ArticleJournal of translational medicine2018
Harnessing Qatar Biobank to understand type 2 diabetes and obesity in adult Qataris from the First Qatar Biobank Project.
Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Associations Between a Surrogate Index of Insulin Resistance and Hyperuricemia in Young and Middle-Aged Patients With Type 2 Diabetes Mellitus.Journal of diabetes research · 2026Article
- Predictive Utility and Metabolomic Signatures of TG/HDL-C Ratio for Metabolic Syndrome Without Cardiovascular Disease and/or Diabetes in Qatari Adults.Metabolites · 2025Article
- Association of plasma levels of Sestrin2 with adiposity and metabolic function indices in healthy and diabetic subjects from Qatar Biobank.Frontiers in endocrinology · 2025Article
- VISH-Pred: an ensemble of fine-tuned ESM models for protein toxicity prediction.Briefings in bioinformatics · 2024Article
- A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- Prevalence of asymptomatic hyperuricemia and its association with prediabetes, dyslipidemia and subclinical inflammation markers among young healthy adults in Qatar.BMC endocrine disorders · 2022Article
- Systems biology analysis of human genomes points to key pathways conferring spina bifida risk.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Dietary patterns and glycaemic control among Qatari adults with type 2 diabetes.Public health nutrition · 2021Article
- Obesity in Qatar: A Case-Control Study on the Identification of Associated Risk Factors.Diagnostics (Basel, Switzerland) · 2020Article
- Article
- Correction to: Harnessing Qatar Biobank to understand type 2 diabetes and obesity in adult Qataris from the First Qatar Biobank Project.Journal of translational medicine · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHuman tissues are invaluable resources for researchers worldwide. Biobanks are repositories of such human tissues and can have a strategic importance for genetic research, clinical care, and future discoveries and treatments. One of the aims of Qatar Biobank is to improve the understanding and treatment of common diseases afflicting Qatari population such as obesity and diabetes.
methodsIn this study we apply a panorama of state-of-the-art statistical methods and machine learning algorithms to investigate associations and risk factors for diabetes and obesity on a sample of 1000 Qatari population.
resultsRegarding diabetes, we identified pronounced associations and risk factors in Qatari population including magnesium, chloride, c-peptide of insulin, insulin, and uric acid. Similarly, for obesity, significant associations and risk factors include insulin, c-peptide of insulin, albumin, and uric acid. Moreover, our study has revealed interactions of hypomagnesemia with HDL-C, triglycerides, and free thyroxine.
conclusionsOur study strongly confirms known associations and risk factors associated with diabetes and obesity in Qatari population as previously found in other population studies in different parts of the world. Moreover, interactions of hypomagnesemia with other associations and risk factors merit further investigations.
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