Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
Keaton, Jacob M; Kamali, Zoha; Xie, Tian; Vaez, Ahmad; Williams, Ariel; Goleva, Slavina B; Ani, Alireza; Evangelou, Evangelos; Hellwege, Jacklyn N; Yengo, Loic; Young, William J; Traylor, Matthew; Giri, Ayush; Zheng, Zhili; Zeng, Jian; Chasman, Daniel I; Morris, Andrew P; Caulfield, Mark J; Hwang, Shih-Jen; Kooner, Jaspal S; Conen, David; Attia, John R; Morrison, Alanna C; Loos, Ruth J F; Kristiansson, Kati; Schmidt, Reinhold; Hicks, Andrew A; Pramstaller, Peter P; Nelson, Christopher P; Samani, Nilesh J; Risch, Lorenz; Gyllensten, Ulf; Melander, Olle; Riese, Harriette; Wilson, James F; Campbell, Harry; Rich, Stephen S; Psaty, Bruce M; Lu, Yingchang; Rotter, Jerome I; Guo, Xiuqing; Rice, Kenneth M; Vollenweider, Peter; Sundström, Johan; Langenberg, Claudia; Tobin, Martin D; Giedraitis, Vilmantas; Luan, Jian'an; Tuomilehto, Jaakko; Kutalik, Zoltan; Ripatti, Samuli; Salomaa, Veikko; Girotto, Giorgia; Trompet, Stella; Jukema, J Wouter; van der Harst, Pim; Ridker, Paul M; Giulianini, Franco; Vitart, Veronique; Goel, Anuj; Watkins, Hugh; Harris, Sarah E; Deary, Ian J; van der Most, Peter J; Oldehinkel, Albertine J; Keavney, Bernard D; Hayward, Caroline; Campbell, Archie; Boehnke, Michael; Scott, Laura J; Boutin, Thibaud; Mamasoula, Chrysovalanto; Järvelin, Marjo-Riitta; Peters, Annette; Gieger, Christian; Lakatta, Edward G; Cucca, Francesco; Hui, Jennie; Knekt, Paul; Enroth, Stefan; De Borst, Martin H; Polašek, Ozren; Concas, Maria Pina; Catamo, Eulalia; Cocca, Massimiliano; Li-Gao, Ruifang; Hofer, Edith; Schmidt, Helena; Spedicati, Beatrice; Waldenberger, Melanie; Strachan, David P; Laan, Maris; Teumer, Alexander; Dörr, Marcus; Gudnason, Vilmundur; Cook, James P; Ruggiero, Daniela; Kolcic, Ivana; Boerwinkle, Eric; Traglia, Michela; Lehtimäki, Terho; Raitakari, Olli T; Johnson, Andrew D; Newton-Cheh, Christopher; Brown, Morris J; Dominiczak, Anna F; Sever, Peter J; Poulter, Neil; Chambers, John C; Elosua, Roberto; Siscovick, David; Esko, Tõnu; Metspalu, Andres; Strawbridge, Rona J; Laakso, Markku; Hamsten, Anders; Hottenga, Jouke-Jan; de Geus, Eco; Morris, Andrew D; Palmer, Colin N A; Nolte, Ilja M; Milaneschi, Yuri; Marten, Jonathan; Wright, Alan; Zeggini, Eleftheria; Howson, Joanna M M; O'Donnell, Christopher J; Spector, Tim; Nalls, Mike A; Simonsick, Eleanor M; Liu, Yongmei; van Duijn, Cornelia M; Butterworth, Adam S; Danesh, John N; Menni, Cristina; Wareham, Nicholas J; Khaw, Kay-Tee; Sun, Yan V; Wilson, Peter W F; Cho, Kelly; Visscher, Peter M; Denny, Joshua C; Million Veteran Program; Lifelines Cohort Study; CHARGE consortium; ICBP Consortium; Levy, Daniel; Edwards, Todd L; Munroe, Patricia B; Snieder, Harold; Warren, Helen R (2024-04-30)
Keaton, Jacob M
Kamali, Zoha
Xie, Tian
Vaez, Ahmad
Williams, Ariel
Goleva, Slavina B
Ani, Alireza
Evangelou, Evangelos
Hellwege, Jacklyn N
Yengo, Loic
Young, William J
Traylor, Matthew
Giri, Ayush
Zheng, Zhili
Zeng, Jian
Chasman, Daniel I
Morris, Andrew P
Caulfield, Mark J
Hwang, Shih-Jen
Kooner, Jaspal S
Conen, David
Attia, John R
Morrison, Alanna C
Loos, Ruth J F
Kristiansson, Kati
Schmidt, Reinhold
Hicks, Andrew A
Pramstaller, Peter P
Nelson, Christopher P
Samani, Nilesh J
Risch, Lorenz
Gyllensten, Ulf
Melander, Olle
Riese, Harriette
Wilson, James F
Campbell, Harry
Rich, Stephen S
Psaty, Bruce M
Lu, Yingchang
Rotter, Jerome I
Guo, Xiuqing
Rice, Kenneth M
Vollenweider, Peter
Sundström, Johan
Langenberg, Claudia
Tobin, Martin D
Giedraitis, Vilmantas
Luan, Jian'an
Tuomilehto, Jaakko
Kutalik, Zoltan
Ripatti, Samuli
Salomaa, Veikko
Girotto, Giorgia
Trompet, Stella
Jukema, J Wouter
van der Harst, Pim
Ridker, Paul M
Giulianini, Franco
Vitart, Veronique
Goel, Anuj
Watkins, Hugh
Harris, Sarah E
Deary, Ian J
van der Most, Peter J
Oldehinkel, Albertine J
Keavney, Bernard D
Hayward, Caroline
Campbell, Archie
Boehnke, Michael
Scott, Laura J
Boutin, Thibaud
Mamasoula, Chrysovalanto
Järvelin, Marjo-Riitta
Peters, Annette
Gieger, Christian
Lakatta, Edward G
Cucca, Francesco
Hui, Jennie
Knekt, Paul
Enroth, Stefan
De Borst, Martin H
Polašek, Ozren
Concas, Maria Pina
Catamo, Eulalia
Cocca, Massimiliano
Li-Gao, Ruifang
Hofer, Edith
Schmidt, Helena
Spedicati, Beatrice
Waldenberger, Melanie
Strachan, David P
Laan, Maris
Teumer, Alexander
Dörr, Marcus
Gudnason, Vilmundur
Cook, James P
Ruggiero, Daniela
Kolcic, Ivana
Boerwinkle, Eric
Traglia, Michela
Lehtimäki, Terho
Raitakari, Olli T
Johnson, Andrew D
Newton-Cheh, Christopher
Brown, Morris J
Dominiczak, Anna F
Sever, Peter J
Poulter, Neil
Chambers, John C
Elosua, Roberto
Siscovick, David
Esko, Tõnu
Metspalu, Andres
Strawbridge, Rona J
Laakso, Markku
Hamsten, Anders
Hottenga, Jouke-Jan
de Geus, Eco
Morris, Andrew D
Palmer, Colin N A
Nolte, Ilja M
Milaneschi, Yuri
Marten, Jonathan
Wright, Alan
Zeggini, Eleftheria
Howson, Joanna M M
O'Donnell, Christopher J
Spector, Tim
Nalls, Mike A
Simonsick, Eleanor M
Liu, Yongmei
van Duijn, Cornelia M
Butterworth, Adam S
Danesh, John N
Menni, Cristina
Wareham, Nicholas J
Khaw, Kay-Tee
Sun, Yan V
Wilson, Peter W F
Cho, Kelly
Visscher, Peter M
Denny, Joshua C
Million Veteran Program
Lifelines Cohort Study
CHARGE consortium
ICBP Consortium
Levy, Daniel
Edwards, Todd L
Munroe, Patricia B
Snieder, Harold
Warren, Helen R
Springer
30.04.2024
Keaton, J.M., Kamali, Z., Xie, T. et al. Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits. Nat Genet 56, 778–791 (2024). https://doi.org/10.1038/s41588-024-01714-w
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© The Author(s) 2024. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
https://creativecommons.org/licenses/by/4.0/
© The Author(s) 2024. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405223848
https://urn.fi/URN:NBN:fi:oulu-202405223848
Tiivistelmä
Abstract
Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10−8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5–18.2 mmHg, P = 2.22 × 10−126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54–9.70; P = 4.13 × 10−44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781–0.801) to 0.826 (95% CI, 0.817–0.836, ∆AUROC, 0.035, P = 1.98 × 10−34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research.
Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10−8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5–18.2 mmHg, P = 2.22 × 10−126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54–9.70; P = 4.13 × 10−44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781–0.801) to 0.826 (95% CI, 0.817–0.836, ∆AUROC, 0.035, P = 1.98 × 10−34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research.
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Repositioning of the global epicentre of non-optimal cholesterol
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Nature : 7810 (Springer Nature, 03.06.2020) -
The power of genetic diversity in genome-wide association studies of lipids
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Nature : 7890 (Springer Nature, 09.12.2021) -
A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape
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Nature communications (Springer Nature, 23.11.2016)