Association of Obesity Susceptibility Gene Variants with Metabolic Syndrome and Related Traits in 1,443 Czech Adolescents Cited by

Fol. Biol. 2013, 59, 123-133

https://doi.org/10.14712/fb2013059030123

Association of Obesity Susceptibility Gene Variants with Metabolic Syndrome and Related Traits in 1,443 Czech Adolescents

Lenka Dušátková^1,2, H. Zamrazilová², B. Sedláčková^2,3, J. Včelák⁴, P. Hlavatý², I. Aldhoon Hainerová^2,5, V. Korenková⁶, O. Bradnová^4,7, B. Bendlová⁴, M. Kunešová², V. Hainer²

¹Department of Genetics and Microbiology, Faculty of Science, Charles University in Prague, Prague, Czech Republic
²Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic
³Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, Czech Republic
⁴Department of Molecular Endocrinology, Institute of Endocrinology, Prague, Czech Republic
⁵Department of Paediatrics and Centre for Research of Diabetes, Metabolism and Nutrition, Third Faculty of Medicine, Charles University in Prague, Czech Republic
⁶Laboratory of Gene Expression, Institute of Biotechnology AS CR, v. v. i., Prague, Czech Republic
⁷Department of Anthropology and Human Genetics, Faculty of Science, Charles University in Prague, Prague, Czech Republic

Received January 2013
Accepted February 2013

Crossref Cited-by Linking

Eghbali Maryam, Mottaghi Azadeh, Taghizadeh Sara, Cheraghi Sara: Genetic Variants in the Fat Mass and Obesity\u2010Associated Gene and Risk of Obesity/Overweight in Children and Adolescents: A Systematic Review and Meta\u2010Analysis. Endocrino Diabet & Metabol 2024, 7. <https://doi.org/10.1002/edm2.510>
Sharma Tanmayi, Badaruddoza Badaruddoza: Association of leptin\u2013melanocortin gene polymorphisms with the risk of obesity in northwest Indian population. Egypt J Med Hum Genet 2024, 25. <https://doi.org/10.1186/s43042-024-00529-y>
Bhatti Adil Anwar, Rana Sobia: Association of genetic variants and behavioral factors with the risk of metabolic syndrome in Pakistanis. Biologia 2022, 77, 829. <https://doi.org/10.1007/s11756-021-00983-8>
Khodarahmi Mahdieh, Siri Goli, Mohammadi Mohaddeseh, Farhangi Mahdieh Abbasalizad, Aleseidi Samira, Tan Sijie: The Role of Dietary Glycemic Index and Glycemic Load in Mediating Genetic Susceptibility via MC4R s17782313 Genotypes to Affect Cardiometabolic Risk Factors among Apparently Healthy Obese Individuals. BioMed Research International 2022, 2022, 1. <https://doi.org/10.1155/2022/3044545>
Marcos-Pasero Helena, Aguilar-Aguilar Elena, de la Iglesia Rocío, Espinosa-Salinas Isabel, Molina Susana, Colmenarejo Gonzalo, Martínez J. Alfredo, Ramírez de Molina Ana, Reglero Guillermo, Loria-Kohen Viviana: \u201cGENYAL\u201d Study to Childhood Obesity Prevention: Methodology and Preliminary Results. Front. Nutr. 2022, 9. <https://doi.org/10.3389/fnut.2022.777384>
Hajhashemy Zahra, Lotfi Keyhan, Shahdadian Farnaz, Rouhani Parisa, Heidari Zahra, Saneei Parvane: Dietary insulin index and insulin load in relation to hypertriglyceridemic waist phenotype and low brain derived neurotrophic factor in adults. Front. Nutr. 2022, 9. <https://doi.org/10.3389/fnut.2022.980274>
Koj Natalia, Grochowalski \u0141ukasz, Jarczak Justyna, Wójtowicz Weronika, Sobalska-Kwapis Marta, S\u0142omka Marcin, Marciniak B\u0142a\u017cej, Strapagiel Dominik: The association between polymorphisms near TMEM18 and the risk of obesity: a meta-analysis. BMC Med Genomics 2021, 14. <https://doi.org/10.1186/s12920-021-01025-7>
Forcada Yaiza, Boursnell Mike, Catchpole Brian, Church David B., Clegg Simon: A genome-wide association study identifies novel candidate genes for susceptibility to diabetes mellitus in non-obese cats. PLoS ONE 2021, 16, e0259939. <https://doi.org/10.1371/journal.pone.0259939>
Pavlovska Iuliia, Polcrova Anna, Mechanick Jeffrey I., Bro\u017e Jan, Infante-Garcia Maria M., Nieto-Martínez Ramfis, Maranhao Neto Geraldo A., Kunzova Sarka, Skladana Maria, Novotny Jan S., Pikhart Hynek, Urbanová Jana, Stokin Gorazd B., Medina-Inojosa Jose R., Vysoky Robert, González-Rivas Juan P.: Dysglycemia and Abnormal Adiposity Drivers of Cardiometabolic-Based Chronic Disease in the Czech Population: Biological, Behavioral, and Cultural/Social Determinants of Health. Nutrients 2021, 13, 2338. <https://doi.org/10.3390/nu13072338>
Hubá\u010dek Jaroslav A., Pikhart H., Peasey A., Kubínová R., Bobák M.: Nobody Is Perfect: Comparison of the Accuracy of PCR-RFLP and KASP\u2122 Method for Genotyping. ADH1B and FTO Polymorphisms as Examples. Fol. Biol. 2015, 61, 156. <https://doi.org/10.14712/fb2015061040156>