Rakeiora Genomics Platform: a pathfinder for genomic medicine research in Aotearoa New Zealand
The Rakeiora program was designed for high impact precision health research in Aotearoa New Zealand. It required a genomics platform to facilitate linkage of whole genome DNA sequencing data, healthcare records, and mātauranga whakapapa (genealogical knowledge) in a powerful, secure, and transparently governed computational environment. A team of Māori and non-Māori with diverse professional and cultural expertise co-developed Rakeiora; embedding te ao Māori (Māori world) was crucial, including principles derived from: tikanga Māori (Māori traditional rules, values, culture), Te Tiriti o Waitangi (agreement between the British Crown and many Māori chiefs), and data sovereignty. This internationally unique prospective hard-wiring of Indigenous values into a computational platform created a robust infrastructure which benefits all participants. Application of best practice standards and tools facilitate transparency, provide kaitiaki (guardians) control and governance over data and analyses, and enable genomic, bioinformatic and statistical analyses by researchers within a computational 'walled garden'. Although a prototype, the platform is designed to be scalable, accommodating diverse data types and communities, each with their own specific interests and needs. This paper outlines part of the Rakeiora program - the creation, development and technological aspects of the genomic analysis platform and its potential to enable precision health research in Aotearoa.
Authors
- Donia Macartney‐Coxson (ORCID: https://orcid.org/0000-0002-1051-537X)
- Helen Wihongi (ORCID: https://orcid.org/0000-0001-6801-6955)
- Elizabeth Goodin (ORCID: https://orcid.org/0000-0002-5082-8231)
- Kun Zhao (ORCID: https://orcid.org/0000-0002-4479-1102)
- Ben Te Aika
- Stephen P. Robertson (ORCID: https://orcid.org/0000-0002-5181-7809)
- Claire E. Rye (ORCID: https://orcid.org/0000-0003-4630-7836)
- Polona Le Quesne Stabej (ORCID: https://orcid.org/0000-0002-9436-5857)
- Benjamin J. Halliday (ORCID: https://orcid.org/0000-0002-7330-7797)
- Andrew Lamont (ORCID: https://orcid.org/0000-0002-9580-5316)
- Pearce Wilcox (ORCID: https://orcid.org/0000-0001-8485-6962)
- Cristin G. Print (ORCID: https://orcid.org/0000-0001-8345-7812)
- Joep de Ligt (ORCID: https://orcid.org/0000-0002-0348-419X)
- David Markie (ORCID: https://orcid.org/0000-0001-5452-9194)
- Jun Ho Huh (ORCID: https://orcid.org/0000-0003-2007-4018)
- Peter Tsai (ORCID: https://orcid.org/0000-0002-9930-9029)
- Nick S. Jones (ORCID: https://orcid.org/0000-0002-4083-972X)
- Ben Curran (ORCID: https://orcid.org/0000-0002-4048-7744)
- Yuriy Halytskyy
- E. Owen Perkins
- Matt Pestle
- Huti Puketapu-Watson
Institutions
- University of Auckland (NZ)
- Government of New Zealand (NZ)
- Dunedin Public Hospital (NZ)
- Children's Cancer Institute Australia (AU)
- New Zealand Association of Counsellors (NZ)
- Safety Management Systems Aotearoa (New Zealand) (NZ)
- Maurice Wilkins Centre (NZ)
- New Zealand eScience Infrastructure (NZ)
- New Zealand Institute for Public Health and Forensic Science (NZ)
- University of Otago (NZ)
Publication Details
- Journal
- Journal of the Royal Society of New Zealand
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1080/03036758.2025.2469626
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Business, Innovation and Employment