Factors affecting statistical power in the detection of genetic association
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...
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| Veröffentlicht in: | The Journal of clinical investigation 2005-06, Vol.115 (6), p.1408-1418 |
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| container_title | The Journal of clinical investigation |
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| creator | Gordon, Derek Finch, Stephen J |
| description | 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. |
| doi_str_mv | 10.1172/jci24756 |
| format | Article |
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| ispartof | The Journal of clinical investigation, 2005-06, Vol.115 (6), p.1408-1418 |
| issn | 0021-9738 1558-8238 |
| language | eng |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Biomedical research Cell division Chromosomes Data Interpretation, Statistical Disease Genes Genetic Markers Genetic Predisposition to Disease - genetics Genomes Genomics Genotype & phenotype Haplotypes Humans Linkage Disequilibrium Lod Score Models, Genetic Polymorphism Quantitative Trait, Heritable Review Series Statistical methods Statistical power |
| title | Factors affecting statistical power in the detection of genetic association |
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