Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images

Author:

Zhao Bingxin12ORCID,Li Tengfei34ORCID,Fan Zirui12,Yang Yue5ORCID,Shu Juan2,Yang Xiaochen2,Wang Xifeng5ORCID,Luo Tianyou5,Tang Jiarui5,Xiong Di5,Wu Zhenyi2ORCID,Li Bingxuan6ORCID,Chen Jie5,Shan Yue5,Tomlinson Chalmer5ORCID,Zhu Ziliang5,Li Yun57ORCID,Stein Jason L.78ORCID,Zhu Hongtu457910ORCID

Affiliation:

1. Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.

2. Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.

3. Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

4. Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

5. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

6. Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.

7. Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

8. UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

9. Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

10. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Abstract

Cardiovascular health interacts with cognitive and mental health in complex ways, yet little is known about the phenotypic and genetic links of heart-brain systems. We quantified heart-brain connections using multiorgan magnetic resonance imaging (MRI) data from more than 40,000 subjects. Heart MRI traits displayed numerous association patterns with brain gray matter morphometry, white matter microstructure, and functional networks. We identified 80 associated genomic loci ( P < 6.09 × 10 −10 ) for heart MRI traits, which shared genetic influences with cardiovascular and brain diseases. Genetic correlations were observed between heart MRI traits and brain-related traits and disorders. Mendelian randomization suggests that heart conditions may causally contribute to brain disorders. Our results advance a multiorgan perspective on human health by revealing heart-brain connections and shared genetic influences.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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