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

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...

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Vydané v:Science (American Association for the Advancement of Science) Ročník 380; číslo 6648; s. abn6598
Hlavní autori: Zhao, Bingxin, Li, Tengfei, Fan, Zirui, Yang, Yue, Shu, Juan, Yang, Xiaochen, Wang, Xifeng, Luo, Tianyou, Tang, Jiarui, Xiong, Di, Wu, Zhenyi, Li, Bingxuan, Chen, Jie, Shan, Yue, Tomlinson, Chalmer, Zhu, Ziliang, Li, Yun, Stein, Jason L, Zhu, Hongtu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 02.06.2023
Predmet:
Brain - diagnostic imaging
Brain - pathology
Brain Diseases - genetics
Cardiovascular Diseases - genetics
Genetic Loci
Genetic Predisposition to Disease
Gray Matter - diagnostic imaging
Heart - diagnostic imaging
Humans
Magnetic Resonance Imaging
White Matter - diagnostic imaging
ISSN:1095-9203, 1095-9203
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Popis
Shrnutí: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 ( < 6.09 × 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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1095-9203
1095-9203
DOI:10.1126/science.abn6598