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Alzheimer's disease genetic risk variants beyond .

Alzheimer's & dementia (Amsterdam, Netherlands)

Mez J, Marden JR, Mukherjee S, Walter S, Gibbons LE, Gross AL, Zahodne LB, Gilsanz P, Brewster P, Nho K, Crane PK, Larson EB, Glymour MM.
PMID: 28983503
Alzheimers Dement (Amst). 2017 Aug 14;8:188-195. doi: 10.1016/j.dadm.2017.07.002. eCollection 2017.

INTRODUCTION: We hypothesized that, like apolipoprotein E (METHODS: We used a weighted genetic risk score (GRS) from 21 non-RESULTS: Higher GRS predicted mortality (hazard ratio = 1.05; 95% confidence interval: 1.00-1.10, DISCUSSION: Non-

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Mez J, Marden JR, Mukherjee S, et al. Alzheimer's disease genetic risk variants beyond . Alzheimers Dement (Amst). 2017;8:188-195doi: 10.1016/j.dadm.2017.07.002.
Mez, J., Marden, J. R., Mukherjee, S., Walter, S., Gibbons, L. E., Gross, A. L., Zahodne, L. B., Gilsanz, P., Brewster, P., Nho, K., Crane, P. K., Larson, E. B., & Glymour, M. M. (2017). Alzheimer's disease genetic risk variants beyond . Alzheimer's & dementia (Amsterdam, Netherlands), 8188-195. https://doi.org/10.1016/j.dadm.2017.07.002
Mez, Jesse, et al. "Alzheimer's disease genetic risk variants beyond ." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 8 (2017): 188-195. doi: https://doi.org/10.1016/j.dadm.2017.07.002
Mez J, Marden JR, Mukherjee S, Walter S, Gibbons LE, Gross AL, Zahodne LB, Gilsanz P, Brewster P, Nho K, Crane PK, Larson EB, Glymour MM. Alzheimer's disease genetic risk variants beyond . Alzheimers Dement (Amst). 2017 Aug 14;8:188-195. doi: 10.1016/j.dadm.2017.07.002. eCollection 2017. PMID: 28983503; PMCID: PMC5604953.
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NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)

Yao X, Yan J, Risacher S, Moore J, Saykin A, Shen L.
PMID: 28989328
Proc IEEE Int Conf Acoust Speech Signal Process. 2017;2017:6170-6174. doi: 10.1109/ICASSP.2017.7953342. Epub 2017 Jun 19.

Identification of functional modules from biological network is a promising approach to enhance the statistical power of genome-wide association study (GWAS) and improve biological interpretation for complex diseases. The precise functions of genes are highly relevant to tissue context,...

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Yao X, Yan J, Risacher S, et al. NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES. Proc IEEE Int Conf Acoust Speech Signal Process. 2017;2017:6170-6174doi: 10.1109/ICASSP.2017.7953342.
Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A., & Shen, L. (2017). NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference), 20176170-6174. https://doi.org/10.1109/ICASSP.2017.7953342
Yao, Xiaohui, et al. "NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES." Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) vol. 2017 (2017): 6170-6174. doi: https://doi.org/10.1109/ICASSP.2017.7953342
Yao X, Yan J, Risacher S, Moore J, Saykin A, Shen L. NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES. Proc IEEE Int Conf Acoust Speech Signal Process. 2017;2017:6170-6174. doi: 10.1109/ICASSP.2017.7953342. Epub 2017 Jun 19. PMID: 28989328; PMCID: PMC5627518.
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Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.].

Alzheimer's & dementia : the journal of the Alzheimer's Association

[No authors listed]
PMID: 30905591
Alzheimers Dement. 2019 Apr;15(4):604. doi: 10.1016/j.jalz.2019.03.002. Epub 2019 Mar 21.

No abstract available.

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Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimers Dement. 2019;15(4):604doi: 10.1016/j.jalz.2019.03.002.
(2019). Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimer's & dementia : the journal of the Alzheimer's Association, 15(4), 604. https://doi.org/10.1016/j.jalz.2019.03.002
"Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]." Alzheimer's & dementia : the journal of the Alzheimer's Association vol. 15,4 (2019): 604. doi: https://doi.org/10.1016/j.jalz.2019.03.002
Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimers Dement. 2019 Apr;15(4):604. doi: 10.1016/j.jalz.2019.03.002. Epub 2019 Mar 21. PMID: 30905591; PMCID: PMC6652195.
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[No title available]

Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan)

Kim S, Nho K, Risacher SL, Inlow M, Swaminathan S, Yoder KK, Shen L, West JD, McDonald BC, Tallman EF, Hutchins GD, Fletcher JW, Farlow MR, Ghetti B, Saykin AJ.
PMID: 25383391
Multimodal Brain Image Anal (2013). 2013;8159:150-158. doi: 10.1007/978-3-319-02126-3_15.

Increasing evidence suggests that inflammation is one pathophysio-logical mechanism in Alzheimer's disease (AD). Recent studies have identifiedan association between the poly (ADP-ribose) polymerase 1 (

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Kim S, Nho K, Risacher SL, et al. . Multimodal Brain Image Anal (2013). 2013;8159:150-158doi: 10.1007/978-3-319-02126-3_15.
Kim, S., Nho, K., Risacher, S. L., Inlow, M., Swaminathan, S., Yoder, K. K., Shen, L., West, J. D., McDonald, B. C., Tallman, E. F., Hutchins, G. D., Fletcher, J. W., Farlow, M. R., Ghetti, B., & Saykin, A. J. (2013). . Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan), 8159150-158. https://doi.org/10.1007/978-3-319-02126-3_15
Kim, Sungeun, et al. "." Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan) vol. 8159 (2013): 150-158. doi: https://doi.org/10.1007/978-3-319-02126-3_15
Kim S, Nho K, Risacher SL, Inlow M, Swaminathan S, Yoder KK, Shen L, West JD, McDonald BC, Tallman EF, Hutchins GD, Fletcher JW, Farlow MR, Ghetti B, Saykin AJ. . Multimodal Brain Image Anal (2013). 2013;8159:150-158. doi: 10.1007/978-3-319-02126-3_15. PMID: 25383391; PMCID: PMC4224281.
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A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).

Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan)

Kim D, Kim S, Risacher SL, Shen L, Ritchie MD, Weiner MW, Saykin AJ, Nho K.
PMID: 25383392
Multimodal Brain Image Anal (2013). 2013;8159:159-169. doi: 10.1007/978-3-319-02126-3_16.

Alzheimer's disease (AD) is the most common cause of dementia in older adults. By the time an individual has been diagnosed with AD, it may be too late for potential disease modifying therapy to strongly influence outcome. Therefore, it...

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Kim D, Kim S, Risacher SL, et al. A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). Multimodal Brain Image Anal (2013). 2013;8159:159-169doi: 10.1007/978-3-319-02126-3_16.
Kim, D., Kim, S., Risacher, S. L., Shen, L., Ritchie, M. D., Weiner, M. W., Saykin, A. J., Nho, K. (2013). A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan), 8159159-169. https://doi.org/10.1007/978-3-319-02126-3_16
Kim, Dokyoon, et al. "A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)." Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan) vol. 8159 (2013): 159-169. doi: https://doi.org/10.1007/978-3-319-02126-3_16
Kim D, Kim S, Risacher SL, Shen L, Ritchie MD, Weiner MW, Saykin AJ, Nho K. A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). Multimodal Brain Image Anal (2013). 2013;8159:159-169. doi: 10.1007/978-3-319-02126-3_16. PMID: 25383392; PMCID: PMC4224282.
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Two-dimensional enrichment analysis for mining high-level imaging genetic associations.

Brain informatics

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L.
PMID: 27747820
Brain Inform. 2017 Mar;4(1):27-37. doi: 10.1007/s40708-016-0052-4. Epub 2016 May 13.

Enrichment analysis has been widely applied in the genome-wide association studies, where gene sets corresponding to biological pathways are examined for significant associations with a phenotype to help increase statistical power and improve biological interpretation. In this work, we...

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Yao X, Yan J, Kim S, et al. Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Inform. 2016;4(1):27-37doi: 10.1007/s40708-016-0052-4.
Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J., & Shen, L. (2017). Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain informatics, 4(1), 27-37. https://doi.org/10.1007/s40708-016-0052-4
Yao, Xiaohui, et al. "Two-dimensional enrichment analysis for mining high-level imaging genetic associations." Brain informatics vol. 4,1 (2017): 27-37. doi: https://doi.org/10.1007/s40708-016-0052-4
Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L. Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Inform. 2017 Mar;4(1):27-37. doi: 10.1007/s40708-016-0052-4. Epub 2016 May 13. PMID: 27747820; PMCID: PMC5118198.
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Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease.

Frontiers in genetics

Yan J, Kim S, Nho K, Chen R, Risacher SL, Moore JH, Saykin AJ, Shen L.
PMID: 25859259
Front Genet. 2015 Mar 26;6:117. doi: 10.3389/fgene.2015.00117. eCollection 2015.

As the most common type of dementia, Alzheimer's disease (AD) is a neurodegenerative disorder initially manifested by impaired memory performances. While the diagnosis information indicates a dichotomous status of a patient, memory scores have the potential to capture the...

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Yan J, Kim S, Nho K, et al. Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease. Front Genet. 2015;6:117doi: 10.3389/fgene.2015.00117.
Yan, J., Kim, S., Nho, K., Chen, R., Risacher, S. L., Moore, J. H., Saykin, A. J., Shen, L. (2015). Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease. Frontiers in genetics, 6117. https://doi.org/10.3389/fgene.2015.00117
Yan, Jingwen, et al. "Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease." Frontiers in genetics vol. 6 (2015): 117. doi: https://doi.org/10.3389/fgene.2015.00117
Yan J, Kim S, Nho K, Chen R, Risacher SL, Moore JH, Saykin AJ, Shen L. Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease. Front Genet. 2015 Mar 26;6:117. doi: 10.3389/fgene.2015.00117. eCollection 2015. PMID: 25859259; PMCID: PMC4374536.
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Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations.

Brain Informatics and Health : 8th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : proceedings. BIH (Conference) (8th : 2015 : London, England)

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L.
PMID: 26568986
Brain Inform Health (2015). 2015 Aug-Sep;9250:115-124. doi: 10.1007/978-3-319-23344-4_12. Epub 2015 Aug 21.

Enrichment analysis has been widely applied in the genome-wide association studies (GWAS), where gene sets corresponding to biological pathways are examined for significant associations with a phenotype to help increase statistical power and improve biological interpretation. In this work,...

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Yao X, Yan J, Kim S, et al. Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations. Brain Inform Health (2015). 2015;9250:115-124doi: 10.1007/978-3-319-23344-4_12.
Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J., Shen, L. (2015). Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations. Brain Informatics and Health : 8th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : proceedings. BIH (Conference) (8th : 2015 : London, England), 9250115-124. https://doi.org/10.1007/978-3-319-23344-4_12
Yao, Xiaohui, et al. "Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations." Brain Informatics and Health : 8th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : proceedings. BIH (Conference) (8th : 2015 : London, England) vol. 9250 (2015): 115-124. doi: https://doi.org/10.1007/978-3-319-23344-4_12
Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L. Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations. Brain Inform Health (2015). 2015 Aug-Sep;9250:115-124. doi: 10.1007/978-3-319-23344-4_12. Epub 2015 Aug 21. PMID: 26568986; PMCID: PMC4640356.
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The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism.

Alzheimer's & dementia (Amsterdam, Netherlands)

Stage E, Duran T, Risacher SL, Goukasian N, Do TM, West JD, Wilhalme H, Nho K, Phillips M, Elashoff D, Saykin AJ, Apostolova LG.
PMID: 28054028
Alzheimers Dement (Amst). 2016 Dec 19;5:53-66. doi: 10.1016/j.dadm.2016.12.003. eCollection 2016.

INTRODUCTION: We analyzed the effects of the top 20 Alzheimer disease (AD) risk genes on gray-matter density (GMD) and metabolism.METHODS: We ran stepwise linear regression analysis using posterior cingulate hypometabolism and medial temporal GMD as outcomes and all risk...

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Stage E, Duran T, Risacher SL, et al. The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism. Alzheimers Dement (Amst). 2016;5:53-66doi: 10.1016/j.dadm.2016.12.003.
Stage, E., Duran, T., Risacher, S. L., Goukasian, N., Do, T. M., West, J. D., Wilhalme, H., Nho, K., Phillips, M., Elashoff, D., Saykin, A. J., & Apostolova, L. G. (2016). The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism. Alzheimer's & dementia (Amsterdam, Netherlands), 553-66. https://doi.org/10.1016/j.dadm.2016.12.003
Stage, Eddie, et al. "The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 5 (2016): 53-66. doi: https://doi.org/10.1016/j.dadm.2016.12.003
Stage E, Duran T, Risacher SL, Goukasian N, Do TM, West JD, Wilhalme H, Nho K, Phillips M, Elashoff D, Saykin AJ, Apostolova LG. The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism. Alzheimers Dement (Amst). 2016 Dec 19;5:53-66. doi: 10.1016/j.dadm.2016.12.003. eCollection 2016. PMID: 28054028; PMCID: PMC5198883.
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INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia.

Neurobiology of disease

Tsai AP, Lin PB, Dong C, Moutinho M, Casali BT, Liu Y, Lamb BT, Landreth GE, Oblak AL, Nho K.
PMID: 33631273
Neurobiol Dis. 2021 Jun;153:105303. doi: 10.1016/j.nbd.2021.105303. Epub 2021 Feb 22.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, robust microgliosis, neuroinflammation, and neuronal loss. Genome-wide association studies recently highlighted a prominent role for microglia in late-onset AD (LOAD). Specifically, inositol polyphosphate-5-phosphatase (INPP5D), also known as...

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Tsai AP, Lin PB, Dong C, et al. INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia. Neurobiol Dis. 2021;153:105303doi: 10.1016/j.nbd.2021.105303.
Tsai, A. P., Lin, P. B., Dong, C., Moutinho, M., Casali, B. T., Liu, Y., Lamb, B. T., Landreth, G. E., Oblak, A. L., & Nho, K. (2021). INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia. Neurobiology of disease, 153105303. https://doi.org/10.1016/j.nbd.2021.105303
Tsai, Andy P, et al. "INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia." Neurobiology of disease vol. 153 (2021): 105303. doi: https://doi.org/10.1016/j.nbd.2021.105303
Tsai AP, Lin PB, Dong C, Moutinho M, Casali BT, Liu Y, Lamb BT, Landreth GE, Oblak AL, Nho K. INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia. Neurobiol Dis. 2021 Jun;153:105303. doi: 10.1016/j.nbd.2021.105303. Epub 2021 Feb 22. PMID: 33631273; PMCID: PMC8082515.
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Comparison of Multi-Sample Variant Calling Methods for Whole Genome Sequencing.

IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology

Nho K, West JD, Li H, Henschel R, Bharthur A, Tavares MC, Saykin AJ.
PMID: 26167514
IEEE Int Conf Systems Biol. 2014 Oct;2014:59-62. doi: 10.1109/ISB.2014.6990432.

Rapid advancement of next-generation sequencing (NGS) technologies has facilitated the search for genetic susceptibility factors that influence disease risk in the field of human genetics. In particular whole genome sequencing (WGS) has been used to obtain the most comprehensive...

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Nho K, West JD, Li H, et al. Comparison of Multi-Sample Variant Calling Methods for Whole Genome Sequencing. IEEE Int Conf Systems Biol. 2014;2014:59-62doi: 10.1109/ISB.2014.6990432.
Nho, K., West, J. D., Li, H., Henschel, R., Bharthur, A., Tavares, M. C., & Saykin, A. J. (2014). Comparison of Multi-Sample Variant Calling Methods for Whole Genome Sequencing. IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology, 201459-62. https://doi.org/10.1109/ISB.2014.6990432
Nho, Kwangsik, et al. "Comparison of Multi-Sample Variant Calling Methods for Whole Genome Sequencing." IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology vol. 2014 (2014): 59-62. doi: https://doi.org/10.1109/ISB.2014.6990432
Nho K, West JD, Li H, Henschel R, Bharthur A, Tavares MC, Saykin AJ. Comparison of Multi-Sample Variant Calling Methods for Whole Genome Sequencing. IEEE Int Conf Systems Biol. 2014 Oct;2014:59-62. doi: 10.1109/ISB.2014.6990432. PMID: 26167514; PMCID: PMC4496949.
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