• Genetic Analysis Workshop 16;
  • association analysis;
  • confounder misclassification;
  • selection bias;
  • optimal robust ROC;
  • structural equation modeling;
  • treatment adjustment;
  • empirically derived phenotypes;
  • transmission disequilibrium;
  • transmission distortion;
  • candidate genes;
  • genome-wide association


The papers in Genetic Analysis Workshop 16 Group 7 covered a wide range of topics. The effects of confounder misclassification and selection bias on association results were examined by one group. Another focused on bias introduced by various methods of accounting for treatment effects. Two groups used related methods to derive phenotypic traits. They used different analytic strategies for genetic associations with non-overlapping results (but because they used different sets of single-nucleotide polymorphisms (SNPs) and significance criteria, this is not surprising). Another group relied on the well-characterized definition of type 2 diabetes to show benefits of a novel predictive test. Transmission-ratio distortion was the focus of another paper. The results were extended to show a potential secondary benefit of the test to identify potentially mis-called SNPs. Genet. Epidemiol. 33 (Suppl. 1):S40–S44, 2009. © 2009 Wiley-Liss, Inc.