Sammenlign metoder

	GCTA	QTL-kortlægning
Fagområde	Genetik	Genetik
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	2011	1989
Ophavsperson	Jian Yang & Peter Visscher	Eric Lander & David Botstein
Type	Computational analysis tool	Genetic linkage method
Oprindelig kilde	Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011). GCTA: A tool for genome-wide complex trait analysis. American Journal of Human Genetics, 88(1), 76–82.	Lander, E. S., & Botstein, D. (1989). Mapping Mendelian traits using RFLP linkage maps. Genetics, 121(1), 185–199.
Aliasser	GREML, Genome-wide complex trait analysis, Heritability estimation	QTL analysis, Linkage mapping, Trait locus mapping
Relaterede	4	4
Resumé	GCTA (Genome-wide Complex Trait Analysis) is a computational toolkit for estimating heritability and genetic correlations from genome-wide genotype and phenotype data. Developed by Yang and Visscher in 2011, GCTA uses genome-wide restricted maximum likelihood (GREML) to partition phenotypic variance into components explained by common SNPs, environmental factors, and residual variation. GCTA has become a standard tool for understanding the proportion of trait variation attributable to genetics across complex diseases and quantitative traits.	Quantitative trait loci (QTL) mapping is a genetic method that localizes chromosomal regions influencing quantitative traits—continuous phenotypes controlled by multiple genes and environmental factors. Developed by Lander and Botstein in 1989, QTL mapping uses linkage analysis and trait variation in segregating populations (such as F2 crosses or recombinant inbred lines) to identify genomic intervals containing loci that substantially affect trait values. This foundational approach has been extended to genome-wide association and is essential for understanding the genetic architecture of complex traits.