Abstract
The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer’s Disease Neuroimaging Initiative (ADNI), contextualize computed scores, and identify potentially confounding genetic risk factors in ADNI. We introduce a streamlined analysis tool and web interface to calculate and contextualize polygenic risk scores across various studies, which we anticipate will facilitate a wider adaptation of polygenic risk scores in future disease research.
Original language | English |
---|---|
Article number | 899 |
Journal | Communications Biology |
Volume | 5 |
Issue number | 1 |
DOIs | |
State | Published - 1 Dec 2022 |
Externally published | Yes |
ASJC Scopus subject areas
- Medicine (miscellaneous)
- General Biochemistry, Genetics and Molecular Biology
- General Agricultural and Biological Sciences
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In: Communications Biology, Vol. 5, No. 1, 899, 01.12.2022.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores
AU - the Alzheimer’s Disease Neuroimaging Initiative
AU - Cornell University Investigators
AU - Dartmouth-Hitchcock Medical Center Investigators
AU - Hartford Hospital, Olin Neuropsychiatry Research Center Investigators
AU - Neurological Care of Central New York Investigators
AU - Butler Hospital Memory and Aging Program Investigators
AU - Long Beach Veterans Affairs Neuropsychiatric Research Program Investigators
AU - Vanderbilt University Medical Center Investigators
AU - Barrow Neurological Institute Investigators
AU - Houston Methodist Neurological Institute Investigators
AU - Roper St. Francis Healthcare Investigators
AU - Cleveland Clinic Lou Ruvo Center for Brain Health Investigators
AU - Rhode Island Hospital Investigators
AU - Wake Forest University Health Sciences Investigators
AU - University of Iowa College of Medicine Investigators
AU - Albany Medical College Investigators
AU - Ohio State University Investigators
AU - Banner Alzheimer’s Institute Investigators
AU - University of Wisconsin Investigators
AU - Parkwood Institute Investigators
AU - Dent Neurologic Institute Investigators
AU - University of California, Davis-Sacramento Investigators
AU - Case Western Reserve University Investigators
AU - Howard University Investigators
AU - Boston University Investigators
AU - Banner Sun Health Research Institute Investigators
AU - Stanford University Investigators
AU - Brigham and Women’s Hospital Investigators
AU - Georgetown University Medical Center Investigators
AU - University of California, San Francisco Investigators
AU - Nathan Kline Institute Investigators
AU - Northwestern University Investigators
AU - St. Joseph’s Health Care Investigators
AU - University of British Columbia Clinic for Alzheimer’s Disease and Related Disorders Investigators
AU - Sunnybrook Health Sciences, Ontario Investigators
AU - McGill University, Montreal-Jewish General Hospital Investigators
AU - Yale University School of Medicine Investigators
AU - Indiana University Investigators
AU - Mayo Clinic, Jacksonville Investigators
AU - University of California, Los Angeles Investigators
AU - University of Kansas Medical Center Investigators
AU - Emory University Investigators
AU - University of Texas Southwestern Medical School Investigators
AU - University of California Irvine Institute for Memory Impairments and Neurological Disorders Investigators
AU - University of Rochester Medical Center Investigators
AU - University of Pittsburgh Investigators
AU - University of Kentucky Investigators
AU - University of Pennsylvania Investigators
AU - Duke University Medical Center Investigators
AU - New York University Investigators
AU - University of South Florida: USF Health Byrd Alzheimer’s Institute Investigators
AU - Johns Hopkins University Investigators
AU - Wien Center Investigators
AU - Rush University Medical Center Investigators
AU - Mount Sinai School of Medicine Investigators
AU - University of Alabama, Birmingham Investigators
AU - Washington University in St. Louis Investigators
AU - Columbia University Medical Center Investigators
AU - Baylor College of Medicine Investigators
AU - Mayo Clinic, Rochester Investigators
AU - University of Michigan Investigators
AU - University of California, San Diego Investigators
AU - University of Southern California Investigators
AU - Oregon Health & Science University Investigators
AU - National Institute on Aging
AU - Initial Concept Planning and Development
AU - Genetics Core Leaders and Key Personnel
AU - Informatics Core Leaders and Key Personnel
AU - Biomarkers Core Leaders and Key Personnel
AU - Neuropathology Core Leaders and Key Personnel
AU - PET Core Leaders and Key Personnel
AU - MRI Core Leaders and Key Personnel
AU - Biostatistics Core Leaders and Key Personnel
AU - Clinical Core Leaders and Key Personnel
AU - Resource Allocation Review Committee
AU - Data and Publications Committee
AU - Administrative Core - Northern California Institute for Research & Education (NCIRE / The Veterans Health Research Institute)
AU - ADNI 3 Private Partner Scientific Board (PPSB)
AU - ADNI External Advisory Board (ESAB)
AU - Executive Committee
AU - ATRI PI and Director of Coordinating Center Clinical Core
AU - Principal Investigator
AU - Page, Madeline L.
AU - Vance, Elizabeth L.
AU - Cloward, Matthew E.
AU - Ringger, Ed
AU - Dayton, Louisa
AU - Ebbert, Mark T.W.
AU - Ravdin, L.
AU - Lin, M.
AU - Lee, A.
AU - Chiang, G.
AU - Relkin, N.
AU - Santulli, R. B.
AU - Hynes, M. L.
AU - Seltzer, M.
AU - Flashman, L. A.
AU - Anderson, K.
AU - Blank, K.
AU - Perlson, G. D.
AU - Kittur, S.
AU - Correia, S.
AU - Malloy, P.
AU - Salloway, S.
AU - Potkin, S.
AU - Newhouse, P.
AU - Sabbagh, M.
AU - Garcia, A.
AU - Shi, J.
AU - Masdeu, J.
AU - Williams, A.
AU - Mintzer, J.
AU - O’Connell, A.
AU - Mintz, A.
AU - Munic, D.
AU - Bernick, C.
AU - Ritter, A.
AU - Daiello, L. A.
AU - Tremont, G.
AU - Drake, J. D.
AU - Ott, B. R.
AU - Sink, K. M.
AU - Yang, M.
AU - Cleveland, J.
AU - Craft, S.
AU - Williamson, J. D.
AU - Schultz, S. K.
AU - Nam, K. W.
AU - Shim, H.
AU - Koleva, H.
AU - Rachinsky, I.
AU - Greenberg, J.
N1 - Publisher Copyright: © The Author(s) 2022.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer’s Disease Neuroimaging Initiative (ADNI), contextualize computed scores, and identify potentially confounding genetic risk factors in ADNI. We introduce a streamlined analysis tool and web interface to calculate and contextualize polygenic risk scores across various studies, which we anticipate will facilitate a wider adaptation of polygenic risk scores in future disease research.
AB - The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer’s Disease Neuroimaging Initiative (ADNI), contextualize computed scores, and identify potentially confounding genetic risk factors in ADNI. We introduce a streamlined analysis tool and web interface to calculate and contextualize polygenic risk scores across various studies, which we anticipate will facilitate a wider adaptation of polygenic risk scores in future disease research.
UR - http://www.scopus.com/inward/record.url?scp=85137169486&partnerID=8YFLogxK
U2 - 10.1038/s42003-022-03795-x
DO - 10.1038/s42003-022-03795-x
M3 - Article
C2 - 36056235
AN - SCOPUS:85137169486
SN - 2399-3642
VL - 5
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 899
ER -