Datasets

This dataset contains whole genome sequencing (WGS) and genotyping SNP array data for the Seattle Alzheimer’s Disease Brain Cell Atlas (SEA-AD) consortium’s 84 donor cohort. Whole genome sequencing data includes 84 samples that were sent to The American Genome Center for sequencing...

For a majority of the cases included in the study, inclusion criteria were a neuropathological diagnosis of Progressive Supranuclear Palsy (PSP; n=2,595), with the exception of a small number of cases, both living and deceased, that only had a neurological diagnosis (n=184)....

Investigators used association testing on single variants (MAF > 0.5%) and aggregates of rare (MAF < 1%) coding and non-coding variants with the R3 WGS data from the Alzheimer’s Disease Sequencing Project (ADSP) to uncover common and rare genetic variation that may...

CHARGE investigators performed single common variant association, rare variant aggregate analyses, and targeted association analyses in sub-populations using the R1 WGS data from the Alzheimer’s Disease Sequencing Project (ADSP) to identify causal and rare variants that were linked to loci from the...

Characterizing the mechanisms of somatic mutations in the brain is important for understanding aging and disease, but little is known about the mutational patterns of different cell types. We performed whole-genome sequencing of 86 single oligodendrocytes, 20 mixed glia, and 56 single...

This dataset contains the sex stratified and interaction summary statistics memory and memory slopes published in Eissman, et al, 2022 (Brain, PMID: 35552371). Cognitive and pathology data were harmonized across two datasets with autopsy measures of amyloid (ROS/MAP and ACT) and two...

This dataset contains the sex stratified and interaction summary statistics memory and memory slopes published in Eissman, et al, 2023 (Alzheimer’s and Dementia, PMID: 37984853). Memory scores were obtained from multiple ADSP cohorts (ACT, ADNI, NACC, ROS/MAP/MARS) at baseline and longitudinally. Memory...

Clinical AD diagnosis has been the focus of most genome-wide association studies of Alzheimer’s disease. Memory performance has received less attention even though it is a strong endophenotype for AD and is highly heritable. A major challenge in performing large-scale genomic analysis...

Autopsy measures of Alzheimer’s disease neuropathology have been leveraged as endophenotypes in previous genome-wide association studies (GWAS). However, despite evidence of sex differences in Alzheimer’s disease risk, sex-stratified models have not been incorporated into previous GWAS analyses. We looked for sex-specific genetic...

Cerebrospinal fluid (CSF) levels of amyloid-β 42 (Aβ42) and tau have been evaluated as endophenotypes in Alzheimer’s disease (AD) genetic studies. Although there are sex differences in AD risk, sex differences have not been evaluated in genetic studies of AD endophenotypes. We...

Approximately 30% of older adults exhibit the neuropathological features of Alzheimer’s disease without signs of cognitive impairment. Yet, little is known about the genetic factors that allow these potentially resilient individuals to remain cognitively unimpaired in the face of substantial neuropathology. This...

One of the most common Alzheimer’s Disease Related Dementias (ADRD) is Lewy body dementia. This umbrella term comprises two clinically distinct ADRDs: Parkinson’s disease dementia (PD-dementia) and dementia with Lewy bodies (DLB). There has been a growing interest in the genetic bases...

DNA methylation assays were conducted on a non-random subsample (n=4,104) of participants who participated in the 2016 Venous Blood Study. The sample includes all the participants of the 2016 Healthy Cognitive Aging Project (HCAP) who have provided blood samples, plus younger participants...

This GWAS dataset, ADC15, is the fifteen set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC14, is the fourteenth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC13, is the thirteenth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

Despite the fact that only modest adaptive immune system related approaches to treating Alzheimer’s disease (AD) are available, an immunogenomics approach to the study of Alzheimer’s disease has not yet substantially advanced.  Thus, we characterized T-cell receptor alpha (TRA) complementarity determining region-3...

The ANGI GWAS dataset includes demographics, APOE genotype, and GWAS data for participants from the ANGI cohort. This dataset also includes amyloid PET scan results (positive, negative, uninterpretable, not yet reported), level of cognitive impairment (no impairment, MCI, Dementia), year of onset...

This dataset includes individual level data from Singapore-Longitudinal study of Vascular Cognitive Impairment and Dementia. This includes both genotyping (raw and imputed) on the Infinium Global Screening Array-24 Kit as well as phenotypic data including age, sex, and overall cognitive diagnosis. There...

The Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife) aims are to: conduct a genetically sensitive study of individual differences in behavioral and cognitive change at the cusp of middle adulthood, in participants from the Colorado Adoption Project (CAP)...

To better capture the polygenic architecture of Alzheimer’s Disease (AD), we developed a joint genetic score, MetaGRS. We incorporated genetic variants for AD and 24 other traits from two independent cohorts, NACC (n = 3,174, training set) and UPitt (n = 2,053,...

This dataset includes individual level data from Sacramento Area Longitudinal Study on Aging (SALSA). This includes both genotyping (raw and imputed) on the Infinium Global Screening Array-24 Kit as well as phenotypic data including age, sex, prevalent dementia, incident dementia, and time...

This GWAS dataset, ADC12, is the twelfth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC11, is the eleventh set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC10, is the tenth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC9, is the ninth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC8, is the eighth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This dataset involves whole exome, genome, and genotyping array data (both pre-imputation and post-imputation data) from the University of Alabama at Birmingham (UAB) Alzheimer’s Disease Research Center. Participants are enrolled as either cognitively unimpaired, MCI, or a target of mild dementia and...

A dried blood spot (DBS) collection in Round 7 (2017) of NHATS provided the biological material for genotyping. Samples were genotyped at Erasmus Medical Center in Rotterdam, Netherlands on the Illumina Infinium Global Screening Array v3.0. The array contains clinical and rare...

Resveratrol exhibits a wide range of biological properties, including anti-glycation, antioxidant, anti-inflammation, neuroprotective (including against advanced dementia and Alzheimer’s disease), anti-cancer, and anti-aging activity in experimental models. Unfortunately, this compound exhibits low bioavailability and solubility, requiring large doses that can cause nausea...

The APOE and Serotonin Transporter Alleles data product includes data for the APOE isoform, directly genotyped using a TaqMan allelic discrimination SNP assay, where available, or imputed from preexisting genotype array data otherwise. This file also includes human serotonin transporter (5HTTLPR) short...

The majority of metabolite quantitative trait loci (MQTL) were discovered using blood and urine tissues. This data represents the first large-scaled CSF and brain study, which will advance the understanding of genetic regulation in metabolite levels by identifying novel MQTLs. For 440...

Quantitative trait locus (QTL) analysis has proven successful in the identification of causal genes at disease loci, but many of these loci still do not clearly link to genes. These QTL studies are either highly specific to plasma (for proteomics) or are...

This ADSP release, containing 170 whole-exomes includes 1) sequencing read alignments in CRAM (compressed BAM) format for the newly sequenced 170 samples, (2) genomic Variant Call Format (gVCF) files generated by GATK4.1.1 on samples. The pVCF released here is provided as a...

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 admission, 24.7% on ventilation, and 19.0% died due to COVID-19 (82 ventilated...

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 performed Whole-exome and Whole-Genome association analyses with Alzheimer’s disease risk in ADSP data (NG00067.v5), focusing on non-Hispanic white individuals of European ancestry. Specifically, we designed novel variant filters that account for variant frequency differences across sequencing centers/platforms in the ADSP data....

Single-neuron amplified genome libraries were sequenced (WGS) on Illumina instruments and aligned to the human reference genome GRCh37. Linked-read analysis (LiRA) and SCAN-SNV were used to identify single-cell somatic mutations. The single-cell dataset includes a total of 319 single-neuron genome sequences (172...

These data include a total of 18,916 subjects from the Health and Retirement Study genotyped on Illumina HumanOmni2.5-arrays.  Data files also include imputed data using the 1000 Genomes and the Haplotype Reference Consortium (HRC) reference panels. Respondents who consented to the saliva...

Structural variants (SVs) were discovered in 1,760 donors by running a combination of seven different tools to capture the main classes of variation, including deletions (DEL), duplications (DUP), insertions (INS), inversions (INV), mobile element insertions (MEI), and complex rearrangements (CPX). We mapped...

The NCRAD Families sample set was genotyped at the Children’s Hospital of Philadelphia using the Illumina Infinium GSAMD-24v2-0_20024620_A1 BeadChip which captures genotype data on 759,993 genomic SNPs. These families are not evaluated in person. Family history and demographic data are collected and...

Many regions of the human genome present challenges that prohibit scientists from discovering potential disease-causing mutations. We developed methods to characterize mutations in these regions to rescue mutations that are otherwise overlooked. PMID: 31104630 Provided here are variant calls in VCF format...

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 changes could help explain the missing heritability not capture in GWAS chips...

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 among carriers of distinct genetic risk factors is not fully understood. The...

Alzheimer’s disease (AD) is the most prevalent cause of dementia. While there is no effective treatment for AD, a growing body of evidence points to passive immunotherapy with monoclonal antibodies against amyloid beta (Aβ) as a promising therapeutic strategy. Meningeal lymphatic drainage...

In 2018, 960 respondents from LASI-DAD who consented to the blood sample collection have been genotyped using Illumina Infinium genotyping platforms. The datasets being submitted include the original genotype assayed by the genotyping platforms, imputed data to the 1000G reference panel, as...

Microglia Genomic Atlas – MiGA (NG00105.v1): Post-mortem brain samples were obtained from the Netherlands Brain Bank (NBB). The permission to collect human brain material was obtained from the Ethical Committee of the VU University Medical Center, Amsterdam, The Netherlands. Informed consent for...

The 90+ Study was initiated in 2003 to study the oldest-old, the fastest growing age group in the United States. The 90+ Study is one of the largest studies of the oldest-old in the world. More than 1,600 people have enrolled. Initial...

Genetic studies of Alzheimer disease have focused on the clinical or pathologic diagnosis as the primary outcome, but little is known about the genetic basis of the preclinical phase of the disease. The objective of this study was to examine the underlying...

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 to neurological disorders (brain, cerebrospinal fluid and plasma) by profiling thousands of...

This GWAS dataset, ADC7, is the seventh set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC6, is the sixth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC5, is the fifth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC4, is the fouth set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

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 workflow called VCPA (Variant Calling Pipeline and data management tool), a functionally...

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 Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC2, is the second set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...

This GWAS dataset, ADC1, is the first set of ADC genotyped subjects used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here, are the PLINK genotype files that have undergone...