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Description

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 study explored the genetic variants associated with resilience to Alzheimer’s disease, leveraging cognitive and pathology data harmonized across two datasets with autopsy measures of amyloid (ROS/MAP and ACT) and two datasets with amyloid PET (A4 and ADNI). Resilience phenotypes were calculated using a latent variable modeling approach, modeling better than expected cognition for a given level of amyloid pathology, following the method originally published in Hohman, et al, 2017 (PMID: 27743375). Cognitive resilience accounted for amyloid levels, age, and sex. Global cognitive resilience further incorporated education with cognitive resilience. Genotype data in each study underwent standard quality control and imputation onto the HRC reference panel (genome build 37). GWAS on both resilience phenotypes were performed including all samples as well as subsetted to only cognitively normal samples to evaluate resilience at the preclinical stage of disease.

Available Filesets

NameAccessionLatest ReleaseDescription
Resilience: Full summary statistics (application needed)fsa000100NG00156.v1Full summary statistics
Resilience: P-values only (open access)fsa000101NG00156.v1P-values only

View the File Manifest for a full list of files released in this dataset.

Consent LevelNumber of Subjects
DS-ADRD-IRB-PUB-NPUNA

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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.

Use the study-specific acknowledgement statements below (as applicable):

For investigators using any data from this dataset:

Please cite/reference the use of NIAGADS data by including the accession NG00156.

For investigators using Genetic variants and functional pathways associated with resilience to Alzheimer's disease (sa000048) data:

This research was supported in part by K01-AG049164, R01-AG059716, R21-AG05994, K12-HD043483, K24-AG046373, HHSN311201600276P, S10-OD023680, R01-AG034962, R01-NS100980, R01-AG056534, P30-AG010161, R01-AG057914, R01-AG15819, R01-AG17917, R13-AG030995, U01-AG061356, U01-AG006781, K99-AG061238, U01-AG46152, Howard Hughes Medical Institute James H. Gilliam Fellowship for Advanced Study (FEC), F31-AG059345 (FEC), UL1-TR000445 and the Vanderbilt Memory & Alzheimer’s Center. Data collection was supported through funding by NIA grants P50-AG016574, P50-AG005136, R01-AG032990, U01-AG046139, R01-AG018023, U01-AG006576, U01-AG006786, R01-AG025711, R01-AG017216, R01-AG003949, P30-AG19610, U01-AG024904, U01-AG032984, U24-AG041689, R01-AG046171, RF1-AG051550, 3U01-AG024904-09S4, NINDS grant R01-NS080820, CurePSP Foundation, and support from Mayo Foundation.

Dumitrescu L, et al. Genetic variants and functional pathways associated with resilience to Alzheimer’s disease. 2020 Aug 1;143(8):2561-2575. doi: 10.1093/brain/awaa209. PMID: 32844198; PMCID: PMC7447518. PubMed link