ArticleFrontiers in endocrinology2017
Mouse Models of Human GWAS Hits for Obesity and Diabetes in the Post Genomic Era: Time for Reevaluation.
Article in Frontiers in endocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Genetically Determined Loss-of-Function of the Organic Cation Transporter OCT1 Is Associated with Lower Liver Fat Content in Humans.International journal of molecular sciences · 2026Article
- Modelling the genetic aetiology of complex disease: human-mouse conservation of noncoding features and disease-associated loci.Biology letters · 2022Article
- Linking theScience advances · 2021Article
- Genome Editing Human Pluripotent Stem Cells to Model β-Cell Disease and Unmask Novel Genetic Modifiers.Frontiers in endocrinology · 2021Review
- Humanising the mouse genome piece by piece.Nature communications · 2019Review
- Transcriptional Regulation of Glucose Metabolism: The Emerging Role of the HMGA1 Chromatin Factor.Frontiers in endocrinology · 2018Review
- Can Diabetes Be Controlled by Lifestyle Activities?Current research in diabetes & obesity journal · 2017Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
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What OpenQuestion holds
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.