Identification of genetic elements in metabolism by high-throughput mouse phenotyping.
Nat Commun
; 9(1): 288, 2018 01 18.
Article
em En
| MEDLINE
| ID: mdl-29348434
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Consumo de Oxigênio
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Triglicerídeos
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Metabolismo Basal
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Glicemia
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Peso Corporal
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Diabetes Mellitus Tipo 2
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Obesidade
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Limite:
Animals
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Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article