เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การระบุความแปรผัน× | Epigenome-Wide Association Study (EWAS)× | |
|---|---|---|
| สาขาวิชา | ชีวสารสนเทศศาสตร์ | ชีวสารสนเทศศาสตร์ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2009–2010 (modern high-throughput era) | 2008–2011 (term and framework established c. 2011) |
| ผู้ริเริ่ม≠ | Li et al. (SAMtools/bcftools, 2009); McKenna et al. (GATK, 2010) | Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application |
| ประเภท≠ | Computational genomics pipeline | Population-scale epigenomic association study |
| แหล่งต้นตำรับ≠ | McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., ... & DePristo, M. A. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research, 20(9), 1297–1303. DOI ↗ | 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 | SNP calling, genotyping from sequencing, mutation detection, variant detection | EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | Variant calling is the computational process of identifying positions in a sequenced genome that differ from a reference sequence — including single nucleotide polymorphisms (SNPs), small insertions and deletions (indels), and structural variants. It transforms aligned sequencing reads into an interpretable catalogue of genetic differences, forming the foundation for population genetics, disease-gene discovery, and clinical genomics applications. | 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 ↗ |
|
|