Background: Cervical cancer (CC) is linked to human PAPILLOMAVIRUS (HPV). Globally, the prevalence and genotype distribution diff, er signifi, cantly. Objectives: The goal of this study was to fi, nd HPV 14, 16, 18, and 45 genotypes in urogenital swabs by using a real-time PCR amplifi, cation test for quantitative genotyping of HPV DNA types 16, 18, and 45 and for simultaneous quantitative detection of HPV DNA types 31, 33, 35, 39, 51, 52, 56, 58, 59, 66, and 68, for a total of 14 HPV genotypes. Methods: This case-control study included 86 cervical swabs from Iraqi women referred by the Al-Yarmook teaching hospital in Baghdad, Iraq. The ages of cases varied from 23 to 70 years and specimens were obtained between March 2020 and March 2021. The DNA was extracted for molecular assay. Fourteen HPV genotypes were detected using real-time PCR (16, 18, 45, 31, 33, 35, 39, 51, 52, 56, 58, 59, 66, and 68). The detection protocol was based on the commercial Kit V31-100/F FRT as follows. For each sample reaction, 10(N+1) , L of PCR-mix-1-FRT HPV 14 was added into a new tube. Then, 5. 0(N+1) , L of PCR-mix-2 buff, er and 0. 5(N+1) , L of TaqF DNA polymerase were added. The tubes were vortexed. Finally, the prepared tubes added 10 , L of DNA samples from test or control samples. The statistical analysis was conducted using the statistical package for SPSS and Excel 2016 software. Results: Genotype 16 had the highest frequency, followed by genotypes 45 (22%), 18 (14%), 35 and 59 (6%), 52 and 58 (4%), and 31 (2%), while genotypes 33, 39, 51, 56, 66, and 68 had the lowest frequency (1%). Conclusions: The real-time PCR was effi, cient for detecting and genotyping HPV-DNA and could help in earlier detection and clinical care of HPV-infected patients by reducing costs and workload.