HGGA - ASHG

HGGA

Moran Gershoni, PhD is a Principal Investigator at the ARO-Volcani Institute.

Inside HGG Advances: A Chat with Moran Gershoni

Posted By: HGG Advances  HGGA: What motivated you to start working on this project?   MG: My interest in this project started with an evolutionary question: why is the prevalence of some so-called ‘unfit’ traits sometimes higher than expected? Nearly 15% of human couples ask for medical assistance to achieve a healthy pregnancy, and many will... Read More

Inside HGG Advances: A Chat with Daffodil Canson

Inside HGG Advances: A Chat with Daffodil Canson

Posted By: HGG Advances HGGA: What motivated you to start working on this project? DC: I have a long-standing interest in studying variant effects on gene expression and protein function and in unravelling the molecular mechanisms of disease-associated variants. As part of my PhD project, I developed the SpliceAI-10k calculator, a SpliceAI-based splicing prediction tool... Read More

Sofia Papadimitriou is an F.R.S.-FNRS postdoctoral researcher at the Université Libre de Bruxelles, Brussels, Belgium and Ghent University, Ghent, Belgium.

Inside HGG Advances: A Chat with Sofia Papadimitriou

Posted By: HGG Advances  HGGA: What motivated you to start working on this project?   SP: I always had an interest in the field of medical genetics, and oligogenic diseases specifically intrigue me because of their challenging nature, as even after years of research since their first official reporting in the early 1990s, our knowledge on... Read More

Jingjing Yang, PhD is an Assistant Professor in the Departments of Human Genetics at the Emory University School of Medicine and Biostatistics and Bioinformatics at the Rollins School of Public Health.

Inside HGG Advances: A Chat with Jingjing Yang

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