Using Risk-based Sampling to Enrich Cohorts for Endpoints, Genes, and Exposures
| Autor: | Dale P. Sandler, David M. Umbach, Clarice R. Weinberg, David L. Shore |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Risk
medicine.medical_specialty Genotype Endpoint Determination Epidemiology Breast Neoplasms Disease Article Cohort Studies Breast cancer Gene Frequency Prevalence medicine Humans Prospective Studies Risk factor Prospective cohort study business.industry Siblings Genetic Variation Environmental Exposure Environmental exposure medicine.disease Epidemiologic Research Design Cohort Female Disease Susceptibility business Demography Cohort study |
| Zdroj: | American Journal of Epidemiology. 166:447-455 |
| ISSN: | 1476-6256 0002-9262 |
| DOI: | 10.1093/aje/kwm097 |
| Popis: | Targeting the first-degree relatives of people with a particular complex disease can offer a powerful approach to building a risk-based cohort for prospective studies of etiologic factors. Such a cohort provides both a sizable increase in the rate of accrual of newly incident cases, enriching for risk factors that are known or even unknown, and a high level of motivation among participants. A nationwide study of breast cancer in the United States and Puerto Rico, the Sister Study, made up of women who are each the sister of a woman with breast cancer, exemplifies this approach. In this paper, the authors provide power calculations to aid in the design of such studies and quantify their benefits for detecting both genetic variants related to risk and interactive effects of genetic and environmental factors. While the risk-based cohort can have markedly increased prevalences of rare causative alleles, most of the power advantages for this design is due to the increased rate of accrual of newly incident cases rather than the increase in any one individual allele. |
| Databáze: | OpenAIRE |
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