daniele Fallin; Susan S Bassett
Journal:  Neurogenetics       Date:  2007-02-16       Impact factor: 2.660

Review 3.  Molecular genetics of monoamine transporters: relevance to brain disorders.

Authors:  K Haddley; A S Vasiliou; F R Ali; U M Paredes; V J Bubb; J P Quinn
Journal:  Neurochem Res       Date:  2007-10-25       Impact factor: 3.996

4.  Comprehensive assessment of sequence variation within the copy number variable defensin cluster on 8p23 by target enriched in-depth 454 sequencing.

Authors:  Stefan Taudien; Karol Szafranski; Marius Felder; Marco Groth; Klaus Huse; Francesca Raffaelli; Andreas Petzold; Xinmin Zhang; Philip Rosenstiel; Jochen Hampe; Stefan Schreiber; Matthias Platzer
Journal:  BMC Genomics       Date:  2011-05-18       Impact factor: 3.969

  4 in total

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