running head: Strain-dependent binge eating keywords (5-6): food seeking, GWAS, hoarding, QTL, sex differences, sucrose peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/190827 doi: bioRxiv preprint first posted online Sep. 19, 2017; 2 ABSTRACT Binge eating (BE) is a heritable symptom of eating disorders that carries significant health costs, including anxiety and depression, malnutrition, and sometimes obesity. The only FDA-approved drug for BE is an amphetamine-like stimulant; thus, the development of new therapeutics is critical for improving treatment outcome and minimizing side effects for patients. Genome-wide analysis of BE could lead to safer and more efficacious therapeutics. Here, we used our intermittent, limited access paradigm to examine strain differences in BE of palatable food, conditioned food reward, and compulsive-like eating between C57BL/6J (B6J) and DBA/2J (D2J) inbred mouse strains. We identified a robust strain difference in BE, with D2J showing escalation in consumption relative to B6J. Furthermore, D2J, but not B6J, showed a conditioned place preference for the food-paired side. D2J also showed compulsive-like eating in an anxietyprovoking environment, while simultaneously showing avoidance of the environment. Slope analysis of consumption in B6JxD2J F1-mice indicated different modes of inheritance for acute versus escalated food intake, suggesting different genetic factors underlying distinct components of BE. Heritability estimates of BE and compulsive-like eating were 56 and 73 percent, indicating that these traits are amenable to quantitative trait locus mapping. Finally, mice carrying one copy of a deletion in the first coding exon of Hnrnph1, a gene important for methamphetamine sensitivity, showed increased food consumption that was driven primarily by females. To summarize, we established a genetic model of BE and concomitant behaviors that will be useful in a systems genetics approach to understand BE. peer-reviewed)