--- title: "Multi-Institutional Research in Alzheimer’s Genetic Epidemiology (MIRAGE)" id: "1524" type: "cohort" slug: "multi-institutional-research-in-alzheimers-genetic-epidemiology-mirage" published_at: "2020-02-19T15:17:13+00:00" modified_at: "2024-09-18T17:13:03+00:00" url: "https://dss.niagads.org/cohorts/multi-institutional-research-in-alzheimers-genetic-epidemiology-mirage/" markdown_url: "https://dss.niagads.org/cohorts/multi-institutional-research-in-alzheimers-genetic-epidemiology-mirage.md" excerpt: "The Multi-Institutional Research in Alzheimer’s Genetic Epidemiology (MIRAGE) Study is a family study funded by the NIA that began in 1991. The goal of MIRAGE is to identify genetic and non-genetic risk factors for Alzheimer’s disease. Approximately 2,500 members of..." taxonomy_cohort_categories: - "ADSP" taxonomy_cohort_countries: - "Canada" - "Germany" - "Greece" - "United States of America" --- Website: [https://clinicaltrials.gov/ct2/show/NCT00239759](https://clinicaltrials.gov/ct2/show/NCT00239759) ## Description The Multi-Institutional Research in Alzheimer’s Genetic Epidemiology (MIRAGE) Study is a family study funded by the NIA that began in 1991. The goal of MIRAGE is to identify genetic and non-genetic risk factors for Alzheimer’s disease. Approximately 2,500 members of 1,000 Caucasian and African American families were recruited and blood was collected for DNA and cell lines. These families included both subjects who are cognitively normal and others meeting NINCDS/ADRDA criteria for probable or definite AD. Subjects were ascertained at 17 centers in the US, Canada, Germany and Greece. ## 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 - [sa000003 - Alzheimer’s Disease Genetics Consortium (ADGC)](https://dss.niagads.org/studies/sa000003/) The ADGC is a large U.S. based consortium formed to collaboratively use the collective resources of the AD research community to resolve Alzheimer’s disease (AD) genetics. Working with the National… [Learn more](https://dss.niagads.org/studies/sa000003/) - [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/) - [snd10003 - ADGC AA WES](https://dss.niagads.org/sample-sets/snd10003/) ADGC African American samples were sequenced at University of Miami on the HiSeq3000 machine. 3226 samples were sequenced using the Agilent WES v6 target capture kit. BAM files from hg37… [Learn more](https://dss.niagads.org/sample-sets/snd10003/) - [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/) ```