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Item Association of blood-based transcriptional risk scores with biomarkers for Alzheimer disease(Wolters Kluwer, 2020-09-03) Park, Young Ho; Hodges, Angela; Simmons, Andrew; Lovestone, Simon; Weiner, Michael W.; Kim, SangYun; Saykin, Andrew J.; Nho, Kwangsik; Initiative For the AddNeuroMed consortium and the Alzheimer's Disease Neuroimaging; Radiology and Imaging Sciences, School of MedicineObjective To determine whether transcriptional risk scores (TRSs), a summation of polarized expression levels of functional genes, reflect the risk of Alzheimer disease (AD). Methods Blood transcriptome data were from Caucasian participants, which included AD, mild cognitive impairment, and cognitively normal controls (CN) in the Alzheimer's Disease Neuroimaging Initiative (ADNI, n = 661) and AddNeuroMed (n = 674) cohorts. To calculate TRSs, we selected functional genes that were expressed under the control of the AD risk loci and were identified as being responsible for AD by using Bayesian colocalization and mendelian randomization methods. Regression was used to investigate the association of the TRS with diagnosis (AD vs CN) and MRI biomarkers (entorhinal thickness and hippocampal volume). Regression was also used to evaluate whether expression of each functional gene was associated with AD diagnosis. Results The TRS was significantly associated with AD diagnosis, hippocampal volume, and entorhinal cortical thickness in the ADNI. The association of the TRS with AD diagnosis and entorhinal cortical thickness was also replicated in AddNeuroMed. Among functional genes identified to calculate the TRS, CD33 and PILRA were significantly upregulated, and TRAPPC6A was significantly downregulated in patients with AD compared with CN, all of which were identified in the ADNI and replicated in AddNeuroMed. Conclusions The blood-based TRS is significantly associated with AD diagnosis and neuroimaging biomarkers. In blood, CD33 and PILRA were known to be associated with uptake of β-amyloid and herpes simplex virus 1 infection, respectively, both of which may play a role in the pathogenesis of AD. Classification of evidence The study is rated Class III because of the case control design and the risk of spectrum bias.Item Dysregulated expression levels of APH1B in peripheral blood are associated with brain atrophy and amyloid-β deposition in Alzheimer's disease(BMC, 2021-11-03) Park, Young Ho; Pyun, Jung‑Min; Hodges, Angela; Jang, Jae‑Won; Bice, Paula J.; Kim, SangYun; Saykin, Andrew J.; Nho, Kwangsik; Radiology and Imaging Sciences, School of MedicineBackground: The interaction between the brain and periphery might play a crucial role in the development of Alzheimer's disease (AD). Methods: Using blood transcriptomic profile data from two independent AD cohorts, we performed expression quantitative trait locus (cis-eQTL) analysis of 29 significant genetic loci from a recent large-scale genome-wide association study to investigate the effects of the AD genetic variants on gene expression levels and identify their potential target genes. We then performed differential gene expression analysis of identified AD target genes and linear regression analysis to evaluate the association of differentially expressed genes with neuroimaging biomarkers. Results: A cis-eQTL analysis identified and replicated significant associations in seven genes (APH1B, BIN1, FCER1G, GATS, MS4A6A, RABEP1, TRIM4). APH1B expression levels in the blood increased in AD and were associated with entorhinal cortical thickness and global cortical amyloid-β deposition. Conclusion: An integrative analysis of genetics, blood-based transcriptomic profiles, and imaging biomarkers suggests that APH1B expression levels in the blood might play a role in the pathogenesis of AD.Item Dysregulated Fc gamma receptor-mediated phagocytosis pathway in Alzheimer’s disease: network-based gene expression analysis(Elsevier, 2020-04) Park, Young Ho; Hodges, Angela; Risacher, Shannon L.; Lin, Kuang; Jang, Jae-Won; Ahn, Soyeon; Kim, SangYun; Lovestone, Simon; Simmons, Andrew; Weiner, Michael W.; Saykin, Andrew J.; Nho, Kwangsik; Radiology and Imaging Sciences, School of MedicineTranscriptomics has become an important tool for identification of biological pathways dysregulated in Alzheimer's disease (AD). We performed a network-based gene expression analysis of blood-based microarray gene expression profiles using 2 independent cohorts, Alzheimer's Disease Neuroimaging Initiative (ADNI; N = 661) and AddNeuroMed (N = 674). Weighted gene coexpression network analysis identified 17 modules from ADNI and 13 from AddNeuroMed. Four of the modules derived in ADNI were significantly related to AD; 5 modules in AddNeuroMed were significant. Gene-set enrichment analysis of the AD-related modules identified and replicated 3 biological pathways including the Fc gamma receptor-mediated phagocytosis pathway. Module-based association analysis showed the AD-related module, which has the 3 pathways, to be associated with cognitive function and neuroimaging biomarkers. Gene-based association analysis identified PRKCD in the Fc gamma receptor-mediated phagocytosis pathway as being significantly associated with cognitive function and cerebrospinal fluid biomarkers. The identification of the Fc gamma receptor-mediated phagocytosis pathway implicates the peripheral innate immune system in the pathophysiology of AD. PRKCD is known to be related to neurodegeneration induced by amyloid-β.Item Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing(Springer Nature, 2019-03) Kunkle, Brian W.; Grenier-Boley, Benjamin; Sims, Rebecca; Bis, Joshua C.; Damotte, Vincent; Naj, Adam C.; Boland, Anne; Vronskaya, Maria; van der Lee, Sven J.; Amlie-Wolf, Alexandre; Bellenguez, Céline; Frizatti, Aura; Chouraki, Vincent; Martin, Eden R.; Sleegers, Kristel; Badarinarayan, Nandini; Jakobsdottir, Johanna; Hamilton-Nelson, Kara L.; Moreno-Grau, Sonia; Olaso, Robert; Raybould, Rachel; Chen, Yuning; Kuzma, Amanda B.; Hiltunen, Mikko; Morgan, Taniesha; Ahmad, Shahzad; Vardarajan, Badri N.; Epelbaum, Jacques; Hoffmann, Per; Boada, Merce; Beecham, Gary W.; Garnier, Jean-Guillaume; Harold, Denise; Fitzpatrick, Annette L.; Valladares, Otto; Moutet, Marie-Laure; Gerrish, Amy; Smith, Albert V.; Qu, Liming; Bacq, Delphine; Denning, Nicola; Jian, Xueqiu; Zhao, Yi; Del Zompo, Maria; Fox, Nick C.; Choi, Seung-Hoan; Mateo, Ignacio; Hughes, Joseph T.; Adams, Hieab H.; Malamon, John; Sanchez-Garcia, Florentino; Patel, Yogen; Brody, Jennifer A.; Dombroski, Beth A.; Deniz Naranjo, Maria Candida; Daniilidou, Makrina; Eiriksdottir, Gudny; Mukherjee, Shubhabrata; Wallon, David; Uphill, James; Aspelund, Thor; Cantwell, Laura B.; Garzia, Fabienne; Galimberti, Daniela; Hofer, Edith; Butkiewicz, Mariusz; Fin, Bertrand; Scarpini, Elio; Sarnowski, Chloe; Bush, Will S.; Meslage, Stéphane; Kornhuber, Johannes; White, Charles C.; Song, Yuenjoo; Barber, Robert C.; Engelborghs, Sebastiaan; Sordon, Sabrina; Voijnovic, Dina; Adams, Perrie M.; Vandenberghe, Rik; Mayhaus, Manuel; Cupples, L. Adrienne; Albert, Marilyn S.; De Deyn, Peter P.; Gu, Wei; Himali, Jayanadra J.; Beekly, Duane; Squassina, Alessio; Hartmann, Annette M.; Orellana, Adelina; Blacker, Deborah; Rodriguez-Rodriguez, Eloy; Lovestone, Simon; Garcia, Melissa E.; Doody, Rachelle S.; Munoz-Fernadez, Carmen; Sussams, Rebecca; Lin, Honghuang; Fairchild, Thomas J.; Benit, Yolanda A.; Holmes, Clive; Karamujić-Čomić, Hata; Frosch, Matthew P.; Thonberg, Hakan; Maier, Wolfgang; Roshchupkin, Gennady; Ghetti, Bernardino; Giedraitis, Vilmantas; Kawalia, Amit; Li, Shuo; Huebinger, Ryan M.; Kilander, Lena; Moebus, Susanne; Hernández, Isabel; Kamboh, M. Ilyas; Brundin, RoseMarie; Turton, James; Yang, Qiong; Katz, Mindy J.; Concari, Letizia; Lord, Jenny; Beiser, Alexa S.; Keene, C. Dirk; Helisalmi, Seppo; Kloszewska, Iwona; Kukull, Walter A.; Koivisto, Anne Maria; Lynch, Aoibhinn; Tarraga, Lluís; Larson, Eric B.; Haapasalo, Annakaisa; Lawlor, Brian; Mosley, Thomas H.; Lipton, Richard B.; Solfrizzi, Vincenzo; Gill, Michael; Longstreth, W. T., Jr.; Montine, Thomas J.; Frisardi, Vincenza; Diez-Fairen, Monica; Rivadeneira, Fernando; Petersen, Ronald C.; Deramecourt, Vincent; Alvarez, Ignacio; Salani, Francesca; Ciaramella, Antonio; Boerwinkle, Eric; Reiman, Eric M.; Fievet, Nathalie; Rotter, Jerome I.; Reisch, Joan S.; Hanon, Olivier; Cupidi, Chiara; Uitterlinden, A. G. Andre; Royall, Donald R.; Dufouil, Carole; Maletta, Raffaele Giovanni; de Rojas, Itziar; Sano, Mary; Brice, Alexis; Cecchetti, Roberta; St. George-Hyslop, Peter; Ritchie, Karen; Tsolaki, Magda; Tsuang, Debby W.; Dubois, Bruno; Craig, David; Wu, Chuang-Kuo; Soininen, Hilkka; Avramidou, Despoina; Albin, Roger L.; Fratiglioni, Laura; Germanou, Antonia; Apostolova, Liana G.; Keller, Lina; Koutroumani, Maria; Arnold, Steven E.; Panza, Francesco; Gkatzima, Olymbia; Asthana, Sanjay; Hannequin, Didier; Whitehead, Patrice; Atwood, Craig S.; Caffarra, Paolo; Hampel, Harald; Quintela, Inés; Carracedo, Ángel; Lannfelt, Lars; Rubinsztein, David C.; Barnes, Lisa L.; Pasquier, Florence; Frölich, Lutz; Barral, Sandra; McGuinness, Bernadette; Beach, Thomas G .; Johnston, Janet A.; Becker, James T.; Passmore, Peter; Bigio, Eileen H.; Schott, Jonathan M.; Bird, Thomas D.; Warren, Jason D.; Boeve, Bradley F.; Lupton, Michelle K.; Bowen, James D.; Proitsi, Petra; Boxer, Adam; Powell, John F.; Burke, James R.; Kauwe, John S.K.; Burns, Jeffrey M.; Mancuso, Michelangelo; Buxbaum, Joseph D.; Bonuccelli, Ubaldo; Cairns, Nigel J.; McQuillin, Andrew; Cao, Chuanhai; Livingston, Gill; Carlson, Chris S.; Bass, Nicholas J.; Carlsson, Cynthia M.; Hardy, John; Carney, Regina M.; Bras, Jose; Carrasquillo, Minerva M.; Guerreiro, Rita; Allen, Mariet; Chui, Helena C.; Fisher, Elizabeth; Masullo, Carlo; Crocco, Elizabeth A.; DeCarli, Charles; Bisceglio, Gina; Dick, Malcolm; Ma, Li; Duara, Ranjan; Graff-Radford, Neill R.; Evans, Denis A.; Hodges, Angela; Faber, Kelley M.; Scherer, Martin; Fallon, Kenneth B.; Riemenschneider, Matthias; Fardo, David W.; Heun, Reinhard; Farlow, Martin R.; Kölsch, Heike; Ferris, Steven; Leber, Markus; Foroud, Tatiana M.; Heuser, Isabella; Galasko, Douglas R.; Giegling, Ina; Gearing, Marla; Hüll, Michael; Geschwind, Daniel H.; Gilbert, John R.; Morris, John; Green, Robert C.; Mayo, Kevin; Growdon, John H.; Feulner, Thomas; Hamilton, Ronald L.; Harrell, Lindy E.; Drichel, Dmitriy; Honig, Lawrence S.; Cushion, Thomas D.; Huentelman, Matthew J.; Hollingworth, Paul; Hulette, Christine M.; Hyman, Bradley T.; Marshall, Rachel; Jarvik, Gail P.; Meggy, Alun; Abner, Erin; Menzies, Georgina E.; Jin, Lee-Way; Leonenko, Ganna; Real, Luis M.; Jun, Gyungah R.; Baldwin, Clinton T.; Grozeva, Detelina; Karydas, Anna; Russo, Giancarlo; Kaye, Jeffrey A.; Kim, Ronald; Jessen, Frank; Kowall, Neil W.; Vellas, Bruno; Kramer, Joel H.; Vardy, Emma; LaFerla, Frank M.; Jöckel, Karl-Heinz; Lah, James J.; Dichgans, Martin; Leverenz, James B.; Mann, David; Levey, Allan I.; Pickering-Brown, Stuart; Lieberman, Andrew P.; Klopp, Norman; Lunetta, Kathryn L.; Wichmann, H-Erich; Lyketsos, Constantine G.; Morgan, Kevin; Marson, Daniel C.; Brown, Kristelle; Martiniuk, Frank; Medway, Christopher; Mash, Deborah C.; Nöthen, Markus M.; Masliah, Eliezer; Hooper, Nigel M.; McCormick, Wayne C.; Daniele, Antonio; McCurry, Susan M.; Bayer, Anthony; McDavid, Andrew N.; Gallacher, John; McKee, Ann C.; van den Bussche, Hendrik; Mesulam, Marsel; Brayne, Carol; Miller, Bruce L.; Riedel-Heller, Steffi; Miller, Carol A.; Miller, Joshua W.; Al-Chalabi, Ammar; Morris, John C.; Shaw, Christopher E.; Myers, Amanda J.; Wiltfang, Jens; O'Bryant, Sid; Olichney, John M.; Alvarez, Victoria; Parisi, Joseph E.; Singleton, Andrew B.; Paulson, Henry L.; Collinge, John; Perry, William R.; Mead, Simon; Peskind, Elaine; Cribbs, David H.; Rossor, Martin; Pierce, Aimee; Ryan, Natalie S.; Poon, Wayne W.; Nacmias, Benedetta; Potter, Huntington; Sorbi, Sandro; Quinn, Joseph F.; Sacchinelli, Eleonora; Raj, Ashok; Spalletta, Gianfranco; Raskind, Murray; Caltagirone, Carlo; Bossù, Paola; Orfei, Maria Donata; Reisberg, Barry; Clarke, Robert; Reitz, Christiane; Smith, A. David; Ringman, John M.; Warden, Donald; Roberson, Erik D.; Wilcock, Gordon; Rogaeva, Ekaterina; Bruni, Amalia Cecilia; Rosen, Howard J.; Gallo, Maura; Rosenberg, R.N.; Ben-Shlomo, Yoav; Sager, Mark A.; Mecocci, Patrizia; Saykin, Andrew J.; Pastor, Pau; Cuccaro, Michael L.; Vance, Jeffery M.; Schneider, Julie A.; Schneider, Lori S.; Slifer, Susan; Seeley, William W.; Smith, Amanda G.; Sonnen, Joshua A.; Spina, Salvatore; Stern, Robert A.; Swerdlow, Russell H.; Tang, Mitchell; Tanzi, Rudolph E.; Trojanowski, John Q.; Troncoso, Juan C.; Van Deerlin, Vivianna M.; Van Eldik, Linda J.; Vinters, Harry V.; Vonsattel, Jean Paul; Weintraub, Sandra; Welsh-Bohmer, Kathleen A.; Wilhelmsen, Kirk C.; Williamson, Jennifer; Wingo, Thomas S.; Woltjer, Randall L.; Wright, Clinton B.; Yu, Chang-En; Yu, Lei; Saba, Yasaman; Pilotto, Alberto; Bullido, Maria J.; Peters, Oliver; Crane, Paul K.; Bennett, David; Bosco, Paola; Coto, Eliecer; Boccardi, Virginia; De Jager, Phil L.; Lleo, Alberto; Warner, Nick; Lopez, Oscar L.; Ingelsson, Martin; Deloukas, Panagiotis; Cruchaga, Carlos; Graff, Caroline; Gwilliam, Rhian; Fornage, Myriam; Goate, Alison M.; Sanchez-Juan, Pascual; Kehoe, Patrick G.; Amin, Najaf; Ertekin-Taner, Nilifur; Berr, Claudine; Debette, Stéphanie; Love, Seth; Launer, Lenore J.; Younkin, Steven G.; Dartigues, Jean-Francois; Corcoran, Chris; Ikram, M. Arfan; Dickson, Dennis W.; Nicolas, Gael; Campion, Dominique; Tschanz, JoAnn; Schmidt, Helena; Hakonarson, Hakon; Clarimon, Jordi; Munger, Ron; Schmidt, Reinhold; Farrer, Lindsay A.; Van Broeckhoven, Christine; O'Donovan, Michael C.; DeStefano, Anita L.; Jones, Lesley; Haines, Jonathan L.; Deleuze, Jean-Francois; Owen, Michael J.; Gudnason, Vilmundur; Mayeux, Richard; Escott-Price, Valentina; Psaty, Bruce M.; Ramirez, Alfredo; Wang, Li-San; Ruiz, Agustin; van Duijn, Cornelia M.; Holmans, Peter A.; Seshadri, Sudha; Williams, Julie; Amouyel, Phillippe; Schellenberg, Gerard D.; Lambert, Jean-Charles; Pericak-Vance, Margaret A.; Pathology and Laboratory Medicine, School of MedicineRisk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.Item Genome-wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology(Wiley, 2020-08-05) Nho, Kwangsik; Nudelman, Kelly; Allen, Mariet; Hodges, Angela; Kim, Sungeun; Risacher, Shannon L.; Apostolova, Liana G.; Lin, Kuang; Lunnon, Katie; Wang, Xue; Burgess, Jeremy D.; Ertekin-Taner, Nilüfer; Petersen, Ronald C.; Wang, Lisu; Qi, Zhenhao; He, Aiqing; Neuhaus, Isaac; Patel, Vishal; Foroud, Tatiana; Faber, Kelley M.; Lovestone, Simon; Simmons, Andrew; Weiner, Michael W.; Saykin, Andrew J.; Radiology and Imaging Sciences, School of MedicineINTRODUCTION: Abnormal gene expression patterns may contribute to the onset and progression of late-onset Alzheimer’s disease (LOAD). METHODS: We performed transcriptome-wide meta-analysis (N=1,440) of blood-based microarray gene expression profiles as well as neuroimaging and CSF endophenotype analysis. RESULTS: We identified and replicated five genes (CREB5, CD46, TMBIM6, IRAK3, and RPAIN) as significantly dysregulated in LOAD. The most significantly altered gene, CREB5, was also associated with brain atrophy and increased amyloid-β accumulation, especially in the entorhinal cortex region. cis-eQTL mapping analysis of CREB5 detected five significant associations (p<5x10−8), where rs56388170 (most significant) was also significantly associated with global cortical amyloid-β (Aβ) deposition measured by [18F]Florbetapir PET and CSF Aβ1-42. DISCUSSION: RNA from peripheral blood indicated a differential gene expression pattern in LOAD. Genes identified have been implicated in biological processes relevant to AD. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity and learning and memory.Item Immunity gene IFITM3 variant: Relation to cognition and Alzheimer's disease pathology(Alzheimer’s Association, 2022-06-21) Pyun, Jung-Min; Park, Young Ho; Hodges, Angela; Jang, Jae-Won; Bice, Paula J.; Kim, SangYun; Saykin, Andrew J.; Nho, Kwangsik; AddNeuroMed Consortium; Alzheimer's Disease Neuroimaging Initiative; Radiology and Imaging Sciences, School of MedicineIntroduction: We investigated single-nucleotide polymorphisms (SNPs) in IFITM3, an innate immunity gene and modulator of amyloid beta in Alzheimer's disease (AD), for association with cognition and AD biomarkers. Methods: We used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI; N = 1565) and AddNeuroMed (N = 633) as discovery and replication samples, respectively. We performed gene-based association analysis of SNPs in IFITM3 with cognitive performance and SNP-based association analysis with cognitive decline and amyloid, tau, and neurodegeneration biomarkers for AD. Results: Gene-based association analysis showed that IFITM3 was significantly associated with cognitive performance. Particularly, rs10751647 in IFITM3 was associated with less cognitive decline, less amyloid and tau burden, and less brain atrophy in ADNI. The association of rs10751647 with cognitive decline and brain atrophy was replicated in AddNeuroMed. Discussion: This suggests that rs10751647 in IFITM3 is associated with less vulnerability for cognitive decline and AD biomarkers, providing mechanistic insight regarding involvement of immunity and infection in AD. Highlights: IFITM3 is significantly associated with cognitive performance.rs10751647 in IFITM3 is associated with cognitive decline rates with replication.rs10751647 is associated with amyloid beta load, cerebrospinal fluid phosphorylated tau levels, and brain atrophy.rs10751647 is associated with IFITM3 expression levels in blood and brain.rs10751647 in IFITM3 is related to less vulnerability to Alzheimer's disease pathogenesis.