Marie-Julie Favé, PhD.

Pronouns: she/her

Thesis supervisor Seeking students

Full-time Faculty, Biology

Thesis supervision details

Supervised programs: Biology (MSc), Biology (PhD)

Research areas: Computational Genomics, Human medical genetics, population genetics, human evolutionary genomics

Contact information

Email:

mariejulie.fave@concordia.ca

Website:

Visit the Computational Genomics group website

Biography

Post-doc Université de Montréal and Ontario Institute for Cancer Research
Ph.D McGill University
M.Sc Laval University
B.Sc McGill University

Research activities

The 20th century brought about rapid and dramatic changes in lifestyle and environmental conditions for many people, contributing to a significant rise in the prevalence of modern chronic illnesses, such as cardiovascular disease, type 2 diabetes, and various cancers. The advent of population-scale genomics and big data has opened new avenues for exploring biology and disease from a comprehensive perspective. Our work utilizes population genetics, evolutionary biology, and artificial intelligence to better understand the origins and development of human diseases, drawing data from large human biobanks.
Note: My area of research involves lots of "Data Science" in a genomics context, and is therefore entirely computational (no lab experiments, but lots of computational experiments!). Prospecting students must have prior exposure or knowledge of either a programming language, R and biostatistics, command-line skills, or a very strong commitment and motivation to learn it.

Teaching activities

BIOL452 Population and Conservation Genetics

Publications

Complete publication record can be consulted on my google scholar profile

Elyssa Bader and Marie-Julie Favé, Mawusse Agbessi, Jasmina Uzunovic, Nicholas Cheng, Elias Gbeha, Vanessa Bruat, Kim Skead, David Soave, Philip Awadalla (Under Review), Molecular mechanisms of healthy blood aging at single-cell resolution.

Michelle Harwood, Elyssa Bader, David Soave , Nicholas Cheng, Kimberly Skead, Mawussé Agbessi, Vanessa Bruat, Marie-Julie Favé, Philip Awadalla (Under review) Age-related changes in allele-specific expression are associated with health risk for pre-disease and treated individuals with chronic diseases.

Yin Wang et al (2023). Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts. Cell Genomics, 3(1).

William Hill et al. (2023) Lung adenocarcinoma promotion by air pollutants, Nature

Elyssa Bader and Marie-Julie Favé, Mawusse Agbessi, Jasmina Uzunovic, Nicholas Cheng, Elias Gbeha, Vanessa Bruat, Kim Skead, David Soave, Philip Awadalla (2022). Immunogenetics of Healthy Aging at the Single Cell Level, Genetic epidemiology

Kimberly Skead, Marie-Julie Favé, David Soave, Vanessa Bruat, Quaid Morris, Philip Awadalla (2022). A multi-omic perspective of how selection shapes blood cancer risk phenotypes in aging populations, Cancer Research

Michelle P Harwood, Isabel Alves, Hilary Edgington, Mawusse Agbessi, Vanessa Bruat, David Soave, Fabien C Lamaze, Marie-Julie Favé, Philip Awadalla (2022). Recombination affects allele-specific expression of deleterious variants in human populations, Science Advances

Võsa U et al. (2021) Unraveling the polygenic architecture of complex traits using blood eQTL meta-analysis, Nature Genetics

Marie-Julie Favé, Fabien Lamaze, David Soave, Alan Hodgkinson, Héloise Gauvin, Vanessa Bruat, Jean-Christophe Grenier, Elias Gbeha, Kimberly Skead, Audrey Smargiassi, Markey Johnson, Youssef Idaghdour, Philip Awadalla. (2018). Gene-by-Environment interactions in urban populations modulate risk phenotypes. Nature Communications

Featured in Nature Clean Air collection (https://www.nature.com/collections/fifbihieie/)

Marie-Julie Favé, Robert A. Johnson, Stefan Cover, Stephan Handschuh, Brian D. Metscher, Gerd B. Müller, Shyamalika Gopalan, and Ehab Abouheif. (2015) Past climate change on Sky Islands drives novelty in a core developmental gene network and its phenotype." BMC evolutionary biology