Genetics, statistics and human disease: analytical retooling for complexity.

Thornton-Wells TA, Moore JH, Haines JL
Trends Genet. 2004 20 (12): 640-7

PMID: 15522460 · DOI:10.1016/j.tig.2004.09.007

Molecular biologists and geneticists alike now acknowledge that most common human diseases with a genetic component are likely to have complex etiologies. Yet despite this belief, many statistical geneticists continue applying, in slightly new and different ways, methodologies that were developed to dissect much simpler etiologies. In this article, we characterize, with examples, the various factors that can complicate genetic analysis and demonstrate their shared features and how they affect genetic analysis. We describe a variety of approaches that are currently available, revealing methodological gaps and suggesting new directions for method development. Finally, we propose a comprehensive two-step approach to analysis that systemically addresses the different genetic factors that are likely to underlie complex diseases.

MeSH Terms (9)

Genetic Diseases, Inborn Genetic Heterogeneity Genetics, Medical Humans Models, Genetic Models, Statistical Phenotype Polymorphism, Single Nucleotide Quantitative Trait Loci

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