HGGA

Jonathan Marquez, MD, PhD

Inside HGG Advances: A Chat with Jonathan Marquez

Posted By: HGG Advances HGGA: What motivated you to start working on this project? JM: From the perspective of developmental biology and physiology, I found it fascinating that a gene important for mitochondrial complex IV function could be deleted in its entirety. Yet, more important for me was the opportunity to help a family arrive... Read More

Matthew Bailey, PhD

Inside HGG Advances: A Chat with Matt Bailey

Posted By: HGG Advances HGGA: what motivated you to start working on this project MB: Being an early-stage investigator is challenging. You enter a new department with existing models of success and expectations of establishing an independent lab. However, having completed my graduate and post-graduate training in highly collaborative environments, e.g., working closely with analysis... Read More

Inside <em>HGG Advances</em>: A Chat with Maria Gutierrez-Arcelus

Inside HGG Advances: A Chat with Maria Gutierrez-Arcelus

Posted By: HGG Advances HGGA: What motivated you to start working on this project? MG: The pathogenesis of ankylosing spondylitis (AS) remains poorly understood. In other immune-mediated diseases, integrating genome-wide association studies with epigenomics and transcriptomics has successfully identified key pathogenic cell types, such as T cells in rheumatoid arthritis and B cells in systemic... Read More

Sophia Gunn, PhD

Inside HGG Advances: A Chat with Sophia Gunn

Posted By: HGG Advances HGGA:  What motivated you to start working on this project? SG: There has been a lot of work in recent years on developing polygenic scores (PGS) for multi-ancestry populations, but most studies have focused on populations genetically similar to European and East Asian reference groups. In this project, we utilize data... Read More

Zhaotong Lin, PhD

Inside HGG Advances: A Chat with Zhaotong Lin

Posted By: HGG Advances HGGA:  What motivated you to start working on this project? ZL: Mendelian randomization (MR) is a powerful and increasingly popular tool for understanding the causal relationships between complex traits and diseases, especially with the growing availability of GWAS summary statistics. However, MR consistently faces the challenge of horizontal pleiotropy. While there... Read More

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