Genome-wide association study identifies eight new risk loci for polycystic ovary syndrome

Zi-Jiang Chen and colleagues report a genome-wide association analysis for polycystic ovary syndrome (PCOS) in Han Chinese. They identify eight new susceptibility loci for PCOS in this population. Following a previous genome-wide association study (GWAS 1) including 744 cases and 895 controls, we an...

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Vydáno v:	Nature genetics Ročník 44; číslo 9; s. 1020 - 1025
Hlavní autoři:	Shi, Yongyong, Zhao, Han, Shi, Yuhua, Cao, Yunxia, Yang, Dongzi, Li, Zhiqiang, Zhang, Bo, Liang, Xiaoyan, Li, Tao, Chen, Jianhua, Shen, Jiawei, Zhao, Junzhao, You, Li, Gao, Xuan, Zhu, Dongyi, Zhao, Xiaoming, Yan, Ying, Qin, Yingying, Li, Wenjin, Yan, Junhao, Wang, Qingzhong, Zhao, Junli, Geng, Ling, Ma, Jinlong, Zhao, Yueran, He, Guang, Zhang, Aiping, Zou, Shuhua, Yang, Aijun, Liu, Jiayin, Li, Weidong, Li, Baojie, Wan, Chunling, Qin, Ying, Shi, Juanzi, Yang, Jing, Jiang, Hong, Xu, Jin-e, Qi, Xiujuan, Sun, Yun, Zhang, Yajie, Hao, Cuifang, Ju, Xiuqing, Zhao, Dongni, Ren, Chun-e, Li, Xiuqing, Zhang, Wei, Zhang, Yiwen, Zhang, Jiangtao, Wu, Di, Zhang, Changming, He, Lin, Chen, Zi-Jiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Nature Publishing Group US 01.09.2012 Nature Publishing Group
Témata:	631/208/205/2138 631/208/2489/144 692/699/2743/1526/1744 Agriculture Animal Genetics and Genomics Apoptosis Asian Continental Ancestry Group - genetics Asian Continental Ancestry Group - statistics & numerical data Biological and medical sciences Biomedicine Cancer Research Case-Control Studies Cell division Cohort Studies Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - ethnology Diabetes Mellitus, Type 2 - genetics Female Female genital diseases Fundamental and applied biological sciences. Psychology Gene Frequency Gene Function Genealogy Genetic aspects Genetic Loci Genetic Predisposition to Disease - ethnology Genetics of eukaryotes. Biological and molecular evolution Genome-Wide Association Study - statistics & numerical data Genomes Genotype Gynecology. Andrology. Obstetrics Health aspects Human Genetics Humans Independent sample Infertility Insulin resistance letter Logistics Medical sciences Meta-Analysis as Topic Metabolic disorders Non tumoral diseases Polycystic ovary syndrome Polycystic Ovary Syndrome - epidemiology Polycystic Ovary Syndrome - ethnology Polycystic Ovary Syndrome - genetics Polymorphism, Single Nucleotide - physiology Proteins Quantitative trait loci R&D Receptors, FSH - genetics Research & development Risk factors Stein-Leventhal syndrome Validation Studies as Topic Women China Ovarian diseases Association Cyst Female sterility Risk Identification Benign neoplasm Polycystic ovary Locus Female genital diseases
ISSN:	1061-4036, 1546-1718, 1546-1718
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Shrnutí:	Zi-Jiang Chen and colleagues report a genome-wide association analysis for polycystic ovary syndrome (PCOS) in Han Chinese. They identify eight new susceptibility loci for PCOS in this population. Following a previous genome-wide association study (GWAS 1) including 744 cases and 895 controls, we analyzed genome-wide association data from a new cohort of Han Chinese (GWAS 2) with 1,510 polycystic ovary syndrome (PCOS) cases and 2,016 controls. We followed up significantly associated signals identified in the combined results of GWAS 1 and 2 in a total of 8,226 cases and 7,578 controls. In addition to confirming the three loci we previously reported, we identify eight new PCOS association signals at P < 5 × 10 −8 : 9q22.32, 11q22.1, 12q13.2, 12q14.3, 16q12.1, 19p13.3, 20q13.2 and a second independent signal at 2p16.3 (the FSHR gene). These PCOS association signals show evidence of enrichment for candidate genes related to insulin signaling, sexual hormone function and type 2 diabetes (T2D). Other candidate genes were related to calcium signaling and endocytosis. Our findings provide new insight and direction for discovering the biological mechanisms of PCOS.
Bibliografie:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	1061-4036 1546-1718 1546-1718
DOI:	10.1038/ng.2384