ArticleNature genetics2023
Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism.
Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed, 36 citations in OpenAlex.
- Article
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- Sex-stratified insights into the genetics of brain volumes in late adulthood.Biology of sex differences · 2026Article
- Rethinking crossover and recovery in eating disorders through a dynamic and value-sensitive framework.Medicine, health care, and philosophy · 2026Article
- An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity.Briefings in bioinformatics · 2026Article
- Genomics of drug target prioritization for complex diseases.Nature reviews. Genetics · 2026Review
- Phecoder: semantic retrieval for auditing and expanding ICD-based phenotypes in EHR biobanks.medRxiv : the preprint server for health sciences · 2026Article
- Genomic meta-analyses of binge-eating behavior and anorexia nervosa yield insights into the unique and shared biology of eating disorder phenotypes.Nature. Mental health · 2026Article
- Externalizing as a common genetic influence for a broad spectrum of substance use and behavioral conditions: A developmental perspective from the Avon Longitudinal Study of Parents and Children.Addiction (Abingdon, England) · 2025Article
- Shared genetic architecture between anxiety, depression and erectile dysfunction: a genome-wide cross-trait analysis.Translational andrology and urology · 2025Article
- Examining the biological causes of eating disorders to inform treatment strategies.Nature reviews. Neuroscience · 2025Review
- Genetic analyses of eight complex diseases using predicted continuous representations of disease.Cell reports methods · 2025Article
- Shared genetic architecture between eating disorders, mental health conditions, and cardiometabolic diseases: a comprehensive population-wide study across two countries.Nature communications · 2025Article
- [Binge Eating Disorder-State of the art].Der Nervenarzt · 2025Review
- Cross-Sensitization between Binge Eating and Binge Drinking in a Novel C57BL/6NJ Murine Model of Disease Comorbidity Requires PDE4B Activation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Treating the individual: moving towards personalised eating disorder care.Journal of eating disorders · 2025Review
- Transdiagnostic Polygenic Risk Models for Psychopathology and Comorbidity: Cross-Ancestry Analysis in themedRxiv : the preprint server for health sciences · 2025Article
- Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.Genome biology · 2025Article
- Neuropsychiatric polygenic scores are weak predictors of professional categories.Nature human behaviour · 2025Article
- Modeling diagnostic code dropout of schizophrenia in electronic health records improves phenotypic data quality and cross-ancestry transferability of polygenic scores.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
Binge eating disorder (BED) is the most common eating disorder, yet its genetic architecture remains largely unknown. Studying BED is challenging because it is often comorbid with obesity, a common and highly polygenic trait, and it is underdiagnosed in biobank data sets. To address this limitation, we apply a supervised machine-learning approach (using 822 cases of individuals diagnosed with BED) to estimate the probability of each individual having BED based on electronic medical records from the Million Veteran Program. We perform a genome-wide association study of individuals of African (n = 77,574) and European (n = 285,138) ancestry while controlling for body mass index to identify three independent loci near the HFE, MCHR2 and LRP11 genes and suggest APOE as a risk gene for BED. We identify shared heritability between BED and several neuropsychiatric traits, and implicate iron metabolism in the pathophysiology of BED. Overall, our findings provide insights into the genetics underlying BED and suggest directions for future translational research.
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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.