Current epidemiological data indicate that, in humans, females live longer than males but experience a worse quality of life in advanced age. The reasons for this sex disparity are still unknown, but it is likely that it derives from a strict interplay between biological and cultural factors. Epigenetic modifications likely contribute to shape sex gap in aging and longevity, and genome-wide DNA methylation differences between males and females in autosomal chromosomes have been reported. Several studies showed that DNA methylation patterns are profoundly remodelled during aging, modulated in part by environmental exposures. However, few studies have specifically investigated if DNA methylation is differently affected by aging in males and females. Here we performed a meta-analysis of 4 large whole blood datasets including males and females of different ages and we compared 4 aspects of epigenetic age-dependent remodelling between males and females: normative changes, variability, epimutations, and entropy. While we did not find differences in the ageassociated increase in epimutations and in entropy, we reported a list of highly reproducible sex-specific age-associated differentially methylated positions (saDMPs) and sex-specific age-associated variably methylated positions (saVMPs). We investigated the enrichment in saDMPs and saVMPs in genomic regions, imprinted and sex hormone-related genes and Reactome pathways. Furthermore, we experimentally validated the most robust saDMPs, mapping in FIGN and PRR4 genes, and showed sex-specific deviations of their methylation patterns in models of successful (centenarians) and unsuccessful (Down syndrome) aging.In conclusion, we provided a comprehensive description of sex-differences in DNA methylation changes with aging in whole blood. Our results can pave the way to the identification of possible molecular triggers of the sex gap in aging and longevity. DNA methylation profiles tend to diverge among individuals during life course [4][5][6], shaped by an intricated combination of environmental exposures, random events and genetically-driven mechanisms. At the same time, several epigenome-wide association studies (EWAS) have shown that a subset of the about 28 million CpG sites of the genome undergoes age-associated normative changes, i.e. reproducible hypermethylation or hypomethylation events that characterize aging individuals [7,8]. Despite some controversial results [9,10], at least a fraction of normative changes is tissue specific, indicating that the cellular microenvironment affects the activity of the molecular writers of DNA methylation patterns during aging. The number of studies identifying age-associated DNA methylation changes at the level of single CpG sites has exponentially increased in the last 10 years, paving the way for the development of mathematical models, termed "epigenetic clocks", that predict the age of an individual on the basis of his/her epigenetic profile [11]. Epigenetic clocks are an appealing resource for chronological age estimation in ...