Polygenic Score Approach to Predicting Risk of Metabolic Syndrome
Polygenic scores could aid in predicting MetS risk and health outcomes, emphasizing the need for diagnostic tools tailored to specific populations. Additional research is warranted to corroborate these conclusions and explore the molecular mechanisms of MetS.
Authors
- Zhanna Balkhiyarova (ORCID: https://orcid.org/0000-0003-3553-7126)
- Inga Prokopenko (ORCID: https://orcid.org/0000-0003-1624-7457)
- Olga Vladimirovna Kochetova (ORCID: https://orcid.org/0000-0002-2944-4428)
- Arie Nouwen (ORCID: https://orcid.org/0000-0002-0609-4082)
- Yanina Timasheva (ORCID: https://orcid.org/0000-0002-9918-6962)
- Gulnaz Faritovna Korytina (ORCID: https://orcid.org/0000-0002-1695-5173)
Institutions
- University of Surrey (GB)
- Ufa Institute of Chemistry (RU)
- Bashkir State Medical University (RU)
- Middlesex University London (GB)
Publication Details
- Journal
- Genes
- Published
- 2024-12-26
- DOI
- https://doi.org/10.3390/genes16010022
- Citations
- 2
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- Russian Academy of Sciences