Causal Relationship between Multiparameter Brain MRI Phenotypes and Age: Evidence from Mendelian Ran
Poster No:
1156
Submission Type:
Abstract Submission
Authors:
Xinghao Wang1, Han Lv2, Zhenchang Wang2
Institutions:
1Beijing Friendship Hospital, Capital Medical University, BEIJING, Beijing, 2Beijing Friendship Hospital, Capital Medical University, Beijing, Beijing
First Author:
Co-Author(s):
Introduction:
To explore the causal relationship between age and brain health related multiparameter imaging features using two-sample Mendelian randomization (MR).
Methods:
Age was determined as chronological age of the subject. Cortical volume, white matter micro-integrity, white matter hyperintensity volume, and cerebral microbleeds of each brain region were included as phenotypes for brain health. Age and imaging of brain health related genetic data were analyzed to determine the causal relationship using inverse-variance weighted model (IVW), validated by heterogeneity and horizontal pleiotropy variables.
Results:
Age is causally related to increased volumes of white matter hyperintensities (IVW, β= 0.151). For white matter micro-integrity, fibers of the inferior cerebellar peduncle (AD β= -0.128, OD β= 0.173), cerebral peduncle (AD β= -0.136), superior fronto-occipital fasciculus (ISOVF β= 0.163) and fibers within the limbic system were causally deteriorated. We also detected decreased cortical thickness of multiple frontal and temporal regions (IVW, p<0.05). Microbleeds were not related with aging (IVW, p＞0.05).
Conclusions:
Aging is a threaten of brain health, leading to cortical atrophy mainly in the frontal lobes, as well as the white matter degeneration especially abnormal hyperintensity and deteriorated white matter integrity around the hippocampus.
Genetics:
Genetic Modeling and Analysis Methods 2
Lifespan Development:
Aging 1
Neuroinformatics and Data Sharing:
Informatics Other
Keywords:
Aging
Data Organization
Informatics
MRI
1|2Indicates the priority used for review
Provide references using author date format
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