Work in Progress: Developing Polygenic disease scores from literature using ADNI
Type of content
Oral Presentation
UC permalink
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
University of Canterbury. School of Health Sciences
Journal Title
Journal ISSN
Volume Title
Language
Date
2016
Authors
Basu, A.
Abstract
Challenge: Construct a predictive model using SNP data from GWAS studies to predict and model diseases and health outcomes? [Genetic Prediction for Illness]
Description
Citation
Basu, A. (2016) Work in Progress: Developing Polygenic disease scores from literature using ADNI. Brisbane, Australia: Queensland Institute of Medical Research Berghofer Research Meeting, 19 Apr 2016.
Keywords
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::11 - Medical and Health Sciences::1103 - Clinical Sciences
Field of Research::08 - Information and Computing Sciences::0807 - Library and Information Studies::080702 - Health Informatics
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320213 - Medical genetics (excl. cancer genetics)
Field of Research::08 - Information and Computing Sciences::0807 - Library and Information Studies::080702 - Health Informatics
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320213 - Medical genetics (excl. cancer genetics)