Identifying Genes Linked to Polycystic Ovary Syndrome
Author Information
Author(s): Michelle R. Jones, Angela Chua, Yii-Der I. Chen, Xiaohui Li, Ronald M. Krauss, Jerome I. Rotter, Richard S. Legro, Ricardo Azziz, Mark O. Goodarzi
Primary Institution: Cedars-Sinai Medical Center
Hypothesis
Can gene expression studies help identify novel candidate genes for polycystic ovary syndrome (PCOS)?
Conclusion
The study suggests that genetic variation in the DKK1 and DNAJB1 genes may influence the metabolic and androgenic dysfunctions associated with PCOS.
Supporting Evidence
- The study genotyped 335 PCOS cases and 198 controls in a discovery cohort.
- A replication cohort included 396 PCOS cases and 306 controls.
- No single nucleotide polymorphisms were associated with PCOS risk, but certain SNPs were linked to increased testosterone and insulin levels.
Takeaway
Researchers looked at genes to find out why some women have polycystic ovary syndrome, a condition that can cause problems like high testosterone and insulin resistance.
Methodology
The study involved genotyping SNPs in two cohorts of PCOS patients and healthy controls to assess associations with PCOS and related traits.
Potential Biases
Potential bias in candidate gene selection due to reliance on previous expression studies.
Limitations
The study's findings may not be generalizable due to the specific ethnic background of the cohorts.
Participant Demographics
The study included unrelated White women with PCOS and healthy controls.
Statistical Information
P-Value
0.0035 for DKK1 SNP rs1569198 and 0.003 for DNAJB1 SNP rs3962158
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website