Description
Data Available
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Within the application, add this dataset (accession NG00153) in the “Choose a Dataset” section.
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Description
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 designated for future HCAP assessments, and a subsample of HCAP non-participants. This subsample fully represents the entire HRS sample. A total of 4,018 samples passed QC. The sample is 58% female and has a median age of 68.7 years. It is racially diverse: Non Hispanic White (n=2,669, 66.4%), Non Hispanic Black (n=658, 16.4%), Hispanic (n=567, 14.11%), Non Hispanic Other (n=124, 3%). The sample is also socioeconomically diverse. The educational distribution is less than High School (16.8%), High School / GED (52.12%), Some College (5.97%), College + (24.1%), Other (1%).
Genotype data for HRS subjects is available at NG00119 – Health and Retirement Study Genotype Data 2006-2012, and APOE phenotype data for HRS subjects is available at NG00132 – Health and Retirement Study (HRS) APOE and Serotonin Transporter Alleles. To obtain subject ID mapping between HRS datasets, please submit a Genetic Data Cross-Reference Request Form on the HRS website.
Sample Summary per Data Type
| Sample Set | Accession | Data Type | Number of Samples |
|---|---|---|---|
| Health and Retirement Study (HRS) DNA Methylation | snd10055 | DNA Methylation | 4,018 |
Available Filesets
| Name | Accession | Latest Release | Description |
|---|---|---|---|
| HRS DNAm: Methylation beta values, IDATs, Phenotypes, and Documentation | fsa000069 | NG00153.v1 | Methylation beta values, IDATs, Phenotypes, and Documentation |
View the File Manifest for a full list of files released in this dataset.
Subject Information
Provided in this dataset is a matrix of DNA methylation beta values that underwent a process of quality control measures by the Survey Research Center, a center within the Institute for Social Research at the University of Michigan. DNA methylation assays were performed on 4,018 subjects at the University of Minnesota on the Infinium MethylationEPIC v1.0, which captured DNA methylation data for 836,660 methylation probes.
| Sample Set | Accession Number | Number of Subjects |
|---|---|---|
| Health and Retirement Study (HRS) DNA Methylation | snd10055 | 4,018 |
Related Studies
Consent Levels
| Consent Level | Number of Subjects |
|---|---|
| GRU-IRB-PUB-NPU | 4,018 |
Visit the Data Use Limitations page for definitions of the consent levels above.
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.
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 NG00153.
For investigators using Health and Retirement Study (sa000021) data:
HRS is supported by the National Institute on Aging (NIA U01AG009740). The genotyping was partially funded by separate awards from NIA (RC2 AG036495 and RC4 AG039029). Our genotyping was conducted by the NIH Center for Inherited Disease Research (CIDR) at Johns Hopkins University. Genotyping quality control and final preparation were performed by the Genetics Coordinating Center at University of Washington (Phases 1-3) and the University of Michigan (Phase 4).
Related Publications
Crimmins EM, et al. Associations of Age, Sex, Race/Ethnicity, and Education With 13 Epigenetic Clocks in a Nationally Representative U.S. Sample: The Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2021 May 22;76(6):1117-1123. doi: 10.1093/gerona/glab016. PMID: 33453106; PMCID: PMC8140049. PubMed link
Faul JD, et al. Epigenetic-based age acceleration in a representative sample of older Americans: Associations with aging-related morbidity and mortality. Proc Natl Acad Sci U S A. 2023 Feb 28;120(9):e2215840120. doi: 10.1073/pnas.2215840120. PMID: 36802439; PMCID: PMC9992763. PubMed link