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Besides nuclear families, we also simulated samples of sib pairs with missing parental information, which were obtained by deleting the two parents from each family after all the above simulations.
Applications missing parental information will not be reviewed for scholarship unless you have requested and have received a waiver from the Financial Aid Office.
We propose an approach to analytical power and sample-size calculations for general FBATs; this approach can be applied to virtually any scenario (missing parental information, multiple offspring per family, etc).
We discuss power calculations for two scenarios that have high practical relevance and in which power previously could only be assessed by simulation studies or by approximations: (1) studies using both affected and unaffected offspring and (2) studies with missing parental information.
Thus, the proposed test is also robust to population stratification in applications with missing parental information.
Here, we extend the proposed model to include sib pair data with missing parental information.
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We consider the effect of informative missingness on association tests that use parental genotypes as controls and that allow for missing parental data.
Our approach also allows for flexible modeling and estimation of allele effects, as well as for missing parental data.
Many previously proposed procedures that allow for missing parental data assume that these distributions are the same.
FBATs can apply any type of pedigree structure including missing parental data, multiple siblings, and extended pedigrees.
Parental genotypes were then inferred from the segregation pattern of each marker in the progeny and this information was used to impute missing parental genotypes in either parent.
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