Krahasoni metodat

	Studimi i Asociacionit Epigjenomik në Kohë	Studimi i asociacionit në nivel të epigenomit (EWAS)
Fusha	Bioinformatikë	Bioinformatikë
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	2010s	2008–2011 (term and framework established c. 2011)
Krijuesi	Extended from EWAS (Rakyan et al., 2011); longitudinal designs formalised by multiple groups ~2010s	Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application
Lloji	Longitudinal epigenomic association pipeline	Population-scale epigenomic association study
Burimi themelues	Pidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., ... & Clark, S. J. (2016). Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biology, 17(1), 208.	Rakyan, V. K., Down, T. A., Balding, D. J., & Beck, S. (2011). Epigenome-wide association studies for common human diseases. Nature Reviews Genetics, 12(8), 529–541.
Emërtime të tjera	time-series EWAS, longitudinal EWAS, repeated-measures EWAS, dynamic methylation association study	EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
Të lidhura	3	5
Përmbledhja	A time-series epigenome-wide association study (time-series EWAS) extends the classic cross-sectional EWAS design to longitudinal settings, measuring DNA methylation across the entire epigenome at multiple time points within the same subjects. The goal is to identify CpG sites whose methylation levels change systematically over time, or to characterise how epigenetic associations with an exposure or phenotype evolve across developmental stages, treatment periods, or disease trajectories.	An epigenome-wide association study (EWAS) is a hypothesis-free, genome-scale method that systematically tests whether epigenetic marks — predominantly CpG-site DNA methylation — differ between individuals with and without a trait, disease, or exposure. By scanning hundreds of thousands of genomic positions simultaneously, EWAS identifies loci where the epigenome is reproducibly associated with a phenotype, offering a layer of biological regulation that classical GWAS does not capture.