Evaluating Power and Type 1 Error in Large Pedigree Analyses of Binary Traits

摘要: Studying population isolates with large, complex pedigrees has many advantages for discovering genetic susceptibility loci; however, statistical analyses can be computationally challenging. Allelic association tests need to corrected relatedness among study participants, and linkage require subdividing simplifying the pedigree structures. We have extended GenomeSIMLA simulate SNP data in structures based on an Amish generate same structure distribution of sampled individuals. evaluated type 1 error rates when no disease was simulated power SNPs recessive, additive, dominant modes inheritance odds ratios 1.1, 1.5, 2.0, 5.0 were simulated. generated subpedigrees a maximum bit-size 24 using PedCut performed two-point multipoint Merlin. also ran MQLS unified pedigree. saw inflation running either whole or sub-pedigrees, we low linkage. Power reduced versus pedigree, subpedigrees. These suggest that appropriate our structure, while does not seem affected dividing prior analysis, detect is diminished divided.