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Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks

To facilitate scientific collaboration on polygenic risk scores (PRSs) research, we created an extensive PRS online repository for 35 common cancer traits integrating freely available genome-wide association studies (GWASs) summary statistics from three sources: published GWASs, the NHGRI-EBI GWAS C...

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Autores principales: Fritsche, Lars G., Patil, Snehal, Beesley, Lauren J., VandeHaar, Peter, Salvatore, Maxwell, Ma, Ying, Peng, Robert B., Taliun, Daniel, Zhou, Xiang, Mukherjee, Bhramar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675001/
https://www.ncbi.nlm.nih.gov/pubmed/32991828
http://dx.doi.org/10.1016/j.ajhg.2020.08.025
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author Fritsche, Lars G.
Patil, Snehal
Beesley, Lauren J.
VandeHaar, Peter
Salvatore, Maxwell
Ma, Ying
Peng, Robert B.
Taliun, Daniel
Zhou, Xiang
Mukherjee, Bhramar
author_facet Fritsche, Lars G.
Patil, Snehal
Beesley, Lauren J.
VandeHaar, Peter
Salvatore, Maxwell
Ma, Ying
Peng, Robert B.
Taliun, Daniel
Zhou, Xiang
Mukherjee, Bhramar
author_sort Fritsche, Lars G.
collection PubMed
description To facilitate scientific collaboration on polygenic risk scores (PRSs) research, we created an extensive PRS online repository for 35 common cancer traits integrating freely available genome-wide association studies (GWASs) summary statistics from three sources: published GWASs, the NHGRI-EBI GWAS Catalog, and UK Biobank-based GWASs. Our framework condenses these summary statistics into PRSs using various approaches such as linkage disequilibrium pruning/p value thresholding (fixed or data-adaptively optimized thresholds) and penalized, genome-wide effect size weighting. We evaluated the PRSs in two biobanks: the Michigan Genomics Initiative (MGI), a longitudinal biorepository effort at Michigan Medicine, and the population-based UK Biobank (UKB). For each PRS construct, we provide measures on predictive performance and discrimination. Besides PRS evaluation, the Cancer-PRSweb platform features construct downloads and phenome-wide PRS association study results (PRS-PheWAS) for predictive PRSs. We expect this integrated platform to accelerate PRS-related cancer research.
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spelling pubmed-76750012021-05-05 Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks Fritsche, Lars G. Patil, Snehal Beesley, Lauren J. VandeHaar, Peter Salvatore, Maxwell Ma, Ying Peng, Robert B. Taliun, Daniel Zhou, Xiang Mukherjee, Bhramar Am J Hum Genet Article To facilitate scientific collaboration on polygenic risk scores (PRSs) research, we created an extensive PRS online repository for 35 common cancer traits integrating freely available genome-wide association studies (GWASs) summary statistics from three sources: published GWASs, the NHGRI-EBI GWAS Catalog, and UK Biobank-based GWASs. Our framework condenses these summary statistics into PRSs using various approaches such as linkage disequilibrium pruning/p value thresholding (fixed or data-adaptively optimized thresholds) and penalized, genome-wide effect size weighting. We evaluated the PRSs in two biobanks: the Michigan Genomics Initiative (MGI), a longitudinal biorepository effort at Michigan Medicine, and the population-based UK Biobank (UKB). For each PRS construct, we provide measures on predictive performance and discrimination. Besides PRS evaluation, the Cancer-PRSweb platform features construct downloads and phenome-wide PRS association study results (PRS-PheWAS) for predictive PRSs. We expect this integrated platform to accelerate PRS-related cancer research. Elsevier 2020-11-05 2020-09-28 /pmc/articles/PMC7675001/ /pubmed/32991828 http://dx.doi.org/10.1016/j.ajhg.2020.08.025 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Fritsche, Lars G.
Patil, Snehal
Beesley, Lauren J.
VandeHaar, Peter
Salvatore, Maxwell
Ma, Ying
Peng, Robert B.
Taliun, Daniel
Zhou, Xiang
Mukherjee, Bhramar
Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
title Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
title_full Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
title_fullStr Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
title_full_unstemmed Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
title_short Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
title_sort cancer prsweb: an online repository with polygenic risk scores for major cancer traits and their evaluation in two independent biobanks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675001/
https://www.ncbi.nlm.nih.gov/pubmed/32991828
http://dx.doi.org/10.1016/j.ajhg.2020.08.025
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