Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease

Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew Saykin, Daoqiang Zhang, Li Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Many recent imaging genetic studies focus on detecting the associations between genetic markers such as single nucleotide polymorphisms (SNPs) and quantitative traits (QTs). Although there exist a large number of generalized multivariate regression analysis methods, few of them have used diagnosis information in subjects to enhance the analysis performance. In addition, few of models have investigated the identification of multi-modality phenotypic patterns associated with interesting genotype groups in traditional methods. To reveal disease-relevant imaging genetic associations, we propose a novel diagnosis-guided multi-modality (DGMM) framework to discover multi-modality imaging QTs that are associated with both Alzheimer’s disease (AD) and its top genetic risk factor (i.e., APOE SNP rs429358). The strength of our proposed method is that it explicitly models the priori diagnosis information among subjects in the objective function for selecting the disease-relevant and robust multi-modality QTs associated with the SNP. We evaluate our method on two modalities of imaging phenotypes, i.e., those extracted from structural magnetic resonance imaging (MRI) data and fluorodeoxyglucose positron emission tomography (FDG-PET) data in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The experimental results demonstrate that our proposed method not only achieves better performances under the metrics of root mean squared error and correlation coefficient but also can identify common informative regions of interests (ROIs) across multiple modalities to guide the disease-induced biological interpretation, compared with other reference methods.

Original languageEnglish (US)
Title of host publicationPacific Symposium on Biocomputing 2016, PSB 2016
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages108-119
Number of pages12
StatePublished - 2016
Event21st Pacific Symposium on Biocomputing, PSB 2016 - Big Island, United States
Duration: Jan 4 2016Jan 8 2016

Other

Other21st Pacific Symposium on Biocomputing, PSB 2016
CountryUnited States
CityBig Island
Period1/4/161/8/16

Fingerprint

Neuroimaging
Biomarkers
Imaging techniques
Nucleotides
Polymorphism
Positron emission tomography
Magnetic resonance
Regression analysis
Identification (control systems)

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Biomedical Engineering

Cite this

Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Zhang, D., & Shen, L. (2016). Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease. In Pacific Symposium on Biocomputing 2016, PSB 2016 (pp. 108-119). World Scientific Publishing Co. Pte Ltd.

Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease. / Hao, Xiaoke; Yan, Jingwen; Yao, Xiaohui; Risacher, Shannon L.; Saykin, Andrew; Zhang, Daoqiang; Shen, Li.

Pacific Symposium on Biocomputing 2016, PSB 2016. World Scientific Publishing Co. Pte Ltd, 2016. p. 108-119.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hao, X, Yan, J, Yao, X, Risacher, SL, Saykin, A, Zhang, D & Shen, L 2016, Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease. in Pacific Symposium on Biocomputing 2016, PSB 2016. World Scientific Publishing Co. Pte Ltd, pp. 108-119, 21st Pacific Symposium on Biocomputing, PSB 2016, Big Island, United States, 1/4/16.
Hao X, Yan J, Yao X, Risacher SL, Saykin A, Zhang D et al. Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease. In Pacific Symposium on Biocomputing 2016, PSB 2016. World Scientific Publishing Co. Pte Ltd. 2016. p. 108-119
Hao, Xiaoke ; Yan, Jingwen ; Yao, Xiaohui ; Risacher, Shannon L. ; Saykin, Andrew ; Zhang, Daoqiang ; Shen, Li. / Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease. Pacific Symposium on Biocomputing 2016, PSB 2016. World Scientific Publishing Co. Pte Ltd, 2016. pp. 108-119
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