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  • Andrew Saykin
2018

A novel SCCA approach via truncated â.," 1-norm and truncated group lasso for brain imaging genetics

Du, L., Liu, K., Zhang, T., Yao, X., Yan, J., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 15 2018, In : Bioinformatics. 34, 2, p. 278-285 8 p.

Research output: Contribution to journalArticle

10 Scopus citations
2019

Associations between Depression, Traumatic Brain Injury, and Cognitively-Defined Late-Onset Alzheimer's Disease Subgroups

the Executive Prominent AD (EPAD) investigators, Jan 1 2019, In : Journal of Alzheimer's Disease. 70, 2, p. 609-617 9 p.

Research output: Contribution to journalArticle

2017

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

Caiafa, C. F., Sporns, O., Saykin, A. & Pestilli, F., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 4341-4352 12 p.

Research output: Contribution to journalConference article

3 Scopus citations

Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort

for the Alzheimer's Disease Neuroimaging Initiative, May 30 2017, In : BMC genomics. 18, 1, 421.

Research output: Contribution to journalArticle

5 Scopus citations

The Impact of Using Different Reference Populations on Measurement of Breast Cancer-Related Cognitive Impairment Rates

Thinking and Living with Cancer (TLC) Study, Nov 24 2017, In : Archives of Clinical Neuropsychology. 33, 8, p. 956-963 8 p.

Research output: Contribution to journalArticle

4 Scopus citations
2016

Mood, stress and longevity: convergence on ANK3

Rangaraju, S., Levey, D. F., Nho, K., Jain, N., Andrews, K. D., Le-Niculescu, H., Salomon, D. R., Saykin, A., Petrascheck, M. & Niculescu, A., May 24 2016, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

10 Scopus citations
2018

Sex-specific association of apolipoprotein e with cerebrospinal fluid levels of tau

Alzheimer's Disease Genetics Consortium and the Alzheimer's Disease Neuroimaging Initiative, Aug 1 2018, In : JAMA Neurology. 75, 8, p. 989-998 10 p.

Research output: Contribution to journalArticle

39 Scopus citations

Longitudinal genotype-phenotype association study through temporal structure auto-learning predictive model

Wang, X., Yan, J., Yao, X., Kim, S., Nho, K., Risacher, S. L., Saykin, A. J., Shen, L. & Huang, H., Jul 2018, In : Journal of Computational Biology. 25, 7, p. 809-824 16 p.

Research output: Contribution to journalArticle

1 Scopus citations
2019

Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers

Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Feb 2019, In : Alzheimer's and Dementia. 15, 2, p. 232-244 13 p.

Research output: Contribution to journalArticle

16 Scopus citations
2017

Age at injury is associated with the long-term cognitive outcome of traumatic brain injuries

Alzheimer's Disease Neuroimaging Initiative, Jan 1 2017, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 6, p. 196-200 5 p.

Research output: Contribution to journalArticle

7 Scopus citations
2019

Telomere Shortening in the Alzheimer's Disease Neuroimaging Initiative Cohort

Nudelman, K. N. H., Lin, J., Lane, K. A., Nho, K., Kim, S., Faber, K. M., Risacher, S. L., Foroud, T. M., Gao, S., Davis, J. W., Weiner, M. W. & Saykin, A. J., Jan 1 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 33-43 11 p.

Research output: Contribution to journalArticle

4 Scopus citations
2017

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease

Kim, D., Basile, A. O., Bang, L., Horgusluoglu, E., Lee, S., Ritchie, M. D., Saykin, A. J. & Nho, K., May 18 2017, In : BMC medical informatics and decision making. 17, 61.

Research output: Contribution to journalArticle

6 Scopus citations
2019

Resting state network modularity along the prodromal late onset Alzheimer's disease continuum

Contreras, J. A., Avena-Koenigsberger, A., Risacher, S. L., West, J. D., Tallman, E., McDonald, B. C., Farlow, M. R., Apostolova, L. G., Goñi, J., Dzemidzic, M., Wu, Y. C., Kessler, D., Jeub, L., Fortunato, S., Saykin, A. J. & Sporns, O., Jan 1 2019, In : NeuroImage: Clinical. 22, 101687.

Research output: Contribution to journalArticle

6 Scopus citations
2016

Structured sparse CCA for brain imaging genetics via graph OSCAR

Du, L., Huang, H., Yan, J., Kim, S., Risacher, S., Inlow, M., Moore, J., Saykin, A. & Shen, L., Aug 26 2016, In : BMC Systems Biology. 10, 68.

Research output: Contribution to journalArticle

6 Scopus citations
2017

Two-dimensional enrichment analysis for mining high-level imaging genetic associations

Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Mar 1 2017, In : Brain Informatics. 4, 1, p. 27-37 11 p.

Research output: Contribution to journalArticle

3 Scopus citations
2016

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

Hao, X., Yao, X., Yan, J., Risacher, S. L., Saykin, A. J., Zhang, D., Shen, L. & for the Alzheimer’s Disease Neuroimaging Initiative, T. A. D. N. I., Oct 1 2016, In : Neuroinformatics. 14, 4, p. 439-452 14 p.

Research output: Contribution to journalArticle

11 Scopus citations

Variants in ACPP are associated with cerebrospinal fluid Prostatic Acid Phosphatase levels

for the Alzheimer's Disease Neuroimaging Initiative, Jun 29 2016, In : BMC genomics. 17, 439.

Research output: Contribution to journalArticle

1 Scopus citations
2018

Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease

International Genomics of Alzheimer's Project (IGAP), ARUK Consortium & GERAD/PERADES, CHARGE, ADGC, EADI, Jan 1 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 595-598 4 p.

Research output: Contribution to journalArticle

2016

Traumatic brain injury and age at onset of cognitive impairment in older adults

Li, W., Risacher, S. L., McAllister, T. W. & Saykin, A., Mar 23 2016, (Accepted/In press) In : Journal of Neurology. p. 1-6 6 p.

Research output: Contribution to journalArticle

27 Scopus citations

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

Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Zhang, D. & Shen, L., Jan 1 2016, In : Pacific Symposium on Biocomputing. p. 108-119 12 p.

Research output: Contribution to journalConference article

3 Scopus citations
2019

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 2235.

Research output: Contribution to journalArticle

Open Access
4 Scopus citations

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

2 Scopus citations
2018

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

Liu, K., Wang, H., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1402-1405 4 p.

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

3 Scopus citations
2016

A new statistical image analysis approach and its application to Hippocampal morphometry

ADNI, Jan 1 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Liao, H., Zheng, G., Lee, S-L., Cattin, P. & Jannin, P. (eds.). Springer Verlag, p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS).

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

1 Scopus citations
2019

Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

Jia, T., Chu, C., Liu, Y., van Dongen, J., Papastergios, E., Armstrong, N. J., Bastin, M. E., Carrillo-Roa, T., den Braber, A., Harris, M., Jansen, R., Liu, J., Luciano, M., Ori, A. P. S., Roiz Santiañez, R., Ruggeri, B., Sarkisyan, D., Shin, J., Sungeun, K., Tordesillas Gutiérrez, D. & 62 others, van’t Ent, D., Ames, D., Artiges, E., Bakalkin, G., Banaschewski, T., Bokde, A. L. W., Brodaty, H., Bromberg, U., Brouwer, R., Büchel, C., Burke Quinlan, E., Cahn, W., de Zubicaray, G. I., Ehrlich, S., Ekström, T. J., Flor, H., Fröhner, J. H., Frouin, V., Garavan, H., Gowland, P., Heinz, A., Hoare, J., Ittermann, B., Jahanshad, N., Jiang, J., Kwok, J. B., Martin, N. G., Martinot, J. L., Mather, K. A., McMahon, K. L., McRae, A. F., Nees, F., Papadopoulos Orfanos, D., Paus, T., Poustka, L., Sämann, P. G., Schofield, P. R., Smolka, M. N., Stein, D. J., Strike, L. T., Teeuw, J., Thalamuthu, A., Trollor, J., Walter, H., Wardlaw, J. M., Wen, W., Whelan, R., Apostolova, L. G., Binder, E. B., Boomsma, D. I., Calhoun, V., Crespo-Facorro, B., Deary, I. J., Hulshoff Pol, H., Ophoff, R. A., Pausova, Z., Sachdev, P. S., Saykin, A., Wright, M. J., Thompson, P. M., Schumann, G. & Desrivières, S., Jan 1 2019, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Open Access
1 Scopus citations
2016

Altered brain connectivity in early postmenopausal women with subjective cognitive impairment

Vega, J. N., Zurkovsky, L., Albert, K., Melo, A., Boyd, B., Dumas, J., Woodward, N., McDonald, B., Saykin, A., Park, J. H., Naylor, M. & Newhouse, P. A., Sep 23 2016, In : Frontiers in Neuroscience. 10, SEP, 433.

Research output: Contribution to journalArticle

14 Scopus citations
2018

Joint high-order multi-task feature learning to predict the progression of Alzheimer’s disease

ADNI, Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 555-562 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

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

2 Scopus citations
2019

Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative

Alzheimer's Disease Neuroimaging Initiative, Jan 2019, In : Alzheimer's and Dementia. 15, 1, p. 106-152 47 p.

Research output: Contribution to journalReview article

30 Scopus citations

Genome-wide network-assisted association and enrichment study of amyloid imaging phenotype in alzheimer’s disease

Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, In : Current Alzheimer research. 16, 13, p. 1163-1174 12 p.

Research output: Contribution to journalArticle

1 Scopus citations
2018

Analysis of shared heritability in common disorders of the brain

The Brainstorm Consortium, Jun 22 2018, In : Science. 360, 6395, 8757.

Research output: Contribution to journalArticle

327 Scopus citations
2017

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease

Huang, M., Yang, W., Feng, Q., Chen, W., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J. C., Shaw, L. M., Kaye, J., Quinn, J., Silbert, L., Lind, B. & 219 others, Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Carroll, M., Creech, M. L., Franklin, E., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Love, M. N., Grossman, H., Mitsis, E., Shah, R. C., DeToledo-Morrell, L., Duara, R., Varon, D., Greig, M. T., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J. E., Cerbone, B., Michel, C. A., Pogorelec, D. M., Rusinek, H., De Leon, M. J., Glodzik, L., De Santi, S., Murali Doraiswamy, P., Petrella, J. R., Borges-Neto, S., Wong, T. Z., Coleman, E., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Saleem Ismail, M., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Swerdlow, R. H., Brooks, W. M., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H. S., Lu, P. H., Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Kendall, T., Johnson, H., Farlow, M. R., Hake, A. M., Brosch, J. R., Herring, S., Hunt, C., Van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, G. Y. R., Feldman, H., Mudge, B., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Trost, D., Kertesz, A., Bernick, C., Munic, D., Mesulam, M. M., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C. K., Johnson, N., Sadowsky, C., Villena, T., Turner, R. S., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Lynn Johnson, P., Obisesan, T. O., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Maillard, P., Olichney, J., DeCarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Adeli, A., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Flashman, L. A., Seltzer, M., Hynes, M. L., Santulli, R. B., Sink, K. M., Gordineer, L., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Raj, B. A. & Fargher, K., Jan 12 2017, In : Scientific reports. 7, 39880.

Research output: Contribution to journalArticle

24 Scopus citations
2019

Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), & Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Mar 1 2019, In : Nature genetics. 51, 3, p. 414-430 17 p.

Research output: Contribution to journalArticle

139 Scopus citations
2018

Task-evoked functional connectivity does not explain functional connectivity differences between rest and task conditions

Lynch, L. K., Lu, K. H., Wen, H., Zhang, Y., Saykin, A. J. & Liu, Z., Dec 2018, In : Human Brain Mapping. 39, 12, p. 4939-4948 10 p.

Research output: Contribution to journalArticle

4 Scopus citations
2017

Network approaches to systems biology analysis of complex disease: Integrative methods for multi-omics data

Yan, J., Risacher, S. L., Shen, L. & Saykin, A. J., May 30 2017, In : Briefings in Bioinformatics. 19, 6, p. 1370-1381 12 p.

Research output: Contribution to journalArticle

36 Scopus citations
2019

Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (Nature Genetics, (2019), 51, 3, (414-430), 10.1038/s41588-019-0358-2)

Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE) & Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Sep 1 2019, In : Nature genetics. 51, 9, p. 1423-1424 2 p.

Research output: Contribution to journalComment/debate

Open Access
2017

Implementation of subjective cognitive decline criteria in research studies

Subjective Cognitive Decline Initiative (SCD-I) Working Group, Mar 1 2017, In : Alzheimer's and Dementia. 13, 3, p. 296-311 16 p.

Research output: Contribution to journalShort survey

103 Scopus citations

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features

Singanamalli, A., Wang, H., Madabhushi, A., Weiner, M., Aisen, P., Petersen, R., Jack, C., Jagust, W., Trojanowki, J., Toga, A., Beckett, L., Green, R., Saykin, A., Morris, J., Shaw, L., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R. & 221 others, Dolen, S., Schneider, L., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J., Lord, J., Mason, S., Albers, C., Knopman, D., Johnson, K., Doody, R., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L., Bell, K., Ances, B., Carroll, M., Creech, M., Franklin, E., Mintun, M., Schneider, S., Oliver, A., Marson, D., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Natelson Love, M., Grossman, H., Mitsis, E., Shah, R., Detoledo-Morrell, L., Duara, R., Varon, D., Greig, M., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J., Cerbone, B., Michel, C., Pogorelec, D., Rusinek, H., De Leon, M., Glodzik, L., De Santi, S., Doraiswamy, P., Petrella, J., Borges-Neto, S., Wong, T., Coleman, E., Smith, C., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A., Goldstein, B., Martin, K., Makino, K., Ismail, M., Brand, C., Mulnard, R., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A., Lah, J., Cellar, J., Burns, J., Swerdlow, R., Brooks, W., Apostolova, L., Tingus, K., Woo, E., Silverman, D., Lu, P., Bartzokis, G., Graff-Radford, N., Parfitt, F., Kendall, T., Johnson, H., Farlow, M., Marie Hake, A., Matthews, B., Brosch, J., Herring, S., Hunt, C., Dyck, C., Carson, R., MacAvoy, M., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., Feldman, H., Mudge, B., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Trost, D., Kertesz, A., Bernick, C., Munic, D., Mesulam, M. M., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C. K., Johnson, N., Sadowsky, C., Villena, T., Scott Turner, R., Johnson, K., Reynolds, B., Sperling, R., Johnson, K., Marshall, G., Yesavage, J., Taylor, J., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Sirrel, S., Kowall, N., Killiany, R., Budson, A., Norbash, A., Lynn Johnson, P., Obisesan, T., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Fletcher, E., Maillard, P., Olichney, J., Decarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Robbartha, Johnson, S., Asthana, S., Carlsson, C., Potkin, S., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D., Kataki, M., Adeli, A., Zimmerman, E., Celmins, D., Brown, A., Pearlson, G., Blank, K., Anderson, K., Flashman, L., Seltzer, M., Hynes, M., Santulli, R., Sink, K., Gordineer, L., Williamson, J., Garg, P., Watkins, F., Ott, B., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H., Miller, B., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Ashok Raj, B. & Fargher, K., Dec 1 2017, In : Scientific reports. 7, 1, 8137.

Research output: Contribution to journalArticle

3 Scopus citations
2018

A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer's Disease

Alzheimer's Disease Neuroimaging Initiative, Oct 1 2018, In : Biological psychiatry. 84, 7, p. 522-530 9 p.

Research output: Contribution to journalArticle

9 Scopus citations
2019

Identification of exon skipping events associated with Alzheimer's disease in the human hippocampus

Han, S., Miller, J. E., Byun, S., Kim, D., Risacher, S. L., Saykin, A. J., Lee, Y. & Nho, K., Jan 31 2019, In : BMC Medical Genomics. 12, 13.

Research output: Contribution to journalArticle

4 Scopus citations

Disruption of gene co-expression network along the progression of Alzheimer's disease

Upadhyaya, Y., Xie, L., Salama, P., Nho, K., Saykin, A. J. & Yan, J., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834551. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

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

Open Access
9 Scopus citations
2018

Codon bias among synonymous rare variants is associated with alzheimer’s disease imaging biomarker

Alzheimer’s Disease Neuroimaging Initiative (ADNI), Jan 1 2018, In : Pacific Symposium on Biocomputing. 0, 212669, p. 365-376 12 p.

Research output: Contribution to journalConference article

4 Scopus citations
2016

Reply

Nho, K. & Saykin, A., Feb 1 2016, In : Annals of Neurology. 79, 2, p. 335 1 p.

Research output: Contribution to journalArticle