Coronary artery disease shares genetic links with thinking
A genetic analysis identified 112 DNA regions linked to both coronary artery disease and traits related to thinking or education.
Our read
Mechanisms- Studied:
- Mendelian randomization in people
- What changed:
- Genetically predicted executive function was linked to lower odds of coronary artery disease (OR = 0.63, 95% CI 0.49-0.81)
- The catch:
- Genetic analyses did not test whether improving thinking skills lowers coronary disease risk
- Why it’s aging research:
- It bears on staying healthy in midlife and later life.
Editor of record: Boris Djordjevic · AgingResearch.News
Human genetic data were examined in an observational analysis of coronary artery disease, which affects the heart’s blood vessels, and traits related to thinking and education. Mendelian randomization, a method using inherited genetic differences, linked genetically predicted executive function—skills for planning and managing tasks—to lower odds of coronary disease.
Analyses combining genetic findings with profiles of individual cells pointed to cells supporting brain blood vessels, brain immune cells and blood-forming cells. In the All of Us cohort of 126,672 people, education-related genetic scores improved coronary disease prediction beyond a score based on coronary disease genetics alone. The authors proposed that inherited traits involved in regulating thought and behavior influence disease susceptibility through brain and blood-forming pathways.
Why it matters
Coronary artery disease is associated with cognitive problems. Investigating shared inherited influences may help researchers understand the biology connecting heart and brain health.
Caveats
The genetic analyses did not test whether improving thinking skills lowers coronary disease risk. The proposed pathways come from a conference abstract reporting genetic and cell-profile analyses, not interventions in people.
The paper
Yale University
AHA Scientific Sessions 2026 Abstract, Nov 2, 2026
Presented at AHA Scientific Sessions 2026, abstract 17588
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