# Harmonization of Additional Data Sets for the Alzheimer's Disease Sequencing Project (ADSP) Follow-Up Study (FUS)

> **NIH NIH U01** · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · 2020 · $370,041

## Abstract

ABSTRACT
Alzheimer disease (AD) is the leading cause of dementia in older adults and occurs in all ethnic and racial groups.
A multitude of studies have identified multiple AD associated genes and loci, but a large portion of the genetic
contribution to AD remain unknown. The Alzheimer Disease Sequencing Project (ADSP) is using large-scale
sequencing efforts to increase our knowledge about the genetic variation that influences AD, particularly rare
genetic variants that enhance AD risk or protect against AD. A major initiative within the ADSP is the Follow Up
Study (ADSP-FUS), an expansion of gene discovery efforts to include diverse and unique population. Over the
past 12 months, the scope of the ADSP-FUS has expanded to include a number of new cohorts for sequencing.
The inclusion of these new cohorts, which have a broad span of clinical-phenotype information, significantly
enriches the value of the ADSP in achieving its goal of increasing knowledge of genetic variation in AD across
different populations.
This supplement is designed to complete pre-statistical harmonization activities in six new cohorts that will be
included in the larger harmonization of clinical-phenotype data in all of the ADSP datasets. The final ADSP
harmonized dataset, which includes all cohorts (and future cohorts) will create an invaluable, much needed,
legacy resource for the NIA. We will perform comprehensive pre-harmonization activities for the six new FUS
cohorts (Age, Gene/Environment Susceptibility (AGES) Study; Longitudinal Study of Aging in India-Diagnostic
Assessment of Dementia (LASI-DAD); Gwangju Alzheimer and Related Dementias (GARD) Study; Long Life
Family Study (LLFS); Aspirin in Reducing Events in the Elderly (ASPREE) Trial Cohort; Iberian Peninsula Cohort)
that are not currently funded through other sources. Given that these cohorts vary in their focus (i.e., not all are
dementia cohorts) there is a wide span of clinical-phenotype information which makes harmonization
challenging. Creating a pre-statistical harmonization workflow in which these data are prepared and used by the
ADSP-Harmonization Consortium will expedite the delivery of harmonized clinical-phenotype data to the larger
AD community. To complete the pre-statistical harmonization efforts, we will: (a) Identify, collect and organize
clinical-phenotype data from the new cohorts, (b) Review and document procedures for data collection for all
relevant clinical-phenotype variables, and (c) Perform preliminary quality control analyses for cohort specific
data.
The successful completion of the proposed pre-statistical harmonization will yield harmonization ready data for
the six cohorts that will be utilized in the statistical harmonization of all ADSP datasets. Just as important, this
supplement will establish an infrastructure for implementing pre-statistical harmonization that will be integrated
into the ADSP-Harmonization Consortium. In the long run, by enhancing harmonization of the ADSP coho...

## Key facts

- **NIH application ID:** 10184590
- **Project number:** 3U01AG062943-02S1
- **Recipient organization:** UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
- **Principal Investigator:** Margaret A. Pericak-Vance
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $370,041
- **Award type:** 3
- **Project period:** 2019-09-01 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10184590

## Citation

> US National Institutes of Health, RePORTER application 10184590, Harmonization of Additional Data Sets for the Alzheimer's Disease Sequencing Project (ADSP) Follow-Up Study (FUS) (3U01AG062943-02S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10184590. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*