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DOI: 10.1371/journal.pgen.1002793
¤ OpenAccess: Gold
This work has “Gold” OA status. This means it is published in an Open Access journal that is indexed by the DOAJ.

The Metabochip, a Custom Genotyping Array for Genetic Studies of Metabolic, Cardiovascular, and Anthropometric Traits

Benjamin F. Voight,Hyun Min Kang,Jinhui Ding,Cameron D. Palmer,Carlo Sidore,Peter S. Chines,Noël P. Burtt,Christian Fuchsberger,Y Li,Jeanette Erdmann,Timothy M. Frayling,Iris M. Heid,Anne 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,Nigel W. Rayner,Neil Robertson,Kathleen Stirrups,Wendy Winckler,Serena Sanna,Antonella Mulas,Ramaiah Nagaraja,Francesco Cucca,Inês Barroso,Panos Deloukas,Ruth J.F. Loos,Sekar Kathiresan,Patricia B. Munroe,Christopher Newton‐Cheh,Arne Pfeufer,Nilesh J. Samani,Heribert Schunkert,Joel N. Hirschhorn,David Altshuler,Mark I. McCarthy,Gonçalo R. Abecasis,Michael Boehnke

Biology
Genotyping
Genome-wide association study
2012
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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    The Metabochip, a Custom Genotyping Array for Genetic Studies of Metabolic, Cardiovascular, and Anthropometric Traits” is a paper by Benjamin F. Voight Hyun Min Kang Jinhui Ding Cameron D. Palmer Carlo Sidore Peter S. Chines Noël P. Burtt Christian Fuchsberger Y Li Jeanette Erdmann Timothy M. Frayling Iris M. Heid Anne 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 Nigel W. Rayner Neil Robertson Kathleen Stirrups Wendy Winckler Serena Sanna Antonella Mulas Ramaiah Nagaraja Francesco Cucca Inês Barroso Panos Deloukas Ruth J.F. Loos Sekar Kathiresan Patricia B. Munroe Christopher Newton‐Cheh Arne Pfeufer Nilesh J. Samani Heribert Schunkert Joel N. Hirschhorn David Altshuler Mark I. McCarthy Gonçalo R. Abecasis Michael Boehnke published in 2012. It has an Open Access status of “gold”. You can read and download a PDF Full Text of this paper here.