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Important Research Findings
| Candidate single nucleotide polymorphism selection using publicly available tools: a guide for epidemiologists
(2006
) | | | Single nucleotide polymorphisms are the most common form of human genetic variation, with millions present in the human genome. Because only 1% might be expected to confer more than modest individual effects in association studies, the selection of predictive candidate variants for complex disease analyses is formidable. We developed a semi-quantitative relative ranking strategy for selecting candidate variants, and describe in this paper a "real world" application of existing bioinformatics tools for use in large epidemiologic studies and genetic analyses.
| | | [Abstract] [PubMed] | | | | Genetic variation and willingness to participate in epidemiologic research: data from three studies
(2005
) | | | We examined single nucleotide polymorphism genotypes, haplotypes, and short tandem repeats among control groups from three studies with different recruitment designs that included early, late, and never questionnaire responders, one or more participation incentives, and blood or buccal cell collection. We found little evidence to suggest that genotype differences underlie response characteristics in molecular epidemiologic studies, although a greater variety of genes should be examined.
| | | [Abstract] [PubMed] | | |
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