ArticleNature communications2018
Identification of genetic elements in metabolism by high-throughput mouse phenotyping.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 71 citations in OpenAlex.
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- Large-scale mouse mutagenesis identifies novel genes affecting vertebral anatomy.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Quantitative dissection of sexual dimorphism in mice through Y-linked gene knockouts and multivariate phenotyping.Scientific reports · 2026Article
- GWAS-based polygenic profiling across broad sport categories: shared and category-specific genetic associations with athlete status and polygenic differences from population controls.Frontiers in sports and active living · 2026Article
- ODBAE: a high-performance model identifying complex phenotypes in high-dimensional biological datasets.Communications biology · 2025Article
- Investigating the genetic imprint of long body length, high lean meat rate, high fertility and long gestation period in Danish Landrace pigs.BMC genomics · 2025Article
- A consensus guide to preclinical indirect calorimetry experiments.Nature metabolism · 2025Review
- Identifying genetic determinants of outer retinal function in mice using a large-scale gene-targeted screen.PLoS genetics · 2025Article
- IMPC impact on preclinical mouse models.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Commentary: The International Mouse Phenotyping Consortium: high-throughput in vivo functional annotation of the mammalian genome.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- The mouse metabolic phenotyping center (MMPC) live consortium: an NIH resource for in vivo characterization of mouse models of diabetes and obesity.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Review
- Insights into energy balance dysregulation from a mouse model of methylmalonic aciduria.Human molecular genetics · 2023Article
- A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease.Nucleic acids research · 2023Article
- Multivariate phenotype analysis enables genome-wide inference of mammalian gene function.PLoS biology · 2022Article
- Sfrp4 and the Biology of Cortical Bone.Current osteoporosis reports · 2022Review
- Progress towards completing the mutant mouse null resource.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Article
- Asian Mouse Mutagenesis Resource Association (AMMRA): mouse genetics and laboratory animal resources in the Asia Pacific.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Review
- Metabolic effects of the schizophrenia-associated 3q29 deletion.Translational psychiatry · 2022Article
Corrections and comments
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Authors and funding
65 authors at 20 institutions in 15 countries.
Funding
Abstract
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 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.