| PedGenie is now part of our new Genie package. It function as an analysis option of the new package. | ||||||||||||||||||||||||||||||||||||
| Description When performing an association analysis using family data, one must account for the fact that individuals within a family are related; hence data are correlated. The computed test statistic will be correct; however, the variance will be underestimated and the significance overestimated due to correlations between individuals. PedGenie calculates an empirical p-value for a test statistic using a Monte Carlo approach. Genotypes or haplotypes of individuals within a pedigree are randomly simulated in proportion to a defined allele or haplotype frequency, while still maintaining the original pedigree structure. |
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| Functionality PedGenie is capable of analyzing dichotomous and quantitative dependent variables. The statistics that PedGenie uses are the standard statistics (as provided by the links on the following websites) as would be used in a sample of independent individuals or independent nuclear families. PedGenie accounts for familial relationships by correcting the significance (p-value) of a statistic through an empirical approach, but leaves the statistic itself unchanged. |
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