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1. Large‐scale deep proteomic analysis in Alzheimer's disease brain regions across race and ethnicity

Author

Seifar, Fatemeh, Fox, Edward J, Shantaraman, Anantharaman, Liu, Yue, Dammer, Eric B, Modeste, Erica, Duong, Duc M, Yin, Luming, Trautwig, Adam N, Guo, Qi, Xu, Kaiming, Ping, Lingyan, Reddy, Joseph S, Allen, Mariet, Quicksall, Zachary, Heath, Laura, Scanlan, Jo, Wang, Erming, Wang, Minghui, Vander Linden, Abby, Poehlman, William, Chen, Xianfeng, Baheti, Saurabh, Ho, Charlotte, Nguyen, Thuy, Yepez, Geovanna, Mitchell, Adriana O, Oatman, Stephanie R, Wang, Xue, Carrasquillo, Minerva M, Runnels, Alexi, Beach, Thomas, Serrano, Geidy E, Dickson, Dennis W, Lee, Edward B, Golde, Todd E, Prokop, Stefan, Barnes, Lisa L, Zhang, Bin, Haroutunian, Varham, Gearing, Marla, Lah, James J, De Jager, Philip, Bennett, David A, Greenwood, Anna, Ertekin‐Taner, Nilüfer, Levey, Allan I, Wingo, Aliza, Wingo, Thomas, and Seyfried, Nicholas T

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Health Disparities, Aging, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Minority Health, Dementia, Acquired Cognitive Impairment, Alzheimer's Disease, Neurodegenerative, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Aged, Aged, 80 and over, Female, Humans, Male, Alzheimer Disease, Amyloid beta-Peptides, Black or African American, Brain, Ethnicity, Hispanic or Latino, Proteome, Proteomics, tau Proteins, White, Alzheimer's disease, data descriptor, diversity, precision medicine, proteome, proteomics, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionAlzheimer's disease (AD) is the most prevalent neurodegenerative disease, yet our comprehension predominantly relies on studies within non-Hispanic White (NHW) populations. Here we provide an extensive survey of the proteomic landscape of AD across diverse racial/ethnic groups.MethodsTwo cortical regions, from multiple centers, were harmonized by uniform neuropathological diagnosis. Among 998 unique donors, 273 donors self-identified as African American, 229 as Latino American, and 434 as NHW.ResultsWhile amyloid precursor protein and the microtubule-associated protein tau demonstrated higher abundance in AD brains, no significant race-related differences were observed. Further proteome-wide and focused analyses (specific amyloid beta [Aβ] species and the tau domains) supported the absence of racial differences in these AD pathologies within the brain proteome.DiscussionOur findings indicate that the racial differences in AD risk and clinical presentation are not underpinned by dramatically divergent patterns in the brain proteome, suggesting that other determinants account for these clinical disparities.HighlightsWe present a large-scale proteome (∼10,000 proteins) of DLPFC (998) and STG (244) across AD cases. About 50% of samples were from racially and ethnically diverse brain donors. Key AD proteins (amyloid and tau) correlated with CERAD and Braak stages. No significant race-related differences in amyloid and tau protein levels were observed in AD brains. AD-associated protein changes showed a strong correlation between the brain proteomes of African American and White individuals. This dataset advances understanding of ethnoracial-specific AD pathways and potential therapies.

Published
2024

2. Bridging the gap: Multi‐omics profiling of brain tissue in Alzheimer's disease and older controls in multi‐ethnic populations

Author

Reddy, Joseph S, Heath, Laura, Vander Linden, Abby, Allen, Mariet, de Paiva Lopes, Katia, Seifar, Fatemeh, Wang, Erming, Ma, Yiyi, Poehlman, William L, Quicksall, Zachary S, Runnels, Alexi, Wang, Yanling, Duong, Duc M, Yin, Luming, Xu, Kaiming, Modeste, Erica S, Shantaraman, Anantharaman, Dammer, Eric B, Ping, Lingyan, Oatman, Stephanie R, Scanlan, Jo, Ho, Charlotte, Carrasquillo, Minerva M, Atik, Merve, Yepez, Geovanna, Mitchell, Adriana O, Nguyen, Thuy T, Chen, Xianfeng, Marquez, David X, Reddy, Hasini, Xiao, Harrison, Seshadri, Sudha, Mayeux, Richard, Prokop, Stefan, Lee, Edward B, Serrano, Geidy E, Beach, Thomas G, Teich, Andrew F, Haroutunian, Varham, Fox, Edward J, Gearing, Marla, Wingo, Aliza, Wingo, Thomas, Lah, James J, Levey, Allan I, Dickson, Dennis W, Barnes, Lisa L, De Jager, Philip, Zhang, Bin, Bennett, David, Seyfried, Nicholas T, Greenwood, Anna K, and Ertekin‐Taner, Nilüfer

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Brain Disorders, Genetics, Precision Medicine, Acquired Cognitive Impairment, Dementia, Aging, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Neurodegenerative, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Good Health and Well Being, Aged, Aged, 80 and over, Female, Humans, Male, Alzheimer Disease, Black or African American, Brain, Ethnicity, Hispanic or Latino, Multiomics, Transcriptome, White, Alzheimer's disease, data descriptor, multi‐omics, precision medicine, proteome, transcriptome, whole genome sequencing, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionMulti-omics studies in Alzheimer's disease (AD) revealed many potential disease pathways and therapeutic targets. Despite their promise of precision medicine, these studies lacked Black Americans (BA) and Latin Americans (LA), who are disproportionately affected by AD.MethodsTo bridge this gap, Accelerating Medicines Partnership in Alzheimer's Disease (AMP-AD) expanded brain multi-omics profiling to multi-ethnic donors.ResultsWe generated multi-omics data and curated and harmonized phenotypic data from BA (n = 306), LA (n = 326), or BA and LA (n = 4) brain donors plus non-Hispanic White (n = 252) and other (n = 20) ethnic groups, to establish a foundational dataset enriched for BA and LA participants. This study describes the data available to the research community, including transcriptome from three brain regions, whole genome sequence, and proteome measures.DiscussionThe inclusion of traditionally underrepresented groups in multi-omics studies is essential to discovering the full spectrum of precision medicine targets that will be pertinent to all populations affected with AD.HighlightsAccelerating Medicines Partnership in Alzheimer's Disease Diversity Initiative led brain tissue profiling in multi-ethnic populations. Brain multi-omics data is generated from Black American, Latin American, and non-Hispanic White donors. RNA, whole genome sequencing and tandem mass tag proteomicsis completed and shared. Multiple brain regions including caudate, temporal and dorsolateral prefrontal cortex were profiled.

Published
2024

3. Whole genome‐wide sequence analysis of long‐lived families (Long‐Life Family Study) identifies MTUS2 gene associated with late‐onset Alzheimer's disease

Author

Xicota, Laura, Cosentino, Stephanie, Vardarajan, Badri, Mayeux, Richard, Perls, Thomas T, Andersen, Stacy L, Zmuda, Joseph M, Thyagarajan, Bharat, Yashin, Anatoli, Wojczynski, Mary K, Krinsky‐McHale, Sharon, Handen, Benjamin L, Christian, Bradley T, Head, Elizabeth, Mapstone, Mark E, Schupf, Nicole, Lee, Joseph H, Barral, Sandra, Study, the Long‐Life Family, Abner, Erin, Adams, Perrie M, Aguirre, Alyssa, Albert, Marilyn S, Albin, Roger L, Allen, Mariet, Alvarez, Lisa, Andrews, Howard, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Ayres, Gayle, Barber, Robert C, Barnes, Lisa L, Bartlett, Jackie, Beach, Thomas G, Becker, James T, Beecham, Gary W, Benchek, Penelope, Bennett, David A, Bertelson, John, Biber, Sarah A, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Brewer, James B, Burke, James R, Burns, Jeffrey M, Bush, William S, Buxbaum, Joseph D, Byrd, Goldie, Cantwell, Laura B, Cao, Chuanhai, Carlsson, Cynthia M, Carrasquillo, Minerva M, Chan, Kwun C, Chasse, Scott, Chen, Yen‐Chi, Chesselet, Marie‐Francoise, Chin, Nathaniel A, Chui, Helena C, Chung, Jaeyoon, Craft, Suzanne, Crane, Paul K, Cranney, Marissa, Cruchaga, Carlos, Cuccaro, Michael L, Culhane, Jessica, Cullum, C Munro, Darby, Eveleen, Davis, Barbara, De Jager, Philip L, DeCarli, Charles, DeToledo, John C, Dickson, Dennis W, Dobbins, Nic, Duara, Ranjan, Ertekin‐Taner, Nilufer, Evans, Denis A, Faber, Kelley M, Fairchild, Thomas J, Fallin, Daniele, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Farrell, John, Farrer, Lindsay A, Fernandez‐Hernandez, Victoria, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gamboa, Adriana, Gauthreaux, Kathryn M, Gefen, Tamar, Geschwind, Daniel H, Ghetti, Bernardino, and Gilbert, John R

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Neurodegenerative, Dementia, Alzheimer's Disease, Genetics, Aging, Brain Disorders, Acquired Cognitive Impairment, Human Genome, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Neurological, Humans, Alzheimer Disease, Amyloid beta-Peptides, Genetic Predisposition to Disease, Genome-Wide Association Study, Microtubule-Associated Proteins, Polymorphism, Single Nucleotide, Sequence Analysis, genetic risk, late-onset Alzheimer's disease, microtubule protein, MTUS2 gene, whole genome sequence, Long‐Life Family Study, Alzheimer's Disease Genetic Consortium, Alzheimer's Biomarkers Consortium‐Down Syndrome, late‐onset Alzheimer's disease, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionLate-onset Alzheimer's disease (LOAD) has a strong genetic component. Participants in Long-Life Family Study (LLFS) exhibit delayed onset of dementia, offering a unique opportunity to investigate LOAD genetics.MethodsWe conducted a whole genome sequence analysis of 3475 LLFS members. Genetic associations were examined in six independent studies (N = 14,260) with a wide range of LOAD risk. Association analysis in a sub-sample of the LLFS cohort (N = 1739) evaluated the association of LOAD variants with beta amyloid (Aβ) levels.ResultsWe identified several single nucleotide polymorphisms (SNPs) in tight linkage disequilibrium within the MTUS2 gene associated with LOAD (rs73154407, p = 7.6 × 10-9). Association of MTUS2 variants with LOAD was observed in the five independent studies and was significantly stronger within high levels of Aβ42/40 ratio compared to lower amyloid.DiscussionMTUS2 encodes a microtubule associated protein implicated in the development and function of the nervous system, making it a plausible candidate to investigate LOAD biology.HighlightsLong-Life Family Study (LLFS) families may harbor late onset Alzheimer's dementia (LOAD) variants. LLFS whole genome sequence analysis identified MTUS2 gene variants associated with LOAD. The observed LLFS variants generalized to cohorts with wide range of LOAD risk. The association of MTUS2 with LOAD was stronger within high levels of beta amyloid. Our results provide evidence for MTUS2 gene as a novel LOAD candidate locus.

Published
2024

4. Genome‐wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology

Author

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, and Initiative, for the Alzheimer's Disease Neuroimaging

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Alzheimer's Disease, Human Genome, Neurodegenerative, Genetics, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Brain Disorders, Aging, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Neurological, Aged, Alzheimer Disease, Amyloid beta-Peptides, Aniline Compounds, Atrophy, Brain, Cyclic AMP Response Element-Binding Protein A, Entorhinal Cortex, Ethylene Glycols, Female, Gene Expression Profiling, Genotyping Techniques, Humans, Male, Positron-Emission Tomography, Alzheimer's disease, amyloid beta, ADNI, CREB5, imaging genetics, microarray gene expression, Alzheimer's Disease Neuroimaging Initiative, amyloid β, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionAbnormal gene expression patterns may contribute to the onset and progression of late-onset Alzheimer's disease (LOAD).MethodsWe performed transcriptome-wide meta-analysis (N = 1440) of blood-based microarray gene expression profiles as well as neuroimaging and cerebrospinal fluid (CSF) endophenotype analysis.ResultsWe 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 beta (Aβ) accumulation, especially in the entorhinal cortex region. cis-expression quantitative trait loci mapping analysis of CREB5 detected five significant associations (P < 5 × 10-8 ), where rs56388170 (most significant) was also significantly associated with global cortical Aβ deposition measured by [18 F]Florbetapir positron emission tomography and CSF Aβ1-42 .DiscussionRNA from peripheral blood indicated a differential gene expression pattern in LOAD. Genes identified have been implicated in biological processes relevant to Alzheimer's disease. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity, and learning and memory.

Published
2020

5. Conserved brain myelination networks are altered in Alzheimer's and other neurodegenerative diseases

Author

Allen, Mariet, Wang, Xue, Burgess, Jeremy D, Watzlawik, Jens, Serie, Daniel J, Younkin, Curtis S, Nguyen, Thuy, Malphrus, Kimberly G, Lincoln, Sarah, Carrasquillo, Minerva M, Ho, Charlotte, Chakrabarty, Paramita, Strickland, Samantha, Murray, Melissa E, Swarup, Vivek, Geschwind, Daniel H, Seyfried, Nicholas T, Dammer, Eric B, Lah, James J, Levey, Allan I, Golde, Todd E, Funk, Cory, Li, Hongdong, Price, Nathan D, Petersen, Ronald C, Graff‐Radford, Neill R, Younkin, Steven G, Dickson, Dennis W, Crook, Julia R, Asmann, Yan W, and Ertekin‐Taner, Nilüfer

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Aging, Acquired Cognitive Impairment, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Neurodegenerative, Alzheimer's Disease, 2.1 Biological and endogenous factors, Aetiology, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Alzheimer Disease, Brain, Cohort Studies, Computational Biology, Female, Gene Expression Regulation, Genetic Predisposition to Disease, Humans, Male, Myelin Sheath, Neurons, Supranuclear Palsy, Progressive, Transcriptome, Proteinopathies, Alzheimer's disease, Progressive supranuclear palsy, Myelination, Coexpression networks, Temporal cortex, Cerebellum, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionComparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways.MethodsWe analyzed 940 brain transcriptomes including patients with AD, progressive supranuclear palsy (PSP; a primary tauopathy), and control subjects.ResultsWe identified transcriptional coexpression networks implicated in myelination, which were lower in PSP temporal cortex (TCX) compared with AD. Some of these associations were retained even after adjustments for brain cell population changes. These TCX myelination network structures were preserved in cerebellum but they were not differentially expressed in cerebellum between AD and PSP. Myelination networks were downregulated in both AD and PSP, when compared with control TCX samples.DiscussionDownregulation of myelination networks may underlie both PSP and AD pathophysiology, but may be more pronounced in PSP. These data also highlight conservation of transcriptional networks across brain regions and the influence of cell type changes on these networks.

Published
2018

6. Transethnic genome‐wide scan identifies novel Alzheimer's disease loci

Author

Jun, Gyungah R, Chung, Jaeyoon, Mez, Jesse, Barber, Robert, Beecham, Gary W, Bennett, David A, Buxbaum, Joseph D, Byrd, Goldie S, Carrasquillo, Minerva M, Crane, Paul K, Cruchaga, Carlos, De Jager, Philip, Ertekin‐Taner, Nilufer, Evans, Denis, Fallin, M Danielle, Foroud, Tatiana M, Friedland, Robert P, Goate, Alison M, Graff‐Radford, Neill R, Hendrie, Hugh, Hall, Kathleen S, Hamilton‐Nelson, Kara L, Inzelberg, Rivka, Kamboh, M Ilyas, Kauwe, John SK, Kukull, Walter A, Kunkle, Brian W, Kuwano, Ryozo, Larson, Eric B, Logue, Mark W, Manly, Jennifer J, Martin, Eden R, Montine, Thomas J, Mukherjee, Shubhabrata, Naj, Adam, Reiman, Eric M, Reitz, Christiane, Sherva, Richard, St. George‐Hyslop, Peter H, Thornton, Timothy, Younkin, Steven G, Vardarajan, Badri N, Wang, Li‐San, Wendlund, Jens R, Winslow, Ashley R, Adams, Perrie M, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Barmada, Michjael M, Barnes, Lisa L, Beach, Thomas G, Becker, James T, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Cairns, Nigel J, Cao, Chuanhai, Carlson, Chris S, Carlsson, Cynthia M, Carney, Regina M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cribbs, David H, Crocco, Elizabeth A, De Jager, Philip L, DeCarli, Charles, DeKosky, Steven T, Demirci, F Yesim, Dick, Malcolm, Dickson, Dennis W, Doody, Rachelle S, Duara, Ranjan, Faber, Kelley M, Fairchild, Thomas J, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Frosch, Matthew P, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Glass, Jonathan D, Green, Robert C, and Growdon, John H

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Neurodegenerative, Genetics, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, Aging, Human Genome, Prevention, Dementia, Alzheimer's Disease, Biotechnology, Brain Disorders, 2.1 Biological and endogenous factors, Adaptor Proteins, Signal Transducing, Alzheimer Disease, Apolipoprotein E4, GTPase-Activating Proteins, Genetic Predisposition to Disease, Genome-Wide Association Study, Heparin-binding EGF-like Growth Factor, Humans, Membrane Glycoproteins, Molecular Chaperones, NFI Transcription Factors, Peroxisomal Bifunctional Enzyme, Polymorphism, Single Nucleotide, Receptors, GABA, Alzheimer's Disease Genetics Consortium, APOE interaction, Alzheimer's disease, Genome-wide association, Transethnic, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionGenetic loci for Alzheimer's disease (AD) have been identified in whites of European ancestry, but the genetic architecture of AD among other populations is less understood.MethodsWe conducted a transethnic genome-wide association study (GWAS) for late-onset AD in Stage 1 sample including whites of European Ancestry, African-Americans, Japanese, and Israeli-Arabs assembled by the Alzheimer's Disease Genetics Consortium. Suggestive results from Stage 1 from novel loci were followed up using summarized results in the International Genomics Alzheimer's Project GWAS dataset.ResultsGenome-wide significant (GWS) associations in single-nucleotide polymorphism (SNP)-based tests (P

Published
2017

7. Single cell profiling of Microglia from PLCG2 and ABI3 Missense Variant Carriers in Alzheimer’s disease

Author

Bergman, Jeremiah, primary, Is, Ozkan, additional, Wang, Xue, additional, Cherukuri, Yesesri, additional, Duvuuri, Venkata N.S., additional, Quicksall, Zachary, additional, Atik, Merve, additional, Tutor‐New, Frederick Q, additional, Sotelo, Katie, additional, Nguyen, Thuy, additional, Dickson, Dennis W., additional, Allen, Mariet, additional, and Ertekin‐Taner, Nilufer, additional

Published
2023
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8. Investigating phenotypic modifiers of Alzheimer’s disease utilizing cellular and transcriptomic signatures of PSEN1 mutation carriers

Author

Pottier, Cyril P, primary, Lincoln, Sarah J., additional, Boon, Baayla D.C., additional, Wickland, Daniel P., additional, Rothberg, Darren M., additional, DeTure, Michael, additional, Ertekin‐Taner, Nilufer, additional, Graff‐Radford, Neill R, additional, Dickson, Dennis W., additional, and Murray, Melissa E., additional

Published
2023
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10. Distinct amyloid‐β deposits inversely correlate with glial activation and tangles in Alzheimer’s disease subtypes

Author

Boon, Baayla D.C., primary, Kouri, Naomi, additional, Labuzan, Sydney A., additional, Peng, Zhongwei, additional, Tranovich, Jessica F., additional, Frankenhauser, Isabelle, additional, Lincoln, Sarah J., additional, Lachner, Christian, additional, Ertekin‐Taner, Nilufer, additional, Duara, Ranjan, additional, Graff‐Radford, Neill R, additional, Dickson, Dennis W., additional, and Murray, Melissa E., additional

Published
2023
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11. Plasma biomarkers of Alzheimer’s disease in a biracial, community‐based sample

Author

Ramanan, Vijay K, primary, Graff‐Radford, Jonathan, additional, Syrjanen, Jeremy A., additional, Shir, Dror, additional, Algeciras‐Schimnich, Alicia, additional, Lucas, John A., additional, Martens, Yuka A, additional, Carrasquillo, Minerva M., additional, Day, Gregory S., additional, Ertekin‐Taner, Nilufer, additional, Lachner, Christian, additional, Willis, Floyd B., additional, Knopman, David S., additional, Jack, Clifford R., additional, Petersen, Ronald C., additional, Vemuri, Prashanthi, additional, Graff‐Radford, Neill R, additional, and Mielke, Michelle M., additional

Published
2023
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12. Gliovascular molecular alterations in Alzheimer’s disease: a cross‐tissue, cross‐species study

Author

Is, Ozkan, primary, Wang, Xue, additional, Reddy, Joseph S., additional, Patel, Tulsi, additional, Min, Yuhao, additional, Quicksall, Zachary, additional, Heckman, Michael G., additional, Gao, Junli, additional, Bergman, Jeremiah, additional, Da Mesquita, Sandro Gabriel (Sandro Da Mesquita) Ferreira, additional, Kizil, Caghan, additional, Bhattarai, Prabesh, additional, Cosacak, Mehmet I., additional, Lee, Annie J, additional, Vardarajan, Badri N, additional, Mayeux, Richard, additional, Koga, Shunsuke, additional, Kanekiyo, Takahisa, additional, White, Launia J, additional, Kouri, Naomi, additional, Deniz, Kaancan, additional, Tutor‐New, Frederick Q, additional, Carnwath, Troy, additional, Oatman, Stephanie R, additional, Lewis‐Tuffin, Laura, additional, Nguyen, Thuy, additional, Carrasquillo, Minerva M., additional, Radford, Jonathan Graff, additional, Petersen, Ronald C., additional, Jack, Clifford R., additional, Kantarci, Kejal, additional, Nho, Kwangsik, additional, Saykin, Andrew J., additional, Dickson, Dennis W., additional, Murray, Melissa E., additional, Allen, Mariet, additional, and Ertekin‐Taner, Nilufer, additional

Published
2023
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14. Blood co‐expression network analysis identifies molecular pathways involved in cognitive resilience

Author

Tsai, Wei, primary, McNiff, Caitlin E., additional, Reddy, Joseph S., additional, Wang, Xue, additional, Quicksall, Zachary, additional, Nho, Kwangsik, additional, Allen, Mariet, additional, Heckman, Michael G., additional, Kantarci, Kejal, additional, Mielke, Michelle M., additional, Petersen, Ronald C., additional, Saykin, Andrew J., additional, Carrasquillo, Minerva M., additional, and Ertekin‐Taner, Nilufer, additional

Published
2023
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16. Network‐based pipeline guides knowledge‐driven prioritization and validation of therapeutic target discovery for Alzheimer’s disease

Author

Min, Yuhao, primary, Wang, Xue, additional, Gao, Junli, additional, Zhang, Cheng, additional, Ung, Choong, additional, Chalk, Jessica L, additional, Correia, Cristina, additional, Golde, Todd E, additional, Reddy, Joseph S., additional, Carrasquillo, Minerva M., additional, Zhang, Ke, additional, Allen, Mariet, additional, Li, Hu, additional, and Ertekin‐Taner, Nilufer, additional

Published
2023
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17. Identification of genes and blood co‐expression networks associated with cerebrovascular neuroimaging phenotypes

Author

Chen, Xuan, primary, Quicksall, Zachary, additional, Wang, Xue, additional, Reyes, Denise A., additional, Graff‐Radford, Jonathan, additional, Nguyen, Thuy, additional, Lincoln, Sarah J., additional, Malphrus, Kimberly G., additional, Crook, Julia E., additional, Reddy, Joseph S., additional, Allen, Mariet, additional, Jack, Clifford R., additional, Lowe, Val J., additional, Knopman, David S., additional, Petersen, Ronald C., additional, Kantarci, Kejal, additional, Bu, Guojun, additional, Carrasquillo, Minerva M., additional, and Ertekin‐Taner, Nilufer, additional

Published
2023
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19. Targeted plasma eQTL and pQTL to identify potential novel biomarkers for Alzheimer’s Disease in African Americans

Author

Reddy, Joseph S., primary, Badillo, Vanessa M. Colon, additional, Jin, Jianli, additional, Lincoln, Sarah J., additional, Ho, Charlotte C.G., additional, Crook, Julia E., additional, Wang, Xue, additional, Malphrus, Kimberly G., additional, Nguyen, Thuy, additional, Polanco, Jean M Marrero, additional, Tamvaka, Nicole, additional, Lucas, John A., additional, Graff‐Radford, Neill R, additional, Ertekin‐Taner, Nilufer, additional, and Carrasquillo, Minerva M., additional

Published
2023
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20. DNA methylation clustered by predicted chromatin state reveals distinct association patterns with neuropathologic and biochemical measures in the AD brain

Author

Oatman, Stephanie R, primary, Quicksall, Zachary, additional, Reddy, Joseph S., additional, Carrasquillo, Minerva M., additional, Wang, Xue, additional, Liu, Chia‐Chen, additional, Yamazaki, Yu, additional, Nguyen, Thuy, additional, Malphrus, Kimberly G., additional, Heckman, Michael G., additional, Martens, Yuka A, additional, Zhao, Na, additional, DeTure, Michael, additional, Murray, Melissa E., additional, Kanekiyo, Takahisa, additional, Bu, Guojun, additional, Dickson, Dennis W., additional, Allen, Mariet, additional, and Ertekin‐Taner, Nilufer, additional

Published
2023
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21. Digital pathology analysis reveals TDP‐43 pathology as a strong predictor of glial activation in Alzheimer’s disease

Author

Kouri, Naomi, primary, Frankenhauser, Isabelle, additional, Boon, Baayla D.C., additional, Labuzan, Sydney A., additional, Peng, Zhongwei, additional, Tranovich, Jessica F., additional, Lesser, Elizabeth R., additional, Crook, Julia E., additional, Lachner, Christian, additional, Ertekin‐Taner, Nilufer, additional, Duara, Ranjan, additional, Graff‐Radford, Neill R., additional, Dickson, Dennis W., additional, Carter, Rickey E., additional, and Murray, Melissa E., additional

Published
2023
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23. APOE ε4 influences within and between network functional connectivity in posterior cortical atrophy and logopenic progressive aphasia

Author

Neha Atulkumar Singh, Peter R. Martin, Jonathan Graff‐Radford, Mary M. Machulda, Minerva M. Carrasquillo, Nilufer Ertekin‐Taner, Keith A. Josephs, and Jennifer L. Whitwell

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2023
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24. Single Cell Approaches Reveal Perturbed Brain Vascular Molecules in Alzheimer’s Disease

Author

Özkan İş, Xue Wang, Joseph S. Reddy, Tulsi Patel, Yuhao Min, Zachary Quicksall, Michael G. Heckman, Launia White, Naomi Kouri, Kaancan Deniz, Frederick Q Tutor‐New, Troy Carnwath, Stephanie R Oatman, Minerva M. Carrasquillo, Thuy Nguyen, Ronald C. Petersen, Kejal Kantarci, Kwangsik Nho, Andrew J. Saykin, Dennis W. Dickson, Melissa E. Murray, Mariet Allen, and Nilufer Ertekin‐Taner

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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25. Integrative single‐nucleus RNAseq analysis identifies cell‐type‐specific expression perturbations in progressive supranuclear palsy

Author

Yuhao Min, Xue Wang, Özkan İş, Tulsi Patel, Joseph S. Reddy, Thuy Nguyen, Jessica L Chalk, Frederick Q Tutor‐New, Julia E. Crook, Minerva M. Carrasquillo, Dennis W. Dickson, Ke Zhang, Mariet Allen, and Nilufer Ertekin‐Taner

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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26. Brain region‐specific metabolic signatures of Alzheimer’s disease

Author

Richa Batra, Jan Krumsiek, Xue Wang, Mariet Allen, Maria A. Wörheide, Colette Blach, David A Bennett, Gabi Kastenmüller, Matthias Arnold, Nilufer Ertekin‐Taner, and Rima Kaddurah‐Daouk

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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27. Digital Pathology Investigation of SERPINA5‐Tau Protein Interaction in Alzheimer’s Disease and Primary Tauopathies

Author

Tiffany N. Hicks Sirmans, Naomi Kouri, Nicole Tamvaka, Sydney A Labuzan, Billie J Matchett, Sarah J. Lincoln, Kelly M Hinkle, Christina M. Moloney, Zhongwei Peng, Rickey E Carter, Owen A. Ross, Nilufer Ertekin‐Taner, Ranjan Duara, Neill R. Graff‐Radford, Dennis W. Dickson, and Melissa E. Murray

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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28. Association of DNA methylation from the temporal cortex and cerebellum with AD‐related neuropathology and biochemistry

Author

Stephanie R Oatman, Mariet Allen, Zachary Quicksall, Joseph S. Reddy, Minerva M. Carrasquillo, Xue Wang, Chia‐Chen Liu, Yu Yamazaki, Thuy Nguyen, Michael G. Heckman, Yuka A Martens, Na Zhao, Michael DeTure, Melissa E. Murray, Takahisa Kanekiyo, Dennis W. Dickson, Guojun Bu, and Nilufer Ertekin‐Taner

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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29. Gene‐based polygenic score analysis identifies novel immune genes with deleterious variants that associate with Alzheimer’s disease

Author

Joseph S. Reddy, Xue Wang, Mariet Allen, Minerva M. Carrasquillo, Joanna M Biernacka, Jenkins D. Gregory, Brandon J Coombes, Nilufer Ertekin‐Taner, and Steven G. Younkin

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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30. The coarse‐grained plaque is an Aβ plaque‐type in APOE Ɛ4+ Alzheimer’s disease that is associated with astrogliosis and p‐tau burden

Author

Baayla D.C. Boon, Naomi Kouri, Sydney A Labuzan, Janisse N Cabrera‐Rodriguez, Jessica Tranovich, Isabelle Frankenhauser, Christian Lachner, Nilufer Ertekin‐Taner, Ranjan Duara, Neill R. Graff‐Radford, Dennis W. Dickson, and Melissa E. Murray

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2022
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31. Single Cell Approaches Reveal Perturbed Brain Vascular Molecules in Alzheimer’s Disease

Author

İş, Özkan, primary, Wang, Xue, additional, Reddy, Joseph S., additional, Patel, Tulsi, additional, Min, Yuhao, additional, Quicksall, Zachary, additional, Heckman, Michael G., additional, White, Launia, additional, Kouri, Naomi, additional, Deniz, Kaancan, additional, Tutor‐New, Frederick Q, additional, Carnwath, Troy, additional, Oatman, Stephanie R, additional, Carrasquillo, Minerva M., additional, Nguyen, Thuy, additional, Petersen, Ronald C., additional, Kantarci, Kejal, additional, Nho, Kwangsik, additional, Saykin, Andrew J., additional, Dickson, Dennis W., additional, Murray, Melissa E., additional, Allen, Mariet, additional, and Ertekin‐Taner, Nilufer, additional

Published
2022
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32. Brain region‐specific metabolic signatures of Alzheimer’s disease

Author

Batra, Richa, primary, Krumsiek, Jan, additional, Wang, Xue, additional, Allen, Mariet, additional, Wörheide, Maria A., additional, Blach, Colette, additional, Bennett, David A, additional, Kastenmüller, Gabi, additional, Arnold, Matthias, additional, Ertekin‐Taner, Nilufer, additional, and Kaddurah‐Daouk, Rima, additional

Published
2022
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33. Integrative single‐nucleus RNAseq analysis identifies cell‐type‐specific expression perturbations in progressive supranuclear palsy

Author

Min, Yuhao, primary, Wang, Xue, additional, İş, Özkan, additional, Patel, Tulsi, additional, Reddy, Joseph S., additional, Nguyen, Thuy, additional, Chalk, Jessica L, additional, Tutor‐New, Frederick Q, additional, Crook, Julia E., additional, Carrasquillo, Minerva M., additional, Dickson, Dennis W., additional, Zhang, Ke, additional, Allen, Mariet, additional, and Ertekin‐Taner, Nilufer, additional

Published
2022
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34. Digital Pathology Investigation of SERPINA5‐Tau Protein Interaction in Alzheimer’s Disease and Primary Tauopathies

Author

Sirmans, Tiffany N. Hicks, primary, Kouri, Naomi, additional, Tamvaka, Nicole, additional, Labuzan, Sydney A, additional, Matchett, Billie J, additional, Lincoln, Sarah J., additional, Hinkle, Kelly M, additional, Moloney, Christina M., additional, Peng, Zhongwei, additional, Carter, Rickey E, additional, Ross, Owen A., additional, Ertekin‐Taner, Nilufer, additional, Duara, Ranjan, additional, Graff‐Radford, Neill R., additional, Dickson, Dennis W., additional, and Murray, Melissa E., additional

Published
2022
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35. The coarse‐grained plaque is an Aβ plaque‐type in APOE Ɛ4+ Alzheimer’s disease that is associated with astrogliosis and p‐tau burden

Author

Boon, Baayla D.C., primary, Kouri, Naomi, additional, Labuzan, Sydney A, additional, Cabrera‐Rodriguez, Janisse N, additional, Tranovich, Jessica, additional, Frankenhauser, Isabelle, additional, Lachner, Christian, additional, Ertekin‐Taner, Nilufer, additional, Duara, Ranjan, additional, Graff‐Radford, Neill R., additional, Dickson, Dennis W., additional, and Murray, Melissa E., additional

Published
2022
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37. Association of DNA methylation from the temporal cortex and cerebellum with AD‐related neuropathology and biochemistry

Author

Oatman, Stephanie R, primary, Allen, Mariet, additional, Quicksall, Zachary, additional, Reddy, Joseph S., additional, Carrasquillo, Minerva M., additional, Wang, Xue, additional, Liu, Chia‐Chen, additional, Yamazaki, Yu, additional, Nguyen, Thuy, additional, Heckman, Michael G., additional, Martens, Yuka A, additional, Zhao, Na, additional, DeTure, Michael, additional, Murray, Melissa E., additional, Kanekiyo, Takahisa, additional, Dickson, Dennis W., additional, Bu, Guojun, additional, and Ertekin‐Taner, Nilufer, additional

Published
2022
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38. Epigenomic features related to microglia are associated with attenuated effect of APOE ε4 on Alzheimer's disease risk in humans

Author

Rebecca G. Smith, Le Yu, P. L. De Jager, Marta Olah, Vilas Menon, Hans-Ulrich Klein, David A. Bennett, Mariet Allen, Katie Lunnon, Bin Zhang, Ehsan Pishva, Yiyi Ma, Stephanie R Oatman, and Nilufer Ertekin-Taner

Subjects
Male, Epigenomics, Apolipoprotein E, Heterozygote, medicine.medical_specialty, Neurology, Genotype, Epidemiology, Apolipoprotein E4, Disease, Biology, Article, Cellular and Molecular Neuroscience, Apolipoproteins E, Developmental Neuroscience, Alzheimer Disease, medicine, Humans, Genetic Predisposition to Disease, Senile plaques, Pathological, Alleles, Aged, Innate immune system, Microglia, business.industry, Health Policy, Brain, Neurofibrillary Tangles, Psychiatry and Mental health, medicine.anatomical_structure, CpG site, Immunology, Disease risk, Female, Neurology (clinical), Geriatrics and Gerontology, business
Abstract

INTRODUCTIONNot all APOE ε4 carriers who survive to advanced age develop Alzheimer’s disease (AD); factors attenuating the risk of ε4 on AD may exist.METHODSGuided by the top ε4-attenuating signals from methylome-wide association analyses (N=572, ε4+ and ε4-) of neurofibrillary tangles and neuritic plaques, we conducted a meta-analysis for pathological AD within the ε4+ subgroups (N=235) across four independent collections of brains. Cortical RNA-seq and microglial morphology measurements were used in functional analyses.RESULTSThree out of the four significant CpG dinucleotides were captured by one principle component (PC1), which interacts with ε4 on AD, and is associated with expression of innate immune genes and activated microglia. In ε4 carriers, reduction in each unit of PC1 attenuated the odds of AD by 58% (OR=2.39, 95%CI=[1.64,3.46], P=7.08×10−6).DISCUSSIONAn epigenomic factor associated with a reduced proportion of activated microglia appears to attenuate the risk of ε4 on AD.

Published
2021
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39. Integrative functional genomic analysis of intron retention in human and mouse brain with Alzheimer's disease

Author

Karen N. McFarland, Paramita Chakrabarty, Nicholas T. Seyfried, Xue Wang, Gilbert S. Omenn, Jeremy D. Burgess, Steven G. Younkin, Todd E. Golde, Cory C. Funk, Hong-Dong Li, Yona Levites, Nathan D. Price, Nilufer Ertekin-Taner, Dennis W. Dickson, Allan I. Levey, James J. Lah, Eric B. Dammer, Mariet Allen, Duc M. Duong, and Minerva M. Carrasquillo

Subjects
Proteomics, Epidemiology, Quantitative Trait Loci, Genomics, Computational biology, Biology, intron retention, Transcriptome, Pathogenesis, 03 medical and health sciences, Cellular and Molecular Neuroscience, alternative splicing, Mice, 0302 clinical medicine, Developmental Neuroscience, Alzheimer Disease, Gene expression, Animals, Humans, Gene, 030304 developmental biology, Homeodomain Proteins, 0303 health sciences, Featured Articles, Health Policy, Alternative splicing, Intron, Brain, Featured Article, Alzheimer's disease, Introns, Psychiatry and Mental health, Disease Models, Animal, Expression quantitative trait loci, gene expression, Neurology (clinical), Autopsy, Geriatrics and Gerontology, 030217 neurology & neurosurgery, integrative analysis
Abstract

Intron retention (IR) has been implicated in the pathogenesis of complex diseases such as cancers; its association with Alzheimer's disease (AD) remains unexplored. We performed genome‐wide analysis of IR through integrating genetic, transcriptomic, and proteomic data of AD subjects and mouse models from the Accelerating Medicines Partnership‐Alzheimer's Disease project. We identified 4535 and 4086 IR events in 2173 human and 1736 mouse genes, respectively. Quantitation of IR enabled the identification of differentially expressed genes that conventional exon‐level approaches did not reveal. There were significant correlations of intron expression within innate immune genes, like HMBOX1, with AD in humans. Peptides with a high probability of translation from intron‐retained mRNAs were identified using mass spectrometry. Further, we established AD‐specific intron expression Quantitative Trait Loci, and identified splicing‐related genes that may regulate IR. Our analysis provides a novel resource for the search for new AD biomarkers and pathological mechanisms.

Published
2021

40. APOE ε4 influences medial temporal atrophy and tau deposition in atypical Alzheimer's disease

Author

Singh, Neha Atulkumar, primary, Tosakulwong, Nirubol, additional, Graff‐Radford, Jonathan, additional, Machulda, Mary M., additional, Pham, Nha Trang Thu, additional, Sintini, Irene, additional, Weigand, Stephen D., additional, Schwarz, Christopher G., additional, Senjem, Matthew L., additional, Carrasquillo, Minerva M., additional, Ertekin‐Taner, Nilufer, additional, Jack, Clifford R., additional, Lowe, Val J., additional, Josephs, Keith A., additional, and Whitwell, Jennifer L., additional

Published
2022
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41. Mitophagy alterations in Alzheimer's disease are associated with granulovacuolar degeneration and early tau pathology

Author

Heather L. Melrose, Fabienne C. Fiesel, Xu Hou, Wolfdieter Springer, Silvia S. Kang, Chia Chen Liu, Michael G. Heckman, Jens O. Watzlawik, Casey Cook, Michael DeTure, Leonard Petrucelli, Fadi S. Hanna Al-Shaikh, Owen A. Ross, Ronald L. Walton, Melissa E. Murray, Guojun Bu, John D. Fryer, Nilufer Ertekin-Taner, Dennis W. Dickson, Wen Lang Lin, and Nancy N. Diehl

Subjects
0301 basic medicine, autophagy, Epidemiology, Amyloid beta, PINK1, Mitochondrion, Parkin, 03 medical and health sciences, Cellular and Molecular Neuroscience, lysosomes, 0302 clinical medicine, Developmental Neuroscience, Ubiquitin, ubiquitin, Mitophagy, granulovacuolar degeneration, PRKN, tau, biology, Featured Articles, Health Policy, Autophagy, Featured Article, Alzheimer's disease, Cell biology, Ubiquitin ligase, mitochondria, Psychiatry and Mental health, mitophagy, 030104 developmental biology, biology.protein, Neurology (clinical), Geriatrics and Gerontology, 030217 neurology & neurosurgery
Abstract

Introduction The cytoprotective PTEN‐induced kinase 1 (PINK1)‐parkin RBR E3 ubiquitin protein ligase (PRKN) pathway selectively labels damaged mitochondria with phosphorylated ubiquitin (pS65‐Ub) for their autophagic removal (mitophagy). Because dysfunctions of mitochondria and degradation pathways are early features of Alzheimer's disease (AD), mitophagy impairments may contribute to the pathogenesis. Methods Morphology, levels, and distribution of the mitophagy tag pS65‐Ub were evaluated by biochemical analyses combined with tissue and single cell imaging in AD autopsy brain and in transgenic mouse models. Results Analyses revealed significant increases of pS65‐Ub levels in AD brain, which strongly correlated with granulovacuolar degeneration (GVD) and early phospho‐tau deposits, but were independent of amyloid beta pathology. Single cell analyses revealed predominant co‐localization of pS65‐Ub with mitochondria, GVD bodies, and/or lysosomes depending on the brain region analyzed. Discussion Our study highlights mitophagy alterations in AD that are associated with early tau pathology, and suggests that distinct mitochondrial, autophagic, and/or lysosomal failure may contribute to the selective vulnerability in disease.

Published
2020
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42. Genome‐wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology

Author

Ronald C. Petersen, Mariet Allen, Kwangsik Nho, Liana G. Apostolova, Xue Wang, Tatiana Foroud, Isaac M. Neuhaus, Aiqing He, Kelley Faber, Simon Lovestone, Shannon L. Risacher, Sungeun Kim, Lisu Wang, Nilufer Ertekin-Taner, Jeremy D. Burgess, Zhenhao Qi, Katie Lunnon, Michael W. Weiner, Vishal Patel, Andrew Simmons, Kelly N.H. Nudelman, Kuang Lin, Andrew J. Saykin, and Angela Hodges

Subjects
Male, 0301 basic medicine, Aging, Genotyping Techniques, CREB5, Epidemiology, Imaging genetics, Neurodegenerative, Cyclic AMP Response Element-Binding Protein A, Alzheimer's Disease, Transcriptome, 0302 clinical medicine, Gene expression, ADNI, Entorhinal Cortex, 2.1 Biological and endogenous factors, Aetiology, Genetics, Aniline Compounds, biology, Health Policy, Brain, Psychiatry and Mental health, Neurological, imaging genetics, amyloid β, Ethylene Glycols, Female, Biotechnology, Amyloid beta, Clinical Sciences, Quantitative trait locus, CREB, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Developmental Neuroscience, Alzheimer Disease, Acquired Cognitive Impairment, Humans, Gene, Aged, Amyloid beta-Peptides, Gene Expression Profiling, Human Genome, Alzheimer's Disease Neuroimaging Initiative, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Entorhinal cortex, Brain Disorders, amyloid beta, 030104 developmental biology, Geriatrics, Positron-Emission Tomography, microarray gene expression, biology.protein, Dementia, Neurology (clinical), Atrophy, Geriatrics and Gerontology, 030217 neurology & neurosurgery
Abstract

INTRODUCTION 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 = 1440) of blood-based microarray gene expression profiles as well as neuroimaging and cerebrospinal fluid (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 beta (Aβ) accumulation, especially in the entorhinal cortex region. cis-expression quantitative trait loci mapping analysis of CREB5 detected five significant associations (P < 5 × 10-8 ), where rs56388170 (most significant) was also significantly associated with global cortical Aβ deposition measured by [18 F]Florbetapir positron emission tomography 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 Alzheimer's disease. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity, and learning and memory.

Published
2020
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43. Plasma transcript profiling identifies significant differentially expressed genes and expression of quantitative trait loci in African Americans

Author

Minerva M. Carrasquillo, Jianli Jin, Joseph S. Reddy, Julia E. Crook, Sarah J. Lincoln, Charlotte C.G. Ho, Kimberly G. Malphrus, Thuy Nguyen, Maria T. Greig‐Custo, John A. Lucas, Neill R. Graff‐Radford, and Nilufer Ertekin‐Taner

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2021
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45. An examination of atypical primary progressive aphasia variants

Author

Hugo Botha, Joseph R Duffy, Rene L Utianski, Mary M. Machulda, Heather M Clark, Edythe A Strand, Sarah Boland, Farwa Ali, Peter R Martin, Marina Buciuc, Bradley F. Boeve, Christopher G. Schwarz, Matthew L. Senjem, Robert I. Reid, David T. Jones, Jonathan Graff‐Radford, David S. Knopman, Ronald C. Petersen, Eileen H Bigio, Val J Lowe, Ross R. Reichard, Clifford R. Jack, Nilufer Ertekin‐Taner, Rosa Rademakers, Michael DeTure, Owen A. Ross, Dennis W Dickson, Jennifer L Whitwell, and Keith A Josephs

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2021
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46. Cancer survivors have a lower frequency of dementia in the 95+ oldest‐old

Author

Christian Lachner, Gamze Balci Camsari, Nilufer Ertekin‐Taner, E. Aubrey Thompson, Ronald C. Petersen, Bradley F. Boeve, John A. Lucas, Ross R. Reichard, Dennis W Dickson, David S. Knopman, Neill R. Graff‐Radford, and Melissa E Murray

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2021
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47. Whole genome sequencing–based copy number variations reveal novel pathways and targets in Alzheimer's disease

Author

Ming, Chen, primary, Wang, Minghui, additional, Wang, Qian, additional, Neff, Ryan, additional, Wang, Erming, additional, Shen, Qi, additional, Reddy, Joseph S., additional, Wang, Xue, additional, Allen, Mariet, additional, Ertekin‐Taner, Nilüfer, additional, De Jager, Philip L., additional, Bennett, David A., additional, Haroutunian, Vahram, additional, Schadt, Eric, additional, and Zhang, Bin, additional

Published
2021
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48. An examination of atypical primary progressive aphasia variants

Author

Botha, Hugo, primary, Duffy, Joseph R, additional, Utianski, Rene L, additional, Machulda, Mary M., additional, Clark, Heather M, additional, Strand, Edythe A, additional, Boland, Sarah, additional, Ali, Farwa, additional, Martin, Peter R, additional, Buciuc, Marina, additional, Boeve, Bradley F., additional, Schwarz, Christopher G., additional, Senjem, Matthew L., additional, Reid, Robert I., additional, Jones, David T., additional, Graff‐Radford, Jonathan, additional, Knopman, David S., additional, Petersen, Ronald C., additional, Bigio, Eileen H, additional, Lowe, Val J, additional, Reichard, Ross R., additional, Jack, Clifford R., additional, Ertekin‐Taner, Nilufer, additional, Rademakers, Rosa, additional, DeTure, Michael, additional, Ross, Owen A., additional, Dickson, Dennis W, additional, Whitwell, Jennifer L, additional, and Josephs, Keith A, additional

Published
2021
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49. Cancer survivors have a lower frequency of dementia in the 95+ oldest‐old

Author

Lachner, Christian, primary, Camsari, Gamze Balci, additional, Ertekin‐Taner, Nilufer, additional, Thompson, E. Aubrey, additional, Petersen, Ronald C., additional, Boeve, Bradley F., additional, Lucas, John A., additional, Reichard, Ross R., additional, Dickson, Dennis W, additional, Knopman, David S., additional, Graff‐Radford, Neill R., additional, and Murray, Melissa E, additional

Published
2021
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