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.
Related Datasets
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- The identification of genetic risk factors for Alzheimer’s Disease (AD) provides additional to support that multiple pathways contribute to its onset and progression. However, the metabolomic and lipidomic profiles altered…
- Alzheimer’s disease (AD) is a multifactorial neurodegenerative disorder with many biological processes, and molecular changes. The etiology of AD is complex and not specific to a single genetic factor. Epigenetic…
- 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,…
- The goal of WU350 cohort is to address the many complexities of the COVID-19 pandemic. Among the 332 COVID-19 cases, ~90% were symptomatic patients, 93.7% were hospitalized, 46.7% with ICU…
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- This dataset includes sequencing data and harmonized phenotypes from cohorts sequenced by the Alzheimer’s Disease Sequencing Project and other AD and Related Dementia’s studies. Samples are processed using a common…
- This GWAS dataset, ADC3, is the third set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing…
Related Studies
- The ADGC is a large U.S. based consortium formed to collaboratively use the collective resources of the AD research community to resolve Alzheimer’s disease (AD) genetics. Working with the National…
- GWAS studies were very successful in identifying genetic loci associated with AD risk. However, these studies could not point to the actual causal variant. In this study, WES and/or WGS…
- 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,…
- The APOE extremes whole genome sequencing (WGS) study entails Alzheimer’s disease (AD) case-control association analysis using an age extremes sampling approach stratified by APOE genotype, comparing younger onset AD cases…
- Background: Genomic studies of Alzheimer’s disease (AD) have primarily focused on non-Hispanic White (NHW) participants affected by the late-onset form of the disease (LOAD; onset age: >65), or the study…
- Identification of the plasma proteomic changes of Coronavirus disease 2019 (COVID-19) is essential to understanding the pathophysiology of the disease and developing predictive models and novel therapeutics. There are no…
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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…
- Knight ADRC samples were whole-genome sequenced at Broad/Genentech either on the HiSeqX or HiSeq2000/2500 machine. Samples in either format (BAM files from hg37 build and FASTQ files) were sent to…
- The microglia profile of the Parietal lobe of 44 donors from the Knight ADRC were sequenced using 10X genomics 3’ Chemistry v3 (10,000 nuclei per donor, 50,000 reads per nuclei),…
- The identification of genetic risk factors for Alzheimer’s Disease (AD) provides additional to support that multiple pathways contribute to its onset and progression. However, the metabolomic and lipidomic profiles altered…
- Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder with many biological processes, and molecular changes. The etiology of AD is complex and not specific to a single genetic factor. Epigenetic…
- The EOAD samples were sequenced at USUHS on the NovaSeq machine. 3176 samples were sequenced and FASTQ files were sent to GCAD for processing on the VCPA 1.1 pipeline. A…
- 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…
- The goal of WU350 cohort is to address the many complexities of the COVID-19 pandemic. Among the 332 COVID-19 cases, ~90% were symptomatic patients, 93.7% were hospitalized, 46.7% with ICU…
- Understanding the tissue-specific genetic controls of protein levels is essential to uncover mechanisms of post-transcriptional gene regulation. We previously generated a genomic atlas of protein levels in three tissues relevant…
- The ADC3 sample set was genotyped by the Center for Applied Genomics at the Children's Hospital of Philadelphia using the Illumina Human OmniExpress (HumanOmniExpress-12v1_A) BeadChip which captures genotype data on…
- 1,264 samples were sequenced at USUHS on the NovaSeq machine. FASTQ files were sent to GCAD for processing on the VCPA 1.1 pipeline. A total of 1,183 samples passed sequencing…
- The sample dataset was collected from the KnightADRC cohort. 1,113 participants were sequenced by MGI using Illumina NovaSeq technology. FASTQ and BAM files were sent to GCAD for processing. A…
- 659 samples were sequenced by USUHS and Macrogen on the NovaSeq and Illumina HiSeq 2500 platform. GCAD received FASTQ and CRAM files for processing. A total of 646 samples passed…
- 27 samples were sequenced at Genentech on Illumina HiSeqX and Illumina platforms. CRAM files were sent to GCAD for processing. A total of 21 samples passed sequencing metrics and quality…