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Association mapping has been most widely applied to the study of human disease, specifically in the form of a genome-wide association study (GWAS). A genome-wide association study is performed by scanning an entire genome for SNPs associated with a particular trait of interest, or in the case of human disease, with a particular disease of interest.
QTL location is indicated only by looking at which markers give the greatest differences between genotype group averages, and the apparent QTL effect at a marker will be smaller than the true QTL effect as a result of recombination between the marker and the QTL. Second, we must discard individuals whose genotypes are missing at the marker.
Relationship between the minor allele frequency and the effect size of genome wide significant variants in a GWAS of height. Attempts have been made at creating comprehensive catalogues of SNPs that have been identified from GWA studies. [33] As of 2009, SNPs associated with diseases are numbered in the thousands. [34]
The only considerable difference is that eQTL studies can involve a million or more expression microtraits. 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.
Often, by the time a QTL mapping population is developed and mapped, breeders have introgressed the new QTL using traditional breeding and selection methods. This can reduce the usefulness of MAS (marker-assisted selection) within breeding programs at the time when MAS could be most useful (i.e., shortly after new QTL are identified). [2]
Alaskan gas wells are located in two regions. The largest source is the North Slope area around Prudhoe Bay where gas was discovered along with oil in 1968. In 1974 the State of Alaska's Division of Geological & Geophysical Surveys estimated that the field held 26 × 10 ^ 12 cu ft (740 km 3) of natural gas. [3]
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