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Associate Professor Dale Nyholt

Faculty of Health,
School - Biomedical Sciences


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
and associations

Head, Statistical and Genomic Epidemiology Laboratory, Molecular Medicine Program Leader, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT). Member of the American Society of Human Genetics.

** 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.

Upcoming opportunities: The Australia Awards–Endeavour Scholarships and Fellowships offer support to internationals to undertake study, research or professional development in Australia.

Applications for the 2018 round are expected to open in April 2017 (and will likely close 30 June 2017). Please check the Endeavour Scholarship and Fellowships website closer to April 2017 for further information.

Applicants are encouraged to refer to the QUT Endeavour Postgraduate Scholarships webpage and the Endeavour Scholarship and Fellowships website prior to submitting an application.


Statistical, Genomic, Epidemiology, Genetics

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


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.

This information has been contributed by Associate Professor Dale Nyholt.


For publications by this staff member, visit QUT ePrints, the University's research repository.