MHRC Research Seminar: Computational Pipeline for Cross-trait Analysis with Examples for Psychological and Neurological Diseases

Enjoy free admission, all are welcome.

* Seats are limited and will be allocated on a 'first in, first served' basis.
* Online link will be provided if the seats are full.
* Please note that NO Physiotherapy (PT) and Occupational Therapy (OT) CPD points will be offered by the research seminar.

Topic:
Computational Pipeline for Cross-trait Analysis with Examples for Psychological and Neurological Diseases

Abstract:
In this talk, Prof. Liang will discuss his published computational pipelines for cross-trait genomics data analysis. The pipeline is generally applicable to complex human diseases. Prof. Liang will highlight his works involving psychological and neurological diseases and traits, including depression, anxiety, attention-deficit/hyperactivity disorder (ADHD), Alzheimer's disease, among others. These examples will be used to spark ideas for future collaborations.

Speaker:
Prof. Liming LIANG
Professor of Statistical Genetics
Departments of Epidemiology and Biostatistics
Harvard T.H. Chan School of Public Health
Harvard University

Biography:
Prof. Liang's group focuses on developing the computational and statistical tools for analyses of multi-omics data to understand the biological mechanism for diseases and provide prediction model to assess future risk and individual benefit for intervention. Prof. Liang actively applies these methods to large-scale studies and unique longitudinal cohorts focusing on Asthma, Allergy, Lung Cancer, COPD, Age-Related Macular Degeneration (AMD), Diabetes, Heart Diseases and other cardiometabolic traits with study subjects from European, African, Hispanic and Asian populations.