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Imaging phenotype-based whole genome association analysis method, medium and equipment

A technology of association analysis and whole genome, applied in the field of computer medicine, can solve problems such as insufficient accuracy

Active Publication Date: 2021-09-10
SHANGHAI UNIV OF MEDICINE & HEALTH SCI
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  • Abstract
  • Description
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Problems solved by technology

[0004] At present, there are still deficiencies in GWAS research on AD at home and abroad. The selection of imaging phenotypes is still mostly focused on the changes in the gray matter cortex of the brain, and the accuracy is not enough.

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  • Imaging phenotype-based whole genome association analysis method, medium and equipment
  • Imaging phenotype-based whole genome association analysis method, medium and equipment
  • Imaging phenotype-based whole genome association analysis method, medium and equipment

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0033] Such as figure 1 As shown, this embodiment provides a method for genome-wide association analysis based on imaging phenotypes, comprising the following steps:

[0034] Obtain a multimodal magnetic resonance image of the brain, preprocess the multimodal magnetic resonance image, obtain relevant cortical features and white matter fiber tract diffusion features, and form an imaging phenotype file;

[0035] Obtaining raw genetic data corresponding to the multimodal magnetic resonance image, and screening the raw genetic data to obtain valid genetic data and form a genetic file;

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Abstract

The invention relates to an imaging phenotype-based whole genome association analysis method, a medium and equipment. The method comprises the following steps: acquiring a multi-modal magnetic resonance image of a brain; preprocessing the multi-modal magnetic resonance image to obtain related cortex features and white matter fiber bundle dispersion features, and forming an imaging phenotype file; acquiring original gene data corresponding to the multi-modal magnetic resonance image, and screening the original gene data to obtain effective gene data and form a gene file; performing correlation analysis based on the imaging phenotype file and the gene file by adopting an additive genetic regression model to obtain a correlation result; and carrying out visualization processing on the association result. Compared with the prior art, the method has the advantages of high analysis accuracy and the like.

Description

technical field [0001] The invention relates to the technical field of computer medicine, and relates to an image processing method, in particular to a whole-genome association analysis method, medium and equipment based on imaging phenotypes. Background technique [0002] Alzheimer's disease (Alzheimer's Disease, AD) is a progressive neurodegenerative disease of unknown etiology, and it is also the most common type of dementia, accounting for about 50%-70% of all dementia patients. There is no effective drug to cure or change its pathological process. In recent years, its incidence rate has shown a significant increase trend, which has brought serious problems to society and families. At present, the number of AD patients in the world has reached more than 20 million, and it is estimated that by 2050, the number of dementia patients in the world will reach 131.5 million. [0003] Studies have confirmed that AD is a highly hereditary disease. The emerging technology of ima...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G06F17/18
CPCG16H30/20G06F17/18Y02A90/10
Inventor 姚旭峰吕玉婷韩立婷任哲
Owner SHANGHAI UNIV OF MEDICINE & HEALTH SCI
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