Genome-wide association studies are based on the linkage disequilibrium pattern between common tagging single-nucleotide polymorphisms (SNPs) (i.e., SNPs having only common alleles) and true causal variants, and association studies with rare SNP alleles aim to detect rare causal variants. To better understand and explain the findings from both types of studies and to provide...
Genome-wide association studies are based on the linkage disequilibrium pattern between common tagging single-nucleotide polymorphisms (SNPs) (i.e., SNPs having only common alleles) and true causal variants, and association studies with rare SNP alleles aim to detect rare causal variants. To better understand and explain the findings from both types of studies and to provide...
: Xiangqing Sun, Apoorva K. Chandar, Marcia I. Canto, Prashanthi N. Thota, Malcom Brock, Nicholas J. Shaheen, David G. Beer, Jean S. Wang, Gary W. Falk, Prasad G. Iyer, Julian A. Abrams, Medha Venkat-Ramani ... , Amitabh Chak. Formal analysis: Xiangqing Sun, Kishore Guda, Xiaofeng Zhu, Robert Elston, Amitabh Chak. Funding acquisition: Amitabh Chak. Investigation: Xiangqing Sun, Martina Veigl, Alexander Miron
Population stratification is one of the major causes of spurious associations in association studies. A unified association approach based on principal-component analysis can overcome the effect of population stratification, as well as make use of both family and unrelated samples combined to increase power (family-case-control, or FamCC). In this study, we compared FamCC and the...
Population stratification is one of the major causes of spurious associations in association studies. A unified association approach based on principal-component analysis can overcome the effect of population stratification, as well as make use of both family and unrelated samples combined to increase power (family-case-control, or FamCC). In this study, we compared FamCC and the...
