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Identification of genetic elements in metabolism by high-throughput mouse phenotyping
- Source :
- Nature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
- Publication Year :
- 2018
- Publisher :
- Nature Portfolio, 2018.
-
Abstract
- The genetic basis of metabolic diseases is incompletely understood. Here, by high-throughput phenotyping of 2,016 knockout mouse strains, Rozman and colleagues identify candidate metabolic genes, many of which are associated with unexplored regulatory gene networks and metabolic traits in human GWAS.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 9
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7b0bd2741d2c4a34a03d78a177e5cce3
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-017-01995-2