Epidemiology of Gout in French Polynesia (TOPATA)

April 16, 2026 updated by: Lille Catholic University

Gout in French Polynesia: Epidemiology and Comorbidities, Genetic Causes and Prevalence of HLA B58:01

Gout is a chronic disease caused by the deposit of monosodium urate (MSU) crystals in body tissues secondary to hyperuricemia. Patients with gout suffer severe attacks of acute joint pain. As the disease progresses, the joint pain becomes chronic and associated with disabling and deformative manifestations called tophi. Gout is strongly associated with various comorbidities including cardiovascular disease and chronic kidney failure. Gout is a very common disease, affecting 0.9% of the adult population in France and nearly 4% of the North-American population. Data from New Zealand show a particularly high prevalence of gout among Polynesians (minority populations in New Zealand and other islands of the South Pacific) that would be explained by genetic susceptibility and frequently intertwined with metabolic diseases. Recent findings obtained from the Polynesian population in New Caledonia disclose high prevalence figures close to 7%, a level expected to be confirmed by an epidemiology study that will be conducted in parallel with the present study and designed to determine the precise prevalence of gout in French Polynesia and the most frequently associated genetic variants.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

International genomic studies conducted in populations with hyperuricemia and gout have identified a number of associated alleles. The strength of the association between a given allele and gout (or hyperuricemia) provides an indication of the importance of the encoded protein in disease pathogenesis. It was in this way that the development of gout was found to depend on renal urate transporters that were subsequently targeted by new uricosuric therapies.

Overall, the search for gout-associated genes has mostly been done in the general European population and revealed a small number of candidate loci. Most of these only contribute a small amount to the heritability for gout susceptibility, suggesting that additional genes and mechanisms of genetic influence are yet to be discovered. A common feature of Genome-Wide Association studies done so far is that usually large sample sizes are required in order to detect differences in allele frequencies and their contribution to different traits between test groups. The Polynesian population of French Polynesia possesses characteristics that make it particularly attractive to carry out population-based genetic research. Historical records indicate that the Polynesians of Tahiti and surrounding islands originate from a small founder population that has undergone a number of bottlenecks, eventually becoming a genetically homogenous population with a fairly high degree of consanguinity. The combination of a historic founder event, continued isolation and recent expansion are all ideal properties for a Genome Wide Association Study, as they ensure that 1) population stratification will be easy to correct when performing association tests and 2) there are likely high-effect variants that were kept at low frequency in mainland Europe due to negative selection but rose to high frequencies in the Polynesians via the increase in genetic drift or selection through adaptation to a specific environment and diet. Therefore, it is plausible that rare variants with large effect on health-related quantitative traits may be more easily detectable in Polynesians, even with much smaller sample sizes.

Study Type

Interventional

Enrollment (Actual)

1088

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Pirae, French Polynesia, 98713
        • Centre Hospitalier de la Polynésie Française

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years to 76 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Living in Tahiti, Moorea, Tahaa-Raiatea, Tikehau, Nuku Hiva, Mangareva, Rurutu
  • Agreeing to participate in the study

Exclusion Criteria:

  • Homeless
  • Living in communities (military camp, hospices, university residence, ...)
  • Unable to answer questionnaires
  • Under guardianship

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Epidemiological study
Questionnaires (quality of life, gout, life habit, comorbidities) anthropometrics and health measures DNA analysis RNA analysis Metabolomic analysis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Gout Prevalence
Time Frame: 6 months
Measure of gout prevalence
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnosis of Hyperuricemia
Time Frame: 6 months
Diagnosed when uricemia is higher than 360 µmol/l
6 months
Genome wide analysis for identification of genetic variants linked to gout
Time Frame: 6 months
Analysis of the genetic determinants of gout and hyperuricemia in French Polynesia via a pan-genomic analysis using complete and then rapid sequencing techniques
6 months
HLA B58:01 allele prevalence
Time Frame: 6 months
6 months
Multiple correlation between renal failure, diabetes, gout and cardiovascular comorbidities
Time Frame: 6 months
The association between cardiovascular comorbidities/renal failure/diabetes and gout will be investigated using a multivariate logistic regression model.
6 months
Multiple correlation between renal failure, diabetes, hyperuricemia and cardiovascular comorbidities
Time Frame: 6 months
The association between cardiovascular comorbidities/renal failure/diabetes and hyperuricemia will be investigated using a multivariate logistic regression model.
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Tristan Pascart, MD, PhD, GHICL

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 29, 2021

Primary Completion (Actual)

August 16, 2021

Study Completion (Actual)

August 16, 2021

Study Registration Dates

First Submitted

March 17, 2021

First Submitted That Met QC Criteria

March 22, 2021

First Posted (Actual)

March 24, 2021

Study Record Updates

Last Update Posted (Actual)

April 21, 2026

Last Update Submitted That Met QC Criteria

April 16, 2026

Last Verified

April 1, 2026

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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