Matthew Lanktree

Matthew Lanktree is an Associate Professor in the Department of Medicine at McMaster University. His research focuses on the genetics of kidney disease, cardiovascular risk factors, and lipid metabolism, with a particular emphasis on chronic kidney disease (CKD), clonal hematopoiesis, and polycystic kidney disease (ADPKD). He leads studies on genetic variants influencing kidney function, polygenic risk scores, and translational applications of genomics in clinical nephrology.

Education and Roles: His academic background includes training in genetics and nephrology, though specific educational details are not provided here. He is actively involved in research collaborations, including the International Genetics and Translational Research in Transplantation Network (iGeneTRAiN).

Research Interests: Lanktree's work bridges genetic epidemiology and clinical nephrology. Key areas include:

• Genetic determinants of CKD progression and outcomes
• Role of clonal hematopoiesis in kidney disease
• Genetic modifiers of ADPKD severity
• Mendelian randomization studies for lipid traits and cardiovascular disease

Publications Trends: His recent work emphasizes multi-ancestry genomic studies, proteome-wide analyses, and clinical applications of genetic findings. Key themes include the prognostic utility of kidney volume in ADPKD, clonal hematopoiesis's impact on kidney injury, and the role of polygenic risk scores in predicting kidney failure.

Awards: Recipient of the Dr Paul Janssen Research Award (2008) for contributions to genetic studies of schizophrenia and dopamine receptor gene interactions.

Grants and Teams: Leads or co-leads grants focused on genetic studies of CKD, lipid metabolism, and ADPKD. Collaborates with international networks to advance precision medicine in nephrology. Active in preprint server evaluations and open-access educational resources for kidney disease.

Labs/Teams: Engaged in genomic research groups at McMaster University, focusing on kidney disease genetics and translational applications.