विधियों की तुलना करें

	एचकेए परीक्षण	सहसंयोजन सिद्धांत
क्षेत्र	आनुवंशिकी	आनुवंशिकी
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1987	1982
प्रवर्तक	Richard Hudson, Martin Kreitman & Montserrat Aguade	John Kingman
प्रकार	Statistical test	Stochastic process model
मौलिक स्रोत	Hudson, R. R., Kreitman, M., & Aguadé, M. (1987). A test of neutral molecular evolution based on nucleotide data. Genetics, 116(1), 153–159.	Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248.
उपनाम	HKA test, Polymorphism divergence test	Kingman Coalescent, n-coalescent
संबंधित	4	4
सारांश	The Hudson-Kreitman-Aguade (HKA) test is a statistical method that tests for neutral evolution by comparing levels of within-population polymorphism and between-population divergence at multiple loci. Developed by Hudson, Kreitman, and Aguade in 1987, this test uses the principle that neutral loci should show expected relationships between polymorphism and divergence. Loci deviating from these relationships are candidates for selection. The HKA test is particularly useful for detecting selection in genome-wide surveys because it uses relative comparisons across loci rather than requiring external calibration.	Coalescent theory is a probabilistic framework that traces the genealogical history of DNA sequences backward in time to their most recent common ancestor. Developed by John Kingman in 1982, this method forms the foundation of modern population genetics, enabling researchers to understand demographic events, estimate genetic parameters, and reconstruct evolutionary histories from modern genetic data.