Browsing by Author "Faber, Kelley M."
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Item Asian Cohort for Alzheimer's Disease (ACAD) pilot study on genetic and non-genetic risk factors for Alzheimer's disease among Asian Americans and Canadians(Wiley, 2024) Ho, Pei-Chuan; Yu, Wai Haung; Tee, Boon Lead; Lee, Wan-Ping; Li, Clara; Gu, Yian; Yokoyama, Jennifer S.; Reyes-Dumeyer, Dolly; Choi, Yun-Beom; Yang, Hyun-Sik; Vardarajan, Badri N.; Tzuang, Marian; Lieu, Kevin; Lu, Anna; Faber, Kelley M.; Potter, Zoë D.; Revta, Carolyn; Kirsch, Maureen; McCallum, Jake; Mei, Diana; Booth, Briana; Cantwell, Laura B.; Chen, Fangcong; Chou, Sephera; Clark, Dewi; Deng, Michelle; Hong, Ting Hei; Hwang, Ling-Jen; Jiang, Lilly; Joo, Yoonmee; Kang, Younhee; Kim, Ellen S.; Kim, Hoowon; Kim, Kyungmin; Kuzma, Amanda B.; Lam, Eleanor; Lanata, Serggio C.; Lee, Kunho; Li, Donghe; Li, Mingyao; Li, Xiang; Liu, Chia-Lun; Liu, Collin; Liu, Linghsi; Lupo, Jody-Lynn; Nguyen, Khai; Pfleuger, Shannon E.; Qian, James; Qian, Winnie; Ramirez, Veronica; Russ, Kristen A.; Seo, Eun Hyun; Song, Yeunjoo E.; Tartaglia, Maria Carmela; Tian, Lu; Torres, Mina; Vo, Namkhue; Wong, Ellen C.; Xie, Yuan; Yau, Eugene B.; Yi, Isabelle; Yu, Victoria; Zeng, Xiaoyi; St. George-Hyslop, Peter; Au, Rhoda; Schellenberg, Gerard D.; Dage, Jeffrey L.; Varma, Rohit; Hsiung, Ging-Yuek R.; Rosen, Howard; Henderson, Victor W.; Foroud, Tatiana; Kukull, Walter A.; Peavy, Guerry M.; Lee, Haeok; Feldman, Howard H.; Mayeux, Richard; Chui, Helena; Jun, Gyungah R.; Ta Park, Van M.; Chow, Tiffany W.; Wang, Li-San; Medical and Molecular Genetics, School of MedicineIntroduction: Clinical research in Alzheimer's disease (AD) lacks cohort diversity despite being a global health crisis. The Asian Cohort for Alzheimer's Disease (ACAD) was formed to address underrepresentation of Asians in research, and limited understanding of how genetics and non-genetic/lifestyle factors impact this multi-ethnic population. Methods: The ACAD started fully recruiting in October 2021 with one central coordination site, eight recruitment sites, and two analysis sites. We developed a comprehensive study protocol for outreach and recruitment, an extensive data collection packet, and a centralized data management system, in English, Chinese, Korean, and Vietnamese. Results: ACAD has recruited 606 participants with an additional 900 expressing interest in enrollment since program inception. Discussion: ACAD's traction indicates the feasibility of recruiting Asians for clinical research to enhance understanding of AD risk factors. ACAD will recruit > 5000 participants to identify genetic and non-genetic/lifestyle AD risk factors, establish blood biomarker levels for AD diagnosis, and facilitate clinical trial readiness. Highlights: The Asian Cohort for Alzheimer's Disease (ACAD) promotes awareness of under-investment in clinical research for Asians. We are recruiting Asian Americans and Canadians for novel insights into Alzheimer's disease. We describe culturally appropriate recruitment strategies and data collection protocol. ACAD addresses challenges of recruitment from heterogeneous Asian subcommunities. We aim to implement a successful recruitment program that enrolls across three Asian subcommunities.Item Asian Cohort for Alzheimer’s Disease (ACAD) Study on Genetic and Non‐Genetic Risk Factors for Alzheimer’s Disease among Asian Americans and Canadians(Wiley, 2025-01-09) Wang, Li-San; Ho, Pei-Chuan; Tee, Boon Lead; Li, Clara; Gu, Yian; Yokoyama, Jennifer S.; Reyes-Dumeyer, Dolly; Faber, Kelley M.; Lee, Wan-Ping; Song, Yeunjoo E.; Tzuang, Marian; Vardarajan, Badri N.; Yang, Hyun-Sik; Choi, Yun-Beom; Feldman, Howard H.; Grill, Joshua D.; Henderson, Victor W.; Hsiung, Ging-Yuek Robin; Mayeux, Richard; Rosen, Howard J.; Varma, Rohit; Foroud, Tatiana M.; Kukull, Walter A.; Peavy, Guerry M.; Lee, Haeok; Yu, W. Haung; Chui, Helena C.; Jun, Gyungah R.; Park, Van Ta; Chow, Tiffany W.; The Asian Cohort for Alzheimer’s Disease Study; Medicine, School of MedicineBackground: Asian Americans and Asian Canadians (ASACs) are the fastest growing minority group in the US and Canada. However, ASACs are under‐sampled in Alzheimer’s disease (AD) research. To address the need of culturally appropriate clinical protocols and community‐based recruitment approaches for ASACs, the Asian Cohort for Alzheimer’s Disease (ACAD), the first large dementia genetics cohort focusing on Chinese, Korean, and Vietnamese, launched in 2021 to examine genetic and non‐genetic risk factors for AD among ASACs. Our clinical and community‐based participatory research (CPBR) scientists have a long collaborative history and diverse cultural and scientific training backgrounds: both are critical in leading AD and CBPR research. Method: Upon receipt of an NIA U19 grant in 2023, ACAD has expanded to 9 recruiting sites (7 US and 2 Canadian), a coordinating site, and an analysis site with a centralized data management system. ACAD developed a comprehensive study protocol including community outreach and recruitment strategies, the data collection packet (DCP), pre‐screening and sample collection procedures, and in English, Chinese (Mandarin and Cantonese), Korean, and Vietnamese. To ensure consistency, ACAD implemented a training curriculum for data/sample collect and for culturally appropriate recruitment approaches in collaboration with community partners, clinics, and nursing homes serving Asian communities. Result: As of December 2023, more than 2,400 people expressed interests in ACAD. A total of 683 of the 899 consented participants completed DCP data into the REDCap (604 Chinese, 54 Korean, and 25 Vietnamese), while 399 saliva samples and 285 blood samples were received. Participants aged 60 –103 years at enrollment, 67% were female, and 47% reported having a college or above education. Currently, ACAD is revising the study protocol in response to feedback received in its pilot phase, including the need to include additional neuropsychological tests and cultural tailored lifestyle questionnaires with an emphasis on immigration experiences. Conclusion: The ACAD team (including community partners) have learned valuable lessons and demonstrated the feasibility of recruiting ASACs in clinical research. With an expansion plan and in collaboration with other AD research focuses on racial minority populations, insights from ACAD may identify potential novel, population‐specific therapeutic pathways for AD.Item Beyond GWAS: Investigating Structural Variants and Their Segregation in Familial Alzheimer’s Disease(Wiley, 2025-01-09) Gunasekaran, Tamil Iniyan; Reyes-Dumeyer, Dolly; Corvelo, André; Clarke, Wayne E.; Evani, Uday S.; Byrska-Bishop, Marta S.; Basile, Anna O.; Runnels, Alexi; Musunuri, Rajeeva O.; Narzisi, Giuseppe; Faber, Kelley M.; Goate, Alison M.; Boeve, Brad F.; Cruchaga, Carlos; Pericak-Vance, Margaret A.; Haines, Jonathan L.; Rosenberg, Roger N.; Tsuang, Debby W.; Rivera Mejia, Diones; Medrano, Martin; Lantigua, Rafael A.; Sweet, Robert; Bennett, David A.; Wilson, Robert S.; Foroud, Tatiana M.; Dalgard, Clifton L.; Mayeux, Richard; Zody, Michael; Vardarajan, Badri N.; Medical and Molecular Genetics, School of MedicineBackground: Late‐Onset Alzheimer’s Disease (LOAD) is characterized by genetic heterogeneity and there is no single model explaining the genetic mode of inheritance. To date, more than 70 genetic loci associated with AD have been identified but they explain only a small proportion of AD heritability. Structural variants (SVs) may explain some of the missing AD heritability, and specifically, their segregation in AD families has yet to be investigated. Method: We analyzed WGS data from 197 NHW families (926 subjects, 58.5% affected) and 214 CH families (1,340 subjects, 59.17% affected). Manta, Absinthe, and MELT were used for large insertions/deletions calling from short‐read WGS, combined with Sniffles2 calls from 4 ONT‐sequenced genomes and an external SV call set from HGSVC on 32 PacBio‐sequenced genomes from the 1000 Genomes Project. Genotyping produced a unified project‐level VCF. We identified 45,251 insertions and 76,566 deletions genome‐wide. Variants were tested for segregation and pathogenicity using Annot‐SV, cadd‐SV, and Variant Effect Predictor. Segregation required SV presence in all affected family members and only in unaffected members five years younger than average disease onset. Result: We identified 453 insertions and 598 deletions segregating in 78.68% and 87.31% of NHW families, respectively. In CH families, 432 insertions and 460 deletions were segregating in 75.23% and 72.90% of the families, respectively. Genes overlapping with the SVs exhibited high expression levels in brain tissues. Notably, around 93% of insertions and 76% of deletions segregating in NHW and CH families were less than 1 kilobase pair (1kbp) in length. A total of 79 insertions and 96 deletions were found to be segregating in both NHW and CH families. Interestingly, a segregating insertion was observed in CH families overlapping within the CACNA2D3 gene, which was previously reported in a CH GWAS for clinical AD. A deletion segregating in NHW overlapped with the PSEN1, and another in a CH family overlapped with the PTK2B gene. Conclusion: Our findings suggested that there are several SVs associated with familial AD across CH and NHW families. Prioritizing the SVs based on their effects on gene function and expression will be helpful in understanding their contributions in AD.Item Cerebrospinal fluid biomarkers in the Longitudinal Early-onset Alzheimer's Disease Study(Wiley, 2023) Dage, Jeffrey L.; Eloyan, Ani; Thangarajah, Maryanne; Hammers, Dustin B.; Fagan, Anne M.; Gray, Julia D.; Schindler, Suzanne E.; Snoddy, Casey; Nudelman, Kelly N. H.; Faber, Kelley M.; Foroud, Tatiana; Aisen, Paul; Griffin, Percy; Grinberg, Lea T.; Iaccarino, Leonardo; Kirby, Kala; Kramer, Joel; Koeppe, Robert; Kukull, Walter A.; La Joie, Renaud; Mundada, Nidhi S.; Murray, Melissa E.; Rumbaugh, Malia; Soleimani-Meigooni, David N.; Toga, Arthur W.; Touroutoglou, Alexandra; Vemuri, Prashanthi; Atri, Alireza; Beckett, Laurel A.; Day, Gregory S.; Graff-Radford, Neill R.; Duara, Ranjan; Honig, Lawrence S.; Jones, David T.; Masdeu, Joseph C.; Mendez, Mario F.; Musiek, Erik; Onyike, Chiadi U.; Riddle, Meghan; Rogalski, Emily; Salloway, Stephen; Sha, Sharon J.; Turner, Raymond S.; Wingo, Thomas S.; Wolk, David A.; Womack, Kyle B.; Carrillo, Maria C.; Dickerson, Bradford C.; Rabinovici, Gil D.; Apostolova, Liana G.; LEADS Consortium; Neurology, School of MedicineIntroduction: One goal of the Longitudinal Early Onset Alzheimer's Disease Study (LEADS) is to define the fluid biomarker characteristics of early-onset Alzheimer's disease (EOAD). Methods: Cerebrospinal fluid (CSF) concentrations of Aβ1-40, Aβ1-42, total tau (tTau), pTau181, VILIP-1, SNAP-25, neurogranin (Ng), neurofilament light chain (NfL), and YKL-40 were measured by immunoassay in 165 LEADS participants. The associations of biomarker concentrations with diagnostic group and standard cognitive tests were evaluated. Results: Biomarkers were correlated with one another. Levels of CSF Aβ42/40, pTau181, tTau, SNAP-25, and Ng in EOAD differed significantly from cognitively normal and early-onset non-AD dementia; NfL, YKL-40, and VILIP-1 did not. Across groups, all biomarkers except SNAP-25 were correlated with cognition. Within the EOAD group, Aβ42/40, NfL, Ng, and SNAP-25 were correlated with at least one cognitive measure. Discussion: This study provides a comprehensive analysis of CSF biomarkers in sporadic EOAD that can inform EOAD clinical trial design.Item Convergent genetic and expression data implicate immunity in Alzheimer's disease(Elsevier, 2015-06) Jones, Lesley; Lambert, Jean-Charles; Wang, Li-San; Choi, Seung-Hoan; Harold, Denise; Vedernikov, Alexey; Escott-Price, Valentina; Stone, Timothy; Richards, Alexander; Bellenguez, Céline; Ibrahim-Verbaas, Carla A.; Naj, Adam C.; Sims, Rebecca; Gerrish, Amy; Jun, Gyungah; DeStefano, Anita L.; Bis, Joshua C.; Beecham, Gary W.; Grenier-Boley, Benjamin; Russo, Giancarlo; Thornton-Wells, Tricia A.; Jones, Nicola; Smith, Albert V.; Chouraki, Vincent; Thomas, Charlene; Ikram, M. Arfan; Zelenika, Diana; Vardarajan, Badri N.; Kamatani, Yoichiro; Lin, Chiao-Feng; Schmidt, Helena; Kunkle, Brian; Dunstan, Melanie L.; Ruiz, Agustin; Bihoreau, Marie-Thérèse; Reitz, Christiane; Pasquier, Florence; Hollingworth, Paul; Hanon, Olivier; Fitzpatrick, Annette L.; Buxbaum, Joseph D.; Campion, Dominique; Crane, Paul K.; Becker, Tim; Gudnason, Vilmundur; Cruchaga, Carlos; Craig, David; Amin, Najaf; Berr, Claudine; Lopez, Oscar L.; De Jager, Philip L.; Deramecourt, Vincent; Johnston, Janet A.; Evans, Denis; Lovestone, Simon; Letteneur, Luc; Kornhuber, Johanes; Tárraga, Lluís; Rubinsztein, David C.; Eiriksdottir, Gudny; Sleegers, Kristel; Goate, Alison M.; Fiévet, Nathalie; Huentelman, Matthew J.; Gill, Michael; Emilsson, Valur; Brown, Kristelle; Kamboh, M. Ilyas; Keller, Lina; Barberger-Gateau, Pascale; McGuinness, Bernadette; Larson, Eric B.; Myers, Amanda J.; Dufouil, Carole; Todd, Stephen; Wallon, David; Love, Seth; Kehoe, Pat; Rogaeva, Ekaterina; Gallacher, John; George-Hyslop, Peter St; Clarimon, Jordi; Lleὀ, Alberti; Bayer, Anthony; Tsuang, Debby W.; Yu, Lei; Tsolaki, Magda; Bossù, Paola; Spalletta, Gianfranco; Proitsi, Petra; Collinge, John; Sorbi, Sandro; Garcia, Florentino Sanchez; Fox, Nick; Hardy, John; Naranjo, Maria Candida Deniz; Razquin, Cristina; Bosco, Paola; Clarke, Robert; Brayne, Carol; Galimberti, Daniela; Mancuso, Michelangelo; Moebus, Susanne; Mecocci, Patrizia; del Zompo, Maria; Maier, Wolfgang; Hampel, Harald; Pilotto, Alberto; Bullido, Maria; Panza, Francesco; Caffarra, Paolo; Nacmias, Benedetta; Gilbert, John R.; Mayhaus, Manuel; Jessen, Frank; Dichgans, Martin; Lannfelt, Lars; Hakonarson, Hakon; Pichler, Sabrina; Carrasquillo, Minerva M.; Ingelsson, Martin; Beekly, Duane; Alavarez, Victoria; Zou, Fanggeng; Valladares, Otto; Younkin, Steven G.; Coto, Eliecer; Hamilton-Nelson, Kara L.; Mateo, Ignacio; Owen, Michael J.; Faber, Kelley M.; Jonsson, Palmi V.; Combarros, Onofre; O'Donovan, Michael C.; Cantwell, Laura B.; Soininen, Hilkka; Blacker, Deborah; Mead, Simon; Mosley, Thomas H.; Bennett, David A.; Harris, Tamara B.; Fratiglioni, Laura; Holmes, Clive; de Bruijn, Renee FAG; Passmore, Peter; Montine, Thomas J.; Bettens, Karolien; Rotter, Jerome I.; Brice, Alexis; Morgan, Kevin; Foroud, Tatiana M.; Kukull, Walter A.; Hannequin, Didier; Powell, John F.; Nalls, Michael A.; Ritchie, Karen; Lunetta, Kathryn L.; Kauwe, John SK; Boerwinkle, Eric; Riemenschneider, Matthias; Boada, Mercè; Hiltunen, Mikko; Martin, Eden R.; Pastor, Pau; Schmidt, Reinhold; Rujescu, Dan; Dartigues, Jean-François; Mayeux, Richard; Tzourio, Christophe; Hofman, Albert; Nöthen, Markus M.; Graff, Caroline; Psaty, Bruce M.; Haines, Jonathan L.; Lathrop, Mark; Pericak-Vance, Margaret A.; Launer, Lenore J.; Farrer, Lindsay A.; van Duijn, Cornelia M.; Van Broekhoven, Christine; Ramirez, Alfredo; Schellenberg, Gerard D.; Seshadri, Sudha; Amouyel, Philippe; Williams, Julie; Holmans, Peter A.; Department of Medical & Molecular Genetics, IU School of MedicineBackground Late–onset Alzheimer's disease (AD) is heritable with 20 genes showing genome wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease we extended these genetic data in a pathway analysis. Methods The ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain. Results ALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response (p = 3.27×10-12 after multiple testing correction for pathways), regulation of endocytosis (p = 1.31×10-11), cholesterol transport (p = 2.96 × 10-9) and proteasome-ubiquitin activity (p = 1.34×10-6). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected p 0.002 – 0.05). Conclusions The immune response, regulation of endocytosis, cholesterol transport and protein ubiquitination represent prime targets for AD therapeutics.Item Cross-Sectional Exploration of Plasma Biomarkers of Alzheimer's Disease in Down Syndrome: Early Data from the Longitudinal Investigation for Enhancing Down Syndrome Research (LIFE-DSR) Study(MDPI, 2021-04-28) Hendrix, James A.; Airey, David C.; Britton, Angela; Burke, Anna D.; Capone, George T.; Chavez, Ronelyn; Chen, Jacqueline; Chicoine, Brian; Costa, Alberto C.S.; Dage, Jeffrey L.; Doran, Eric; Esbensen, Anna; Evans, Casey L.; Faber, Kelley M.; Foroud, Tatiana M.; Hart, Sarah; Haugen, Kelsey; Head, Elizabeth; Hendrix, Suzanne; Hillerstrom, Hampus; Kishnani, Priya S.; Krell, Kavita; Ledesma, Duvia Lara; Lai, Florence; Lott, Ira; Ochoa-Lubinoff, Cesar; Mason, Jennifer; Nicodemus-Johnson, Jessie; Proctor, Nicholas Kyle; Pulsifer, Margaret B.; Revta, Carolyn; Rosas, H. Diana; Rosser, Tracie C.; Santoro, Stephanie; Schafer, Kim; Scheidemantel, Thomas; Schmitt, Frederick; Skotko, Brian G.; Stasko, Melissa R.; Talboy, Amy; Torres, Amy; Wilmes, Kristi; Woodward, Jason; Zimmer, Jennifer A.; Feldman, Howard H.; Mobley, William; Medical and Molecular Genetics, School of MedicineWith improved healthcare, the Down syndrome (DS) population is both growing and aging rapidly. However, with longevity comes a very high risk of Alzheimer's disease (AD). The LIFE-DSR study (NCT04149197) is a longitudinal natural history study recruiting 270 adults with DS over the age of 25. The study is designed to characterize trajectories of change in DS-associated AD (DS-AD). The current study reports its cross-sectional analysis of the first 90 subjects enrolled. Plasma biomarkers phosphorylated tau protein (p-tau), neurofilament light chain (NfL), amyloid β peptides (Aβ1-40, Aβ1-42), and glial fibrillary acidic protein (GFAP) were undertaken with previously published methods. The clinical data from the baseline visit include demographics as well as the cognitive measures under the Severe Impairment Battery (SIB) and Down Syndrome Mental Status Examination (DS-MSE). Biomarker distributions are described with strong statistical associations observed with participant age. The biomarker data contributes to understanding DS-AD across the spectrum of disease. Collectively, the biomarker data show evidence of DS-AD progression beginning at approximately 40 years of age. Exploring these data across the full LIFE-DSR longitudinal study population will be an important resource in understanding the onset, progression, and clinical profiles of DS-AD pathophysiology.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 Missense and loss-of-function variants at GWAS loci in familial Alzheimer's disease(Wiley, 2024) Gunasekaran, Tamil Iniyan; Reyes-Dumeyer, Dolly; Faber, Kelley M.; Goate, Alison; Boeve, Brad; Cruchaga, Carlos; Pericak-Vance, Margaret; Haines, Jonathan L.; Rosenberg, Roger; Tsuang, Debby; Mejia, Diones Rivera; Medrano, Martin; Lantigua, Rafael A.; Sweet, Robert A.; Bennett, David A.; Wilson, Robert S.; Alba, Camille; Dalgard, Clifton; Foroud, Tatiana; Vardarajan, Badri N.; Mayeux, Richard; Medical and Molecular Genetics, School of MedicineBackground: Few rare variants have been identified in genetic loci from genome-wide association studies (GWAS) of Alzheimer's disease (AD), limiting understanding of mechanisms, risk assessment, and genetic counseling. Methods: Using genome sequencing data from 197 families in the National Institute on Aging Alzheimer's Disease Family Based Study and 214 Caribbean Hispanic families, we searched for rare coding variants within known GWAS loci from the largest published study. Results: Eighty-six rare missense or loss-of-function (LoF) variants completely segregated in 17.5% of families, but in 91 (22.1%) families Apolipoprotein E (APOE)-𝜀4 was the only variant segregating. However, in 60.3% of families, APOE 𝜀4, missense, and LoF variants were not found within the GWAS loci. Discussion: Although APOE 𝜀4and several rare variants were found to segregate in both family datasets, many families had no variant accounting for their disease. This suggests that familial AD may be the result of unidentified rare variants. Highlights: Rare coding variants from GWAS loci segregate in familial Alzheimer's disease. Missense or loss of function variants were found segregating in nearly 7% of families. APOE-𝜀4 was the only segregating variant in 29.7% in familial Alzheimer's disease. In Hispanic and non-Hispanic families, different variants were found in segregating genes. No coding variants were found segregating in many Hispanic and non-Hispanic families.Item A Multiancestral Genome-Wide Exome Array Study of Alzheimer Disease, Frontotemporal Dementia, and Progressive Supranuclear Palsy(2015-04) Chen, Jason A.; Wang, Qing; Davis-Turak, Jeremy; Li, Yun; Karydas, Anna M.; Hsu, Sandy C.; Sears, Renee L.; Chatzopoulou, Doxa; Huang, Alden Y.; Wojta, Kevin J.; Klein, Eric; Lee, Jason; Beekly, Duane L.; Boxer, Adam; Faber, Kelley M.; Haase, Claudia M.; Miller, Josh; Poon, Wayne W.; Rosen, Ami; Rosen, Howard; Sapozhnikova, Anna; Shapira, Jill; Varpetian, Arousiak; Foroud, Tatiana M.; Levenson, Robert W.; Levey, Allan I.; Kukull, Walter A.; Mendez, Mario F.; Ringman, John; Chui, Helena; Cotman, Carl; DeCarli, Charles; Miller, Bruce L.; Geschwind, Daniel H.; Coppola, Giovanni; Department of Medical and Molecular Genetics, IU School of MedicineImportance Previous studies have indicated a heritable component of the etiology of neurodegenerative diseases such as Alzheimer disease (AD), frontotemporal dementia (FTD), and progressive supranuclear palsy (PSP). However, few have examined the contribution of low-frequency coding variants on a genome-wide level. Objective To identify low-frequency coding variants that affect susceptibility to AD, FTD, and PSP. Design, Setting, and Participants We used the Illumina HumanExome BeadChip array to genotype a large number of variants (most of which are low-frequency coding variants) in a cohort of patients with neurodegenerative disease (224 with AD, 168 with FTD, and 48 with PSP) and in 224 control individuals without dementia enrolled between 2005-2012 from multiple centers participating in the Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease (GIFT) Study. An additional multiancestral replication cohort of 240 patients with AD and 240 controls without dementia was used to validate suggestive findings. Variant-level association testing and gene-based testing were performed. Main Outcomes and Measures Statistical association of genetic variants with clinical diagnosis of AD, FTD, and PSP. Results Genetic variants typed by the exome array explained 44%, 53%, and 57% of the total phenotypic variance of AD, FTD, and PSP, respectively. An association with the known AD gene ABCA7 was replicated in several ancestries (discovery P = .0049, European P = .041, African American P = .043, and Asian P = .027), suggesting that exonic variants within this gene modify AD susceptibility. In addition, 2 suggestive candidate genes, DYSF (P = 5.53 × 10−5) and PAXIP1 (P = 2.26 × 10−4), were highlighted in patients with AD and differentially expressed in AD brain. Corroborating evidence from other exome array studies and gene expression data points toward potential involvement of these genes in the pathogenesis of AD. Conclusions and Relevance Low-frequency coding variants with intermediate effect size may account for a significant fraction of the genetic susceptibility to AD and FTD. Furthermore, we found evidence that coding variants in the known susceptibility gene ABCA7, as well as candidate genes DYSF and PAXIP1, confer risk for AD.