Now showing items 4-11 of 11

    • Definitions of metabolic health and risk of future type 2 diabetes in body mass index categories: a systematic review and network meta-analysis 

      Lotta, Luca A.; Abbasi, Ali; Sharp, Stephen J.; Sahlqvist, Anna-Stina; Waterworth, Dawn; Brosnan, Julia M.; Scott, Robert A. et al. (2015-08-18)
      Objective: Various definitions of metabolic health have been proposed to explain differences in the risk of type 2 diabetes within body mass index (BMI) categories. The goal of this study was to assess their predictive ...
    • Dietary Intakes of Individual Flavanols and Flavonols Are Inversely Associated with Incident Type 2 Diabetes in European Populations 

      Zamora-Ros, Raul; Forouhi, Nita G.; Sharp, Stephen J.; Gonzalez, Carlos A.; Buijsse, Brian; Guevara, Marcela; van der Schouw, Yvonne T. et al. (The American Society for Nutrition, 2013-12-24)
      Dietary flavanols and flavonols, flavonoid subclasses, have been recently associated with a lower risk of type 2 diabetes (T2D) in Europe. Even within the same subclass, flavonoids may differ considerably in bioavailability ...
    • Evidence of a causal association between insulinemia and endometrial cancer: A Mendelian randomization analysis 

      Nead, Kevin T.; Sharp, Stephen J.; Thompson, Deborah J.; Painter, Jodie N.; Savage, David B.; Semple, Robert K.; Barker, Adam et al. (Oxford University Press, 2015)
      Background: Insulinemia and type 2 diabetes (T2D) have been associated with endometrial cancer risk in numerous observational studies. However, the causality of these associations is uncertain. Here we use a Mendelian ...
    • Genetic markers of insulin sensitivity and insulin secretion are associated with spontaneous postnatal growth and response to growth hormone treatment in short SGA children: the North European SGA Study (NESGAS) 

      Jensen, Rikke Beck; Thankamony, Ajay; Day, Felix; Scott, Robert A.; Langenberg, Claudia; Kirk, Jeremy; Donaldson, Malcolm et al. (Endocrine Society, 2014-12-12)
      Purpose: The wide heterogeneity in the early growth and metabolism of children born small for gestational age (SGA), both before and during growth hormone (GH) therapy, may reflect common genetic variations related to ...
    • Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels 

      Kilpeläinen, Tuomas O.; Carli, Jayne F. Martin; Skowronski, Alicja A.; Sun, Qi; Kriebel, Jennifer; Feitosa, Mary F.; Hedman, Åsa K. et al. (Nature Publishing Group, 2016-02-01)
      Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe ...
    • Low-frequency and rare exome chip variants associate with fasting ​glucose and type 2 diabetes susceptibility 

      Wessel, Jennifer; Chu, Audrey Y.; Willems, Sara M.; Wang, Shuai; Yaghootkar, Hanieh; Brody, Jennifer A.; Dauriz, Marco et al. (Nature Publishing Group, 2015-01-29)
      Fasting ​glucose and ​insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals ...
    • MTNR1B rs10830963 is associated with fasting plasma glucose, HbA1C and impaired beta-cell function in Chinese Hans from Shanghai 

      Liu, Chen; Wu, Ying; Li, Huaixing; Qi, Qibin; Langenberg, Claudia; Loos, Ruth J. F.; Lin, Xu (2010-04-14)
      Abstract Background Genome-wide association studies (GWAS) in White Europeans have shown that genetic variation rs10830963 in melatonin receptor 1B gene (MTNR1B) is associated with fasting glucose and type 2 diabetes, which ...
    • Rare coding variants and X - linked loci associated with age at menarche 

      Lunetta, Kathryn L.; Day, Felix; Sulem, Patrick; Ruth, Katherine S.; Tung, Joyce Y.; Hinds, David A.; Esko, Tõnu et al. (NPG, 2015-08-04)
      More than 100 loci have been identified for age at menarche by genome-wide association studies; however, collectively these explain only ~3% of the trait variance. Here we test two overlooked sources of variation in 192,974 ...