Phenome-wide investigation of bidirectional causal relationships between major depressive disorder and common human

Wenxi Sun1, Ancha Baranova2,3, Dongming Liu4,5,6

  • 1Suzhou Guangji Hospital, Suzhou, Jiangsu Province; Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province, China.

Translational Psychiatry
|December 27, 2024
PubMed

Insights

Major depressive disorder (MDD) genetically predisposes individuals to 324 diseases, including psychiatric and respiratory conditions. Other diseases also causally influence MDD risk, with bidirectional links found for 15 conditions.

Area of Science:

  • Genetics
  • Epidemiology
  • Psychiatry

Background:

  • Major depressive disorder (MDD) frequently co-occurs with other health conditions.
  • The precise causal relationships within these comorbid networks are not well understood.

Purpose of the Study:

  • To investigate bidirectional causal associations between MDD and a wide range of common diseases using genetic data.
  • To characterize the genetic liability underlying MDD's role in complex disease networks.

Main Methods:

  • Phenome-wide Mendelian randomization (MR) analyses were conducted on large-scale genetic datasets (FinnGen).
  • Inverse variance weighting was the primary analysis method, with weighted median and MR-Egger used for sensitivity testing.
  • Genetic liability for MDD and 877 common diseases were assessed for causal links.

Main Results:

  • Genetic predisposition to MDD was causally linked to an increased risk of 324 disease phenotypes, notably psychiatric, neurological, and respiratory disorders.
  • Conversely, genetic factors for 51 diseases, including infectious, neurological, and oncological conditions, were associated with MDD risk.
  • Bidirectional causal relationships were identified between MDD and 15 distinct diseases, with MDD's influence being more pronounced.

Conclusions:

  • Genetic liability to MDD plays a significant and extensive causal role in the development of numerous human diseases.
  • The findings highlight the complex interplay between MDD and other conditions, emphasizing MDD's proactive role in disease etiology.
  • This research provides a foundation for understanding MDD's impact on overall health and disease networks.

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