The relative efficiency of penetrance estimators for sib pairs.
Here we present analytical studies to evaluate the relative efficiency of commonly used penetrance estimators using linkage designs. We investigated three different methods of estimating penetrance using sib pairs: Maximum likehood estimation (MLE) with trait information alone, MLE with both trait and marker information and the MOD score approach. Modeling sib pairs with unknown phase, we evaluated the asymptotic relative efficiency between estimators under either random sampling or single ascertainment for an autosomal dominant or recessive disease. We then provide plots of the asymptotic relative efficiency, enabling researchers to easily determine regions where the MOD score or segregation alone performs with comparable efficiency relative to joint segregation and linkage.
Swartz
Michael D
MD
Department of Statistics, Rice University, Texas A&M University, College Station, Houston, TX , USA.
Minard
Charles G
CG
Amos
Christopher I
CI
D020090:Chromosome Segregation / Q000235:genetics; D019295:Computational Biology; D008040:Genetic Linkage; D006801:Humans; D008126:Lod Score; D008957:Models, Genetic; D009679:Nuclear Family; D019683:Penetrance