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Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores
Systolic and diastolic blood pressure (S/DBP) are highly correlated modifiable risk factors for cardiovascular disease (CVD). We report here a bidirectional Mendelian Randomization (MR) and horizontal pleiotropy analysis of S/DBP summary statistics from the UK Biobank (UKB)‐International Consortium...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863647/ https://www.ncbi.nlm.nih.gov/pubmed/34989438 http://dx.doi.org/10.1002/gepi.22440 |
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author | Zhu, Xiaofeng Zhu, Luke Wang, Heming Cooper, Richard S. Chakravarti, Aravinda |
author_facet | Zhu, Xiaofeng Zhu, Luke Wang, Heming Cooper, Richard S. Chakravarti, Aravinda |
author_sort | Zhu, Xiaofeng |
collection | PubMed |
description | Systolic and diastolic blood pressure (S/DBP) are highly correlated modifiable risk factors for cardiovascular disease (CVD). We report here a bidirectional Mendelian Randomization (MR) and horizontal pleiotropy analysis of S/DBP summary statistics from the UK Biobank (UKB)‐International Consortium for Blood Pressure (ICBP) (UKB‐ICBP) BP genome‐wide association study and construct a composite genetic risk score (GRS) by including pleiotropic variants. The composite GRS captures greater (1.11–3.26 fold) heritability for BP traits and increases (1.09‐ and 2.01‐fold) Nagelkerke's R (2) for hypertension and CVD. We replicated 118 novel BP horizontal pleiotropic variants including 18 novel BP loci using summary statistics from the Million Veteran Program (MVP) study. An additional 219 novel BP signals and 40 novel loci were identified after a meta‐analysis of the UKB‐ICBP and MVP summary statistics but without further independent replication. Our study provides further insight into BP regulation and provides a novel way to construct a GRS by including pleiotropic variants for other complex diseases. |
format | Online Article Text |
id | pubmed-8863647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88636472022-10-14 Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores Zhu, Xiaofeng Zhu, Luke Wang, Heming Cooper, Richard S. Chakravarti, Aravinda Genet Epidemiol Research Articles Systolic and diastolic blood pressure (S/DBP) are highly correlated modifiable risk factors for cardiovascular disease (CVD). We report here a bidirectional Mendelian Randomization (MR) and horizontal pleiotropy analysis of S/DBP summary statistics from the UK Biobank (UKB)‐International Consortium for Blood Pressure (ICBP) (UKB‐ICBP) BP genome‐wide association study and construct a composite genetic risk score (GRS) by including pleiotropic variants. The composite GRS captures greater (1.11–3.26 fold) heritability for BP traits and increases (1.09‐ and 2.01‐fold) Nagelkerke's R (2) for hypertension and CVD. We replicated 118 novel BP horizontal pleiotropic variants including 18 novel BP loci using summary statistics from the Million Veteran Program (MVP) study. An additional 219 novel BP signals and 40 novel loci were identified after a meta‐analysis of the UKB‐ICBP and MVP summary statistics but without further independent replication. Our study provides further insight into BP regulation and provides a novel way to construct a GRS by including pleiotropic variants for other complex diseases. John Wiley and Sons Inc. 2022-01-06 2022-03 /pmc/articles/PMC8863647/ /pubmed/34989438 http://dx.doi.org/10.1002/gepi.22440 Text en © 2022 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Zhu, Xiaofeng Zhu, Luke Wang, Heming Cooper, Richard S. Chakravarti, Aravinda Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
title | Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
title_full | Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
title_fullStr | Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
title_full_unstemmed | Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
title_short | Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
title_sort | genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863647/ https://www.ncbi.nlm.nih.gov/pubmed/34989438 http://dx.doi.org/10.1002/gepi.22440 |
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