AlzhEimer's Disease: Next Generation Researchers



This multi-institutional seminar series highlights team members representing the “next generation” of researchers. Their  work contributes to the understanding of Alzheimer’s disease mechanism, with the goal of improving diagnosis and treatment.

Anthony Griswold, PhD  

Transcriptomic Approaches to Alzheimer Disease in Diverse Ancestral Populations



Transcriptomic Approaches to Alzheimer Disease in Diverse Ancestral Populations

Alzheimer Disease (AD), the leading cause of dementia in the elderly, occurs in all ethnic and racial groups. Although >20 bona fide susceptibility genetic loci have been associated with AD, much of the genetic influence on AD remains unknown. This is particularly true for diverse ethnic populations such as African Americans and Hispanics that are underrepresented in most genetic studies. Though we have begun to unravel some of the ancestry specific associated genetic risk of AD, identifying DNA variation is only one critical step in the complex underlying biology, since variants do not always provide direct information on the genes and mechanisms influenced. Here I will describe transcriptomic, epi-transcriptomic, and single cell RNA sequencing approaches towards understanding the etiology of AD in diverse populations. 

Anthony Griswold, PhD

Research Assistant Professor of Human Genetics

The Dr. John T. Macdonald Foundation Department of Human Genetics

John P. Hussman Institute for Human Genomics

Associate Director, Center for Genome Technology

University of Miami Miller School of Medicine


Dr. Griswold is a Research Assistant Professor in the Dr. John T. MacDonald Department of Human Genetics at the University of Miami Miller School of Medicine and in the John P. Hussman Institute for Human Genomics (HIHG). He serves as the leader of the Statistical and Bioinformatics Consulting Core in the Center for Epidemiology and Statistical Genetics at the HIHG where he manages a team of bioinformaticians and statistical geneticists.

His training is in molecular genetics with a recent focus in bioinformatics applied to running and developing analysis pipelines for massively parallel DNA sequencing analysis, RNA sequencing analysis, epigenomics, and comprehensive variant annotation and interpretation. His primary interest is in aiming to identify genetic risk for factors of complex phenotypes.

At the HIHG, he has been involved in several projects focusing on the underlying genetics of complex diseases including autism spectrum disorder (ASD) and Alzheimer’s disease in projects ranging from copy number variation analysis and identification of rare sequencing variants. His current work focuses on using sequencing technologies and bioinformatics approaches to identify genomic signatures of disease phenotypes.

Find Dr. Griswold’s publications here.

Contact Us

Administratively housed at Case Western Reserve University with support from all participating academic institutions

Department of Population and Quantitative Health Sciences

2103 Cornell Road, Suite 2500

Cleveland, Ohio 44106