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

Research Institute / Research Centre Seminar

  • Date

    17 Jul 2024

  • Organiser

    Mental Health Research Centre

  • Time

    10:30 - 12:00

  • Venue

    Hybrid Mode: HJ302, 3/F, Stanley Ho Building, PolyU or Online via Zoom  

Enquiry

Ms Carol Yau 2766 4445 carol-mui.yau@polyu.edu.hk

Remarks

Registration starts at 10:15 a.m.

Summary

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.

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