HGGA

Posted By: HGG Advances HGGA: What motivated you to start working on this project?   JY: This project was motivated by my previous work about developing a Bayesian Functional GWAS (BFGWAS) method to account for non-overlapped categorical functional annotation for multivariate GWAS. Our previous work of the initial BFGWAS method has shown the advantages of accounting... Read More

Posted By: HGG Advances HGGA: What motivated you to start working on this project?   JL: Numerous studies suggest red blood cell distribution width (RCDW) and mean corpuscular volume (MCV) are associated with known risk factors for hemorrhagic stroke. However, prior to our study, no causal link had been seen between these blood cell traits and... Read More

Posted By: HGG Advances HGGA: What motivated you to start working on this project?   SM: Working with the Vanderbilt University Undiagnosed Diseases Network (UDN) team during my PhD demonstrated the critical need for better approaches to variant interpretation in rare diseases. And even after a candidate gene and variant are identified, I observed that the... Read More

Posted By: HGG Advances HGGA: What motivated you to start working on this project?   EJ: I wanted to obtain further insights into the genetics of the Greenlandic population, as it is a genetically unique and understudied population. Specifically, we sought to look further into a range of cardiometabolic phenotypes. The end goal was to improve... Read More

Posted By: HGG Advances HGGA: What motivated you to start working on this project?   TS: As RNA-seq is now the state-of-the-art method for measuring gene expression, we were motivated to help researchers better design these experiments for eQTL mapping, a common application using RNA-seq data. We found that it’s possible to boost association power by... Read More