Dataset Information

Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Maori and Pacific (Polynesian) people living in Aotearoa/New Zealand.

ABSTRACT: AIMS/HYPOTHESIS:The A (minor) allele of CREBRF rs373863828 has been associated with increased BMI and reduced risk of type 2 diabetes in the Samoan populations of Samoa and American Samoa. Our aim was to test rs373863828 for associations with BMI and the odds of type 2 diabetes, gout and chronic kidney disease (CKD) in M?ori and Pacific (Polynesian) people living in Aotearoa/New Zealand. METHODS:Linear and logistic regression models were used to analyse the association of the A allele of CREBRF rs373863828 with BMI, log-transformed BMI, waist circumference, type 2 diabetes, gout and CKD in 2286 adults. The primary analyses were adjusted for age, sex, the first four genome-wide principal components and (where appropriate) BMI, waist circumference and type 2 diabetes. The primary analysis was conducted in ancestrally defined groups and association effects were combined using meta-analysis. RESULTS:For the A allele of rs373863828, the effect size was 0.038 (95% CI 0.022, 0.055, p?=?4.8?×?10-6) for log-transformed BMI, with OR 0.59 (95% CI 0.47, 0.73, p?=?1.9?×?10-6) for type 2 diabetes. There was no evidence for an association of genotype with variance in BMI (p?=?0.13), and nor was there evidence for associations with serum urate (??=?0.012 mmol/l, pcorrected?=?0.10), gout (OR 1.00, p?=?0.98) or CKD (OR 0.91, p?=?0.59). CONCLUSIONS/INTERPRETATION:Our results in New Zealand Polynesian adults replicate, with very similar effect sizes, the association of the A allele of rs373863828 with higher BMI but lower odds of type 2 diabetes among Samoan adults living in Samoa and American Samoa.

SUBMITTER: Krishnan M

PROVIDER: S-EPMC6434933 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Māori and Pacific (Polynesian) people living in Aotearoa/New Zealand.

Krishnan Mohanraj M Major Tanya J TJ Topless Ruth K RK Dewes Ofa O Yu Lennex L Thompson John M D JMD McCowan Lesley L de Zoysa Janak J Stamp Lisa K LK Dalbeth Nicola N Harré Hindmarsh Jennie J Rapana Nuku N Deka Ranjan R Eng Winston W H WWH Weeks Daniel E DE Minster Ryan L RL McGarvey Stephen T ST Viali Satupa'itea S Naseri Take T Sefuiva Reupena Muagututi'a M Wilcox Phillip P Grattan David D Shepherd Peter R PR Shelling Andrew N AN Murphy Rinki R Merriman Tony R TR

Diabetologia 20180502 7

<h4>Aims/hypothesis</h4>The A (minor) allele of CREBRF rs373863828 has been associated with increased BMI and reduced risk of type 2 diabetes in the Samoan populations of Samoa and American Samoa. Our aim was to test rs373863828 for associations with BMI and the odds of type 2 diabetes, gout and chronic kidney disease (CKD) in Māori and Pacific (Polynesian) people living in Aotearoa/New Zealand.<h4>Methods</h4>Linear and logistic regression models were used to analyse the association of the A al ...[more]

PMID: 29721634

Similar Datasets

Project description:In Aotearoa, New Zealand, the majority of cervical cancer cases occur in women who have never been screened or are under-screened. Wāhine Māori, Pacific and Asian women have the lowest rate of cervical screening. Self-sampling for human papillomavirus (HPV-SS) has been shown to increase participation in cervical cancer screening. A whole-of-system approach, driven by evidence in the most effective delivery of HPV-SS, is required to mitigate further widening of the avoidable gap in cervical screening access and outcomes between groups of women in Aotearoa. This single-arm feasibility and acceptability study of HPV self-sampling invited never- and under-screened (≥5 years overdue) 30-69-year-old women from general practices in Auckland, Aotearoa. Eligible women were identified by data matching between the National Cervical Programme (NCSP) Register and practice data. Focus groups were additionally held with eligible wāhine Māori, Asian and Pacific women to co-design new patient information materials. Questionnaires on HPV knowledge and post-test experience were offered to women. Our follow-up protocols included shared decision-making principles, and we committed to follow-up ≥90% of women who tested positive for HPV. Data matching identified 366 eligible never- and under-screened wāhine Māori, Pacific and Asian women in participating practices. We were only able to contact 114 women, and 17, during the discussion, were found to be ineligible. Identifying and contacting women overdue for a cervical screen was resource-intensive, with a high rate of un-contactability despite multiple attempts. We found the best uptake of self-sampling was at focus groups. Of the total 84 HPV-SS tests, there were five positive results (6%), including one participant with HPV18 who was found to have a cervical Adenocarcinoma at colposcopy. In our feasibility study, self-sampling was acceptable and effective at detecting HPV and preventing cervical cancer in under-screened urban wāhine Māori, Pacific and Asian women in Aotearoa. This is the first report of cervical Adenocarcinoma (Grade 1B) as a result of an HPV-18 positive self-sample in Aotearoa. We co-designed new patient information materials taking a health literacy and ethnicity-specific approach. This work provides policy-relevant information to the NCSP on the resources required to implement an effective HPV self-sampling programme to improve equity in national cervical cancer screening.

Project description:IntroductionThe COVID-19 pandemic has had both direct and indirect impacts on the health of populations worldwide. While racial/ethnic health inequities in COVID-19 infection are now well known (and ongoing), knowledge about the impact of COVID-19 pandemic management on non-COVID-19-related outcomes for Indigenous peoples is less well understood. This article presents the study protocol for the Health Research Council of New Zealand funded project 'Mā te Mōhio ka Mārama: Impact of COVID-19 on Māori:non-Māori inequities'. The study aims to explore changes in access to healthcare, quality of healthcare and health outcomes for Māori, the Indigenous peoples of Aotearoa New Zealand (NZ) and non-Māori during the COVID-19 outbreak period across NZ.Methods and analysisThis observational study is framed within a Kaupapa Māori research positioning that includes Kaupapa Māori epidemiology. National datasets will be used to report on access to healthcare, quality of healthcare and health outcomes between Māori and non-Māori during the COVID-19 pandemic in NZ. Study periods are defined as (a) prepandemic period (2015-2019), (b) first pandemic year without COVID-19 vaccines (2020) and (c) pandemic period with COVID-19 vaccines (2021 onwards). Regional and national differences between Māori and non-Māori will be explored in two phases focused on identified health priority areas for NZ including (1) mortality, cancer, long-term conditions, first 1000 days, mental health and (2) rheumatic fever.Ethics and disseminationThis study has ethical approval from the Auckland Health Research Ethics Committee (AHREC AH26253). An advisory group will work with the project team to disseminate the findings of this project via project-specific meetings, peer-reviewed publications and a project-specific website. The overall intention of the project is to highlight areas requiring health policy and practice interventions to address Indigenous inequities in health resulting from COVID-19 pandemic management (both historical and in the future).

Dataset Information

Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Maori and Pacific (Polynesian) people living in Aotearoa/New Zealand.

Publications

Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Māori and Pacific (Polynesian) people living in Aotearoa/New Zealand.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets