Genetic dissection methods: designs used for tests of gene-environment interaction
| Autor: | Xin Liu, W. H.Linda Kao, M. Daniele Fallin |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Empirical data
Genotype Population Biology Environment Machine learning computer.software_genre Bioinformatics Field (computer science) Genetics Humans Genetic Predisposition to Disease Gene–environment interaction education Genetic dissection education.field_of_study Likelihood Functions Molecular Epidemiology business.industry Clinical study design Genetic epidemiology Research Design Case-Control Studies False positive rate Artificial intelligence business computer Developmental Biology |
| Zdroj: | Current opinion in geneticsdevelopment. 14(3) |
| ISSN: | 0959-437X |
| Popis: | Given recent advances in the field of molecular genetics, many have recognized the need to exploit either study designs or analytical methods to test hypotheses with gene-by-environment (G×E) interactions. The partial-collection designs, including case-only, partial case–control, and case–parent trio designs, have been suggested as attractive alternatives to the complete case–control design both for increased statistical efficiency and reduced data needs. However, common problems in genetic epidemiology studies, such as, presence of G×E correlation in the population, population mixture, and genotyping error may reduce the validity of these designs. On the basis of previous simulation studies and empirical data and given the potential limitations and uncertainty of assumptions of partial-collection designs, the case–control design is the optimal choice versus partial-collection designs. |
| Databáze: | OpenAIRE |
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