The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Thirty-seven candidate genes for polycystic ovary syndrome: Strongest evidence for linkage is with follistatin
Open accessAbstract
Polycystic ovary syndrome (PCOS) is a common endocrine disorder of women, characterized by hyperandrogenism and chronic anovulation. It is a leading cause of female infertility and is associated with polycystic ovaries, hirsutism, obesity, and insulin resistance. We tested a carefully chosen collection of 37 candidate genes for linkage and association with PCOS or hyperandrogenemia in data from 150 families. The strongest evidence for linkage was with the follistatin gene, for which affected sisters showed increased identity by descent (72%; χ 2 = 12.97; nominal P = 3.2 × 10 −4 ). After correction for multiple testing (33 tests), the follistatin findings were still highly significant ( P c = 0.01). Although the linkage results for CYP11A were also nominally significant ( P = 0.02), they were no longer significant after correction. In 11 candidate gene regions, at least one allele showed nominally significant evidence for population association with PCOS in the transmission/disequilibrium test (χ 2 ≥ 3.84; nominal P < 0.05). The strongest effect in the transmission/disequilibrium test was observed in the INSR region ( D19S884 ; allele 5; χ 2 = 8.53) but was not significant after correction. Our study shows how a systematic screen of candidate genes can provide strong evidence for genetic linkage in complex diseases and can identify those genes that should have high (or low) priority for further study.
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Franks, S. (1995) · New England Journal of Medicine · doi:10.1056/nejm199509283331307 · Cited by 2,463
Legro, R. S. (1999) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.84.1.165 · Cited by 1,743
Self-citationKiddy, D. S., Hamilton‐Fairley, D., Bush, A., Short, F., Anyaoku, V., Reed, M. J., & Franks, S. (1992) · Clinical Endocrinology · doi:10.1111/j.1365-2265.1992.tb02909.x · Cited by 921
Bennett, S. T., Lucassen, A. M., Gough, S. C. L., Powell, E. E., Undlien, D. E., Pritchard, L. E., Merriman, M. E., Kawaguchi, Y., Dronsfield, M. J., Pociot, F., et al. (1995) · Nature Genetics · doi:10.1038/ng0395-284 · Cited by 746
Dunaif, A., Xia, J., Book, C. B., Schenker, E., & Tang, Z. (1995) · Journal of Clinical Investigation · doi:10.1172/jci118126 · Cited by 561
Self-citationCellular mechanisms of insulin resistance in polycystic ovarian syndrome
Ciaraldi, T. P. (1992) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.75.2.577 · Cited by 336
Hereditary factors in the Stein-Leventhal syndrome
Cooper, H. E., Spellacy, W. N., Prem, K. A., & Cohen, W. D. (1968) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(15)33704-2 · Cited by 211
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Diamanti-Kandarakis, E., & Dunaif, A. (2012) · Endocrine Reviews · doi:10.1210/er.2011-1034 · Cited by 1,947
Self-citationAzziz, R., Carmina, E., Chen, Z., Dunaif, A., Laven, J. S. E., Legro, R. S., Lizneva, D., Natterson-Horowtiz, B., Teede, H. J., & Yildiz, B. O. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.57 · Cited by 2,005
Self-citationInitial and cyclic recruitment of ovarian follicles
McGee, E. A., & Hsueh, A. J. W. (2000) · Endocrine Reviews · doi:10.1210/edrv.21.2.0394 · Cited by 1,771
Rosenfield, R. L., & Ehrmann, D. A. (2016) · Endocrine Reviews · doi:10.1210/er.2015-1104 · Cited by 1,603
Self-citationNorman, R. J., Dewailly, D., Legro, R. S., & Hickey, T. E. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61345-2 · Cited by 1,360
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Metadata
- Authors
- Urbanek, M., Legro, R. S., Driscoll, D. A., Azziz, R., Ehrmann, D. A., Norman, R. J., Strauss, J. F., Spielman, R. S., & Dunaif, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1999-07-20
- Volume
- 96
- Issue
- 15
- Pages
- 8573-8578
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1977681402
- Cited by
- 486
- References
- 7
- FWCI
- 30.10
- Type
- journal article
- Language
- en
- Open access
- green
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- Urbanek, M., Legro, R. S., Driscoll, D. A., Azziz, R., Ehrmann, D. A., Norman, R. J., Strauss, J. F., Spielman, R. S., & Dunaif, A. (1999). Thirty-seven candidate genes for polycystic ovary syndrome: Strongest evidence for linkage is with follistatin. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.15.8573
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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