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1.
Mol Psychiatry ; 17(11): 1116-29, 2012 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-21876539

RESUMO

Coffee consumption is a model for addictive behavior. We performed a meta-analysis of genome-wide association studies (GWASs) on coffee intake from 8 Caucasian cohorts (N=18 176) and sought replication of our top findings in a further 7929 individuals. We also performed a gene expression analysis treating different cell lines with caffeine. Genome-wide significant association was observed for two single-nucleotide polymorphisms (SNPs) in the 15q24 region. The two SNPs rs2470893 and rs2472297 (P-values=1.6 × 10(-11) and 2.7 × 10(-11)), which were also in strong linkage disequilibrium (r(2)=0.7) with each other, lie in the 23-kb long commonly shared 5' flanking region between CYP1A1 and CYP1A2 genes. CYP1A1 was found to be downregulated in lymphoblastoid cell lines treated with caffeine. CYP1A1 is known to metabolize polycyclic aromatic hydrocarbons, which are important constituents of coffee, whereas CYP1A2 is involved in the primary metabolism of caffeine. Significant evidence of association was also detected at rs382140 (P-value=3.9 × 10(-09)) near NRCAM-a gene implicated in vulnerability to addiction, and at another independent hit rs6495122 (P-value=7.1 × 10(-09))-an SNP associated with blood pressure-in the 15q24 region near the gene ULK3, in the meta-analysis of discovery and replication cohorts. Our results from GWASs and expression analysis also strongly implicate CAB39L in coffee drinking. Pathway analysis of differentially expressed genes revealed significantly enriched ubiquitin proteasome (P-value=2.2 × 10(-05)) and Parkinson's disease pathways (P-value=3.6 × 10(-05)).


Assuntos
Moléculas de Adesão Celular/genética , Café/genética , Citocromo P-450 CYP1A1/genética , Citocromo P-450 CYP1A2/genética , Ingestão de Líquidos/genética , Estudo de Associação Genômica Ampla/métodos , Antígenos de Neoplasias/genética , Proteínas Reguladoras de Apoptose/genética , Cafeína/farmacologia , Linhagem Celular , Feminino , Expressão Gênica/efeitos dos fármacos , Perfilação da Expressão Gênica/métodos , Predisposição Genética para Doença/genética , Humanos , Masculino , Doença de Parkinson/genética , Polimorfismo de Nucleotídeo Único , Proteínas Serina-Treonina Quinases/genética , População Branca/genética
2.
Diabetologia ; 49(4): 667-72, 2006 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-16465511

RESUMO

AIMS/HYPOTHESIS: The heritability of fasting glucose levels in Northern European populations has been examined previously in twins and samples of small pedigrees. In this study the heritability of fasting plasma glucose (FPG) was estimated in participants in the Erasmus Rucphen Family study, who were members of a single pedigree from a young genetic isolate. We also studied the relationship between FPG and components of the metabolic syndrome. METHODS: FPG, lipid, blood pressure and body composition measurements were completed for 852 participants without diabetic medication. The most significant predictors of FPG were used as covariates in heritability estimation. The sibship effect, which is a composite of genetic dominance and shared early-life environmental effects, was included as a random effect. RESULTS: The age- and sex-adjusted heritability of log normal-transformed FPG was 36.6%. When further adjusted for metabolic risk factors, namely body composition parameters, systolic blood pressure, triglycerides and cholesterol: HDL ratio, the heritability estimate rose to 42.8%. After adjustment for the sibship effect, the additive component of heritability was estimated to be 28.3% (age- and sex-adjusted) and 24.9% (full model). CONCLUSIONS/INTERPRETATION: Genes control a significant proportion of the variance in FPG levels. Adjustment for other metabolic risk factors did not substantially change the heritability estimate, which suggests that a large part of the variance in FPG levels is due to genes that act through pathways that are independent of those controlling body composition, blood pressure and lipid levels.


Assuntos
Glicemia/genética , Glicemia/metabolismo , Jejum/sangue , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Linhagem , Dinâmica Populacional , Caracteres Sexuais
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