Background: In recent years, more and more evidence has accumulated to elucidate the modulating roles of microRNA in immune and inflammatory system. We conducted a novel positional omics integration study to identify microRNAs that could shed further light on the possible links between microRNAs, adipose tissue immunity/inflammation and obesity. Methods: In contrast to previous methodologies employed for integration of heterogeneous OMIC data, we based the integration on genomic positions of alterations in human disease and employed an additional weighing step. A data search for various types of studies on obesity (genome-wide association, meta-analysis, transcriptomic, proteomic studies and epigenetic studies) was conducted to establish the initial data set. Results and discussion: The analysis identified 19 high scoring microRNAs (miR-146, miR-378, miR-143, miR-145, miR-194, miR-1273, miR-190, miR-561, miR-151, miR-215, miR-196, miR-328, miR-208, miR-3155A, miR-933, miR-4685, miR-640, miR-4659, and miR-877). Five (miR-146, miR-378, miR-143, miR-145, and miR-194), which may be directly linked to adipose tissue inflammation or obesity-related diseases, eight other microRNAs (miR-1273, miR-190, miR-561, miR-151, miR-215, miR-196, miR-328, and miR-208) have been identified to play a role in cancer and myocardial infarction, where obesity is a defined risk factor. Conclusion: In this study, we applied a new method of positional integrational analysis of different OMIC-layers and utilized an additional validation step through weighing. Our study yields a number of plausible microRNAs that provide an interesting basis for further research to elucidate underlying mechanisms of obesity. Our detection of common microRNAs which are also related with an increased risk for inflammations, cardiovascular problems and type 2 diabetes, irrespectively of gender and age may provide a path for understanding the inherited or acquired impact of microRNAs on human health and wellbeing.