Background:Asthma, type 2 diabetes (T2D), and anthropometric measures are correlated complex traits that all have a major genetic component.Objective:To investigate the overlap in genetic variants associated with these complex traits.Methods:Using United Kingdom Biobank data, we performed univariate association analysis, fine-mapping, and mediation analysis to identify and dissect shared genomic regions associated with asthma, T2D, height, weight, body mass index (BMI), and waist circumference (WC).Results:We found several genome-wide significant variants in and around theJAZF1gene that are associated with asthma, T2D, or height with two of these variants shared by the three phenotypes. We also observed an association in this region with WC when adjusted for BMI. However, there was no association with WC when it was not adjusted for BMI or weight. Additionally, only suggestive associations between variants in this region and BMI were observed. Fine-mapping analyses suggested that withinJAZF1there are non-overlapping regions harboring causal susceptibility variants for asthma, T2D, and height. Mediation analyses supported the conclusion that these are independent associations.Conclusion:Our findings indicate that variants in theJAZF1are associated with asthma, T2D, and height, but the associated causal variant(s) are different for each of the three phenotypes.