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This dataset includes individual level data from Singapore-Longitudinal study of Vascular Cognitive Impairment and Dementia. This includes both genotyping (raw and imputed) on the Infinium Global Screening Array-24 Kit as well as phenotypic data including age, sex, and overall cognitive diagnosis. There were total of 390 subjects that were enrolled in the study and 385 subjects passed QC filtering.

Participants were recruited from memory clinics in 2 study sites in Singapore (National University Hospital and Saint Luke’s Hospital). Four diagnostic categories at baseline were eligible for inclusion in this study:(1) No cognitive impairment (NCI): individuals who had no objective cognitive impairment on neuropsychological tests, or functional loss, (2) Cognitive impairment no dementia (CIND) was diagnosed in patients who were impaired in at least one cognitive domain on a neuropsychological test battery without loss of daily functions. (3) Vascular CIND was defined as a history of ischemic stroke within the past 6–24 months and neuroimaging evidence of cerebral infarction, with objective evidence of neuropsychological deficits. (4) Dementia was diagnosed according to Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV) criteria.

Sample Summary per Data Type

Sample SetAccessionData TypeNumber of Samples
Singapore GWASsnd10047Genotyping SNP Array390

Available Filesets

NameAccessionLatest ReleaseDescription
Singapore GWAS: Genotype, phenotype and Imputation datafsa000064NG00146.v1Genotype, Phenotype and Imputation data

View the File Manifest for a full list of files released in this dataset.

This dataset contains 390 subjects that were genotyped using the Infinium Global Screening Array-24, resulting in a total of 381,787 genomic SNPs. Of these, 385 subjects passed QC filtering. Additionally, the imputed genotypes are from a 1000G reference panel.

Sample SetAccession NumberNumber of subjects
Singapore GWASsnd10047390
Consent LevelNumber of Subjects

Visit the Data Use Limitations page for definitions of the consent levels above.

Acknowledgment statement for any data distributed by NIAGADS:

Data for this study were prepared, archived, and distributed by the National Institute on Aging Alzheimer’s Disease Data Storage Site (NIAGADS) at the University of Pennsylvania (U24-AG041689), funded by the National Institute on Aging.

Use the study-specific acknowledgement statements below (as applicable):

For investigators using any data from this dataset:

Please cite/reference the use of NIAGADS data by including the accession NG00146.

For investigators using Singapore Longitudinal study of Vascular Cognitive Impairment and Dementia (sa000037) data:

National Medical Research Council center grants under Award numbers ]NMRC/NUHCS/2010] and [NMRC/NUHS/2010] [R-184-006-184-511]. NIHAG052409, titled “ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model Systems”.

van Veluw SJ., et al. Cortical microinfarcts on 3T MRI: Clinical correlates in memory-clinic patients. Alzheimers Dement. 2015 Dec;11(12):1500-1509. doi: 10.1016/j.jalz.2014.12.010. Epub 2015 May 5. Pubmed Link

Hilal S., et al. Cortical cerebral microinfarcts predict cognitive decline in memory clinic patients. J Cereb Blood Flow Metab. 2020 Jan;40(1):44-53. doi: 10.1177/0271678X19835565. Epub 2019 Mar 19. Pubmed Link

Hilal S., et al. Association Between Subclinical Cardiac Biomarkers and Clinically Manifest Cardiac Diseases With Cortical Cerebral Microinfarcts. JAMA Neurol. 2017 Apr 1;74(4):403-410. doi: 10.1001/jamaneurol.2016.5335.Pubmed Link