---
title: "Korean Brain Aging Study for the Early Diagnosis and Prediction of AD (KBASE)"
id: "4268"
type: "cohort"
slug: "korean-brain-aging-study-for-the-early-diagnosis-and-prediction-of-ad-kbase"
published_at: "2022-12-13T18:55:38+00:00"
modified_at: "2024-11-27T16:13:38+00:00"
url: "https://dss.niagads.org/cohorts/korean-brain-aging-study-for-the-early-diagnosis-and-prediction-of-ad-kbase/"
markdown_url: "https://dss.niagads.org/cohorts/korean-brain-aging-study-for-the-early-diagnosis-and-prediction-of-ad-kbase.md"
excerpt: "Korean Brain Aging Study for the Early Diagnosis and Prediction of AD (KBASE) is a prospective cohort study launched at Seoul National University (SNU) in 2014 using a similar design and methods as the North American Alzheimer’s Disease Neuroimaging Initiative..."
taxonomy_cohort_categories:
  - "ADSP"
taxonomy_cohort_countries:
  - "South Korea"
---

## Description

**Korean Brain Aging Study for the Early Diagnosis and Prediction of AD (KBASE)** is a prospective cohort study launched at Seoul National University (SNU) in 2014 using a similar design and methods as the North American Alzheimer’s Disease Neuroimaging Initiative (ADNI). The KBASE cohort consists of well-characterized participants including cognitively normal (CN) controls with a wide age range (20 to 90 years) and older adults with mild cognitive impairment (MCI) or AD dementia (AD). KBASE included longitudinal collection of clinical, cognitive and lifestyle data, multimodal MRI and PET (amyloid, tau and FDG) neuroimaging, and bio-specimens in Korea during the first phase (“KBASE1”). KBASE2 represents a collaboration between the ADSP, Indiana University, the KBASE team at SNU, USC/LONI and UPENN. Over 1000 whole genome sequences (WGS) of Korean participants will be contributed to the ADSP, and the extensive ADSP multi-ethnic data set will be analyzed. KBASE2 will expand the cohort and continue longitudinal data and sample collection and provide WGS and data harmonization and sharing, analyze longitudinal amyloid, tau, neurodegeneration and vascular (A/T/N/V) imaging biomarkers and analyze multi-omics data for association with A/T/N/V biomarkers for AD to identify dysregulated gene modules and pathways.

## 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/)

## 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/)

## Related Sample Sets

- [snd10094 - ADSP-FUS3 WGS](https://dss.niagads.org/sample-sets/snd10094/) The ADSP-FUS is a National Institute on Aging (NIA) initiative focused on identifying genetic risk and protective variants for late-onset Alzheimer Disease (LOAD). A concern in AD genetic studies is… [Learn more](https://dss.niagads.org/sample-sets/snd10094/)

 ```