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Cited by 254

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Genetic Variation in Susceptibility to Endocrine Disruption by Estrogen in Mice

Spearow, Jimmy L., Doemeny, Paul, Sera, Robyn, Leffler, Rachael, Barkley, Marylynn·1999·Science

Abstract

Large (more than 16-fold) differences in susceptibility to disruption of juvenile male reproductive development by 17β-estradiol (E 2 ) were detected between strains of mice. Effects of strain, E 2 dose, and the interaction of strain and E 2 dose on testes weight and spermatogenesis were all highly significant ( P < 0.0001). Spermatid maturation was eliminated by low doses of E 2 in strains such as C57BL/6J and C17/Jls. In contrast, mice of the widely used CD-1 line, which has been selected for large litter size, showed little or no inhibition of spermatid maturation even in response to 16 times as much E 2 . Product safety bioassays conducted with animals selected for fecundity may greatly underestimate disruption of male reproductive development by estradiol and environmental estrogenic compounds.

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Crossref · 10.1126/science.285.5431.1259

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Metadata

Authors
Spearow, J. L., Doemeny, P., Sera, R., Leffler, R., & Barkley, M.
Venue
Science
Published
1999-08-20
Volume
285
Issue
5431
Pages
1259-1261
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2054932840
Cited by
254
References
13
FWCI
20.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genetic Variation in Susceptibility to Endocrine Disruption by Estrogen in Mice. https://app.cochat.ai/papers/10.1126/science.285.5431.1259
The paper
Spearow, J. L., Doemeny, P., Sera, R., Leffler, R., & Barkley, M. (1999). Genetic Variation in Susceptibility to Endocrine Disruption by Estrogen in Mice. Science. https://doi.org/10.1126/science.285.5431.1259

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.