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Analysis of quantitative trait loci that influence animal behavior

Flint, Jonathan·2003·Journal of Neurobiology

Abstract

Behavioral differences between inbred strains of mice and rats have a genetic basis that can now be dissected using quantitative trait locus (QTL) analysis. Over the last 10 years, a large number of genetic loci that influence behavior have been mapped. In this article I review what that information has revealed about the genetic architecture of behavior. I show that most behaviors are influenced by QTL of small effect, each contributing to less than 10% of the variance of a behavioral trait. The small effect of each QTL on behavioral variation suggests that the mutational spectrum is different from that which results in Mendelian disorders. Regions of DNA should be appropriately prioritized to find the molecular variants, for instance by looking at sequences that control the level of gene expression rather than variants in coding regions. While the number of allelic loci that can contribute to a trait is large, this is not necessarily the case: the analysis of selected strains shows that a remarkably small number of QTL can explain the bulk of the genetic variation in behavior. I conclude by arguing that genetic mapping has more to offer than a starting point for positional cloning projects. With advances in multivariate analyses, mapping can also test hypotheses about the psychological processes that give rise to behavioral variation. © 2003 Wiley Periodicals, Inc. J Neurobiol 54: 46–77, 2003

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Metadata

Authors
Flint, J.
Venue
Journal of Neurobiology
Publisher
Wiley
Published
2002-12-16
Volume
54
Issue
1
Pages
46-77
ISSN
  • 0022-3034 (ISSN-L)
  • 1097-4695
OpenAlex
W2159975710
Cited by
210
References
4
FWCI
8.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis of quantitative trait loci that influence animal behavior. https://app.cochat.ai/papers/10.1002/neu.10161
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Flint, J. (2003). Analysis of quantitative trait loci that influence animal behavior. Journal of Neurobiology. https://doi.org/10.1002/neu.10161

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