Global demand for vegetable oil and protein is increasing at a dramatic rate,so improving the yield of oil and protein crop species like rapeseed is the crucial goal in breeding programmes.Uncovering the underlying loci in the genome would provide knowledge to guide future genetic improvement.In this regard,meta-analysis can discover the most stable loci regardless of populations genetic background and field trial conditions.In the present study,2112 QTLs quality traits of Brassica napus,were detected in 15 populations from 21 published studies since 2000（PVE of the initial QTLs varied from 0.1 to 67.2%）.The physical position of 1567 initial QTLs could be found in the physical map of Darmor-v5 and finally unraveled 294 QTL overlapping regions from different populations potentially associated with seed quality traits in rapeseed.181 regions of overlapping QTLs were located on the A genome and 113 regions were on the C genome.Among overlapping QTLs,180,54,52,6,and 2 regions were,in turns,for OC,PC,fatty acids,sterols,and amino acids contents,which most of them located in sub-telomeric regions of chromosome A08,C03,A03,A09,and A01.Considering the used population types,213,52,18,and one overlapping QTLs were detected in two,three,four,and five populations,respectively.We detected hot spot regions（with more than 10 initial QTLs）in some traits which could give clues to discover varied or protected areas.Also,111 overlapping regions were found in various traits including some regions of chromosomes C03（6.56-6.74,6.82-6.92,7.81-8.16 Mbp）and A08（13.81-13.86,14.11-14.67 Mbp）which might affect more than six traits.Since these regions,likely contain candidate genes with broad pleiotropic effects or tight linkage,could be advantageous to develop for rapeseed breeding in targeting more than one desirable trait simultaneously.Our results can consider as a foundation for future researches concerning bioinformatics analysis,genetic engineering,and breeding programs.