{"title":"Exploring the Genetic Overlap Between Metabolic Traits and Anorexia Nervosa","authors":"Danielle M. Adams , Murray J. Cairns","doi":"10.1016/j.bpsgos.2025.100678","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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) (<em>n</em> = 30,931–659,316) and AN (<em>n</em> = 72,517).</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"6 2","pages":"Article 100678"},"PeriodicalIF":4.0000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological psychiatry global open science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667174325002320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
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) (n = 30,931–659,316) and AN (n = 72,517).
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.