Understanding quantitative genetic variation

Barton NH, Keightley P. 2002. Understanding quantitative genetic variation. Nature Reviews Genetics. 3, 11–21.

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Journal Article | Published | English

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Author
Barton, Nick HISTA ; Keightley, Peter
Abstract
Until recently, it was impracticable to identify the genes that are responsible for variation in continuous traits, or to directly observe the effects of their different alleles. Now, the abundance of genetic markers has made it possible to identify quantitative trait loci (QTL) — the regions of a chromosome or, ideally, individual sequence variants that are responsible for trait variation. What kind of QTL do we expect to find and what can our observations of QTL tell us about how organisms evolve? The key to understanding the evolutionary significance of QTL is to understand the nature of inherited variation, not in the immediate mechanistic sense of how genes influence phenotype, but, rather, to know what evolutionary forces maintain genetic variability.
Publishing Year
Date Published
2002-01-01
Journal Title
Nature Reviews Genetics
Volume
3
Page
11 - 21
ISSN
IST-REx-ID

Cite this

Barton NH, Keightley P. Understanding quantitative genetic variation. Nature Reviews Genetics. 2002;3:11-21. doi:10.1038/nrg700
Barton, N. H., & Keightley, P. (2002). Understanding quantitative genetic variation. Nature Reviews Genetics. Nature Publishing Group. https://doi.org/10.1038/nrg700
Barton, Nicholas H, and Peter Keightley. “Understanding Quantitative Genetic Variation.” Nature Reviews Genetics. Nature Publishing Group, 2002. https://doi.org/10.1038/nrg700.
N. H. Barton and P. Keightley, “Understanding quantitative genetic variation,” Nature Reviews Genetics, vol. 3. Nature Publishing Group, pp. 11–21, 2002.
Barton NH, Keightley P. 2002. Understanding quantitative genetic variation. Nature Reviews Genetics. 3, 11–21.
Barton, Nicholas H., and Peter Keightley. “Understanding Quantitative Genetic Variation.” Nature Reviews Genetics, vol. 3, Nature Publishing Group, 2002, pp. 11–21, doi:10.1038/nrg700.

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PMID: 11823787
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