- Associate Professor Dale Nyholt
- Associate Professor
Faculty of Health,
School - Biomedical Sciences
- IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects,
IHBI Biomedical Sciences - CDA
- Discipline *
- Genetics, Statistics
- +61 7 3138 0067
- +61 7 3138 6030
- View location details (QUT staff and student access only)
Ph.D Health Sciences (Griffith University)
- Professional memberships
Head, Statistical and Genomic Epidemiology Laboratory, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT). Member of the American Society of Human Genetics.
Breaking News: a new QUT PhD scholarship round opened 5 January 2017.
Applications close at 11:59 PM on 28 February 2017.
Applicants are encouraged to refer to the Guide to applying for the 2017 targeted scholarship round (PDF file) prior to submitting an application for a 2017 targeted scholarship.
The scholarship on offer in the 2017 Targeted Scholarship is a QUT Postgraduate Research Award (QUTPRA), which pays a living allowance (2017 full time stipend rate: $26 682* per annum) and includes:
- a QUT HDR tuition fee sponsorship (for international students), and
- single overseas health cover (OSHC)** for the duration of the student visa (for international students)
Full information is available at: https://www.qut.edu.au/study/fees-and-scholarships/scholarships-and-prizes/qut-postgraduate-research-award-qutpra
Please contact us about submitting an application.
Statistical, Genomic, Epidemiology, Genetics
I am a Human Geneticist expert in the statistical analysis of common complex traits. My expertise spans statistical genetic and genomic analysis, epidemiology, bioinformatics and biostatistics. My Statistical and Genomic Epidemiology Laboratory (SGEL) studies the role of genetics in the development and mechanism of human traits, with particular emphasis on migraine, with the specific goal of identifying genetic risk factors and detecting common genetic links with other disorders, including depression and endometriosis. The identification of such causal genetic factors and how they interact with environment exposures will provide a deeper understanding of the aetiology of migraine and our ability to prevent and treat attacks, and facilitate the discovery of novel pathways and thus identify new targets for drug therapy. SGEL also develops novel statistical bioinformatics programs used by researchers worldwide. ** Prospective PhD students ** Please check out some of our current project and research opportunities. For more information about enrolling, please visit the QUT student Gateway.
For publications by this staff member, visit QUT ePrints, the University's research repository.