Note: This study found no significant biological effects under its experimental conditions. We include all studies for scientific completeness.
Whole Body / General836 citations
Zhang Y, Liu X, Zhang J, Li N
No Effects Found
Authors not listed · 2015
Genetic variants near SIRT1 increase depression risk, potentially explaining individual differences in EMF sensitivity.
Plain English Summary
Summary written for general audiences
This 2015 genetic study analyzed DNA from over 10,000 Chinese women to identify genes linked to major depression. Researchers found two specific genetic locations on chromosome 10 that increase depression risk, including one near the SIRT1 gene. This represents the first robust genetic findings for depression after years of failed attempts.
Cite This Study
Unknown (2015). Zhang Y, Liu X, Zhang J, Li N.
Show BibTeX
@article{zhang_y_liu_x_zhang_j_li_n_ce4611,
author = {Unknown},
title = {Zhang Y, Liu X, Zhang J, Li N},
year = {2015},
doi = {10.1038/nature14659},
}Quick Questions About This Study
This study identified two chromosome 10 locations that increase depression risk, particularly variants near the SIRT1 gene. These genetic differences may explain why some people develop depression while others don't under similar circumstances.
Earlier studies analyzed fewer than 9,000 cases with mixed depression types. This study succeeded by focusing on 5,303 women with severe, recurrent depression, creating a more genetically uniform group for analysis.
SIRT1 regulates cellular stress responses and energy metabolism. Variants near this gene showed the strongest association with severe depression (melancholia), suggesting it plays a key role in mood regulation mechanisms.
The SIRT1 location showed statistical significance of P = 2.53 × 10−10, while the LHPP gene site reached P = 6.45 × 10−12. These extremely low p-values indicate very strong genetic associations.
Studying a genetically homogeneous population reduces background genetic noise, making it easier to identify disease-causing variants. The researchers also selected women with similar severe depression symptoms to minimize clinical variation.