Krahasoni metodat

	Analiza Filogjenetike e Serive Kohore	Studimi i Asociacionit të Gjenomit të Gjerë (GWAS)
Fusha	Bioinformatikë	Bioinformatikë
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	2000s (molecular clock methods earlier; BEAST framework 2007)	2005–2007
Krijuesi	Alexei J. Drummond, Andrew Rambaut, and colleagues	Klein et al. (age-related macular degeneration GWAS, 2005); landmark scale: Wellcome Trust Case Control Consortium (2007)
Lloji	Evolutionary bioinformatics pipeline	Observational genomic association study
Burimi themelues	Drummond, A. J., & Rambaut, A. (2007). BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology, 7, 214.	Wellcome Trust Case Control Consortium. (2007). Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature, 447(7145), 661–678.
Emërtime të tjera	temporal phylogenetics, time-resolved phylogenetics, molecular clock phylogenetics, phylodynamics	GWAS, genome-wide association analysis, whole-genome association study, WGAS
Të lidhura	6	6
Përmbledhja	Time-series phylogenetic analysis reconstructs the evolutionary history of organisms or genetic variants using sequences sampled at known time points. By incorporating sampling dates directly into the model, it estimates divergence times, substitution rates, and ancestral relationships on an absolute timescale — making it essential for studying viral outbreaks, ancient DNA dynamics, and rapid microbial evolution.	A genome-wide association study (GWAS) systematically tests hundreds of thousands to millions of single-nucleotide polymorphisms (SNPs) across the human genome for statistical association with a trait or disease. By comparing allele frequencies between cases and controls — or by regressing SNP genotypes on a quantitative phenotype — GWAS identifies genomic loci that harbor common genetic variants contributing to complex traits. Since its large-scale debut in 2007, GWAS has catalogued thousands of robust disease–variant associations across virtually every common human condition.