Associations among multiple markers and complex disease: Models, algorithms, and applications Journal Article


Authors: Assimes, T. L.; Olshen, A. B.; Narasimhan, B.; Olshen, R. A.
Article Title: Associations among multiple markers and complex disease: Models, algorithms, and applications
Abstract: This chapter is a report on collaborations among its authors and others over many years. It devolves from our goal of understanding genes, their main and epistatic effects combined with interactions involving demographic and environmental features also, as together they predict genetically complex diseases. Thus, our goal is "association." Particular phenotypes of interest to us are hypertension, insulin resistance, angina, and myocardial infarction. Prediction of complex disease is notoriously difficult, though it would be made easier were we given strand-specific information on genotype. Unfortunately, with current technology, genotypic information comes to us "unphased." While obviously we have strand-specific information when genotype is homozygous, we do not have such information when genotype is heterozygous. To summarize, the ultimate goals of approaches we provide is to predict phenotype, typically untoward or not, within a specific window of time. Our approach is neither through linkage nor from finding haplotype frequencies per se. © 2008 Elsevier Inc. All rights reserved.
Keywords: genetics; review; animal; animals; genetic predisposition to disease; biological model; algorithms; algorithm; probability; models, genetic; genetic predisposition; genetic marker; genetic markers; multifactorial inheritance
Journal Title: Advances in Genetics
Volume: 60
ISSN: 0065-2660
Publisher: Elsevier Inc.  
Date Published: 2008-01-01
Start Page: 437
End Page: 464
Language: English
DOI: 10.1016/s0065-2660(07)00416-6
PUBMED: 18358329
PROVIDER: scopus
DOI/URL:
Notes: -- Chapter 16 in "Genetic Dissection of Complex Traits" (ISBN: 978-0-12-373883-7) -- "Export Date: 17 November 2011" - "Source: Scopus"
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  1. Adam B Olshen
    107 Olshen