Ontology highlight
ABSTRACT:
SUBMITTER: Voight BF
PROVIDER: S-EPMC3410907 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Voight Benjamin F BF Kang Hyun Min HM Ding Jun J Palmer Cameron D CD Sidore Carlo C Chines Peter S PS Burtt Noël P NP Fuchsberger Christian C Li Yanming Y Erdmann Jeanette J Frayling Timothy M TM Heid Iris M IM Jackson Anne U AU Johnson Toby T Kilpeläinen Tuomas O TO Lindgren Cecilia M CM Morris Andrew P AP Prokopenko Inga I Randall Joshua C JC Saxena Richa R Soranzo Nicole N Speliotes Elizabeth K EK Teslovich Tanya M TM Wheeler Eleanor E Maguire Jared J Parkin Melissa M Potter Simon S Rayner N William NW Robertson Neil N Stirrups Kathleen K Winckler Wendy W Sanna Serena S Mulas Antonella A Nagaraja Ramaiah R Cucca Francesco F Barroso Inês I Deloukas Panos P Loos Ruth J F RJ Kathiresan Sekar S Munroe Patricia B PB Newton-Cheh Christopher C Pfeufer Arne A Samani Nilesh J NJ Schunkert Heribert H Hirschhorn Joel N JN Altshuler David D McCarthy Mark I MI Abecasis Gonçalo R GR Boehnke Michael M
PLoS genetics 20120802 8
Genome-wide association studies have identified hundreds of loci for type 2 diabetes, coronary artery disease and myocardial infarction, as well as for related traits such as body mass index, glucose and insulin levels, lipid levels, and blood pressure. These studies also have pointed to thousands of loci with promising but not yet compelling association evidence. To establish association at additional loci and to characterize the genome-wide significant loci by fine-mapping, we designed the "Me ...[more]