Evidence map›Paper›PMID 40756826›Full record

ArticleJournal of the Royal Society of New Zealand2025

Rakeiora Genomics Platform: a pathfinder for genomic medicine research in Aotearoa New Zealand.

Claire E Rye, Huti Puketapu-Watson, Helen Wihongi, Ben Te Aika, Donia Macartney-Coxson, Joep de Ligt, Cristin G Print, Polona Le Quesne Stabej, Peter Tsai, Ben Curran and 12 more

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Claire E RyeNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.ORCID https://orcid.org/0000-0003-4630-7836
Huti Puketapu-WatsonNgāti Porou Oranga, Gisborne, Aotearoa New Zealand.
Helen WihongiTe Whatu Ora Waitematā, Aotearoa New Zealand.
Ben Te AikaResearch and Enterprise Office, University of Otago, Dunedin, Aotearoa New Zealand.
Donia Macartney-CoxsonHuman Genomics, Institute of Environmental Science and Research, Wellington, Aotearoa New Zealand.
Joep de LigtBioinformatics & Genomics, Institute of Environmental Science and Research, Wellington, Aotearoa New Zealand.
Cristin G PrintDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, Aotearoa New Zealand.
Polona Le Quesne StabejDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, Aotearoa New Zealand.
Peter TsaiDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, Aotearoa New Zealand.
Ben CurranDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, Aotearoa New Zealand.
Nick JonesNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.ORCID https://orcid.org/0000-0001-5513-8312
Jun HuhNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.
E Owen PerkinsNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.
Matt PestleNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.
Kenny ZhaoNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.
Yuriy HalytskyyNew Zealand eScience Infrastructure, University of Auckland, Auckland, Aotearoa New Zealand.
Stephen P RobertsonDepartment of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, Aotearoa New Zealand.ORCID https://orcid.org/0000-0002-5181-7809
Benjamin J HallidayDepartment of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, Aotearoa New Zealand.ORCID https://orcid.org/0000-0002-7330-7797
Elizabeth GoodinDepartment of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, Aotearoa New Zealand.ORCID https://orcid.org/0000-0002-5082-8231
David M MarkieDepartment of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, Aotearoa New Zealand.
Alastair LamontDepartment of Mathematics and Statistics, University of Otago, Dunedin, Aotearoa New Zealand.
Phillip WilcoxMaurice Wilkins Centre for Molecular Biodiscovery Auckland, Aotearoa New Zealand.ORCID https://orcid.org/0000-0001-8485-6962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

data platformgenomicsIndigenous data sovereigntyPrecision medicinetino rangatiratanga

Identifiers

PMID40756826
PMCPMC12315136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.