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1.
Hum Mol Genet ; 22(17): 3597-607, 2013 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-23669352

RESUMO

Genetic loci for body mass index (BMI) in adolescence and young adulthood, a period of high risk for weight gain, are understudied, yet may yield important insight into the etiology of obesity and early intervention. To identify novel genetic loci and examine the influence of known loci on BMI during this critical time period in late adolescence and early adulthood, we performed a two-stage meta-analysis using 14 genome-wide association studies in populations of European ancestry with data on BMI between ages 16 and 25 in up to 29 880 individuals. We identified seven independent loci (P < 5.0 × 10⁻8) near FTO (P = 3.72 × 10⁻²³), TMEM18 (P = 3.24 × 10⁻¹7), MC4R (P = 4.41 × 10⁻¹7), TNNI3K (P = 4.32 × 10⁻¹¹), SEC16B (P = 6.24 × 10⁻9), GNPDA2 (P = 1.11 × 10⁻8) and POMC (P = 4.94 × 10⁻8) as well as a potential secondary signal at the POMC locus (rs2118404, P = 2.4 × 10⁻5 after conditioning on the established single-nucleotide polymorphism at this locus) in adolescents and young adults. To evaluate the impact of the established genetic loci on BMI at these young ages, we examined differences between the effect sizes of 32 published BMI loci in European adult populations (aged 18-90) and those observed in our adolescent and young adult meta-analysis. Four loci (near PRKD1, TNNI3K, SEC16B and CADM2) had larger effects and one locus (near SH2B1) had a smaller effect on BMI during adolescence and young adulthood compared with older adults (P < 0.05). These results suggest that genetic loci for BMI can vary in their effects across the life course, underlying the importance of evaluating BMI at different ages.


Assuntos
Índice de Massa Corporal , Loci Gênicos , Aumento de Peso/genética , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Estudo de Associação Genômica Ampla , Humanos , Pessoa de Meia-Idade , Polimorfismo de Nucleotídeo Único , População Branca/genética , Adulto Jovem
2.
Atherosclerosis ; 255: 11-16, 2016 12.
Artigo em Inglês | MEDLINE | ID: mdl-27794213

RESUMO

BACKGROUND AND AIMS: We aimed to identify clusters of metabolic syndrome (MetS) components, risky for extremely high intima-media thickness. METHODS: We studied 41,513 volunteers (men and women) from eleven cohorts worldwide, participating in the MARE (Metabolic syndrome and Artery REsearch) Consortium. RESULTS: Specific clusters of MetS components - high triglycerides-high blood pressure-abdominal obesity (TBW), low HDL cholesterol-high blood pressure-abdominal obesity (HBW), high glucose-high blood pressure-abdominal obesity (GBW) - were accompanied by a 50-90% significantly greater likelihood of presenting extremely high intima-media thickness (via ultrasound of carotid artery, CCA IMT), after controlling for age, sex, smoking, non-HDL cholesterol, and presence of diabetes mellitus. This likelihood is comparable to the effect of being 7-8 years older or of being a cigarette smoker or of having non-HDL cholesterol 50 mg/dl higher. CONCLUSIONS: The consistent association of specific clusters of MetS components with extremely thick (older) large artery cross-culturally suggests that identification of those clusters in clinical practice will facilitate a personalized health care and a better - i.e. more healthy and cost-effective - prevention of major cardiovascular (CV) events.


Assuntos
Doenças das Artérias Carótidas/diagnóstico por imagem , Artéria Carótida Primitiva/diagnóstico por imagem , Espessura Intima-Media Carotídea , Síndrome Metabólica/diagnóstico por imagem , Remodelação Vascular , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Ásia/epidemiologia , Biomarcadores/sangue , Glicemia/análise , Doenças das Artérias Carótidas/epidemiologia , Doenças das Artérias Carótidas/patologia , Artéria Carótida Primitiva/patologia , Comorbidade , Europa (Continente)/epidemiologia , Feminino , Humanos , Lipídeos/sangue , Masculino , Síndrome Metabólica/sangue , Síndrome Metabólica/epidemiologia , Síndrome Metabólica/patologia , Pessoa de Meia-Idade , Obesidade Abdominal/diagnóstico , Obesidade Abdominal/epidemiologia , Valor Preditivo dos Testes , Prevalência , Medição de Risco , Fatores de Risco , Fumar/efeitos adversos , Fumar/epidemiologia , Fumar/patologia , Estados Unidos/epidemiologia
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