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Background: Decoding the genetic mechanisms of late‐onset Alzheimer's disease (LOAD) is a major challenge in the post‐GWAS era, since the majority of the LOAD associated SNPs are in noncoding regions. Noncoding disease‐associated loci have been shown to be enriched for regulatory elements in tissues and cells relevant to the disease. Thus, post‐GWAS research requires an in‐depth characterization of cell‐type‐specific DNA regulatory elements and gene expression patterns. Methods: We conducted ATAC‐seq profiling using NeuN sorted‐nuclei from 40 frozen brain tissues to determine LOAD‐specific changes in chromatin accessibility landscape in a cell‐type specific manner. We complemented these experiments by generating single‐nuclei(sn)RNA‐seq data from a subset group of the same brain samples. Results: The study has five major findings for the field of LOAD epigenetics. First, we generated a map of LOAD‐associated cell‐type specific chromatin accessibility sites. Second, we identified 211 LOAD‐specific differential chromatin accessibility sites in neuronal‐nuclei. Third, we provided a catalogue of 842 female‐specific disease‐associated chromatin accessibility sites in non‐neuronal cells. Forth, we showed that the LOAD‐associated cell‐type‐specific changes in chromatin accessibility overlapped with ∼25% of the LOAD‐GWAS regions. Thus, suggesting a noncoding regulatory mechanism, namely chromatin accessibility, by which several LOAD‐GWAS loci may exert their pathogenic effect. Fifth, we functionally validated the ATAC‐seq findings using snRNA‐seq datasets. Data integration identified overlaps between the LOAD‐specific ATAC‐seq signals with the transcriptome profiles of known and new LOAD loci and demonstrated that LOAD‐associated changes in chromatin accessibility can result in gene dysregulation. Conclusion: To our knowledge, this study represents the first and most comprehensive systematic interrogation of the chromatin accessibility landscape in LOAD and the functional effect on gene dysregulation. Moreover, the outcomes unveiled how cell‐type‐specific and sex‐dependent alterations in chromatin structure and transcription programs are associated with LOAD. These findings enhance the interpretation of LOAD‐GWAS discoveries towards translating association to causation, provide potential pathomechanisms, and suggest novel LOAD‐loci. Furthermore, our results convey mechanistic insights into sex differences in LOAD risk and clinicopathology. [ABSTRACT FROM AUTHOR]