Acute myeloid leukemias (AMLs) are currently genomically characterized by karyotype, fluorescence in situ hybridization (FISH), real-time quantitative PCR, and DNA sequencing. Next-generation sequencing offers the promise of detecting all genomic lesions in a single run. However, technical limitations have hampered the detection of chromosomal rearrangements, so most studies are limited to somatic mutation assessment or require the use of RNA-based strategies. To overcome these limitations, we designed a targeted-DNA capture next-generation sequencing approach associated with easy-to-perform public bioinformatic tools for one-step identification of translocations, inversions, and somatic mutations in AML. Thirty well-characterized newly diagnosed myeloid leukemia patients (27 AML and 3 chronic myeloid leukemia) were tested with the panel. Twenty-three of 24 known rearrangements, as well as one novel fusion gene that could not be detected by karyotype/fluorescence in situ hybridization/real-time quantitative PCR, were detected. This strategy also identified all chromosomal breakpoints as potential targets for future high-sensitive minimal residual disease studies. In addition, mutation analysis revealed the presence of missense protein-coding alterations in at least 1 of the 32 genes evaluated in 21 of 30 patients (70%). This strategy may represent a time- and cost-effective diagnostic method for molecular characterization in AML.