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Items: 1 to 50 of 123

1.

Telomere Shortening in the Alzheimer's Disease Neuroimaging Initiative Cohort.

Nudelman KNH, Lin J, Lane KA, Nho K, Kim S, Faber KM, Risacher SL, Foroud TM, Gao S, Davis JW, Weiner MW, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2019 Jul 18. doi: 10.3233/JAD-190010. [Epub ahead of print]

PMID:
31322561
2.

Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene.

Yao X, Risacher SL, Nho K, Saykin AJ, Wang Z, Shen L; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2019 Jun 18;81:213-221. doi: 10.1016/j.neurobiolaging.2019.06.003. [Epub ahead of print]

PMID:
31319229
3.

MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework.

Lee G, Kang B, Nho K, Sohn KA, Kim D.

Front Genet. 2019 Jun 28;10:617. doi: 10.3389/fgene.2019.00617. eCollection 2019.

4.

Initiation of antidepressant medication and risk of incident stroke: using the Adult Changes in Thought cohort to address time-varying confounding.

Glymour MM, Gibbons LE, Gilsanz P, Gross AL, Mez J, Brewster PW, Marden J, Zahodne LB, Nho K, Hamilton J, Li G, Larson EB, Crane PK.

Ann Epidemiol. 2019 Jul;35:42-47.e1. doi: 10.1016/j.annepidem.2019.04.010. Epub 2019 May 11.

PMID:
31200987
5.

Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases.

Chasioti D, Yan J, Nho K, Saykin AJ.

Trends Genet. 2019 May;35(5):371-382. doi: 10.1016/j.tig.2019.02.005. Epub 2019 Mar 25. Review.

PMID:
30922659
6.

Predicting Alzheimer's disease progression using multi-modal deep learning approach.

Lee G, Nho K, Kang B, Sohn KA, Kim D; for Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2019 Feb 13;9(1):1952. doi: 10.1038/s41598-018-37769-z.

7.

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

Han S, Miller JE, Byun S, Kim D, Risacher SL, Saykin AJ, Lee Y, Nho K; for Alzheimer’s Disease Neuroimaging Initiative.

BMC Med Genomics. 2019 Jan 31;12(Suppl 1):13. doi: 10.1186/s12920-018-0453-8.

8.

Neuropathological correlates and genetic architecture of microglial activation in elderly human brain.

Felsky D, Roostaei T, Nho K, Risacher SL, Bradshaw EM, Petyuk V, Schneider JA, Saykin A, Bennett DA, De Jager PL.

Nat Commun. 2019 Jan 24;10(1):409. doi: 10.1038/s41467-018-08279-3.

9.

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.

Wang X, Chen H, Yan J, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H; ADNI.

Bioinformatics. 2018 Sep 1;34(17):i866-i874. doi: 10.1093/bioinformatics/bty557.

PMID:
30423101
10.

Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging.

Yan Q, Nho K, Del-Aguila JL, Wang X, Risacher SL, Fan KH, Snitz BE, Aizenstein HJ, Mathis CA, Lopez OL, Demirci FY, Feingold E, Klunk WE, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative (ADNI), Cruchaga C, Kamboh MI.

Mol Psychiatry. 2018 Oct 25. doi: 10.1038/s41380-018-0246-7. [Epub ahead of print]

11.

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

Nho K, Kueider-Paisley A, MahmoudianDehkordi S, Arnold M, Risacher SL, Louie G, Blach C, Baillie R, Han X, Kastenmüller G, Jia W, Xie G, Ahmad S, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, Saykin AJ, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2019 Feb;15(2):232-244. doi: 10.1016/j.jalz.2018.08.012. Epub 2018 Oct 15.

12.

Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome.

MahmoudianDehkordi S, Arnold M, Nho K, Ahmad S, Jia W, Xie G, Louie G, Kueider-Paisley A, Moseley MA, Thompson JW, St John Williams L, Tenenbaum JD, Blach C, Baillie R, Han X, Bhattacharyya S, Toledo JB, Schafferer S, Klein S, Koal T, Risacher SL, Kling MA, Motsinger-Reif A, Rotroff DM, Jack J, Hankemeier T, Bennett DA, De Jager PL, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, van Duijn CM, Saykin AJ, Kastenmüller G, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2019 Jan;15(1):76-92. doi: 10.1016/j.jalz.2018.07.217. Epub 2018 Oct 15. Erratum in: Alzheimers Dement. 2019 Apr;15(4):604.

13.

A novel system-level approach using RNA-sequencing data identifies miR-30-5p and miR-142a-5p as key regulators of apoptosis in myocardial infarction.

Kim JO, Park JH, Kim T, Hong SE, Lee JY, Nho KJ, Cho C, Kim YS, Kang WS, Ahn Y, Kim DH.

Sci Rep. 2018 Oct 2;8(1):14638. doi: 10.1038/s41598-018-33020-x.

14.

Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer's disease.

Miller JE, Shivakumar MK, Lee Y, Han S, Horgousluoglu E, Risacher SL, Saykin AJ, Nho K, Kim D; Alzheimer’s Disease Neuroimaging Initiative.

BMC Med Genomics. 2018 Sep 14;11(Suppl 3):76. doi: 10.1186/s12920-018-0390-6.

15.

Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation.

Bis JC, Jian X, Kunkle BW, Chen Y, Hamilton-Nelson KL, Bush WS, Salerno WJ, Lancour D, Ma Y, Renton AE, Marcora E, Farrell JJ, Zhao Y, Qu L, Ahmad S, Amin N, Amouyel P, Beecham GW, Below JE, Campion D, Charbonnier C, Chung J, Crane PK, Cruchaga C, Cupples LA, Dartigues JF, Debette S, Deleuze JF, Fulton L, Gabriel SB, Genin E, Gibbs RA, Goate A, Grenier-Boley B, Gupta N, Haines JL, Havulinna AS, Helisalmi S, Hiltunen M, Howrigan DP, Ikram MA, Kaprio J, Konrad J, Kuzma A, Lander ES, Lathrop M, Lehtimäki T, Lin H, Mattila K, Mayeux R, Muzny DM, Nasser W, Neale B, Nho K, Nicolas G, Patel D, Pericak-Vance MA, Perola M, Psaty BM, Quenez O, Rajabli F, Redon R, Reitz C, Remes AM, Salomaa V, Sarnowski C, Schmidt H, Schmidt M, Schmidt R, Soininen H, Thornton TA, Tosto G, Tzourio C, van der Lee SJ, van Duijn CM, Vardarajan B, Wang W, Wijsman E, Wilson RK, Witten D, Worley KC, Zhang X; Alzheimer’s Disease Sequencing Project, Bellenguez C, Lambert JC, Kurki MI, Palotie A, Daly M, Boerwinkle E, Lunetta KL, Destefano AL, Dupuis J, Martin ER, Schellenberg GD, Seshadri S, Naj AC, Fornage M, Farrer LA.

Mol Psychiatry. 2018 Aug 14. doi: 10.1038/s41380-018-0112-7. [Epub ahead of print]

PMID:
30108311
16.

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.

Wang X, Yan J, Yao X, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H.

J Comput Biol. 2018 Jul;25(7):809-824. doi: 10.1089/cmb.2018.0008.

17.

Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.

Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu FC, Nho K, Hofer E, Hagenaars SP, Nyquist PA, Mishra A, Adams HHH, Li S, Teumer A, Zhao W, Freedman BI, Saba Y, Yanek LR, Chauhan G, van Buchem MA, Cushman M, Royle NA, Bryan RN, Niessen WJ, Windham BG, DeStefano AL, Habes M, Heckbert SR, Palmer ND, Lewis CE, Eiriksdottir G, Maillard P, Mathias RA, Homuth G, Valdés-Hernández MDC, Divers J, Beiser AS, Langner S, Rice KM, Bastin ME, Yang Q, Maldjian JA, Starr JM, Sidney S, Risacher SL, Uitterlinden AG, Gudnason VG, Nauck M, Rotter JI, Schreiner PJ, Boerwinkle E, van Duijn CM, Mazoyer B, von Sarnowski B, Gottesman RF, Levy D, Sigurdsson S, Vernooij MW, Turner ST, Schmidt R, Wardlaw JM, Psaty BM, Mosley TH, DeCarli CS, Saykin AJ, Bowden DW, Becker DM, Deary IJ, Schmidt H, Kardia SLR, Ikram MA, Debette S, Grabe HJ, Longstreth WT Jr, Seshadri S, Launer LJ, Fornage M; neuroCHARGE Working Group.

Stroke. 2018 Aug;49(8):1812-1819. doi: 10.1161/STROKEAHA.118.020689.

PMID:
30002152
18.

Genetic variation affecting exon skipping contributes to brain structural atrophy in Alzheimer's disease.

Lee Y, Han S, Kim D, Kim D, Horgousluoglu E, Risacher SL, Saykin AJ, Nho K.

AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:124-131. eCollection 2018.

19.

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

Wachinger C, Nho K, Saykin AJ, Reuter M, Rieckmann A; Alzheimer’s Disease Neuroimaging Initiative.

Biol Psychiatry. 2018 Oct 1;84(7):522-530. doi: 10.1016/j.biopsych.2018.04.017. Epub 2018 May 9.

PMID:
29885764
20.

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model.

Wang X, Yan J, Yao X, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H.

Res Comput Mol Biol. 2017 May;10229:287-302. doi: 10.1007/978-3-319-56970-3_18. Epub 2017 Apr 12.

21.

Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study.

Varma VR, Oommen AM, Varma S, Casanova R, An Y, Andrews RM, O'Brien R, Pletnikova O, Troncoso JC, Toledo J, Baillie R, Arnold M, Kastenmueller G, Nho K, Doraiswamy PM, Saykin AJ, Kaddurah-Daouk R, Legido-Quigley C, Thambisetty M.

PLoS Med. 2018 Jan 25;15(1):e1002482. doi: 10.1371/journal.pmed.1002482. eCollection 2018 Jan.

22.

Associations of the Top 20 Alzheimer Disease Risk Variants With Brain Amyloidosis.

Apostolova LG, Risacher SL, Duran T, Stage EC, Goukasian N, West JD, Do TM, Grotts J, Wilhalme H, Nho K, Phillips M, Elashoff D, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative.

JAMA Neurol. 2018 Mar 1;75(3):328-341. doi: 10.1001/jamaneurol.2017.4198.

23.

Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.

Miller JE, Shivakumar MK, Risacher SL, Saykin AJ, Lee S, Nho K, Kim D.

Pac Symp Biocomput. 2018;23:365-376.

24.

Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality.

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.

Alzheimers Dement (Amst). 2017 Aug 14;8:188-195. doi: 10.1016/j.dadm.2017.07.002. eCollection 2017.

25.

Targeted neurogenesis pathway-based gene analysis identifies ADORA2A associated with hippocampal volume in mild cognitive impairment and Alzheimer's disease.

Horgusluoglu-Moloch E, Nho K, Risacher SL, Kim S, Foroud T, Shaw LM, Trojanowski JQ, Aisen PS, Petersen RC, Jack CR Jr, Lovestone S, Simmons A, Weiner MW, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neurobiol Aging. 2017 Dec;60:92-103. doi: 10.1016/j.neurobiolaging.2017.08.010. Epub 2017 Aug 18.

26.

Association analysis of rare variants near the APOE region with CSF and neuroimaging biomarkers of Alzheimer's disease.

Nho K, Kim S, Horgusluoglu E, Risacher SL, Shen L, Kim D, Lee S, Foroud T, Shaw LM, Trojanowski JQ, Aisen PS, Petersen RC, Jack CR Jr, Weiner MW, Green RC, Toga AW, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative (ADNI).

BMC Med Genomics. 2017 May 24;10(Suppl 1):29. doi: 10.1186/s12920-017-0267-0.

27.

Genome-wide association study of language performance in Alzheimer's disease.

Deters KD, Nho K, Risacher SL, Kim S, Ramanan VK, Crane PK, Apostolova LG, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative.

Brain Lang. 2017 Sep;172:22-29. doi: 10.1016/j.bandl.2017.04.008. Epub 2017 May 31.

28.

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

Yao X, Yan J, Liu K, Kim S, Nho K, Risacher SL, Greene CS, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Bioinformatics. 2017 Oct 15;33(20):3250-3257. doi: 10.1093/bioinformatics/btx344.

29.

Plasma Tau Association with Brain Atrophy in Mild Cognitive Impairment and Alzheimer's Disease.

Deters KD, Risacher SL, Kim S, Nho K, West JD, Blennow K, Zetterberg H, Shaw LM, Trojanowski JQ, Weiner MW, Saykin AJ; Alzheimer Disease Neuroimaging Initiative.

J Alzheimers Dis. 2017;58(4):1245-1254. doi: 10.3233/JAD-161114.

30.

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

Kim D, Basile AO, Bang L, Horgusluoglu E, Lee S, Ritchie MD, Saykin AJ, Nho K.

BMC Med Inform Decis Mak. 2017 May 18;17(Suppl 1):61. doi: 10.1186/s12911-017-0454-0.

31.

Effects of Viola mandshurica on Atherosclerosis and Hepatic Steatosis in ApoE[Formula: see text] via the AMPK Pathway.

Park SH, Sung YY, Nho KJ, Kim DS, Kim HK.

Am J Chin Med. 2017;45(4):757-772. doi: 10.1142/S0192415X17500409. Epub 2017 May 18.

PMID:
28514904
32.

Metabolic network failures in Alzheimer's disease: A biochemical road map.

Toledo JB, Arnold M, Kastenmüller G, Chang R, Baillie RA, Han X, Thambisetty M, Tenenbaum JD, Suhre K, Thompson JW, John-Williams LS, MahmoudianDehkordi S, Rotroff DM, Jack JR, Motsinger-Reif A, Risacher SL, Blach C, Lucas JE, Massaro T, Louie G, Zhu H, Dallmann G, Klavins K, Koal T, Kim S, Nho K, Shen L, Casanova R, Varma S, Legido-Quigley C, Moseley MA, Zhu K, Henrion MYR, van der Lee SJ, Harms AC, Demirkan A, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Saykin AJ, Weiner MW, Doraiswamy PM, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2017 Sep;13(9):965-984. doi: 10.1016/j.jalz.2017.01.020. Epub 2017 Mar 22.

33.

Novel genetic loci associated with hippocampal volume.

Hibar DP, Adams HHH, Jahanshad N, Chauhan G, Stein JL, Hofer E, Renteria ME, Bis JC, Arias-Vasquez A, Ikram MK, Desrivières S, Vernooij MW, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beecham AH, Beiser A, Bernard M, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chen Q, Ching CRK, Chouraki V, Cuellar-Partida G, Crivello F, Den Braber A, Doan NT, Ehrlich S, Giddaluru S, Goldman AL, Gottesman RF, Grimm O, Griswold ME, Guadalupe T, Gutman BA, Hass J, Haukvik UK, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Jørgensen KN, Karbalai N, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liewald DCM, Lopez LM, Luciano M, Macare C, Marquand AF, Matarin M, Mather KA, Mattheisen M, McKay DR, Milaneschi Y, Muñoz Maniega S, Nho K, Nugent AC, Nyquist P, Loohuis LMO, Oosterlaan J, Papmeyer M, Pirpamer L, Pütz B, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Ropele S, Rose EJ, Royle NA, Rundek T, Sämann PG, Saremi A, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Trompet S, Vaidya D, Van der Grond J, Van der Lee SJ, Van der Meer D, Van Donkelaar MMJ, Van Eijk KR, Van Erp TGM, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Wittfeld K, Woldehawariat G, Wolf C, Wolfers T, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Craen AJM, De Geus EJC, De Jager PL, De Zubicaray GI, Deary IJ, Debette S, DeCarli C, Delanty N, Depondt C, DeStefano A, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Enzinger C, Erk S, Espeseth T, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Fornage M, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HHH, Green RC, Gruber O, Gudnason V, Guelfi S, Håberg AK, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Huentelman M, Hulshoff Pol HE, Ikeda M, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schmidt H, Schofield PR, Sigursson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Toga AW, Traynor BJ, Troncoso J, Tsolaki M, Tzourio C, Uitterlinden AG, Hernández MCV, Van der Brug M, van der Lugt A, van der Wee NJA, Van Haren NEM, van 't Ent D, Van Tol MJ, Vardarajan BN, Vellas B, Veltman DJ, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke RH, Zonderman AB, Martin NG, Van Duijn CM, Wright MJ, Longstreth WT, Schumann G, Grabe HJ, Franke B, Launer LJ, Medland SE, Seshadri S, Thompson PM, Ikram MA.

Nat Commun. 2017 Jan 18;8:13624. doi: 10.1038/ncomms13624.

34.

The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism.

Stage E, Duran T, Risacher SL, Goukasian N, Do TM, West JD, Wilhalme H, Nho K, Phillips M, Elashoff D, Saykin AJ, Apostolova LG.

Alzheimers Dement (Amst). 2016 Dec 19;5:53-66. doi: 10.1016/j.dadm.2016.12.003. eCollection 2016.

35.

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.

Liu K, Yao X, Yan J, Chasioti D, Risacher S, Nho K, Saykin A, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Graphs Biomed Image Anal Comput Anat Imaging Genet (2017. 2017;10551:220-229. doi: 10.1007/978-3-319-67675-3_20. Epub 2017 Sep 8.

36.

IDENTIFICATION OF DISCRIMINATIVE IMAGING PROTEOMICS ASSOCIATIONS IN ALZHEIMER'S DISEASE VIA A NOVEL SPARSE CORRELATION MODEL.

Yan J, Risacher SL, Nho K, Saykin AJ, Shen LI.

Pac Symp Biocomput. 2017;22:94-104. doi: 10.1142/9789813207813_0010.

37.

Comparing Variability, Severity, and Persistence of Depressive Symptoms as Predictors of Future Stroke Risk.

Zahodne LB, Gilsanz P, Glymour MM, Gibbons LE, Brewster P, Hamilton J, Mez J, Marden JR, Nho K, Larson EB, Crane PK, Gross AL.

Am J Geriatr Psychiatry. 2017 Feb;25(2):120-128. doi: 10.1016/j.jagp.2016.10.009. Epub 2016 Oct 24.

38.

Genomics and CSF analyses implicate thyroid hormone in hippocampal sclerosis of aging.

Nelson PT, Katsumata Y, Nho K, Artiushin SC, Jicha GA, Wang WX, Abner EL, Saykin AJ, Kukull WA; Alzheimer’s Disease Neuroimaging Initiative (ADNI), Fardo DW.

Acta Neuropathol. 2016 Dec;132(6):841-858. Epub 2016 Nov 4.

39.

Novel genetic loci underlying human intracranial volume identified through genome-wide association.

Adams HH, Hibar DP, Chouraki V, Stein JL, Nyquist PA, Rentería ME, Trompet S, Arias-Vasquez A, Seshadri S, Desrivières S, Beecham AH, Jahanshad N, Wittfeld K, Van der Lee SJ, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beiser A, Bernard M, Bis JC, Blanken LM, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chauhan G, Chen Q, Ching CR, Cuellar-Partida G, Braber AD, Doan NT, Ehrlich S, Filippi I, Ge T, Giddaluru S, Goldman AL, Gottesman RF, Greven CU, Grimm O, Griswold ME, Guadalupe T, Hass J, Haukvik UK, Hilal S, Hofer E, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liao J, Liewald DC, Lopez LM, Luciano M, Macare C, Marquand A, Matarin M, Mather KA, Mattheisen M, Mazoyer B, McKay DR, McWhirter R, Milaneschi Y, Mirza-Schreiber N, Muetzel RL, Maniega SM, Nho K, Nugent AC, Loohuis LM, Oosterlaan J, Papmeyer M, Pappa I, Pirpamer L, Pudas S, Pütz B, Rajan KB, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Rose EJ, Royle NA, Rundek T, Sämann PG, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Thomson R, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Vaidya D, Van der Grond J, Van der Meer D, Van Donkelaar MM, Van Eijk KR, Van Erp TG, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Woldehawariat G, Wolf C, Wolfers T, Xu B, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Aggarwal NT, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Chen C, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Geus EJ, De Jager PL, de Zubicaray GI, Delanty N, Depondt C, DeStefano AL, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Erk S, Espeseth T, Evans DA, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HH, Grabe HJ, Green RC, Gruber O, Gudnason V, Guelfi S, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Hulshoff Pol HE, Ikeda M, Ikram MK, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Longstreth WT Jr, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon KL, McMahon FJ, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BW, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schofield PR, Sigurdsson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Srikanth V, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Tiemeier H, Toga AW, Traynor BJ, Troncoso J, Turner JA, Tzourio C, Uitterlinden AG, Hernández MC, Van der Brug M, Van der Lugt A, Van der Wee NJ, Van Duijn CM, Van Haren NE, Van T Ent D, Van Tol MJ, Vardarajan BN, Veltman DJ, Vernooij MW, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke HR, Zonderman AB, Deary IJ, DeCarli C, Schmidt H, Martin NG, De Craen AJ, Wright MJ, Launer LJ, Schumann G, Fornage M, Franke B, Debette S, Medland SE, Ikram MA, Thompson PM.

Nat Neurosci. 2016 Dec;19(12):1569-1582. doi: 10.1038/nn.4398. Epub 2016 Oct 3.

40.

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

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L.

Brain Inform. 2017 Mar;4(1):27-37. doi: 10.1007/s40708-016-0052-4. Epub 2016 May 13.

41.

The Korean herbal medicine, Do In Seung Gi-Tang, attenuates atherosclerosis via AMPK in high-fat diet-induced ApoE(-/-) mice.

Park SH, Sung YY, Jang S, Nho KJ, Choi GY, Kim HK.

BMC Complement Altern Med. 2016 Sep 8;16:352. doi: 10.1186/s12906-016-1309-4.

42.

Integration of bioinformatics and imaging informatics for identifying rare PSEN1 variants in Alzheimer's disease.

Nho K, Horgusluoglu E, Kim S, Risacher SL, Kim D, Foroud T, Aisen PS, Petersen RC, Jack CR Jr, Shaw LM, Trojanowski JQ, Weiner MW, Green RC, Toga AW, Saykin AJ; ADNI.

BMC Med Genomics. 2016 Aug 12;9 Suppl 1:30. doi: 10.1186/s12920-016-0190-9.

43.

Alpha-synuclein (SNCA) polymorphisms exert protective effects on memory after mild traumatic brain injury.

Shee K, Lucas A, Flashman LA, Nho K, Tsongalis GJ, McDonald BC, Saykin AJ, McAllister TW, Rhodes CH.

Neurosci Lett. 2016 Sep 6;630:241-246. doi: 10.1016/j.neulet.2016.07.057. Epub 2016 Jul 29.

44.

Induction of mitochondria-dependent apoptosis in HepG2 human hepatocellular carcinoma cells by timosaponin A-III.

Nho KJ, Chun JM, Kim HK.

Environ Toxicol Pharmacol. 2016 Jul;45:295-301. doi: 10.1016/j.etap.2016.06.012. Epub 2016 Jun 14.

PMID:
27344126
45.

Mood, stress and longevity: convergence on ANK3.

Rangaraju S, Levey DF, Nho K, Jain N, Andrews KD, Le-Niculescu H, Salomon DR, Saykin AJ, Petrascheck M, Niculescu AB.

Mol Psychiatry. 2016 Aug;21(8):1037-49. doi: 10.1038/mp.2016.65. Epub 2016 May 24.

PMID:
27217151
46.

Hippocampal Sclerosis of Aging, a Common Alzheimer's Disease 'Mimic': Risk Genotypes are Associated with Brain Atrophy Outside the Temporal Lobe.

Nho K, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative, Nelson PT.

J Alzheimers Dis. 2016;52(1):373-83. doi: 10.3233/JAD-160077.

47.

Adult neurogenesis and neurodegenerative diseases: A systems biology perspective.

Horgusluoglu E, Nudelman K, Nho K, Saykin AJ.

Am J Med Genet B Neuropsychiatr Genet. 2017 Jan;174(1):93-112. doi: 10.1002/ajmg.b.32429. Epub 2016 Feb 16.

48.

Reply.

Nho K, Saykin AJ.

Ann Neurol. 2016 Feb;79(2):335. doi: 10.1002/ana.24588. Epub 2016 Jan 18. No abstract available.

49.

Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations.

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative**.

Brain Inform Health (2015). 2015 Aug-Sep;9250:115-124. Epub 2015 Aug 21.

50.

Genetic Influences on Plasma Homocysteine Levels in African Americans and Yoruba Nigerians.

Kim S, Nho K, Ramanan VK, Lai D, Foroud TM, Lane K, Murrell JR, Gao S, Hall KS, Unverzagt FW, Baiyewu O, Ogunniyi A, Gureje O, Kling MA, Doraiswamy PM, Kaddurah-Daouk R, Hendrie HC, Saykin AJ.

J Alzheimers Dis. 2016;49(4):991-1003. doi: 10.3233/JAD-150651.

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