PMC:4572492 / 29018-29706 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4572492","sourcedb":"PMC","sourceid":"4572492","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4572492","text":"We demonstrated the potential advantage of using the JLS framework over the conventional location-only or scale-only approach in practice. As proof of principle, we used examples from an association study of a complex trait (glycemic control in type 1 diabetes) and a modifier study of a Mendelian disease (lung function in CF). Both of these datasets provided examples of a genetic effect on a quantitative phenotype that varied based on another variable (i.e., treatment regimen and age, respectively). Our results showed that if the interacting exposure(s) were not known or available, the JLS method could have improved power over conventional approaches in detecting the association.","tracks":[]}