[HTML][HTML] Factors affecting statistical power in the detection of genetic association
D Gordon, SJ Finch - The Journal of clinical investigation, 2005 - Am Soc Clin Investig
D Gordon, SJ Finch
The Journal of clinical investigation, 2005•Am Soc Clin InvestigThe mapping of disease genes to specific loci has received a great deal of attention in the
last decade, and many advances in therapeutics have resulted. Here we review family-
based and population-based methods for association analysis. We define the factors that
determine statistical power and show how study design and analysis should be designed to
maximize the probability of localizing disease genes.
last decade, and many advances in therapeutics have resulted. Here we review family-
based and population-based methods for association analysis. We define the factors that
determine statistical power and show how study design and analysis should be designed to
maximize the probability of localizing disease genes.
The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.
The Journal of Clinical Investigation