PGS Publication: PGP000015

Publication Information (EuropePMC)
Title Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer's Disease.
PubMed ID 27340842(Europe PMC)
doi 10.3233/JAD-150749
Publication Date June 1, 2016
Journal J Alzheimers Dis
Author(s) Chouraki V, Reitz C, Maury F, Bis JC, Bellenguez C, Yu L, Jakobsdottir J, Mukherjee S, Adams HH, Choi SH, Larson EB, Fitzpatrick A, Uitterlinden AG, de Jager PL, Hofman A, Gudnason V, Vardarajan B, Ibrahim-Verbaas C, van der Lee SJ, Lopez O, Dartigues JF, Berr C, Amouyel P, Bennett DA, van Duijn C, DeStefano AL, Launer LJ, Ikram MA, Crane PK, Lambert JC, Mayeux R, Seshadri S, International Genomics of Alzheimer’s Project.
Released in PGS: Oct. 14, 2019

Associated Polygenic Score(s)

PGS Developed By This Publication

Polygenic Score (PGS) ID PGS Name PGS Publication (PGP) ID Reported Trait Mapped Trait(s) (Ontology) Number of Variants PGS Scoring File (FTP Link)
PGS000025 GRS PGP000015
Chouraki V et al. J Alzheimers Dis (2016)
Alzheimer's Disease Alzheimer's disease 19 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000025/ScoringFiles/PGS000025.txt.gz

PGS Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance Metric ID
(PPM ID)
Evaluated Score PGS Sample Set ID
(PSS ID)
Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in the Model PGS Performance: Other Relevant Information
PPM000052 PGS000025 (GRS) PSS000035 PGP000015
Chouraki V et al. (2016)
Reported Trait: Incident Alzheimer's disease in APOE Ɛ4 non-carriers HR: 1.13[1.08, 1.18] ΔC-index between models with and without GRS: 0.0018[-0.0003, 0.0039] age at baseline, sex, education level HRs are derived from a meta-analysis of studies (adjusted for study center, and participant relatedness)
PPM000051 PGS000025 (GRS) PSS000034 PGP000015
Chouraki V et al. (2016)
Reported Trait: Incident Alzheimer's disease in APOE Ɛ4 carriers HR: 1.24[1.15, 1.34] ΔC-index between models with and without GRS: 0.0112[0.0015, 0.0208] age at baseline, sex, education level HRs are derived from a meta-analysis of studies (adjusted for study center, and participant relatedness)
PPM000050 PGS000025 (GRS) PSS000033 PGP000015
Chouraki V et al. (2016)
Reported Trait: Incident Alzheimer's disease HR: 1.17[1.13, 1.21] ΔC-index between models with and without GRS: 0.0043[0.0019, 0.0067] age at baseline, sex, education level, APOE Ɛ4 status HRs are derived from a meta-analysis of studies (adjusted for study center, and participant relatedness)

Evaluated Samples

PGS Sample Set ID
(PSS ID)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000033 Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria.
[
  • 2,782 cases
]
European 8 cohorts
  • 3C
  • ,ACT
  • ,AGES
  • ,CHS
  • ,FHS
  • ,ROSMAP
  • ,RS
  • ,WHICAP
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered
PSS000034 Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria. 4,353 individuals European 8 cohorts
  • 3C
  • ,ACT
  • ,AGES
  • ,CHS
  • ,FHS
  • ,ROSMAP
  • ,RS
  • ,WHICAP
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered
PSS000035 Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria. 15,334 individuals European 8 cohorts
  • 3C
  • ,ACT
  • ,AGES
  • ,CHS
  • ,FHS
  • ,ROSMAP
  • ,RS
  • ,WHICAP
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered