Literature DB >> 25574032

Genome-wide association study identified new susceptibility loci for polycystic ovary syndrome.

Hyejin Lee1, Jee-Young Oh1, Yeon-Ah Sung2, Hyewon Chung3, Hyung-Lae Kim4, Gwang Sub Kim5, Yoon Shin Cho5, Jin Taek Kim6.   

Abstract

STUDY QUESTION: Are there any novel genetic markers of susceptibility to polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: We identified a novel susceptibility locus on chromosome 8q24.2 and several moderately associated loci for PCOS in Korean women. WHAT IS KNOWN ALREADY: PCOS is a highly complex disorder with significant contributions from both genetic and environmental factors. Previous genome-wide association studies (GWAS) in the Han Chinese population identified several risk loci for PCOS. However, GWAS studies on PCOS remain very few. The aim of this study was to identify novel markers of susceptibility to PCOS through GWAS. STUDY DESIGN, SIZE, DURATION: A two-stage GWAS was conducted. The initial discovery set for GWAS consisted of 976 PCOS cases and 946 controls. The second stage (replication study) included 249 PCOS cases and 778 controls. PARTICIPANTS/MATERIALS, SETTING,
METHODS: Patients were diagnosed according to the Rotterdam criteria. Genomic DNAs were genotyped using the HumanOmni1-Quad v1 array. In the replication stage, the 21 most promising signals selected from the discovery stage were tested for their association with PCOS. MAIN RESULTS AND THE ROLE OF CHANCE: One novel locus with genome-wide significance and seven moderately associated loci for PCOS were identified. The strongest association was on chromosome 8q24.2 (rs10505648, OR = 0.52, P = 5.46 × 10(-8)), and other association signals were located at 4q35.2, 16p13.3, 4p12, 3q26.33, 9q21.32, 11p13 and 1p22 (P = 5.72 × 10(-6)-6.43 × 10(-5)). The strongest signal was located upstream of KHDRBS3, which is associated with telomerase activity, and could drive PCOS and related phenotypes. LIMITATIONS, REASONS FOR CAUTION: The limitation of our study is the modest sample size used in the replication cohort. The limited sample size may contribute to a lack of statistical power to detect an association or show a trend in severity. WIDER IMPLICATIONS OF THE
FINDINGS: Our findings provide new insight into the genetics and biological pathways of PCOS and could contribute to the early diagnosis and prevention of metabolic and reproductive morbidities. STUDY FUNDING/COMPETING INTERESTS: This work was supported in part by the grant from the Korea Centers for Disease Control and Prevention (2009-E00591-00). The work was also supported by the Ewha Global Top5 Grant 2013 of Ewha Womans University. None of the authors has any conflict of interest to declare.
© The Author 2015. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  genome-wide association study; polycystic ovary syndrome

Mesh:

Substances:

Year:  2015        PMID: 25574032     DOI: 10.1093/humrep/deu352

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  25 in total

1.  Perspectives in Polycystic Ovary Syndrome: From Hair to Eternity.

Authors:  Andrea Dunaif
Journal:  J Clin Endocrinol Metab       Date:  2016-02-23       Impact factor: 5.958

2.  Genetic Predisposition to Polycystic Ovary Syndrome, Postpartum Weight Reduction, and Glycemic Changes: A Longitudinal Study in Women With Prior Gestational Diabetes.

Authors:  Tiange Wang; Junhong Leng; Nan Li; Aline Martins de Carvalho; Tao Huang; Yan Zheng; Weiqin Li; Huikun Liu; Leishen Wang; Gang Hu; Lu Qi
Journal:  J Clin Endocrinol Metab       Date:  2015-10-02       Impact factor: 5.958

Review 3.  Multiomics Analysis-Based Biomarkers in Diagnosis of Polycystic Ovary Syndrome.

Authors:  Shikha Rani; Piyush Chandna
Journal:  Reprod Sci       Date:  2022-01-27       Impact factor: 3.060

4.  MIR146A and ADIPOQ genetic variants are associated with birth weight in relation to gestational age: a cohort study.

Authors:  Lívia Reis Silva; Anderson Sanches Melo; Cristiana Libardi Miranda Furtado; Rui Alberto Ferriani; Karina Bezerra Salomão; Suleimy Cristina Mazin; Luiz Gonzaga Tone; Viviane Cunha Cardoso; Rosana Maria Dos Reis
Journal:  J Assist Reprod Genet       Date:  2022-06-11       Impact factor: 3.357

5.  The role of ERK-1 and ERK-2 gene polymorphisms in PCOS pathogenesis.

Authors:  Gurhan Guney; Mine Islimye Taşkın; Nazli Sener; Ezgi Tolu; Yavuz Dodurga; Levent Elmas; Orkun Cetin; Cengiz Sarigul
Journal:  Reprod Biol Endocrinol       Date:  2022-06-29       Impact factor: 4.982

6.  Further delineation of familial polycystic ovary syndrome (PCOS) via whole-exome sequencing: PCOS-related rare FBN3 and FN1 gene variants are identified.

Authors:  Cengiz Karakaya; Aylin Pelin Çil; Kaya Bilguvar; Tunahan Çakir; Mete Hakan Karalok; Recep Onur Karabacak; Ahmet Okay Caglayan
Journal:  J Obstet Gynaecol Res       Date:  2022-02-09       Impact factor: 1.697

Review 7.  Ovarian Physiology and GWAS: Biobanks, Biology, and Beyond.

Authors:  Triin Laisk-Podar; Cecilia M Lindgren; Maire Peters; Juha S Tapanainen; Cornelis B Lambalk; Andres Salumets; Reedik Mägi
Journal:  Trends Endocrinol Metab       Date:  2016-05-21       Impact factor: 12.015

8.  PORTABILITY OF GWAS RESULTS BETWEEN ETHNIC POPULATIONS: GENETIC MARKERS FOR POLYCYSTIC OVARY SYNDROME (PCOS) IN MEDITERRANEAN AREA.

Authors:  Z Douma; C Lautier; S Haydar; T Mahjoub; F Grigorescu
Journal:  Acta Endocrinol (Buchar)       Date:  2019 Jul-Sep       Impact factor: 1.104

9.  Pathway Analysis Based on a Genome-Wide Association Study of Polycystic Ovary Syndrome.

Authors:  Unjin Shim; Han-Na Kim; Hyejin Lee; Jee-Young Oh; Yeon-Ah Sung; Hyung-Lae Kim
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

10.  Three-Dimensional Genome Interactions Identify Potential Adipocyte Metabolism-Associated Gene STON1 and Immune-Correlated Gene FSHR at the rs13405728 Locus in Polycystic Ovary Syndrome.

Authors:  Can-Hui Cao; Ye Wei; Rang Liu; Xin-Ran Lin; Jia-Qi Luo; Qiu-Ju Zhang; Shou-Ren Lin; Lan Geng; Si-Kang Ye; Yu Shi; Xi Xia
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-24       Impact factor: 5.555

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.