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Updated: Aug 5, 2026
06:51
Ovariectomy and 17β-estradiol Replacement in Rats and Mice: A Visual Demonstration
Published on: June 7, 2012
Interacting quantitative trait loci control phenotypic variation in murine estradiol-regulated responses
R J Roper1, J S Griffith, C R Lyttle
1Department of Veterinary Pathobiology, University of Illinois at Urbana-Champaign, Urbana 61802, USA.
Endocrinology
|February 2, 1999
Summary
Estradiol (E2) effects on uterine growth are genetically controlled. Genome mapping identified specific quantitative trait loci (QTL) influencing E2-dependent uterine responses, revealing a genetic basis for these variations.
Area of Science:
- Endocrinology
- Genetics
- Reproductive Biology
Background:
- Estradiol (E2) is a steroid hormone inducing systemic and uterotropic effects.
- E2-mediated uterine growth is a key model for studying hormone-dependent growth mechanisms.
- E2-regulated growth influences various normal and pathological conditions.
Purpose of the Study:
- To identify genetic loci controlling phenotypic variation in estradiol-dependent uterine responses.
- To investigate the genetic basis of estradiol's effects on uterine wet weight and leukocyte infiltration.
Main Methods:
- Genome exclusion mapping in mice to identify quantitative trait loci (QTL).
- Analysis of Est2 and Est3 QTL on chromosomes 5 and 11 for uterine wet weight variation.
- Interaction and multiple trait analyses involving uterine leukocyte response and wet weight to identify Est4 QTL on chromosome 10.
Main Results:
- Two major QTL, Est2 and Est3, were identified, controlling phenotypic variation in uterine wet weight.
- These QTL are associated with E2-regulated genes, suggesting roles in conserved gene complexes.
- A fourth QTL, Est4, appears to influence both uterine wet weight and leukocyte response, indicating interacting genetic factors.
Conclusions:
- Estradiol-dependent responses, including uterine growth, are significantly controlled by genetic factors.
- The identified QTL provide insights into the genetic architecture underlying E2 signaling and its physiological outcomes.
- Genetic variation plays a fundamental role in the diverse E2-dependent phenotypes observed in vivo.
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