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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7675001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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