Cross-Ethnic Meta-Analysis of Genetic Variants for Polycystic Ovary Syndrome | Zendy

Yvonne V. Louwers | Zendy; Lisette Stolk | Zendy; André G. Uitterlinden | Zendy; Joop S.E. Laven | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Cross-Ethnic Meta-Analysis of Genetic Variants for Polycystic Ovary Syndrome

Author(s) -

Yvonne V. Louwers,

Lisette Stolk,

André G. Uitterlinden,

Joop S.E. Laven

Publication year - 2013

Publication title -

the journal of clinical endocrinology and metabolism

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.206

H-Index - 353

eISSN - 1945-7197

pISSN - 0021-972X

DOI - 10.1210/jc.2013-2495

Subject(s) - polycystic ovary , ethnic group , genome wide association study , medicine , context (archaeology) , value (mathematics) , meta analysis , demography , gynecology , genetics , oncology , biology , single nucleotide polymorphism , genotype , gene , insulin resistance , obesity , sociology , anthropology , paleontology , machine learning , computer science

Genome-wide association studies (GWAS) have revealed new susceptibility loci for Chinese patients with polycystic ovary syndrome (PCOS). Because ethnic background adds to phenotypic diversities in PCOS, it seems plausible that genetic variants associated with PCOS act differently in various ethnic populations.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research