ArticleBiological psychiatry global open science2026
Exploring the Genetic Overlap Between Metabolic Traits and Anorexia Nervosa.
Article in Biological psychiatry global open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
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Who cites it
2 citing papers in PubMed.
- Anchoring Anorexia Nervosa Within Biological Psychiatry Through Metabolic Pathways.Biological psychiatry global open science · 2026Article
- Metabolic regulation of synaptic plasticity in anorexia nervosa.Frontiers in synaptic neuroscience · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Anorexia nervosa (AN) is an eating disorder with complex biology that remains largely uncharacterized. Recent genome-wide association studies have identified genetic associations between metabolic traits and AN that may relate to the underlying pathophysiology of the condition. Moreover, observational studies have identified evidence of dysregulated metabolic traits in AN, with emerging evidence suggesting that some of these findings are also observed in weight-restored individuals. While there is evidence for putative shared genetic factors linking metabolic traits and AN, the biology underpinning these genetic relationships has not been thoroughly investigated. Methods: To further explore shared genetic architecture between metabolic traits and AN with regional specificity, we investigated spatially localized genetic correlation and Bayesian colocalization between 6 metabolic traits (body mass index, high-density lipoprotein, leptin, fasting insulin, insulin resistance, and type 2 diabetes) ( Results: Significant local genetic correlation was identified across 60 regions, between genetic liability to AN and one of the 6 metabolic traits, after Benjamini-Hochberg correction. Three of these regions showed strong evidence of colocalization with a shared variant (posterior probability > 0.8), indicating potential functional mechanisms related to the trait associations for high-density lipoprotein and body mass index. Conclusions: Using evidence of local genetic correlation and colocalization, we found independent regions of the genome that may determine the genome-wide genetic correlation between metabolic traits and AN and identified specific shared genes which may assist with our mechanistic understanding of the inherent biological link between AN and metabolites.
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Registered trials
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