student profile: Mr Victor Wei Tse Hsu


Thesis work

Thesis title: Genomic prediction in the management of cancer: canine lymphoma model.

Supervisors: Mehar KHATKAR , Peter WILLIAMSON

Thesis abstract:

Cancer is a common cause of mortality in dogs. One of the most common forms of canine cancer is lymphoma, a cancer of lymphocytes, which accounts for up to 25% of cancer cases. Lymphoma in dogs is in most cases treatable but not curable, with more aggressive forms leading to rapid decline and death within 1-6 months. There are a number of studies that provide evidence of an association of lymphoma and breed, e.g. in the Boxer, Bullmastiffs, Golden Retriever, Cavalier King Charles Spaniels, and Border Collies.

Genetics research has increased rapidly with high throughput molecular biology tools and analytical approaches. Genotype data has provided insights into many questions about cancer risk factors for a wide range of species based. While the development of tumours have been largely investigated, the molecular basis of specific risk factors is still largely unclear.

Simulations of trait-specific genome-wide scans is developed base on SNP data to compute composite selection signals (CSS) by multiple information from: 1) in-house genotype datasets, 2) published canine genotype datasets and 3) canine phenotype dataset.

The overall objective of these studies is to generate outcomes that may contribute to development of a high-throughput, low-cost test for cancer in dogs.

Note: This profile is for a student at the University of Sydney. Views presented here are not necessarily those of the University.