Article
Identification of genetic elements in metabolism by high-throughput mouse phenotyping.
Nature communications - 18 Jan 2018
Rozman Jan, Rathkolb Birgit, Oestereicher Manuela A, Schütt Christine, Ravindranath Aakash Chavan, Leuchtenberger Stefanie, Sharma Sapna, Kistler Martin, Willershäuser Monja, Brommage Robert, Meehan Terrence F, Mason Jeremy, Haselimashhadi Hamed, Hough Tertius, Mallon Ann-Marie, Wells Sara, Santos Luis, Lelliott Christopher J, White Jacqueline K, Sorg Tania, Champy Marie-France, Bower Lynette R, Reynolds Corey L, Flenniken Ann M, Murray Stephen A, Nutter Lauryl M J, Svenson Karen L, West David, Tocchini-Valentini Glauco P, Beaudet Arthur L, Bosch Fatima, Braun Robert B, Dobbie Michael S, Gao Xiang, Herault Yann, Moshiri Ala, Moore Bret A, Kent Lloyd K C, McKerlie Colin, Masuya Hiroshi, Tanaka Nobuhiko, Flicek Paul, Parkinson Helen E, Sedlacek Radislav, Seong Je Kyung, Wang Chi-Kuang Leo, Moore Mark, Brown Steve D, Tschöp Matthias H, Wurst Wolfgang, Klingenspor Martin, Wolf Eckhard, Beckers Johannes, Machicao Fausto, Peter Andreas, Staiger Harald, Häring Hans-Ulrich, Grallert Harald, Campillos Monica, Maier Holger, Fuchs Helmut, Gailus-Durner Valerie, Werner Thomas, Hrabe de Angelis Martin
Abstract excerpt
Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974...
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