
doi: 10.1159/000424866
pmid: 8534500
Genetic markers that are sufficiently polymorphic (as measured by their heterozygosities) can be used in linkage and association analyses to detect Mendelian segregation underlying disease phenotypes. Each type of analysis can either be based on a specific genetic model or not make any assumptions about the mode of inheritance of the disease. Principles underlying these methods are reviewed, and the assumptions underlying them stressed. Association analyses are more powerful, provided there is linkage disequilibrium between the marker and disease loci; however, only linkage analyses have power in the absence of such disequilibrium. For this reason, models that allow for both kinds of tests are preferred, and such models must adequately approximate the complexity of the disease being studied.
Genetic Markers, Risk, Likelihood Functions, Polymorphism, Genetic, Models, Genetic, Genetic Linkage, Genetic Diseases, Inborn, Chromosome Mapping, Linkage Disequilibrium, Haplotypes, Humans, Lod Score
Genetic Markers, Risk, Likelihood Functions, Polymorphism, Genetic, Models, Genetic, Genetic Linkage, Genetic Diseases, Inborn, Chromosome Mapping, Linkage Disequilibrium, Haplotypes, Humans, Lod Score
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
