Showing 70 studies
| Study | Accession Number | Related Datasets |
|---|---|---|
| Alzheimer’s Disease Sequencing Project (ADSP) | sa000001 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Alzheimer’s Disease Neuroimaging Initiative (ADNI) | sa000002 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Alzheimer’s Disease Genetics Consortium (ADGC) | sa000003 | NG00022 - ADC1 - Alzheimer's Disease Center Dataset 1 NG00023 - ADC2 - Alzheimer's Disease Center Dataset 2 NG00024 - ADC3 - Alzheimer's Disease Center Dataset 3 NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study NG00068 - ADC4 - Alzheimer's Disease Center Dataset 4 NG00069 - ADC5 - Alzheimer's Disease Center Dataset 5 NG00070 - ADC6 - Alzheimer's Disease Center Dataset 6 NG00071 - ADC7 - Alzheimer's Disease Center Dataset 7 NG00136 - ADC8 - Alzheimer's Disease Center Dataset 8 NG00137 - ADC9 - Alzheimer's Disease Center Dataset 9 NG00138 - ADC10 - Alzheimer's Disease Center Dataset 10 NG00139 - ADC11 - Alzheimer's Disease Center Dataset 11 NG00140 - ADC12 - Alzheimer's Disease Center Dataset 12 NG00149 - ADC13 - Alzheimer's Disease Center Dataset 13 NG00150 - ADC14 - Alzheimer's Disease Center Dataset 14 NG00151 - ADC15 - Alzheimer's Disease Center Dataset 15 |
| The Familial Alzheimer Sequencing (FASe) project | sa000004 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Brkanac – Family-based genome scan for AAO of LOAD | sa000005 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| HIHG Miami Families with AD | sa000006 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Washington Heights and Inwood Community Aging project (WHICAP) | sa000007 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Charles F. and Joanne Knight Alzheimer’s Disease Research Center (Knight ADRC) | sa000008 | NG00035 - GWAS of CSF tau levels identifies risk variants for Alzheimer’s Disease NG00049 - Knight ADRC GWAS of CSF Summary Statistics – Cruchaga et al., 2013 NG00050 - GWAS of CLU, A potential endophenotype for Alzheimer's disease NG00052 - CLU, A potential endophenotype for AD: Summary Statistics- Deming et al., 2016 NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study NG00102 - Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders NG00108 - Profiling microglia expression profiles in AD using single-nuclei RNA-seq NG00113 - Metabolomic and lipidomic signatures in Alzheimer disease brains NG00114 - DNA Methylation in Alzheimer disease brains NG00127 - A longitudinal study of Alzheimer's Disease and other dementing illnesses – KnightADRC GWAS NG00167 - Brain Small RNA Transcriptomics for AD and Related Dementias NG00168 - Plasma Small RNA Transcriptomics for AD and Related Dementias |
| Corticobasal degeneration Study (CBD) | sa000009 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Progressive Supranuclear Palsy Study (PSP) | sa000010 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Accelerating Medicines Partnership- Alzheimer’s Disease (AMP-AD) | sa000011 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| University of Pittsburgh- Kamboh WGS | sa000012 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| APOE Extremes WGS Study | sa000013 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Cache County Study | sa000014 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| NIH, CurePSP and Tau Consortium PSP WGS | sa000015 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| CurePSP and Tau Consortium PSP WGS | sa000016 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| UCLA Progressive Supranuclear Palsy | sa000017 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| MiGA – Microglia Genomic Atlas | sa000018 | NG00105 - MiGA – Microglia Genomic Atlas |
| The Diagnostic Assessment of Dementia for the Longitudinal Aging Study of India (LASI-DAD) | sa000019 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study NG00106 - LASI-DAD Genotyping Chip Data (Illumina Infinium GSA-24 v2.0), Imputed Data (1000 Genomes Phase 3 v5 and TOPMed r2) NG00171 - Population structure in LASI-DAD |
| Clinical and Pathological Studies in the Oldest Old (90+ Study) | sa000020 | NG00104 - Dataset from Clinical and Pathological Studies in the Oldest Old (90+ Study) |
| Health and Retirement Study (HRS) | sa000021 | NG00119 - Health and Retirement Study Genotype Data 2006-2012 NG00132 - Health and Retirement Study (HRS) APOE and Serotonin Transporter Alleles NG00153 - Health and Retirement Study (HRS) DNA Methylation |
| Alzheimer’s disease single-neuron whole-genome sequencing – Miller 2022 | sa000022 | NG00121 - Alzheimer’s disease single-neuron whole-genome sequencing - Miller 2022 |
| Dissecting the Genomic Etiology of non-Mendelian Early-Onset Alzheimer Disease (EOAD) and Related Phenotypes | sa000023 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| NCRAD Family Study | sa000025 | NG00117 - NCRAD Families GWAS NG00129 - NCRAD Families Whole Exome Sequencing |
| Knight ADRC & WU350 | sa000026 | NG00128 - Proteomic profiling identified plasma biomarkers for SARS-CoV-2 infection and severity of COVID-19 patients |
| A fast and robust strategy to remove variant level artifacts in Alzheimer’s Disease Sequencing Project data (Belloy et al. 2022) | sa000027 | NG00126 - A fast and robust strategy to remove variant level artifacts in Alzheimer’s Disease Sequencing Project data (Belloy et al. 2022) |
| Integrating whole-genome sequencing with multi-omic data reveals the impact of structural variants on gene regulation in the human brain – Vialle et al. 2022 | sa000028 | NG00118 - AMP-AD SV WGS and SV-xQTL |
| Safety and pharmacokinetics of a highly bioavailable resveratrol preparation (JOTROL TM) | sa000029 | NG00133 - Hayward Jupiter Neurosciences |
| National Health and Aging Trends Study (NHATS) | sa000030 | NG00134 - National Health and Aging Trends Study (NHATS) GWAS |
| Large scale pQTL and mQTL atlas in brain and CSF | sa000031 | NG00130 - Large scale CSF proteogenomic atlas NG00131 - Large scale genetics study on CSF and brain metabolite levels |
| The Prediction of Alzheimer’s Disease through Multi-Trait Genetic Modeling | sa000033 | NG00144 - The Prediction of Alzheimer’s Disease through Multi-Trait Genetic Modeling |
| Alzheimer’s disease (AD) and immune receptor recombinations | sa000035 | NG00148 - Alzheimer's disease (AD) and immune receptor recombinations |
| The University of Alabama Birmingham Alzheimer’s Disease Research Center (UAB ADRC) | sa000036 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study NG00135 - UAB ADRC - University of Alabama at Birmingham Alzheimer’s Disease Research Center |
| Singapore Longitudinal study of Vascular Cognitive Impairment and Dementia | sa000037 | NG00146 - Singapore Longitudinal study of Vascular Cognitive Impairment and Dementia |
| Dementia in Parkinson’s Disease | sa000038 | NG00154 - Dementia in Parkinson's Disease(PDD) |
| Sex-specific genetic architecture of late-life memory performance | sa000040 | NG00160 - Sex-specific genetic architecture of late-life memory performance |
| Longitudinal Change in Memory Performance as a Strong Endophenotype for Alzheimer’s Disease – Archer, et al, 2023 | sa000041 | NG00159 - Longitudinal Change in Memory Performance as a Strong Endophenotype for Alzheimer’s Disease – Archer, et al, 2023 |
| Resolving mutations in challenging genomic regions to test association with disease phenotypes | sa000042 | NG00116 - Resolving mutations in challenging genomic regions to test association with disease phenotypes |
| Sex-specific genetic predictors of Alzheimer’s disease biomarkers – Deming, et al. 2018 | sa000043 | NG00157 - Sex-specific genetic predictors of Alzheimer's disease biomarkers – Deming, et al. 2018 |
| Sex differences in the genetic predictors of Alzheimer’s pathology – Dumitrescu, et al. 2019 | sa000044 | NG00158 - Sex differences in the genetic predictors of Alzheimer’s pathology – Dumitrescu, et al. 2019 |
| Sex differences in the genetic architecture of cognitive resilience to Alzheimer’s disease – Eissman, et al. 2022 | sa000045 | NG00161 - Sex differences in the genetic architecture of cognitive resilience to Alzheimer's disease – Eissman, et al. 2022 |
| Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife) | sa000046 | NG00145 - Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife) APOE |
| Association Between Common Variants in RBFOX1, an RNA-Binding Protein, and Brain Amyloidosis in Early and Preclinical Alzheimer Disease | sa000047 | NG00103 - Association Between Common Variants in RBFOX1, an RNA-Binding Protein, and Brain Amyloidosis in Early and Preclinical Alzheimer Disease |
| Genetic variants and functional pathways associated with resilience to Alzheimer’s disease | sa000048 | NG00156 - Genetic variants and functional pathways associated with resilience to Alzheimer's disease |
| Amyloid Neuroimaging and Genetics Initiative (ANGI) | sa000049 | NG00147 - Amyloid Neuroimaging and Genetics Initiative (ANGI) GWAS |
| CHARGE Association results from the ADSP R1 WGS data set – Wang et al., 2024 | sa000050 | NG00165 - CHARGE Association results from the ADSP R1 WGS data set |
| Rates and mechanisms of age-related somatic mutation in normal and Alzheimer brain | sa000051 | NG00162 - Oligodendrocytes single-cell whole genome and RNA sequencing |
| Plasma Cell-Free RNA Transcriptomics for AD and Related Dementias | sa000052 | NG00142 - Plasma Cell-Free RNA Transcriptomics for AD and Related Dementias |
| Association results from the ADSP R3 17k WGS data set – Lee et al., 2023 | sa000053 | NG00166 - Association results from the ADSP R3 17k WGS data set - Lee et al., 2023 |
| Genetic, transcriptomic, histological, and biochemical analysis of progressive supranuclear palsy implicates glial activation and novel risk genes – Farrell et al., 2024 | sa000054 | NG00169 - Progressive Supranuclear Palsy (PSP) Summary Statistics- Farrell et al., 2024 |
| The Sacramento Area Latino Study on Aging (SALSA) | sa000055 | NG00141 - The Sacramento Area Latino Study on Aging |
| Genetic Studies of Alzheimer’s Disease in Korea | sa000056 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Wellderly – Healthy Elderly Active Longevity (HEAL) | sa000057 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Arizona APOE Cohort Study | sa000058 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Genetic Architecture of Alzheimer’s disease and Related Proteinopathies | sa000059 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| ASPirin in Reducing Events in the Elderly (ASPREE) | sa000060 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Health & Aging Brain Study – Health Disparities (HABS-HD) | sa000061 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Genetic Studies of Alzheimer’s Disease in Caribbean Hispanics (EFIGA) | sa000062 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| National Institute of Aging Alzheimer’s Disease Family Based Study (NIA AD-FBS) | sa000063 | NG00067 - Alzheimer's Disease Sequencing Project Umbrella Study |
| Whole-genome sequencing analysis reveals new susceptibility loci and structural variants associated with progressive supranuclear palsy– Wang et al., 2024 | sa000064 | NG00172 - GWAS Summary Statistics of SNVs/INDELs/SVs for Progressive Supranuclear Palsy (PSP) – Wang et al., 2024 |
| The Seattle Alzheimer’s Disease Brain Cell Atlas (SEA-AD) | sa000065 | NG00174 - Whole Genome Sequencing (WGS) and SNP Array data for the SEA-AD Consortium Cohort |
| Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel: A Meta-analysis. Kunkle et al. (2021) | sa000066 | NG00100 - Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel: A Meta-analysis. Kunkle et al. (2021) |
| UAB/HudsonAlpha Families with Neurodegenerative Diseases | sa000067 | NG00082 - UAB/HudsonAlpha Families with Neurodegenerative Diseases |
| Multi-region brain transcriptomic analysis of amyotrophic lateral sclerosis reveals widespread RNA alterations and substantial cerebellum involvement | sa000068 | NG00178 - Multi-brain region mRNA-seq of sporadic ALS patients with pTDP-43 pathological staging |
| IGAP Rare Variant Summary Statistics- Kunkle et al. (2019) | sa000069 | NG00075 - IGAP Rare Variant Summary Statistics- Kunkle et al. (2019) |
| Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies LRRC4C, LHX5-AS1 and nominates ancestry-specific loci PTPRK, GRB14, and KIAA0825 as novel risk loci for Alzheimer’s disease: the Alzheimer’s Disease Genetics Consortium – Rajabli et al., 2025 | sa000070 | NG00177 - ADGC Multi-Ancestry GWAS Meta-Analysis – Rajabli et al., 2025 |
| GWAS of multiple neuropathology endophenotypes identifies new risk loci and provides insights into the genetic risk of dementia- Shade et al. 2024 | sa000072 | NG00175 - Genome-wide association study of neuropathology endophenotypes |
| Whole-genome sequencing study in Koreans identifies novel loci for Alzheimer’s disease – Kang et al., 2024 | sa000073 | NG00182 - GARD GWAS Summary Statistics – Kang et al., 2024 |
| Four large scale pQTL and mQTL atlases in plasma from European and African ancestral groups | sa000074 | NG00180 - Four large scale pQTL and mQTL atlases in plasma from European and African ancestral groups |
| Diverse somatic genomic alterations in single neurons in chronic traumatic encephalopathy | sa000075 | NG00183 - Diverse somatic genomic alterations in single neurons in chronic traumatic encephalopathy |