--- title: "Chicago Health and Aging Project (CHAP)" id: "1003" type: "cohort" slug: "chicago-health-and-aging-project-chap" published_at: "2020-02-19T15:05:14+00:00" modified_at: "2025-09-12T15:00:00+00:00" url: "https://dss.niagads.org/cohorts/chicago-health-and-aging-project-chap/" markdown_url: "https://dss.niagads.org/cohorts/chicago-health-and-aging-project-chap.md" excerpt: "The Chicago Healthy Aging Project (CHAP) is a longitudinal population study of an urban general population sample (n= 10,000+) lasting from 1993 to 2012 of common chronic health problems of older persons, especially of risk factors for incident Alzheimer’s disease,..." taxonomy_cohort_categories: - "ADSP" taxonomy_cohort_countries: - "United States of America" --- Website: [https://www.riha.rush.edu/studies.html](https://www.riha.rush.edu/studies.html) ## Description The Chicago Healthy Aging Project (CHAP) is a longitudinal population study of an urban general population sample (n= 10,000+) lasting from 1993 to 2012 of common chronic health problems of older persons, especially of risk factors for incident Alzheimer’s disease, based in three neighborhoods on the south side of Chicago. An initial enrollment was supplemented by enrollment of successive age cohorts of community residents as they attained the age of 65. After the enrollment period, the CHAP pursued a complex strategy for follow-up evaluations, interviewing all participants about every three years and conducting in-depth clinical evaluations among a stratified random sample of participants at each of these cycles. Cognition was assessed for all CHAP subjects and the presence of Alzheimer’s disease (AD) was assessed for those in the Clinical Evaluation sample. Clinical evaluation included a neuropsychological battery, structured neurological examination and medical history. For persons in whom there was evidence of dementia and uncertainty as to whether a stroke had occurred or its relation to detention, limited diagnostic use of brain magnetic resonance imaging (MRI) occurred. Diagnosis of dementia required loss of cognitive function by the neurologist’s assessment and impairment in two or more functions on cognitive performance tests. The diagnosis of Alzheimer’s disease was by criteria of the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association (NINCDS/ADRDA) for probable Alzheimer’s disease. ## Related Datasets - [NG00067 – ADSP Umbrella](https://dss.niagads.org/datasets/ng00067/) This dataset includes sequencing data and harmonized phenotypes from cohorts sequenced by the Alzheimer’s Disease Sequencing Project and other AD and Related Dementia’s studies. Samples are processed using a common… [Learn more](https://dss.niagads.org/datasets/ng00067/) - [NG00116 – Resolving Mutations in Challenging Genomic Regions to Test Association with Disease Phenotypes](https://dss.niagads.org/datasets/ng00116/) Many regions of the human genome present challenges that prohibit scientists from discovering potential disease-causing mutations. We developed methods to characterize mutations in these regions to rescue mutations that are… [Learn more](https://dss.niagads.org/datasets/ng00116/) - [NG00176-CNVs from ADSP WES data using CANOES software](https://dss.niagads.org/datasets/ng00176/) This dataset contains Copy Number Variation (CNV) calling from the Whole Exome Sequencing (WES) from multiple distinct Alzheimer Disease (AD) sequencing projects: both discovery and replication ADSP family dataset, ADSP… [Learn more](https://dss.niagads.org/datasets/ng00176/) ## Related Studies - [sa000001 - Alzheimer’s Disease Sequencing Project (ADSP)](https://dss.niagads.org/studies/sa000001/) Background An initiative in response to the National Alzheimer’s Project Act (NAPA) has been working towards new biological insights and cures for Alzheimer’s Disease (AD) since its introduction by NIH… [Learn more](https://dss.niagads.org/studies/sa000001/) - [sa000081 - Extremely Rare CNVs and Alzheimer’s Disease Risk: Analysis of ADSP WES Data](https://dss.niagads.org/studies/sa000081/) The purpose of this study is to find new Alzheimer related variants and genes, by combining exome data from healthy controls and Alzheimer patients from different studies. CNV calling was… [Learn more](https://dss.niagads.org/studies/sa000081/) - [sa000042 - Resolving mutations in challenging genomic regions to test association with disease phenotypes](https://dss.niagads.org/studies/sa000042/) Many regions of the human genome present challenges that prohibit scientists from discovering potential disease causing mutations. We developed methods to characterize mutations in these regions to rescue mutations that… [Learn more](https://dss.niagads.org/studies/sa000042/) ## Related Sample Sets - [snd10000 - ADSP Discovery](https://dss.niagads.org/sample-sets/snd10000/) The initial phase of the ADSP research plan is called the Discovery Phase. Samples were selected from well-characterized study cohorts of individuals with or without an AD diagnosis and the… [Learn more](https://dss.niagads.org/sample-sets/snd10000/) - [snd10074 - Camouflaged Variants](https://dss.niagads.org/sample-sets/snd10074/) Provided here are variant calls in VCF format for 14,526 samples derived from the ADSP whole-exome and whole-genome sequencing dataset (available via DSS: NG00067). [Learn more](https://dss.niagads.org/sample-sets/snd10074/) - [snd10139 - CNV Calling from ADSP Whole-Exome Sequencing (WES) Data](https://dss.niagads.org/sample-sets/snd10139/) This dataset comprises CNV calls from Whole Exome Sequencing (WES) across multiple distinct Alzheimer’s Disease (AD) sequencing projects, including the discovery and replication ADSP family datasets, the ADSP case-control dataset,… [Learn more](https://dss.niagads.org/sample-sets/snd10139/) ```