Now showing items 34-43 of 43

    • PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study 

      Schmidt, AF; Swerdlow, DI; Holmes, MV; Patel, RS; Fairhurst-Hunter, Z; Lyall, DM; Hartwig, FP et al. (Elsevier BV, 2017-02)
      BACKGROUND: Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest ...
    • Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions 

      Shungin, D; Deng, WQ; Varga, TV; Luan, Jian'an; Mihailov, E; Metspalu, A; GIANT Consortium, et al. (Public Library of Science (PLoS), 2017-06-14)
      Phenotypic variance heterogeneity across genotypes at a single nucleotide polymorphism (SNP) may reflect underlying gene-environment (G×E) or gene-gene interactions. We modeled variance heterogeneity for blood lipids and ...
    • Rare and low-frequency coding variants alter human adult height 

      Stirrups, Kathleen Elizabeth; Butterworth, Adam Stuart; Chowdhury, Rajiv; Danesh, John; Di, Angelantonio Emanuele; Howson, Joanna McCammond; Surendran, Praveen et al. (Nature Publishing Group, 2017-02-09)
      Height is a highly heritable, classic polygenic trait with ~700 common associated variants identified so far through genome-wide association studies. Here, we report 83 new height-associated coding variants with lower minor ...
    • Rare coding variants and X - linked loci associated with age at menarche 

      Lunetta, Kathryn L; Day, Felix Ranulf; Sulem, Patrick; Ruth, Katherine S; Tung, Joyce Y; Hinds, David A; Esko, Tõnu et al. (2015-08-04)
    • Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity 

      Hendricks, AE; Bochukova, EG; Marenne, G; Keogh, Julia Mary; Atanassova, N; Bounds, R; Wheeler, E et al.
      Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants ...
    • Replication and Characterization of Association between ABO SNPs and Red Blood Cell Traits by Meta-Analysis in Europeans 

      McLachlan, Stela; Giambartolomei, Claudia; White, Jon; Charoen, Pimphen; Wong, Andrew; Finan, Chris; Engmann, Jorgen et al. (2016-06-09)
    • 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 ...