Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count


Journal article


J. Sealock, Younga H. Lee, A. Moscati, S. Venkatesh, G. Voloudakis, P. Straub, Kritika Singh, Y. Feng, T. Ge, P. Roussos, J. Smoller, Guanhua Chen, L. Davis
JAMA psychiatry, 2021

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APA   Click to copy
Sealock, J., Lee, Y. H., Moscati, A., Venkatesh, S., Voloudakis, G., Straub, P., … Davis, L. (2021). Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count. JAMA Psychiatry.


Chicago/Turabian   Click to copy
Sealock, J., Younga H. Lee, A. Moscati, S. Venkatesh, G. Voloudakis, P. Straub, Kritika Singh, et al. “Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count.” JAMA psychiatry (2021).


MLA   Click to copy
Sealock, J., et al. “Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count.” JAMA Psychiatry, 2021.


BibTeX   Click to copy

@article{j2021a,
  title = {Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count},
  year = {2021},
  journal = {JAMA psychiatry},
  author = {Sealock, J. and Lee, Younga H. and Moscati, A. and Venkatesh, S. and Voloudakis, G. and Straub, P. and Singh, Kritika and Feng, Y. and Ge, T. and Roussos, P. and Smoller, J. and Chen, Guanhua and Davis, L.}
}

Abstract

Key Points Question Are genes that increase predisposition to depression associated with increased inflammatory biomarkers, specifically white blood cell count? Findings In this genetic association study of 382 485 participants, an association was noted between depression polygenic scores and white blood cell count across 4 independent biobanks. Mediation analyses suggest a bidirectional association between white blood cell count and depression diagnosis and implicate neutrophils as the main driver of the association. Meaning These findings suggest that genes associated with depression (rather than only the clinical presentation of depressive symptoms) may be implicated in the proinflammatory state observed in clinical depression; this outcome may motivate future development of targeted biomarker panels and treatments.


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