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The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits
Authors:Benjamin F Voight  Hyun Min Kang  Jun Ding  Cameron D Palmer  Carlo Sidore  Peter S Chines  Noël P Burtt  Christian Fuchsberger  Yanming Li  Jeanette Erdmann  Timothy M Frayling  Iris M Heid  Anne U Jackson  Toby Johnson  Tuomas O Kilpeläinen  Cecilia M Lindgren  Andrew P Morris  Inga Prokopenko  Joshua C Randall  Richa Saxena  Nicole Soranzo  Elizabeth K Speliotes  Tanya M Teslovich  Eleanor Wheeler  Jared Maguire  Melissa Parkin  Simon Potter  N William Rayner  Neil Robertson  Kathleen Stirrups  Wendy Winckler  Serena Sanna  Antonella Mulas  Ramaiah Nagaraja  Francesco Cucca  Inês Barroso  Panos Deloukas  Ruth J F Loos
Affiliation:Medical Population Genetics, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Abstract: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 "Metabochip," a custom genotyping array that assays nearly 200,000 SNP markers. Here, we describe the Metabochip and its component SNP sets, evaluate its performance in capturing variation across the allele-frequency spectrum, describe solutions to methodological challenges commonly encountered in its analysis, and evaluate its performance as a platform for genotype imputation. The metabochip achieves dramatic cost efficiencies compared to designing single-trait follow-up reagents, and provides the opportunity to compare results across a range of related traits. The metabochip and similar custom genotyping arrays offer a powerful and cost-effective approach to follow-up large-scale genotyping and sequencing studies and advance our understanding of the genetic basis of complex human diseases and traits.
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