SA Branch Meeting. Novel design and statistical tools to solve problems in complex traits and diseases. Dr Hong Lee. Uni SA.

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SSA SOUTH AUSTRALIAN BRANCH – 24th OCTOBER MEETING

The South Australian Branch of the Statistical Society would like to invite you to the October meeting of the 2018 program.

Venue: Engineering & Math Nth EM218, North Terrace, Adelaide University. Campus map is available at http://www.adelaide.edu.au/campuses/northtce/.

***Please note that most entrance doors to Adelaide University buildings close at 6pm so make sure you arrive in time for the talk.

Time:
5.30pm – Refreshments in the Lecture Theatre.
6.05pm – General Meeting Talk.
7.30 pm – A dinner will be held after the meeting at Jasmin Restaurant, 31 Hindmarsh Square, Adelaide SA 5000.
Please rsvp for dinner to aarti.gulyan[email protected] by 22th Oct as we are usually unable to change the booking numbers at the last minute.

 

Speaker: Dr Hong Lee

Topic: Novel design and statistical tools to solve problems in complex traits and diseases

 

Abstract:
The genomics era has brought useful tools to dissect the genetic architecture of complex traits and to stratify a heterogeneous population of (potential) patients by their predicted genetic risk for complex diseases (genomic prediction for precision medicine). Combining with advanced statistical tools, we show how the genomic information has been used for the estimation of genetic variation within and covariation between complex diseases (for example, using psychiatry disorders). This includes genomic partitioning analyses across the genome or functional categories, i.e. enrichment analysis of variance attributable to a set of genes expressed in the central nervous system. We also show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. This novel approach can be further extended to tackle a number of interesting problems in complex traits and diseases, e.g. finding the latent genetic relationship between complex traits and estimating genotype-environment interaction. Finally, I will discuss the implication of the novel tools and findings in the field.

Biography:

Dr S. Hong Lee is a Senior Lecturer in Statistical Genetics at the Australian Centre for Precision Health, University of South Australia Cancer Research Institute, School of Health Science at University of South Australia. He is an ARC Future Fellow (2017–2020). He graduated from Dong-A University in S. Korea (Bachelor in 1998) and University of New England (Master and PhD in 2006). Dr Lee has extensive experience in developing advanced statistical methods to estimate genetic variance and individual genetic effects based on phenotype-genotype association analyses. Currently, Dr Lee is focusing on understanding the genetic architecture of complex traits by tackling G x E interaction using advanced statistical models. His developed models and methods have been also widely used across multidisciplinary fields including human genetics, animal and plant breeding, evolutionary genetics and social and behaviour science. The total number of his publications is 80 that have ~14,000 citations to date and h-index 43.

Feel free to forward this meeting notice to colleagues, all welcome.

 

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Aarti Gulyani
Secretary
SA Branch
Statistical Society of Australia
Phone: 08 8128 4754
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SA Branch Meeting. Novel design and statistical tools to solve problems in complex traits and diseases. Dr Hong Lee. Uni SA.
When: 24/10/2018
Time: 5:30 pm - 7:15 pm
Cost: Free
Location: Engineering & Maths EM218,
North Terrace, Adelaide University,
Adelaide,
South Australia 5001
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