The journal of obstetrics and gynaecology research

Possible two-way links between sleep patterns and polycystic ovary syndrome using genetic analysis

Updated

Abstract

Essence

Genetic evidence suggests sleeplessness or insomnia may increase risk, while the sleep apnea signal weakened after adjustment.

Evidence

This univariable, bidirectional, and multivariable study analyzed GWAS summary statistics for eight self-reported sleep traits and PCOS risk.

Caveat

The sleep traits were genetically proxied from self-reported measures, and the sleep apnea association was attenuated after adjustment for adiposity and insulin resistance.

Simplified

Key numbers

1.67
Increase in risk
Odds Ratio for sleeplessness/insomnia associated with risk
1.07
Association with sleep apnea syndrome
Odds Ratio for sleep apnea syndrome associated with risk
254618
Sample size for GWAS
Total participants in the GWAS analysis

Full Text

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