Catherine Tcheandjieu harnesses expertise in population genetics and statistics to understand the distribution of disease in various ethnic or geographic groups, and the genetic root of disease in these groups.
Using state-of-the-art genomics and machine learning technology, her lab aims to define the genes associated with cardiovascular diseases in diverse human populations.
Tcheandjieu’s previous work focused on predicting risk for thyroid cancer and various cardiovascular diseases in people of African, Hispanic, Melanesian, and European descent. Ultimately, she strives to develop approaches for predicting and treating disease that benefit people from all ancestries.
Disease Areas
- Cancer
- Cardiovascular Disease
Areas of Expertise
- Machine Learning
- Epidemiology
- Genomics
- Genetic Epidemiology
- Population Genetics
Lab Focus
- Defining the genetic basis of cardiovascular disease in diverse populations.
- Developing statistical tools to understand the relationship between symptoms and genetic variations in complex multigenic diseases.
- Developing predictive and therapeutic approaches that take into account the distinct genetic makeup of populations from different ancestries.
Research Impact
Most of our current understanding of the genetic basis of disease stems from data obtained from predominantly Caucasian populations. Catherine Tcheandjieu endeavors to mine data from a broader population base, with the ultimate aim of designing diagnostic and therapeutic approaches that serve populations of all ancestries.
Her previous contributions include a statistical method for estimating the incidence of toxoplasmosis (a parasitic disease that can transmit from pregnant mother to infant) in women from African, European, and Maghrebian descent. Her findings helped improve preventive strategies for toxoplasmosis infection in pregnant women in France. Moreover, she fine-combed genomic data from European, and Melanesian populations to distinguish gene variants that increase risk for thyroid cancer in these groups. This work also led her to discover novel interactions between group-specific gene variants and lifestyle factors that predispose to disease.
Tcheandjieu recently adapted machine learning to measure the shape and size of the aorta in live individuals and relate these traits to genetic variants found in people from European, Asian, and African ancestries. She identified several gene variants linked to either the diameter of the aorta or the size of the aortic valve. These variants could be used for early prediction of aortic valve disease. Tcheandjieu also conducted the largest genetic study to date for coronary artery disease in European, African, Hispanic, and Asian populations and identified new genetic variations associated with coronary artery disease among these populations.
