Collaborative Research Team Project #08

Rare DNA Variants and Human Complex Traits: Improving Analyses of Family Studies by Better Modeling the Dependence Structures

This project explores familial dependence structures in DNA sequence data. This is used in investigating rare genetic mutations that may be involved in complex diseases.

Research Category: Health & Biology
Region:
National
Date:
2016-2019

Why Study Genetic Mutations in Families?

The advent of high-throughput DNA sequencing has opened the possibility of detecting rare genetic mutations that may be involved in complex diseases. 

Family samples are better suited to establish the involvement of rare mutations in complex traits than samples of unrelated subjects. This is because in a family, due to the basic principles of inheritance, multiple affected members may carry the same rare mutation.

CRT 08 B

Areas of Exploration

Dependence Structures

Includes investigating the various forms of dependence structures in familial DNA sequence data. 

Sources of dependence can include:

  • the relationships among family members, either known or unknown to the investigators;
  • the association among mutations located at nearby genomic regions, detectable through DNA-sequence familial and population patterns;
  • dependence among multiple traits. 

Solving Global Challenges

Research Team’s Goals

To bring together statisticians, genetic epidemiologists and complex trait experts to better integrate and model the various forms of dependence. 

To develop statistical inference approaches that are more general and adapted  (with gains in power and validity) than the few methods currently applicable.


People Behind the Project

Project Team

Alexandre Bureau | Université Laval

Karim Oualkacha | Université du Québec à Montréal

Collaborators

From the fields of statistics and genetic epidemiology:

Marie-Hélène Roy-Gagnon | University of Ottawa

Kelly Burkett | University of Ottawa

Fabrice Larribe | Université du Québec à Montréal

Aurélie Labbe | HEC Montréal

Jinko Graham | Simon Fraser University

Celia Greenwood | McGill University

M’Hamed Lajmi Lakhal Chaieb | Université Laval

Ingo Ruczinski | Johns Hopkins Bloomberg School of Public Health in Baltimore, USA

Eleftheria Zeggini | Wellcome Trust Sanger Institute in Cambridge, UK

In addition, five Canadian experts will contribute data and insights on the genetics of complex traits.

Contact

Rare DNA Variants and Human Complex Traits: Improving Analyses of Family Studies by Better Modeling the Dependence Structures is a Collaborative Research Team project. This program tackles complex problems through a three-year research and training agenda.


CANSSI offers approximately $200,000 for this type of project, which requires a team of faculty, postdocs, and students.