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Volumn 14, Issue 4, 2016, Pages 439-452

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer’s Disease

Author keywords

Alzheimer s disease; Diagnosis guided; Multimodal intermediate phenotypes; Single nucleotide polymorphisms (SNPs)

Indexed keywords

APOE PROTEIN, HUMAN; APOLIPOPROTEIN E; BIOLOGICAL MARKER;

EID: 84973659671     PISSN: 15392791     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12021-016-9307-8     Document Type: Article
Times cited : (30)

References (48)
  • 1
    • 84882465818 scopus 로고    scopus 로고
    • Voxel-based morphometry. statistical parametric mapping: The analysis of functional brain images
    • Ashburner, J., & Friston, K. (2007). Voxel-based morphometry. statistical parametric mapping: The analysis of functional brain images, 92–98.
    • (2007) 92–98
    • Ashburner, J.1    Friston, K.2
  • 4
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • Beck, A., & Teboulle, M. (2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2, 183–202.
    • (2009) SIAM Journal on Imaging Sciences , vol.2 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 5
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., & Niyogi, P. (2003). Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15, 1373–1396.
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 6
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: a geometric framework for learning from labeled and unlabeled examples
    • Belkin, M., Niyogi, P., & Sindhwani, V. (2006). Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7, 2399–2434.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 10
    • 77951173993 scopus 로고    scopus 로고
    • Accelerated gradient method for multi-task sparse learning problem. 2009 9th Ieee International Conference on Data Mining
    • Chen, X., Pan, W. K., Kwok, J. T., Carbonell, J. G. (2009). Accelerated gradient method for multi-task sparse learning problem. 2009 9th Ieee International Conference on Data Mining, 746–751.
    • (2009) 746–751
    • Chen, X.1    Pan, W.K.2    Kwok, J.T.3    Carbonell, J.G.4
  • 11
    • 85015122121 scopus 로고    scopus 로고
    • Applied regression analysis. Bibliography update 2000–2001
    • Draper, N. R. (2002). Applied regression analysis. Bibliography update 2000–2001. Communications in Statistics Theory and Methods, 31, 2051–2075.
    • (2002) Communications in Statistics Theory and Methods , vol.31 , pp. 2051-2075
    • Draper, N.R.1
  • 12
    • 84876007072 scopus 로고    scopus 로고
    • Power and predictive accuracy of polygenic risk scores
    • COI: 1:CAS:528:DC%2BC3sXlvValtLY%3D, PID: 23555274
    • Dudbridge, F. (2013). Power and predictive accuracy of polygenic risk scores. PLoS Genetics, 9, e1003348.
    • (2013) PLoS Genetics , vol.9
    • Dudbridge, F.1
  • 14
    • 84865483187 scopus 로고    scopus 로고
    • Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures
    • PID: 22800732
    • Ge, T., Feng, J., Hibar, D. P., Thompson, P. M., & Nichols, T. E. (2012). Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures. NeuroImage, 63, 858–873.
    • (2012) NeuroImage , vol.63 , pp. 858-873
    • Ge, T.1    Feng, J.2    Hibar, D.P.3    Thompson, P.M.4    Nichols, T.E.5
  • 15
    • 34249802062 scopus 로고    scopus 로고
    • Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function
    • Glahn, D. C., Thompson, P. M., & Blangero, J. (2007). Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function. Human Brain Mapping, 28, 488–501.
    • (2007) Human Brain Mapping , vol.28 , pp. 488-501
    • Glahn, D.C.1    Thompson, P.M.2    Blangero, J.3
  • 16
    • 0038823525 scopus 로고    scopus 로고
    • The endophenotype concept in psychiatry: etymology and strategic intentions
    • PID: 12668349
    • Gottesman, I. I., & Gould, T. D. (2003). The endophenotype concept in psychiatry: etymology and strategic intentions. American Journal of Psychiatry, 160, 636–645.
    • (2003) American Journal of Psychiatry , vol.160 , pp. 636-645
    • Gottesman, I.I.1    Gould, T.D.2
  • 17
    • 84868215748 scopus 로고    scopus 로고
    • Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease
    • PID: 23041336
    • Gray, K. R., Aljabar, P., Heckemann, R. A., Hammers, A., & Rueckert, D. (2013). Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease. NeuroImage, 65, 167–175.
    • (2013) NeuroImage , vol.65 , pp. 167-175
    • Gray, K.R.1    Aljabar, P.2    Heckemann, R.A.3    Hammers, A.4    Rueckert, D.5
  • 18
    • 85012231776 scopus 로고    scopus 로고
    • Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in alzheimer’s disease
    • PID: 26776178
    • Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Zhang, D., & Shen, L. I. (2016). Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in alzheimer’s disease. Pacific Symposium on Biocomputing, 21, 108–119.
    • (2016) Pacific Symposium on Biocomputing , vol.21 , pp. 108-119
    • Hao, X.1    Yan, J.2    Yao, X.3    Risacher, S.L.4    Saykin, A.J.5    Zhang, D.6    Shen, L.I.7
  • 20
    • 84922322664 scopus 로고    scopus 로고
    • Manifold regularized multitask feature learning for multimodality disease classification
    • PID: 25277605
    • Jie, B., Zhang, D., Cheng, B., & Shen, D. (2015). Manifold regularized multitask feature learning for multimodality disease classification. Human Brain Mapping, 36, 489–507.
    • (2015) Human Brain Mapping , vol.36 , pp. 489-507
    • Jie, B.1    Zhang, D.2    Cheng, B.3    Shen, D.4
  • 21
    • 84866491087 scopus 로고    scopus 로고
    • Discovery and replication of gene influences on brain structure using LASSO regression
    • Kohannim, O., Hibar, D. P., Stein, J. L., Jahanshad, Hua, N., Rajagopalan, X., Toga, P., Jack, A. W., Weiner, C. R., de Zubicaray, M. W., McMahon, G. I., Hansell, K. L., Martin, N. K., Wright, N. G., Thompson, M. J., Initia, P. M., A.D.N. (2012). Discovery and replication of gene influences on brain structure using LASSO regression. Frontiers in Neuroscience 6.
    • (2012) Frontiers in Neuroscience , pp. 6
    • Kohannim, O.1    Hibar, D.P.2    Stein, J.L.3    Jahanshad, H.4
  • 22
    • 80055032491 scopus 로고    scopus 로고
    • Kohannim, O., Hibar, D. P., Stein, J. L., Jahanshad, N., Jack, C. R., Weiner, M. W., Toga, A. W., Thompson, P. M., Initi, A.S.D.N. (2011). boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression. 2011 8th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, 1855–1859.
    • Kohannim, O., Hibar, D. P., Stein, J. L., Jahanshad, N., Jack, C. R., Weiner, M. W., Toga, A. W., Thompson, P. M., Initi, A.S.D.N. (2011). boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression. 2011 8th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, 1855–1859.
  • 24
    • 84862778147 scopus 로고    scopus 로고
    • Ensemble sparse classification of Alzheimer’s disease
    • PID: 22270352
    • Liu, M., Zhang, D., & Shen, D. (2012). Ensemble sparse classification of Alzheimer’s disease. NeuroImage, 60, 1106–1116.
    • (2012) NeuroImage , vol.60 , pp. 1106-1116
    • Liu, M.1    Zhang, D.2    Shen, D.3
  • 26
    • 0034575124 scopus 로고    scopus 로고
    • Apolipoprotein E: far more than a lipid transport protein
    • COI: 1:CAS:528:DC%2BD3cXnsVarsrY%3D
    • Mahley, R. W., & Rall, S. C., Jr. (2000). Apolipoprotein E: far more than a lipid transport protein. Annual Review of Genomics and Human Genetics, 1, 507–537.
    • (2000) Annual Review of Genomics and Human Genetics , vol.1 , pp. 507-537
    • Mahley, R.W.1    Rall, S.C.2
  • 27
    • 45349086187 scopus 로고    scopus 로고
    • Systems biology in the study of neurological disorders: focus on Alzheimer’s disease
    • PID: 23584752
    • Pasinetti, G. M., & Hiller-Sturmhofel, S. (2008). Systems biology in the study of neurological disorders: focus on Alzheimer’s disease. Alcohol Research and Health, 31, 60–65.
    • (2008) Alcohol Research and Health , vol.31 , pp. 60-65
    • Pasinetti, G.M.1    Hiller-Sturmhofel, S.2
  • 28
    • 68449101567 scopus 로고    scopus 로고
    • Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: methodological considerations
    • Potkin, S. G., Turner, J. A., Guffanti, G., Lakatos, A., Torri, F., Keator, D. B., & Macciardi, F. (2009). Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: methodological considerations. Cognitive Neuropsychiatry, 14, 391–418.
    • (2009) Cognitive Neuropsychiatry , vol.14 , pp. 391-418
    • Potkin, S.G.1    Turner, J.A.2    Guffanti, G.3    Lakatos, A.4    Torri, F.5    Keator, D.B.6    Macciardi, F.7
  • 30
    • 0029970342 scopus 로고    scopus 로고
    • Preclinical evidence of Alzheimer’s disease in persons homozygous for the epsilon 4 allele for apolipoprotein E
    • COI: 1:STN:280:DyaK287nt1yltw%3D%3D, PID: 8592548
    • Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996). Preclinical evidence of Alzheimer’s disease in persons homozygous for the epsilon 4 allele for apolipoprotein E. The New England Journal of Medicine, 334, 752–758.
    • (1996) The New England Journal of Medicine , vol.334 , pp. 752-758
    • Reiman, E.M.1    Caselli, R.J.2    Yun, L.S.3    Chen, K.4    Bandy, D.5    Minoshima, S.6    Thibodeau, S.N.7    Osborne, D.8
  • 32
    • 84867307852 scopus 로고    scopus 로고
    • The association between a polygenic alzheimer score and cortical thickness in clinically normal subjects
    • PID: 22169231
    • Sabuncu, M. R., Buckner, R. L., Smoller, J. W., Lee, P. H., Fischl, B., Sperling, R. A., & Neuroimaging, A.s.D. (2012). The association between a polygenic alzheimer score and cortical thickness in clinically normal subjects. Cerebral Cortex, 22, 2653–2661.
    • (2012) Cerebral Cortex , vol.22 , pp. 2653-2661
    • Sabuncu, M.R.1    Buckner, R.L.2    Smoller, J.W.3    Lee, P.H.4    Fischl, B.5    Sperling, R.A.6    Neuroimaging, A.S.D.7
  • 35
    • 0036322886 scopus 로고    scopus 로고
    • Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
    • COI: 1:STN:280:DC%2BD38%2FltFCntw%3D%3D, PID: 11771995
    • Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage, 15, 273–289.
    • (2002) NeuroImage , vol.15 , pp. 273-289
    • Tzourio-Mazoyer, N.1    Landeau, B.2    Papathanassiou, D.3    Crivello, F.4    Etard, O.5    Delcroix, N.6    Mazoyer, B.7    Joliot, M.8
  • 36
    • 84856108049 scopus 로고    scopus 로고
    • Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer’s disease
    • PID: 22209813
    • Vounou, M., Janousova, E., Wolz, R., Stein, J. L., Thompson, P. M., Rueckert, D., Montana, G., & Initia, A. D. N. (2012). Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer’s disease. NeuroImage, 60, 700–716.
    • (2012) NeuroImage , vol.60 , pp. 700-716
    • Vounou, M.1    Janousova, E.2    Wolz, R.3    Stein, J.L.4    Thompson, P.M.5    Rueckert, D.6    Montana, G.7    Initia, A.D.N.8
  • 37
    • 77956215911 scopus 로고    scopus 로고
    • Discovering genetic associations with high-dimensional neuroimaging phenotypes: a sparse reduced-rank regression approach
    • Vounou, M., Nichols, T. E., & Montana, G. (2010). Discovering genetic associations with high-dimensional neuroimaging phenotypes: a sparse reduced-rank regression approach. NeuroImage, 53, 1147–1159.
    • (2010) NeuroImage , vol.53 , pp. 1147-1159
    • Vounou, M.1    Nichols, T.E.2    Montana, G.3
  • 38
    • 84866458870 scopus 로고    scopus 로고
    • From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer’s disease relevant SNPs
    • COI: 1:CAS:528:DC%2BC38Xhtlantb%2FF, PID: 22962490
    • Wang, H., Nie, F., Huang, H., Yan, J., Kim, S., Nho, K., Risacher, S. L., Saykin, A. J., & Shen, L. (2012a). From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer’s disease relevant SNPs. Bioinformatics, 28, i619–i625.
    • (2012) Bioinformatics , vol.28 , pp. i619-i625
    • Wang, H.1    Nie, F.2    Huang, H.3    Yan, J.4    Kim, S.5    Nho, K.6    Risacher, S.L.7    Saykin, A.J.8    Shen, L.9
  • 39
    • 84862970066 scopus 로고    scopus 로고
    • Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort
    • PID: 22155867
    • Wang, H., Nie, F. P., Huang, H., Kim, S., Nho, K., Risacher, S. L., Saykin, A. J., Shen, L., & Initi, A.s.D.N. (2012b). Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinformatics, 28, 229–237.
    • (2012) Bioinformatics , vol.28 , pp. 229-237
    • Wang, H.1    Nie, F.P.2    Huang, H.3    Kim, S.4    Nho, K.5    Risacher, S.L.6    Saykin, A.J.7    Shen, L.8    Initi, A.S.D.9
  • 41
    • 84901263040 scopus 로고    scopus 로고
    • Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals
    • Yu, G., Liu, Y., Thung, K. H., Shen, D. (2014). Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals. PLoS One 9.
    • (2014) PLoS One , pp. 9
    • Yu, G.1    Liu, Y.2    Thung, K.H.3    Shen, D.4
  • 43
    • 83055184373 scopus 로고    scopus 로고
    • Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer’s disease
    • PID: 21992749
    • Zhang, D., & Shen, D. (2012). Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer’s disease. NeuroImage, 59, 895–907.
    • (2012) NeuroImage , vol.59 , pp. 895-907
    • Zhang, D.1    Shen, D.2
  • 44
    • 79952073234 scopus 로고    scopus 로고
    • Multimodal classification of Alzheimer’s disease and mild cognitive impairment
    • PID: 21236349
    • Zhang, D., Wang, Y., Zhou, L., Yuan, H., & Shen, D. (2011). Multimodal classification of Alzheimer’s disease and mild cognitive impairment. NeuroImage, 55, 856–867.
    • (2011) NeuroImage , vol.55 , pp. 856-867
    • Zhang, D.1    Wang, Y.2    Zhou, L.3    Yuan, H.4    Shen, D.5
  • 45
    • 84906975457 scopus 로고    scopus 로고
    • A novel multi-relation regularization method for regression and classification in AD diagnosis
    • Zhu, X., Suk, H. I., & Shen, D. (2014a). A novel multi-relation regularization method for regression and classification in AD diagnosis. Medical Image Computing and Comput-Assisted Intervention, 17, 401–408.
    • (2014) Medical Image Computing and Comput-Assisted Intervention , vol.17 , pp. 401-408
    • Zhu, X.1    Suk, H.I.2    Shen, D.3
  • 46
    • 84984890465 scopus 로고    scopus 로고
    • Shen, D: A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Analysis
    • Zhu, X., Suk, H. I., Wang, L., Lee, S. W., Shen, D. (2015). A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Analysis.
    • (2015)
    • Zhu, X.1    Suk, H.I.2    Wang, L.3    Lee, S.4
  • 47
    • 84866033003 scopus 로고    scopus 로고
    • Self-taught dimensionality reduction on the high-dimensional small-sized data
    • Zhu, X. F., Huang, Z., Yang, Y., Shen, H. T., Xu, C. S., & Luo, J. B. (2013). Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recognition, 46, 215–229.
    • (2013) Pattern Recognition , vol.46 , pp. 215-229
    • Zhu, X.F.1    Huang, Z.2    Yang, Y.3    Shen, H.T.4    Xu, C.S.5    Luo, J.B.6
  • 48
    • 84903899707 scopus 로고    scopus 로고
    • A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis
    • PID: 24911377
    • Zhu, X. F., Suk, H. I., & Shen, D. (2014b). A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. NeuroImage, 100, 91–105.
    • (2014) NeuroImage , vol.100 , pp. 91-105
    • Zhu, X.F.1    Suk, H.I.2    Shen, D.3


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