HomeProjectsBiomedical Sciences and Healthcare TechnologiesComplex Disease Screening Using Human Genome Data

Complex Disease Screening Using Human Genome Data

Project Quick Facts

Principal Investigator

  • Prof. WANG Haitian Maggie

    The Jockey Club School of Public Health and Primary Care

  • Funding

    Research Grants Council

  • Collaboration

    Beth Bioinformatics Co., Ltd

    *The technology is exclusively licensed to Beth Bioinformatics. The company is currently in collaboration with gene-testing companies.

  • Patent

    1 US provisional application, National Phase: China, US, Europe

Complex disease refers to diseases without identifiable single major cause. Our team chose a couple of diseases currently known to have strong genetic heritability – such as Alzheimer’s disease and Schizophrenia – and invented a novel statistical method to account for the effects of genome interactions. Using this method, the team successfully developed a screening test that is significantly more accurate in risk-assessment than existing methods, through analyzing human genome data. Paired along with 3rd generation sequencing, we hope to provide quick and reliable services for primary care, genetic-testing companies and insurance industry in a wide-range screening setting.

Could incorporate with 3rd generation sequencing device to provide analysis on the site in the future
AUC improvement by our patent technology: Prism Vote. Our patent analytic platform can be applied to any disease whole genome sequencing data to improve prediction accuracy.

Uniqueness and Competitive Advantages:

  • Better accuracy in risk assessment
  • Could incorporate clinical parameters to further increase accuracy
  • Tolerant to various format of human genome data sets
  • Caters to human genome data of people of Asian ethnicity
  • Could be used for other complex disease in the future

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