Mitochondrial diseases are frequently characterized by mitochondrial myopathy, encephalomyopathy, lactic acidosis, and stroke-like symptoms. Leading causes of mitochondrial diseases are mutations affecting the assembly of complex-I, which is located in the electron transport chain and is partially responsible for energy production during cellular respiration. Such mutations reduce the ability of complex-I to couple electron transfer to proton pumping, ATP production, and efficient energy production. The ND2 (mitochondrially encoded NADH dehydrogenase 2) gene encodes the production of the ND2 protein, a subunit of complex-I. In Drosophila melanogaster, the ND2del1 mutation is associated with signs of progressive neurodegeneration and paralysis, similar to the effects of mutations in human ND2. These behaviors are known as ‘bang sensitivity’, characterized by sudden paralysis after Drosophila are vigorously shaken in a test-tube (bang assay). The objective of our research was to understand how nuclear genetic variation present in a population can exacerbate or ameliorate the effects of the ND2 gene mutation. To model genetic variation in a large population, we used the Drosophila Genetic Reference Panel (DGRP). These consist of 200 fully sequenced, inbred lines derived from a genetically diverse wild population. We crossed males from 20 DGRP lines to ND2 females, collected their progeny at 21 days of age, and subjected the progeny to a bang assay. Our results demonstrated significant variation across differing genotypes (Kruskal Wallis: χ2 = 266.85, df = 21, P < 2.2e-16). These results point to significant epistatic interactions between nuclear and mitochondrial alleles for a mitochondrially encoded mutation associated with neurodegeneration. Previous studies have demonstrated links between neurodegenerative disease susceptibility, variable NAD+ concentrations, and complex-I dysfunction. Our unpublished research has identified correlations between the Drosophila metabolome and age-related disease phenotypes. As such, future research will test the hypothesis that variation among genotypes is associated with variable NAD and other metabolite profiles.