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Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease
Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer’s disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals h...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314356/ https://www.ncbi.nlm.nih.gov/pubmed/35879306 http://dx.doi.org/10.1038/s41398-022-02055-0 |
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author | Hou, Jiahui Hess, Jonathan L. Armstrong, Nicola Bis, Joshua C. Grenier-Boley, Benjamin Karlsson, Ida K. Leonenko, Ganna Numbers, Katya O’Brien, Eleanor K. Shadrin, Alexey Thalamuthu, Anbupalam Yang, Qiong Andreassen, Ole A. Brodaty, Henry Gatz, Margaret Kochan, Nicole A. Lambert, Jean-Charles Laws, Simon M. Masters, Colin L. Mather, Karen A. Pedersen, Nancy L. Posthuma, Danielle Sachdev, Perminder S. Williams, Julie Fan, Chun Chieh Faraone, Stephen V. Fennema-Notestine, Christine Lin, Shu-Ju Escott-Price, Valentina Holmans, Peter Seshadri, Sudha Tsuang, Ming T. Kremen, William S. Glatt, Stephen J. |
author_facet | Hou, Jiahui Hess, Jonathan L. Armstrong, Nicola Bis, Joshua C. Grenier-Boley, Benjamin Karlsson, Ida K. Leonenko, Ganna Numbers, Katya O’Brien, Eleanor K. Shadrin, Alexey Thalamuthu, Anbupalam Yang, Qiong Andreassen, Ole A. Brodaty, Henry Gatz, Margaret Kochan, Nicole A. Lambert, Jean-Charles Laws, Simon M. Masters, Colin L. Mather, Karen A. Pedersen, Nancy L. Posthuma, Danielle Sachdev, Perminder S. Williams, Julie Fan, Chun Chieh Faraone, Stephen V. Fennema-Notestine, Christine Lin, Shu-Ju Escott-Price, Valentina Holmans, Peter Seshadri, Sudha Tsuang, Ming T. Kremen, William S. Glatt, Stephen J. |
author_sort | Hou, Jiahui |
collection | PubMed |
description | Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer’s disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals having high PRSs for LOAD, and (2) unaffected APOE-ε4 carriers also having high PRSs for LOAD. We used genome-wide association study (GWAS) to contrast “resilient” unaffected individuals at the highest genetic risk for LOAD with LOAD cases at comparable risk. From GWAS results, we constructed polygenic resilience scores to aggregate the addictive contributions of risk-orthogonal common variants that promote resilience to LOAD. Replication of resilience scores was undertaken in eight independent studies. We successfully replicated two polygenic resilience scores that reduce genetic risk penetrance for LOAD. We also showed that polygenic resilience scores positively correlate with polygenic risk scores in unaffected individuals, perhaps aiding in staving off disease. Our findings align with the hypothesis that a combination of risk-independent common variants mediates resilience to LOAD by moderating genetic disease risk. |
format | Online Article Text |
id | pubmed-9314356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93143562022-07-27 Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease Hou, Jiahui Hess, Jonathan L. Armstrong, Nicola Bis, Joshua C. Grenier-Boley, Benjamin Karlsson, Ida K. Leonenko, Ganna Numbers, Katya O’Brien, Eleanor K. Shadrin, Alexey Thalamuthu, Anbupalam Yang, Qiong Andreassen, Ole A. Brodaty, Henry Gatz, Margaret Kochan, Nicole A. Lambert, Jean-Charles Laws, Simon M. Masters, Colin L. Mather, Karen A. Pedersen, Nancy L. Posthuma, Danielle Sachdev, Perminder S. Williams, Julie Fan, Chun Chieh Faraone, Stephen V. Fennema-Notestine, Christine Lin, Shu-Ju Escott-Price, Valentina Holmans, Peter Seshadri, Sudha Tsuang, Ming T. Kremen, William S. Glatt, Stephen J. Transl Psychiatry Article Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer’s disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals having high PRSs for LOAD, and (2) unaffected APOE-ε4 carriers also having high PRSs for LOAD. We used genome-wide association study (GWAS) to contrast “resilient” unaffected individuals at the highest genetic risk for LOAD with LOAD cases at comparable risk. From GWAS results, we constructed polygenic resilience scores to aggregate the addictive contributions of risk-orthogonal common variants that promote resilience to LOAD. Replication of resilience scores was undertaken in eight independent studies. We successfully replicated two polygenic resilience scores that reduce genetic risk penetrance for LOAD. We also showed that polygenic resilience scores positively correlate with polygenic risk scores in unaffected individuals, perhaps aiding in staving off disease. Our findings align with the hypothesis that a combination of risk-independent common variants mediates resilience to LOAD by moderating genetic disease risk. Nature Publishing Group UK 2022-07-25 /pmc/articles/PMC9314356/ /pubmed/35879306 http://dx.doi.org/10.1038/s41398-022-02055-0 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hou, Jiahui Hess, Jonathan L. Armstrong, Nicola Bis, Joshua C. Grenier-Boley, Benjamin Karlsson, Ida K. Leonenko, Ganna Numbers, Katya O’Brien, Eleanor K. Shadrin, Alexey Thalamuthu, Anbupalam Yang, Qiong Andreassen, Ole A. Brodaty, Henry Gatz, Margaret Kochan, Nicole A. Lambert, Jean-Charles Laws, Simon M. Masters, Colin L. Mather, Karen A. Pedersen, Nancy L. Posthuma, Danielle Sachdev, Perminder S. Williams, Julie Fan, Chun Chieh Faraone, Stephen V. Fennema-Notestine, Christine Lin, Shu-Ju Escott-Price, Valentina Holmans, Peter Seshadri, Sudha Tsuang, Ming T. Kremen, William S. Glatt, Stephen J. Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease |
title | Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease |
title_full | Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease |
title_fullStr | Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease |
title_full_unstemmed | Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease |
title_short | Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease |
title_sort | polygenic resilience scores capture protective genetic effects for alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314356/ https://www.ncbi.nlm.nih.gov/pubmed/35879306 http://dx.doi.org/10.1038/s41398-022-02055-0 |
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