Identification of genetic elements in metabolism by high-throughput mouse phenotyping

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773596/
https://www.ncbi.nlm.nih.gov/pubmed/29348434
http://dx.doi.org/10.1038/s41467-017-01995-2

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