Understanding quantitative genetic variation - PubMed (original) (raw)

Review

doi: 10.1038/nrg700.

Affiliations

• PMID: 11823787
• DOI: 10.1038/nrg700

Review

Understanding quantitative genetic variation

N H Barton et al. Nat Rev Genet. 2002 Jan.

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.

PubMed Disclaimer

Similar articles

• QTL-based evidence for the role of epistasis in evolution.
  Malmberg RL, Mauricio R. Malmberg RL, et al. Genet Res. 2005 Oct;86(2):89-95. doi: 10.1017/S0016672305007780. Genet Res. 2005. PMID: 16356282 Review.
• Quantitative genetic variation: a post-modern view.
  Farrall M. Farrall M. Hum Mol Genet. 2004 Apr 1;13 Spec No 1:R1-7. doi: 10.1093/hmg/ddh084. Epub 2004 Feb 12. Hum Mol Genet. 2004. PMID: 14962979 Review.
• Finding the molecular basis of quantitative traits: successes and pitfalls.
  Flint J, Mott R. Flint J, et al. Nat Rev Genet. 2001 Jun;2(6):437-45. doi: 10.1038/35076585. Nat Rev Genet. 2001. PMID: 11389460 Review.
• Quantitative trait loci in Drosophila.
  Mackay TF. Mackay TF. Nat Rev Genet. 2001 Jan;2(1):11-20. doi: 10.1038/35047544. Nat Rev Genet. 2001. PMID: 11253063 Review.
• Finding genes that underlie complex traits.
  Glazier AM, Nadeau JH, Aitman TJ. Glazier AM, et al. Science. 2002 Dec 20;298(5602):2345-9. doi: 10.1126/science.1076641. Science. 2002. PMID: 12493905 Review.

Cited by

• Genetic approaches in comparative and evolutionary physiology.
  Storz JF, Bridgham JT, Kelly SA, Garland T Jr. Storz JF, et al. Am J Physiol Regul Integr Comp Physiol. 2015 Aug 1;309(3):R197-214. doi: 10.1152/ajpregu.00100.2015. Epub 2015 Jun 3. Am J Physiol Regul Integr Comp Physiol. 2015. PMID: 26041111 Free PMC article. Review.
• Excess variants in AFF2 detected by massively parallel sequencing of males with autism spectrum disorder.
  Mondal K, Ramachandran D, Patel VC, Hagen KR, Bose P, Cutler DJ, Zwick ME. Mondal K, et al. Hum Mol Genet. 2012 Oct 1;21(19):4356-64. doi: 10.1093/hmg/dds267. Epub 2012 Jul 5. Hum Mol Genet. 2012. PMID: 22773736 Free PMC article.
• Quantitative genetics of learning ability and resistance to stress in Drosophila melanogaster.
  Nepoux V, Babin A, Haag C, Kawecki TJ, Le Rouzic A. Nepoux V, et al. Ecol Evol. 2015 Feb;5(3):543-56. doi: 10.1002/ece3.1379. Epub 2015 Jan 7. Ecol Evol. 2015. PMID: 25691979 Free PMC article.
• Polygenic adaptation: a unifying framework to understand positive selection.
  Barghi N, Hermisson J, Schlötterer C. Barghi N, et al. Nat Rev Genet. 2020 Dec;21(12):769-781. doi: 10.1038/s41576-020-0250-z. Epub 2020 Jun 29. Nat Rev Genet. 2020. PMID: 32601318 Review.
• Extreme Polygenicity of Complex Traits Is Explained by Negative Selection.
  O'Connor LJ, Schoech AP, Hormozdiari F, Gazal S, Patterson N, Price AL. O'Connor LJ, et al. Am J Hum Genet. 2019 Sep 5;105(3):456-476. doi: 10.1016/j.ajhg.2019.07.003. Epub 2019 Aug 8. Am J Hum Genet. 2019. PMID: 31402091 Free PMC article.

Publication types

MeSH terms

Substances

LinkOut - more resources

• Full Text Sources

  • Nature Publishing Group