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MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women
In this case-control study, we analyzed the association between eight RegulomeDB-annotated single nucleotide polymorphisms (SNPs) in the MEK1, MEK2, ERK1 and ERK2 genes and polycystic ovarian syndrome (PCOS). Logistic regression analysis demonstrated that MEK1 rs12050732 (OR = 1.29 [95%CI: 1.06-1.58...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725017/ https://www.ncbi.nlm.nih.gov/pubmed/29245975 http://dx.doi.org/10.18632/oncotarget.22153 |
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author | Hu, Lingmin Zhang, Yiting Chen, Li Zhou, Wei Wang, Yong Wen, Juan |
author_facet | Hu, Lingmin Zhang, Yiting Chen, Li Zhou, Wei Wang, Yong Wen, Juan |
author_sort | Hu, Lingmin |
collection | PubMed |
description | In this case-control study, we analyzed the association between eight RegulomeDB-annotated single nucleotide polymorphisms (SNPs) in the MEK1, MEK2, ERK1 and ERK2 genes and polycystic ovarian syndrome (PCOS). Logistic regression analysis demonstrated that MEK1 rs12050732 (OR = 1.29 [95%CI: 1.06-1.58], P = 0.012), ERK2 rs2266966 (OR = 0.81 [95%CI: 0.67-0.99], P = 0.040) and ERK2 rs5999521 (OR = 0.66 [95%CI: 0.51-0.86], P = 0.002) were associated with PCOS risk without adjusting for age and body mass index. Moreover, PCOS risk increased with allele dosage when these three polymorphisms were combined (P(trend) = 0.001). These findings suggest that genetic variants in key MAPK and ERK genes contribute to PCOS risk in Chinese women. |
format | Online Article Text |
id | pubmed-5725017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57250172017-12-14 MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women Hu, Lingmin Zhang, Yiting Chen, Li Zhou, Wei Wang, Yong Wen, Juan Oncotarget Research Paper In this case-control study, we analyzed the association between eight RegulomeDB-annotated single nucleotide polymorphisms (SNPs) in the MEK1, MEK2, ERK1 and ERK2 genes and polycystic ovarian syndrome (PCOS). Logistic regression analysis demonstrated that MEK1 rs12050732 (OR = 1.29 [95%CI: 1.06-1.58], P = 0.012), ERK2 rs2266966 (OR = 0.81 [95%CI: 0.67-0.99], P = 0.040) and ERK2 rs5999521 (OR = 0.66 [95%CI: 0.51-0.86], P = 0.002) were associated with PCOS risk without adjusting for age and body mass index. Moreover, PCOS risk increased with allele dosage when these three polymorphisms were combined (P(trend) = 0.001). These findings suggest that genetic variants in key MAPK and ERK genes contribute to PCOS risk in Chinese women. Impact Journals LLC 2017-10-27 /pmc/articles/PMC5725017/ /pubmed/29245975 http://dx.doi.org/10.18632/oncotarget.22153 Text en Copyright: © 2017 Hu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Hu, Lingmin Zhang, Yiting Chen, Li Zhou, Wei Wang, Yong Wen, Juan MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women |
title | MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women |
title_full | MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women |
title_fullStr | MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women |
title_full_unstemmed | MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women |
title_short | MAPK and ERK polymorphisms are associated with PCOS risk in Chinese women |
title_sort | mapk and erk polymorphisms are associated with pcos risk in chinese women |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725017/ https://www.ncbi.nlm.nih.gov/pubmed/29245975 http://dx.doi.org/10.18632/oncotarget.22153 |
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