Description
The search for novel risk factors for Alzheimer disease relies on access to accurate and deeply phenotyped datasets. The Memory and Aging Project at the Knight-ADRC (Knight ADRC-MAP) collects plasma, CSF, fibroblast, neuroimaging clinical and cognition data longitudinally and autopsied brain samples. We are using multi-tissue (brain, CSF and plasma) multi-omic data (genetics, epigenomics, transcriptomics, proteomics and metabolomics) to identify novel risk and protective variants, create new prediction models and identify drug targets. The study cohort includes MAP participants from the Knight-ADRC at Washington University in St. Louis (MO). MAP participants have to be at least 65 years old and have no memory problems or mild dementia at the time of enrollment. There is no age at onset criteria for this cohort. Cases had to have a CDR >=0.5 whereas controls had to have a CDR=0 at last assessment. AD definition is based on a combination of both clinical and pathological information if available. Pathologic diagnosis will overrule clinical diagnosis. Participants are Non-Hispanic white from North America (95%) and African American (5%). Autopsy information was provided if available, but it is not a requirement for enrollment.
Additional information about Knight ADRC datasets available through NIAGADS can be found on the Knight ADRC Collection page.
PI
Carlos Cruchaga, Ph.D.
Washington University in St. Louis
Maria Victoria Fernandez, Ph.D.
Washington University in St. Louis
Oscar Harari, Ph.D.
Washington University in St. Louis
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Related Sample Sets
- KnightADRC samples were sequenced at MGI on the HiSeq4000 machine. 75 samples were sequenced using the IDT xGen Exome Whole Exome Research Panel v1.0 w/Custom Spike-In Baits and 586 samples…
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- The data being submitted is from participants from the Knight-ADRC MAP study. Genotyping for 4495 participants were generated through 10 different genotyping arrays (Infinium CoreExome-24, Infinium Neuro Consortium Array, Infinium…
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Cohorts
- The search for novel risk factors for Alzheimer disease relies on access to accurate and deeply phenotyped datasets. The Memory and Aging Project at the Knight-ADRC (Knight ADRC-MAP) collects plasma,…
Grants
National Institutes of Health (R01-AG044546, P01-AG003991, RF1-AG053303, NIH P50-AG05681, P01-AG026276, U24-AG21886, U24-AG026395 and U01-AG058922).
The Alzheimer Association (NIRG-11-200110, BAND-14-338165 and BFG-15-362540).
Acknowledgement
Acknowledgment statement for any data distributed by NIAGADS:
Data for this study were prepared, archived, and distributed by the National Institute on Aging Alzheimer's Disease Data Storage Site (NIAGADS) at the University of Pennsylvania (U24-AG041689), funded by the National Institute on Aging.
For investigators using Charles F. and Joanne Knight Alzheimer’s Disease Research Center data:
This work was supported by grants from the National Institutes of Health (R01AG044546, P01AG003991, RF1AG053303, R01AG058501, U01AG058922, RF1AG058501 and R01AG057777). The recruitment and clinical characterization of research participants at Washington University were supported by NIH P50 AG05681, P01 AG03991, and P01 AG026276. This work was supported by access to equipment made possible by the Hope Center for Neurological Disorders, and the Departments of Neurology and Psychiatry at Washington University School of Medicine.
We thank the contributors who collected samples used in this study, as well as patients and their families, whose help and participation made this work possible. This work was supported by access to equipment made possible by the Hope Center for Neurological Disorders, and the Departments of Neurology and Psychiatry at Washington University School of Medicine.
For use of the ADSP-PHC harmonized phenotypes deposited within dataset, ng00067, use the following statement:
The Memory and Aging Project at the Knight-ADRC (Knight-ADRC), supported by NIH grants R01AG064614, R01AG044546, RF1AG053303, RF1AG058501, U01AG058922 and R01AG064877 to Carlos Cruchaga. The recruitment and clinical characterization of research participants at Washington University was supported by NIH grants P30AG066444, P01AG03991, and P01AG026276. Data collection and sharing for this project was supported by NIH grants RF1AG054080, P30AG066462, R01AG064614 and U01AG052410. This work was supported by access to equipment made possible by the Hope Center for Neurological Disorders, the Neurogenomics and Informatics Center (NGI: https://neurogenomics.wustl.edu/) and the Departments of Neurology and Psychiatry at Washington University School of Medicine.
Related Publications
Fernández MV, Budde J, Del-Aguila JL, IbañezL, Deming Y, Harari O, Norton J, Morris JC, Goate AM; NIA-LOAD family study group; NCRAD, Cruchaga C. Evaluation of Gene-Based Family-Based Methods to Detect Novel Genes Associated With Familial Late Onset Alzheimer Disease. Front Neuroscience 2018; 12:209. PMCID: PMC5893779
Fernández MV, Kim JH, Budde JP, Black K, Medvedeva A, Saef B, Deming Y, Del-Aguila J, IbañezL, Dube U, Harari O, Norton J, Chasse R, Morris JC, Goate A; NIA-LOAD family study group; NCRAD, Cruchaga C. Analysis of neurodegenerative Mendelian genes in clinically diagnosed Alzheimer Disease. PLoS 2017;13(11):e1007045. doi: 0.1371/journal.pgen.1007045. PMCID: PMC5683650
Cruchaga C, Del-Aguila JL, Saef B, Black K, Fernandez MV, Budde J, Ibanez L, Kapoor M, Tosto G, Mayeux RP, Holtzman DM, Fagan AM, Morris JC, Bateman RJ, Goate AM; Dominantly Inherited Alzheimer Network (DIAN); Disease Neuroimaging Initiative (ADNI); NIA-LOAD family study, Harari O. Polygenic risk score of sporadic late-onset Alzheimer’s disease reveals a shared architecture with the familial and early-onset forms. AlzheimersDement 2018; (2):205-214. PMCID:PMC5803427
Ridge PG, Karch CM, Hsu S, Arano I, TeerlinkCC, Ebbert MTW, Gonzalez Murcia JD, Farnham JM, Damato AR, Allen M, Wang X, Harari O, Fernandez VM, Guerreiro R, Bras J, Hardy J, Munger R, Norton M, Sassi C, Singleton A, Younkin SG, Dickson DW, Golde TE, Price ND, Ertekin-Taner N, Cruchaga C, Goate AM, Corcoran C, Tschanz J, Cannon-Albright LA, Kauwe JSK; Alzheimer’s Disease Neuroimaging Initative. Linkage, whole genome sequence, and biological data implicate variants in RAB10 in Alzheimer’s disease resilience. Genome Med. 2017; 9(1):100. PMCID: PMC5706401
Fernández MV, Black K, Carrell D, SaefB, Budde J, Deming Y, Howells B, Del-Aguila JL, Ma S, Bi C, Norton J, Chasse R, Morris J, Goate A, Cruchaga C; NIA-LOAD family study group, NCRAD. SORL1 variants across Alzheimer’s disease European American cohorts. Eur J Hum Genet 2016; 24(12):1828-1830. PMCID: PMC5117924
Fernández MV, Black K, Carrell D, SaefB, Budde J, Deming Y, Howells B, Del-Aguila JL, Ma S, Bi C, Norton J, Chasse R, Morris J, Goate A, Cruchaga C; NIA-LOAD family study group, NCRAD. SORL1 variants across Alzheimer’s disease European American cohorts. Eur J Hum Genet 2016; 24(12):1828-1830. PMCID: PMC5117924