Now showing items 40-43 of 43

    • A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature 

      Abbasi, Ali; Sahlqvist, A-S; Lotta, Luca Andrea; Brosnan, JM; Vollenweider, P; Giabbanelli, Philippe Joseph; Nunez, DJ et al. (PLOS, 2016-10-27)
      $\textbf{BACKGROUND}$ Blood-based or urinary biomarkers may play a role in quantifying the future risk of type 2 diabetes (T2D) and in understanding possible aetiological pathways to disease. However, no systematic review ...
    • Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension 

      Surendran, Praveen; Drenos, Fotios; Young, Robin; Warren, Helen; Cook, James P; Manning, Alisa K; Grarup, Niels et al. (2016-09-12)
    • Type 2 diabetes, glucose, insulin, BMI, and ischemic stroke subtypes: Mendelian randomization study 

      Larsson, SC; Scott, RA; Traylor, M; Langenberg, Claudia; Hindy, G; Melander, O; Orho-Melander, M et al. (Wolters Kluwer, 2017-08-01)
      $\textbf{Objective:}$ To implement a mendelian randomization (MR) approach to determine whether type 2 diabetes mellitus (T2D), fasting glucose, fasting insulin, and body mass index (BMI) are causally associated with ...
    • Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits 

      Tachmazidou, I; Süveges, D; Min, JL; Ritchie, GRS; Steinberg, J; Walter, K; Iotchkova, V et al. (Elsevier (Cell Press), 2017-06-01)
      Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole-genome ...