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Abstract
As the prevalence of metabolic syndrome (MetS) in children and young adults is increasing, a better understanding of genetics that underlie MetS will provide critical insights into the origin of the disease. We examined associations of common genetic variants and repeated MetS score from early childhood to adolescence in a pan-European, prospective IDEFICS/I.Family cohort study with baseline survey and follow-up examinations after two and six years. We tested associations in 3067 children using a linear mixed model and confirmed the results with meta-analysis of identified SNPs. With a stringent Bonferroni adjustment for multiple comparisons we obtained significant associations(p < 1.4 × 10−4) for 5 SNPs, which were in high LD (r2 > 0.85) in the 16q12.2 non-coding intronic chromosomal region of FTO gene with strongest association observed for rs8050136 (effect size(β) = 0.31, pWald = 1.52 × 10−5). We also observed a strong association of rs708272 in CETP with increased HDL (p = 5.63 × 10−40) and decreased TRG (p = 9.60 × 10−5) levels. These findings along with meta-analysis advance etiologic understanding of childhood MetS, highlighting that genetic predisposition to MetS is largely driven by genes of obesity and lipid metabolism. Inclusion of the associated genetic variants in polygenic scores for MetS may prove to be fundamental for identifying children and subsequently adults of the high-risk group to allow earlier targeted interventions.
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1 Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany (GRID:grid.418465.a) (ISNI:0000 0000 9750 3253)
2 Mediterranea Cardiocentro, Napoli, Italy (GRID:grid.418465.a); EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy (GRID:grid.18147.3b) (ISNI:0000000121724807)
3 IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy (GRID:grid.419543.e) (ISNI:0000 0004 1760 3561)
4 Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582)
5 Department of Public Health and Primary Care, Ghent University, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
6 Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary (GRID:grid.9679.1) (ISNI:0000 0001 0663 9479)
7 GENUD (Growth, Exercise, Nutrition, and Development) Research Group, University of Zaragoza, Zaragoza, Spain (GRID:grid.11205.37) (ISNI:0000 0001 2152 8769)
8 Institute of Food Sciences, National Research Council, Avellino, Italy (GRID:grid.429574.9) (ISNI:0000 0004 1781 0819)
9 National Institute for Health Development, Tallinn, Estonia (GRID:grid.416712.7)
10 Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany (GRID:grid.418465.a) (ISNI:0000 0000 9750 3253); Institute of Statistics, Faculty of Mathematics and Computer Science, Bremen University, Bremen, Germany (GRID:grid.7704.4) (ISNI:0000 0001 2297 4381)