<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Gout (Gr. podagra) is a multifactorial pathology, which means that both genetic and environmental factors play a role in the aetiology of the disease. For these reasons, revealing risk factors could be of very high importance in prevention and treatment of gout. In the present study, we found that a major role in gout predisposition is played by specific alleles in the ABCG2 gene. The study used survey data for 43 gout patients and 99 healthy control individuals who were geno-typed for rs2231142. It was found that allelic variant rs2231142 in the ABCG2 gene had the strongest association with gout. Among other co-factors studied, sex, and increased body mass index were associated with gout.</p></abstract>

Gout (Gr. podagra) is a multifactorial pathology, which means that both genetic and environmental factors play a role in the aetiology of the disease. For these reasons, revealing risk factors could be of very high importance in prevention and treatment of gout. In the present study, we found that a major role in gout predisposition is played by specific alleles in the ABCG2 gene. The study used survey data for 43 gout patients and 99 healthy control individuals who were geno-typed for rs2231142. It was found that allelic variant rs2231142 in the ABCG2 gene had the strongest association with gout. Among other co-factors studied, sex, and increased body mass index were associated with gout.

Risk Factor Analysis for Gout in the Latvian Population

Scientific Laboratory of Molecular Genetics

Department of Nephrology and Renal Replacement Therapy

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Risk Factor Analysis for Gout in the Latvian Population"}

Gout (Gr. podagra) is a multifactorial pathology, which means that both genetic and environmental factors play a role in the aetiology of the disease. For...

Risk Factor Analysis for Gout in the Latvian Population

Publié en ligne: 27 févr. 2020

Pages: 7 - 11

Reçu: 19 déc. 2018

Accepté: 01 janv. 2020

DOI: https://doi.org/10.2478/prolas-2020-0002

Mots clés
ABCG2,

© 2020 Erika Nagle et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Risk Factor Analysis for Gout in the Latvian Population

Publié en ligne: 27 févr. 2020

Pages: 7 - 11

Reçu: 19 déc. 2018

Accepté: 01 janv. 2020

DOI: https://doi.org/10.2478/prolas-2020-0002

Mots clésABCG2,

© 2020 Erika Nagle et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
ABCG2,