เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การศึกษาความสัมพันธ์ของลักษณะทางพันธุกรรมทั่วทั้งจีโนมแบบอนุกรมเวลา× | Epigenome-Wide Association Study (EWAS)× | |
|---|---|---|
| สาขาวิชา | ชีวสารสนเทศศาสตร์ | ชีวสารสนเทศศาสตร์ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2010s | 2008–2011 (term and framework established c. 2011) |
| ผู้ริเริ่ม≠ | 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 |
| ประเภท≠ | Longitudinal epigenomic association pipeline | Population-scale epigenomic association study |
| แหล่งต้นตำรับ≠ | 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. link ↗ | 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. DOI ↗ |
| ชื่อเรียกอื่น | time-series EWAS, longitudinal EWAS, repeated-measures EWAS, dynamic methylation association study | EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study |
| ที่เกี่ยวข้อง≠ | 3 | 5 |
| สรุป≠ | 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. |
| ScholarGateชุดข้อมูล ↗ |
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