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Standard gene mapping software packages can be used, although it is often faster to use custom code such as QTL Reaper or the web-based eQTL mapping system GeneNetwork. GeneNetwork hosts many large eQTL mapping data sets and provide access to fast algorithms to map single loci and epistatic interactions. As is true in all QTL mapping studies ...
A quantitative trait locus (QTL) is a locus (section of DNA) that correlates with variation of a quantitative trait in the phenotype of a population of organisms. [1] QTLs are mapped by identifying which molecular markers (such as SNPs or AFLPs) correlate with an observed trait.
In statistical genetics, inclusive composite interval mapping (ICIM) has been proposed as an approach to QTL (quantitative trait locus) mapping for populations derived from bi-parental crosses. QTL mapping is based on genetic linkage map and phenotypic data to attempt to locate individual genetic factors on chromosomes and to estimate their ...
In genetics, association mapping, also known as "linkage disequilibrium mapping", is a method of mapping quantitative trait loci (QTLs) that takes advantage of historic linkage disequilibrium to link phenotypes (observable characteristics) to genotypes (the genetic constitution of organisms), uncovering genetic associations.
Retrieved from "https://en.wikipedia.org/w/index.php?title=EQTL&oldid=325601226"This page was last edited on 13 November 2009, at 10:52 (UTC). (UTC).
Statistical frameworks and mapping models are used to identify imprinting effects on genes and complex traits. Allelic parent-of-origin influences the vary in phenotype that derive from the imprinting of genotype classes. [65] These models of mapping and identifying imprinting effects include using unordered genotypes to build mapping models. [67]
The term eQTL was first published around the 1990s-2000s*, but no specific person coined it** Gene expression technically refers to any product of a gene, but because quantifying RNA levels is vastly easier that quantifying proteins (on a high-throughput, genome-wide scale), scientists generally use "expression" to mean "RNA", not protein.
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