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.
The Mexican Health and Aging Study (MHAS)
The Mexican Health and Aging Study (MHAS) started as a prospective panel study of health and aging in Mexico. The MHAS study will design, field, and disseminate the data to achieve research goals that include: examining the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluating the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; comparing the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second-generation Mexican-Americans using similar data from the U.S. population (for example the biennial Health and Retirement Study) to assess the durability of the migrant health advantage; assess the health of all components of the population from which migrants are selectively recruited; and considering ways in which intergenerational transfer systems affect old-age health dynamics in a country where migration is commonplace and remittances may repay prior investments or ensure against uncertainty in old age.
Vietnam Era Twin Study of Aging
The Vietnam Era Twin Study of Aging (VETSA) is a large-scale investigation of cognitive aging from middle to later age. The intended sample was recruited from the Vietnam Era Twin Registry (VETR), a registry of middle-aged male-male twin pairs who both served in the United States military during the Vietnam conflict (1965-1975). VETSA employs a multitrait, multimethod approach to cognitive assessment to focus on the genetic and environmental contributions to cognitive processes over time, as well as the relative contributions to cognitive aging from health, social, personality, and other contextual factors.
Wisconsin Longitudinal Study
The Wisconsin Longitudinal Study (WLS) is a long-term study of a random sample of 10,317 men and women who graduated from Wisconsin high schools in 1957. The WLS provides an opportunity to study the life course, intergenerational transfers and relationships, family functioning, physical and mental health and well-being, and morbidity and mortality from late adolescence through 2008. WLS data also cover social background, youthful aspirations, schooling, military service, labor market experiences, family characteristics and events, social participation, psychological.
NIA Array Analysis tool is a free on-line software for statistical analysis of gene expression data (microarrays or RNA-seq). The tool uses ANOVA to evaluate the statistical significance (p-value and FDR) of differential gene expression on log-scale. Results are visualized using log-ratio plots and scatter-plots. Principal Component Analysis (PCA) is used to identify major patterns of variability in gene expression, and then clusters of genes correlated with each PC are delineated. Additional tools include finding genes whose expression matches a given pattern, plotting the dendrogram for individual replications, the error function (SD vs. expression level), and displaying the correlation matrix. Input data is uploaded as tab-delimited text together with annotation file for microarray platform.
Complex LCR Detector and Analyzer
The program LCRSimulationAnalysis was created by Alexander Maltsev at the Laboratory of Cardiovascular Science at the National Institute of Aging, National Institutes of Health. The program detects and analyses complex Local Ca Releases in numerical simulations of intracellular Ca dynamics in cardiac pacemaker cells (sinoatrial node cells) using Stern et al. model published in 2014 in Journal of General Physiology 2014 May;143(5):577-604.
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.
Pancreas++ is a novel algorithm that facilitates the fully-automated, non-biased, and highly reproducible investigation of islet area and alpha- and beta-cell quantity, as well as position within the islet for either single or large batches of fluorescent images. The algorithm uses active contour models to quantify images accurately and quickly, resulting in an output of an easy-to-read tabular format. Pancreas++ can distinguish between relevant pixels and noise, process multiple islets within the same image, and function without the aid of user interaction. Read more about Pancreas++.
Plurigon is a data visualization and classification tool for the integration of high-dimensionality visualization algorithms with a user-friendly, interactive graphical interface. Plurigon processes a series of floating-point numbers into a deformable 3D object with a visible topography using spiral spacing, convex hulls, and laplacian smoothing of polygonal meshes. Plurigon contains an easy-to-use keyboard layout for axial drawing, zooming, rotating, importing, and exporting. Read more about Plurigon and download the tool.
Textrous! is a web-based framework for the extraction of biomedical semantic meaning from a given input gene set of arbitrary length. Textrous! employs natural language processing techniques, including latent semantic indexing , sentence splitting, word tokenization, parts-of-speech tagging, and noun-phrase chunking, to mine MEDLINE abstracts, PubMed Central articles, articles from the Online Mendelian Inheritance in Man, and Mammalian Phenotype annotation obtained from Jackson Laboratories.
Clinical Research Resources
Short Physical Performance Battery (SPPB)
The Short Physical Performance Battery (SPPB) is an objective assessment tool for evaluating lower extremity functioning in older persons. It was developed by the National Institute on Aging and is available for use without permission or royalty fees. This site will allow you to download the contents of a training CD that includes comprehensive instructions on the administration of the battery, safety tips, a scoring sheet and background information on publications that support the methodology. These files may be used on your computer or written to a CD. A cover for the CD case is also available for downloading and printing.