SynthesisJournal of human genetics2023
Deciphering the genetic landscape of obesity: a data-driven approach to identifying plausible causal genes and therapeutic targets.
Synthesis in Journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Uncovering the Causal Link Between Obesity-Associated Genes and Multiple Sclerosis: A Systematic Literature Review.Brain and behavior · 2025Pooled it
- The novel adipokine Placin regulates glucose homeostasis via insulin secretion and IGF1 receptor signaling.Molecular therapy : the journal of the American Society of Gene Therapy · 2026Article
- Subtyping metabolic dysfunction-associated steatotic liver disease using electronic health record-linked genomic cohorts reveals diverse etiologies and progression.Nature communications · 2026Article
- Beyond One-Size-Fits-All: Individually Tailored Dietary Interventions in Modern Obesity Care.Nutrients · 2026Review
- From GWAS Signals to Molecular Mechanisms: Explainable AI for Causal Gene Prioritization and Biomolecular Target Interpretation.Biomolecules · 2026Review
- Association study uncovers obesity-linked variants in mobile elements as potential regulators of gene expression.iScience · 2026Article
- Management of Childhood Obesity.International journal of molecular sciences · 2026Review
- An integrative analysis of genetic factors reveals dysregulation of cytokines, immune signaling, and T cell activity as the underlying immune mechanisms in autoimmune immune thrombocytopenia.Thrombosis journal · 2026Article
- Neuronal GPR75 deficiency protects against diet-induced obesity in a humanized mouse model.Science advances · 2026Article
- Association between leptin gene polymorphisms and hematological metabolic parameters in obese Saudi adults.Frontiers in medicine · 2026Article
- Epigenetics of Childhood Obesity.Hormone research in paediatrics · 2026Review
- 14-3-3ζ allows for adipogenesis by modulating chromatin accessibility during the early stages of adipocyte differentiation.Molecular metabolism · 2025Article
- The Oncogenic Burden of Obesity: Mechanistic Links Between Adiposity and Gastrointestinal Cancers-A Comprehensive Narrative Review.Biomedicines · 2025Review
- Unraveling the Genetic Architecture of Obesity: A Path to Personalized Medicine.Diagnostics (Basel, Switzerland) · 2025Review
- Antiobesity Pharmacotherapy for Patients With Genetic Obesity Due to Defects in the Leptin-Melanocortin Pathway.Endocrine reviews · 2025Review
- Identification of a new genetic locus associated with atrial fibrillation in the Taiwanese population by genome-wide and transcriptome-wide association studies.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- The Human Energy Balance: Uncovering the Hidden Variables of Obesity.Diseases (Basel, Switzerland) · 2025Article
- Considerations on efforts needed to improve our understanding of the genetics of obesity.International journal of obesity (2005) · 2025Review
- Food Chain and Food Policies: Causes and Solutions for the Obesity Pandemic.Methodist DeBakey cardiovascular journal · 2025Review
- EndoCompass Project: Research Roadmap for Diabetes, Obesity, and Metabolism.Hormone research in paediatrics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGenome-wide association studies (GWAS) have successfully revealed numerous susceptibility loci for obesity. However, identifying the causal genes, pathways, and tissues/cell types responsible for these associations remains a challenge, and standardized analysis workflows are lacking. Additionally, due to limited treatment options for obesity, there is a need for the development of new pharmacological therapies. This study aimed to address these issues by performing step-wise utilization of knowledgebase for gene prioritization and assessing the potential relevance of key obesity genes as therapeutic targets. METHODS AND
resultsFirst, we generated a list of 28,787 obesity-associated SNPs from the publicly available GWAS dataset (approximately 800,000 individuals in the GIANT meta-analysis). Then, we prioritized 1372 genes with significant in silico evidence against genomic and transcriptomic data, including transcriptionally regulated genes in the brain from transcriptome-wide association studies. In further narrowing down the gene list, we selected key genes, which we found to be useful for the discovery of potential drug seeds as demonstrated in lipid GWAS separately. We thus identified 74 key genes for obesity, which are highly interconnected and enriched in several biological processes that contribute to obesity, including energy expenditure and homeostasis. Of 74 key genes, 37 had not been reported for the pathophysiology of obesity. Finally, by drug-gene interaction analysis, we detected 23 (of 74) key genes that are potential targets for 78 approved and marketed drugs.
conclusionsOur results provide valuable insights into new treatment options for obesity through a data-driven approach that integrates multiple up-to-date knowledgebases.
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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.