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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 SetAccessionData TypeNumber of Samples
Health and Retirement Study (HRS) DNA Methylationsnd10055DNA Methylation4,018

Available Filesets

NameAccessionLatest ReleaseDescription
HRS DNAm: Methylation beta values, IDATs, Phenotypes, and Documentationfsa000069NG00153.v1Methylation beta values, IDATs, Phenotypes, and Documentation

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

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 SetAccession NumberNumber of Subjects
Health and Retirement Study (HRS) DNA Methylationsnd100554,018
Consent LevelNumber of Subjects

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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 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).

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