1,721,232 research outputs found
The distribution of sociodemographic and dietary factors at baseline by future case and noncase status: EPIC-InterAct study.
No full textThe distribution of sociodemographic and dietary factors at baseline by future case and noncase status: EPIC-InterAct study.</p
Designs of the MedLey trial and the EPIC-InterAct case-cohort study and numbers of participants included in the analysis.
No full textDesigns of the MedLey trial and the EPIC-InterAct case-cohort study and numbers of participants included in the analysis.</p
Associations of the systolic blood pressure genetic score with quantitative traits in the EPIC-InterAct study.
No full text<p>This figure shows the investigation of pleiotropic associations of genetic score for SBP with quantitative traits in the EPIC-InterAct study [<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001841#pmed.1001841.ref026" target="_blank">26</a>]. Effect sizes are expressed in SDs per SBP-raising allele. Analyses were adjusted for age, sex, center of recruitment, and subcohort status.</p
Metadata record for: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
No full textThis dataset contains key characteristics about the data described in the Data Descriptor Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON forma
Metadata record for: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
No full textThis dataset contains key characteristics about the data described in the Data Descriptor Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON forma
Associations of the systolic blood pressure genetic score with binary outcomes in the EPIC-InterAct study.
No full text<p>This figure shows the investigation of pleiotropic associations of the genetic score for SBP with binary outcomes in the EPIC-InterAct study [<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001841#pmed.1001841.ref026" target="_blank">26</a>]. The OR per SBP-raising allele is shown.</p
Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis.
No full textFruit and vegetable intake (FVI) may reduce the risk of type 2 diabetes (T2D), but the epidemiological evidence is inconclusive. The aim of this study is to examine the prospective association of FVI with T2D and conduct an updated meta-analysis. In the European Prospective Investigation into Cancer-InterAct (EPIC-InterAct) prospective case-cohort study nested within eight European countries, a representative sample of 16,154 participants and 12,403 incident cases of T2D were identified from 340,234 individuals with 3.99 million person-years of follow-up. For the meta-analysis we identified prospective studies on FVI and T2D risk by systematic searches of MEDLINE and EMBASE until April 2011. In EPIC-InterAct, estimated FVI by dietary questionnaires varied more than twofold between countries. In adjusted analyses the hazard ratio (95% confidence interval) comparing the highest with lowest quartile of reported intake was 0.90 (0.80-1.01) for FVI; 0.89 (0.76-1.04) for fruit and 0.94 (0.84-1.05) for vegetables. Among FV subtypes, only root vegetables were inversely associated with diabetes 0.87 (0.77-0.99). In meta-analysis using pooled data from five studies including EPIC-InterAct, comparing the highest with lowest category for FVI was associated with a lower relative risk of diabetes (0.93 (0.87-1.00)). Fruit or vegetables separately were not associated with diabetes. Among FV subtypes, only green leafy vegetable (GLV) intake (relative risk: 0.84 (0.74-0.94)) was inversely associated with diabetes. Subtypes of vegetables, such as root vegetables or GLVs may be beneficial for the prevention of diabetes, while total FVI may exert a weaker overall effect
Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis
No full textFruit and vegetable intake (FVI) may reduce the risk of type 2 diabetes (T2D), but the epidemiological evidence is inconclusive. The aim of this study is to examine the prospective association of FVI with T2D and conduct an updated meta-analysis. In the European Prospective Investigation into Cancer-InterAct (EPIC-InterAct) prospective case–cohort study nested within eight European countries, a representative sample of 16¿154 participants and 12¿403 incident cases of T2D were identified from 340¿234 individuals with 3.99 million person-years of follow-up. For the meta-analysis we identified prospective studies on FVI and T2D risk by systematic searches of MEDLINE and EMBASE until April 2011. In EPIC-InterAct, estimated FVI by dietary questionnaires varied more than twofold between countries. In adjusted analyses the hazard ratio (95% confidence interval) comparing the highest with lowest quartile of reported intake was 0.90 (0.80–1.01) for FVI; 0.89 (0.76–1.04) for fruit and 0.94 (0.84–1.05) for vegetables. Among FV subtypes, only root vegetables were inversely associated with diabetes 0.87 (0.77–0.99). In meta-analysis using pooled data from five studies including EPIC-InterAct, comparing the highest with lowest category for FVI was associated with a lower relative risk of diabetes (0.93 (0.87–1.00)). Fruit or vegetables separately were not associated with diabetes. Among FV subtypes, only green leafy vegetable (GLV) intake (relative risk: 0.84 (0.74–0.94)) was inversely associated with diabetes. Subtypes of vegetables, such as root vegetables or GLVs may be beneficial for the prevention of diabetes, while total FVI may exert a weaker overall effec
Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length
No full textLeukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) 350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease
Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
No full textType 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D
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