Familial coaggregation and shared genetic loading of mental disorders and cardiovascular diseases

Pei-Chun Chen1, Yi-Jiun Pan2, Mei-Chen Lin1

  • 1National Center for Geriatrics and Welfare Research, https://ror.org/02r6fpx29National Health Research Institutes, Zhunan, Taiwan.

Insights

Mental and cardiovascular diseases show familial links, suggesting shared genetic risks. This highlights the need for family-based screening and prevention strategies for conditions like major depressive disorder (MDD) and heart disease.

Area of Science:

  • Genetics and Public Health
  • Psychiatry and Cardiology

Background:

  • High comorbidity between mental and cardiovascular diseases is recognized, but mechanisms remain unclear.
  • Investigating familial coaggregation and shared genetic factors is crucial for understanding these links.

Purpose of the Study:

  • To examine familial coaggregation between severe mental illnesses and cardiovascular diseases.
  • To assess shared genetic loading using polygenic risk scores (PRSs) for major depressive disorder (MDD).

Main Methods:

  • Utilized Taiwan's universal health insurance claims data for large cohorts with parental and sibling information.
  • Employed logistic regression to analyze associations between family history, PRSs for severe mental illnesses, and cardiovascular disease risk.
  • Included genotyping data from the Taiwan Biobank for PRS analysis.

Main Results:

  • Parental history of schizophrenia, bipolar disorder, or MDD increased risks for stroke and peripheral arterial disease (PAD).
  • Observed familial coaggregation for MDD with myocardial infarction/heart failure, bipolar disorder with stroke, and schizophrenia with PAD.
  • MDD PRS positively correlated with myocardial infarction and PAD risk, with increased risk linked to more affected relatives.

Conclusions:

  • Demonstrated familial coaggregation between mental and cardiovascular diseases.
  • Identified shared polygenic liability between MDD and cardiovascular diseases.
  • Suggested family-based integrated screening and prevention for improved outcomes.
Abstract

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