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
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Scopus
Cited By
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
GENOME-WIDE ASSOCIATION; CORONARY-ARTERY-DISEASE; QT INTERVAL DURATION; COMMON VARIANTS; SUSCEPTIBILITY LOCI; IDENTIFIES 13; HUMAN HEIGHT; RISK; METAANALYSIS; POPULATION
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2012
Prepublished im Jahr
HGF-Berichtsjahr
2012
ISSN (print) / ISBN
1553-7390
e-ISSN
1553-7404
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 8,
Heft: 8,
Seiten: ,
Artikelnummer: e1002793
Supplement: ,
Reihe
Verlag
Public Library of Science (PLoS)
Verlagsort
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-500700-001
G-504100-001
Förderungen
Copyright
Erfassungsdatum
2012-10-26