Statistical Genomics

Our research aims at discovering genes and biological pathways involved in the etiology of complex human traits and multifactorial diseases such as obesity or type 2 diabetes.

 

Our research aims at discovering genes and biological pathways involved in the etiology of complex human traits and multifactorial diseases such as obesity or type 2 diabetes.

Our group develops new analysis tools that can maximise the utility of genetics studies across human populations of all ancestries.

A better understanding of genes underlying inter-individual variation in disease susceptibility has the potential to illuminate new and personalised therapies.

tiny people forming dna helix symbol

Group leader

Dr Loic Yengo

Dr Loic Yengo

Group Leader, Statistical Genomics

ARC DECRA Research Fellow

  +61 7 334 62095
  l.yengo@imb.uq.edu.au
  UQ Researcher Profile

Our approach

Our research questions can be approached through a series of estimation, extensive computer simulations, and statistical testing and prediction problems.

Each of these problems require developing new theoretical models that can best represent the data and also implementing new software tools for scalable analysis of millions of observations simultaneously.

Research areas
 


Ageing

  • Deleterious mutations and lifetime effects of inbreeding
  • Metabolic and Cardiovascular disease
  • Novel Inference from Biobank Data

     


Common diseases

  • Obesity
  • Type 2 Diabetes
  • Hypertension
  • Trans-Ancestry Genomics

     


Into the future

  • Evolution of mating system in humans
  • Theory for Statistical Genetics Inference
  • Trans-Ancestry Genomics
  • Efficient computation in large scale biobank (hybrid computing)

More information
 

Our team

Group leader

Researchers

Students

Research excellence

$1.3 billion+ commercial investment attracted to IMB research
1454 international collaborators
 
385 original publications in 2020
 
$28M in research funding last calendar year
 
20%+ of patent families at UQ are derived from IMB research
100% of donations go to the cause
 

Help us shape the future
 

 Donate        Study with us

Stories

Pages

Connect with us

           ​