Use the NIA Research Resources database to find NIA-supported scientific resources, datasets, informatics resources, and more. Search by keyword, resource type, or NIA Division or IRP.
Midlife in the United States
MIDUS (Midlife in the U.S.) is a national sample of continental U.S. residents, aged 25 to 74, who were first interviewed in 1995-96. The original study was conceived by a multidisciplinary team of investigators interested in the influence of psychological and social factors on health, broadly defined, as people age from early adulthood to later life. MIDUS is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. The scientific scope of the study was extended by adding comprehensive biological assessments on a subsample of respondents. In its longitudinal extension, MIDUS thus became a forum for investigating health as an integrative process, which involved combining the behavioral and social sciences together with bio-medically oriented research.
National Alzheimer's Coordinating Center (NACC)
Funded by NIA, the National Alzheimer's Coordinating Center (NACC) has developed and maintains a large relational database of standardized clinical and neuropathological research data. NACC provides a valuable resource for both exploratory and explanatory Alzheimer's disease research. NACC data are freely available to all researchers.
National Archive of Computerized Data on Aging (NACDA)
Sponsored by NIA, NACDA operates under the auspices of the ICPSR and is responsible for archiving data sets concerned with the process of aging, health-related subjects, and the attitudes and behavior of the aged population. NACDA publishes an annual data collections catalog entitled Data Collections From the National Archive of Computerized Data on Aging.
National Health and Aging Trends Study (NHATS)
The National Health and Aging Trends Study (NHATS) is a new resource for the scientific study of functioning in later life. The NHATS is being conducted by the Johns Hopkins University Bloomberg School of Public Health, with data collection by Westat, and support from the NIA. In design and content, NHATS is intended to foster research that will guide efforts to reduce disability, maximize health and independent functioning, and enhance quality of life at older ages.
National Long Term Care Survey (NLTCS)
The National Long-Term Care Survey is a longitudinal survey designed to study changes in the health and functional status of older Americans (aged 65+). It also tracks health expenditures, Medicare service use, and the availability of personal, family, and community resources for caregiving.
The NLTCS survey population consists of a sample of 35,789 people drawn from national Medicare enrollment files in 1982 that has been augmented with subsequent samples of approximately 20,000 Medicare enrollees obtained by adding 5,000 people passing age 65 between successive surveys done approximately every five years. This technique ensures a large, nationally-representative sample at each point in time. Both elderly in the community (including those not impaired) and those residing in institutions are represented in the samples. The survey is administered by the U.S. Census Bureau using trained interviewers, and the response rate is above 95 percent for all waves.
National Social Life, Health, and Aging Project (NSHAP)
The National Social Life, Health, and Aging Project (NSHAP) is a longitudinal, population-based study of health and social factors, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health and illness, medication use, cognitive function, emotional health, sensory function, health behaviors, social connectedness, sexuality, and relationship quality. NSHAP provides policy makers, health providers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The study contributes to finding new ways to improve health as people age.
mitoAnalyzer is a software package that provides a general approach for the analysis of mitochondrial DNA (mtDNA) in next-generation sequencing studies, using whole-genome sequencing data. It has two components:
- mitoCaller -- an algorithm designed specifically to identify mtDNA variants (i.e., homoplasmies and heteroplasmies)
- mitoCaller incorporates sequencing error rates at each base in a likelihood calculation and allows allele fractions at a variant site to differ among individuals. It relies on a genotype likelihood calculation, described below:
- Genotype Likelihood Calculation:
- mitoCalc and fastMitoCalc -- programs to estimate mtDNA copy number in a cell directly from sequencing data
- mitoCalc and fastMitoCalc estimate mtDNA copy number based on the observed ratios of sequence coverages between mtDNA and autosomal DNA.
- The most recent update, fastMitoCalc is a program that can estimate mtDNA copy number highly accurately but is more than 100 times faster than mitoCalc.
- fastMitoCalc can rapidly analyze hundreds of thousands of genomes, thereby facilitating association studies of mtDNA copy number with quantitative traits or nuclear variants.
Clinical Research Resources
Multicenter Osteoarthritis Study (MOST)
The Multicenter Osteoarthritis Study (MOST) is a longitudinal, prospective, observational study of knee osteoarthritis (OA) in older Americans with OA disease or at increased risk of developing it. The study is comprised of two clinical centers, a data coordinating center, and an analysis center.
The overall aims of MOST are to identify novel and modifiable biomechanical factors (including physical activity-related factors), bone and joint structural factors (including those assessed by MRI of the knee), and nutritional factors that affect the occurrence and progression of OA-related knee symptoms and radiographic knee OA. Additionally, MOST investigators aim to determine whether risk factors for new disease differ from those for OA progression. The MOST cohort has been followed through 84 months with three investigative themes: mechanical risk factors, causes of knee symptoms and pain, and the long term disease trajectory of knee OA.
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)
National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD). This NIH-funded repository provides resources that help researchers identify the genes that contribute to Alzheimer’s and other types of dementia. NCRAD collects and maintains biological specimens and associated data on study volunteers from a variety of sources, primarily people enrolled at ADCs, as well as those in the Alzheimer’s Disease Neuroimaging Initiative, the Alzheimer’s Disease Genetics Consortium, and other studies. NCRAD also houses DNA samples and data from more than 900 families with multiple members affected by Alzheimer’s. Since it was funded 22 years ago, more than 150,000 biological samples have been requested and sent to more than 120 investigators and research centers across the world.
NIA Genetics of Alzheimer's Disease Data Storage Site (NIAGADS)
NIAGADS is the NIA Genetics of Alzheimer's Disease Data Storage Site, a national genetics data repository that facilitates access to data by qualified investigators. NIAGADS archives, processes and distributes data related to the genetics and genomics of Alzheimer’s disease. NIAGADS provides an integrated tool set for examining and comparing the genomes of affected and unaffected individuals. With it, you can locate single nucleotide polymorphisms (SNPs) and sequences on the reference genome.
There is a variety of data available from NIAGADS and sites that partner with NIAGADS.
genomic data from NIA-funded genetic studies
deep phenotype data and biomarkers
primary and secondary analyses including CHIP-Seq, RNA-Seq, and expression data
genome wide association studies
genetic data from case-control, family-based, and epidemiologic studies
a variety of basic science and clinical research approaches
next generation and targeted genome sequencing