Voight, B.F.* ; Kang, H.M.* ; Ding, J.* ; Palmer, C.D.* ; Sidore, C.* ; Chines, P.S.* ; Burtt, N.P.* ; Fuchsberger, C.* ; Li, Y.M.* ; Erdmann, J.* ; Frayling, T.M.* ; Heid, I.M. ; Jackson, A.U.* ; Johnson, T.* ; Kilpeläinen, T.O.* ; Lindgren, C.M.* ; Morris, A.P.* ; Prokopenko, I.* ; Randall, J.C.* ; Saxena, R.* ; Soranzo, N.* ; Speliotes, E.K.* ; Teslovich, T.M.* ; Wheeler, E.* ; Maguire, J.* ; Parkin, M.* ; Potter, S.* ; Rayner, N.W.* ; Robertson, N.* ; Stirrups, K.* ; Winckler, W.* ; Sanna, S.* ; Mulas, A.* ; Nagaraja, R.* ; Cucca, F.* ; Barroso, I.* ; Deloukas, P.* ; Loos, R.J.F.* ; Kathiresan, S.* ; Munroe, P.B.* ; Newton-Cheh, C.* ; Pfeufer, A. ; Samani, N.J.* ; Schunkert, H.* ; Hirschhorn, J.N.* ; Altshuler, D.* ; McCarthy, M.I.* ; Abecasis, G.R.* ; Boehnke, M.*
The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits.
PLoS Genet. 8:e1002793 (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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publication type
Article: Journal article
Document type
Scientific Article
Thesis type
Editors
Keywords
GENOME-WIDE ASSOCIATION; CORONARY-ARTERY-DISEASE; QT INTERVAL DURATION; COMMON VARIANTS; SUSCEPTIBILITY LOCI; IDENTIFIES 13; HUMAN HEIGHT; RISK; METAANALYSIS; POPULATION
Keywords plus
Language
english
Publication Year
2012
Prepublished in Year
HGF-reported in Year
2012
ISSN (print) / ISBN
1553-7390
e-ISSN
1553-7404
ISBN
Book Volume Title
Conference Title
Conference Date
Conference Location
Proceedings Title
Quellenangaben
Volume: 8,
Issue: 8,
Pages: ,
Article Number: e1002793
Supplement: ,
Series
Publisher
Public Library of Science (PLoS)
Publishing Place
Day of Oral Examination
0000-00-00
Advisor
Referee
Examiner
Topic
University
University place
Faculty
Publication date
0000-00-00
Application date
0000-00-00
Patent owner
Further owners
Application country
Patent priority
Reviewing status
Peer reviewed
POF-Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-500700-001
G-504100-001
Grants
Copyright
Erfassungsdatum
2012-10-26