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Cited by 288

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Polycystic ovary syndrome (PCOS) and genetic predisposition: A review article

Open access
Ajmal, Nida, Khan, Sanam Zeib, Shaikh, Rozeena·2019·European Journal of Obstetrics & Gynecology and Reproductive Biology: X

Abstract

Polycystic ovary syndrome (PCOS) is a heterogeneous condition which is related to an endocrine reproductive disorder of females. It affects females of 18-44 age. The persistent hormonal disbalance leads to the complexities such as numerous cysts, an irregular menstrual cycle that ultimately leads to infertility among females. Many candidate genes have been identified to be one of the causes of PCOS. Different studies have been carried out to find the genetic correlation of PCOS. It is essential to carry out such studies that identify the clear cause of PCOS and its genetic association and hormonal disbalance. This review has highlighted different genes and their correlation with PCOS that leads to hormonal disbalance. Yet not in-depth but an attempt to study the genetic predisposition of PCOS.

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Metadata

Authors
Ajmal, N., Khan, S. Z., & Shaikh, R.
Venue
European Journal of Obstetrics & Gynecology and Reproductive Biology: X
Publisher
Elsevier BV
Published
2019-07
Volume
3
Pages
100060
ISSN
2590-1613 (ISSN-L)
OpenAlex
W2951509688
Cited by
288
References
4
FWCI
19.31
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Polycystic ovary syndrome (PCOS) and genetic predisposition: A review article. https://app.cochat.ai/papers/10.1016/j.eurox.2019.100060
The paper
Ajmal, N., Khan, S. Z., & Shaikh, R. (2019). Polycystic ovary syndrome (PCOS) and genetic predisposition: A review article. European Journal of Obstetrics & Gynecology and Reproductive Biology: X. https://doi.org/10.1016/j.eurox.2019.100060

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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).

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