Grant: Catalyst Grant: Analysis of CLSA Data - IPPH Mandate Early Career Researcher

The CLSA study collected data on thousands of traits and hundreds of millions of genetic variants in almost thirty thousand Canadians. Manually sifting through all the resulting gene- disease association results, trait by trait and variant by variant, is neither an efficient nor comprehensive way to foster discoveries. Efficiently translating such massive amounts of results into new understandings of health and disease for Canadians requires making the association results from large-scale genetic studies accessible to researchers in an intuitive and easy-to-use manner. In previous work, we built the base version of PheWeb - our web-based interactive tool for visualizing and browsing through hundreds or thousands of genetic association results efficiently and intuitively. However, key data types that will be crucial to better understand the genetic factors associated with complex traits in this Canadian cohort were excluded, namely traits with 3+ options and data across time points (baseline and the follow-up visits). In the current proposal, we aim to analyze these two less-studied data types and to extend PheWeb to support those results. The goal is to make all CLSA association results available to researchers at their fingertips, which will facilitate data sharing and collaboration.