Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations ( P  ...

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Vydané v:Nature genetics Ročník 52; číslo 12; s. 1314 - 1332
Hlavní autori: Ntalla, Ioanna, Karthikeyan, Savita, Mifsud, Borbala, Kraja, Aldi T., Cartwright, James H., Hellwege, Jacklyn N., Giri, Ayush, Tragante, Vinicius, Prins, Bram P., Cabrera, Claudia P., Eales, James M., Akbarov, Artur, Bielak, Lawrence F., Brody, Jennifer A., Drenos, Fotios, Nielsen, Sune Fallgaard, Faul, Jessica D., Franceschini, Nora, Gao, He, Giulianini, Franco, Hwang, Shih-Jen, Kanoni, Stavroula, Lindström, Jaana, Luan, Jian’an, Mahajan, Anubha, Malerba, Giovanni, Perola, Markus, Richard, Melissa, Richardson, Tom G., Sepúlveda, Nuno, Thériault, Sébastien, Trompet, Stella, Varga, Tibor V., Velez Edwards, Digna R., Veronesi, Giovanni, Weiss, Stefan, Willems, Sara M., Young, Robin, Zhang, Weihua, Zhao, Wei, Evangelou, Evangelos, Aeschbacher, Stefanie, Asllanaj, Eralda, Mutsert, Renée de, Dörr, Marcus, Gaziano, J. Michael, Have, Christian T., Kajantie, Eero, Kamat, Mihir, Karpe, Fredrik, Koistinen, Heikki A., Moitry, Marie, Peters, James, Rossouw, Jacques, Sever, Peter S., Sigurdsson, Emil L., Skaaby, Tea, Sun, Yan V., Trabetti, Elisabetta, Vaartjes, Ilonca, Buring, Julie E., Chowdhury, Rajiv, Correa, Adolfo, Deary, Ian J., Deloukas, Panos, Ferrières, Jean, Fornage, Myriam, Gaunt, Tom R., Harris, Tamara B., Järvelin, Marjo-Riitta, Kooperberg, Charles, Launer, Lenore J., Majumder, Abdulla al Shafi, Laakso, Markku, Melander, Olle, Mohlke, Karen L., Orho-Melander, Marju, Palmas, Walter, Polasek, Ozren, Province, Michael A., Rolandsson, Olov, Rosendaal, Frits R., Rotter, Jerome I., Samani, Nilesh J., Soranzo, Nicole, Spector, Timothy D., Starr, John M., van der Harst, Pim, van der Meer, Peter, Verweij, Niek, Virtamo, Jarmo, Wareham, Nicholas J., Langenberg, Claudia, Liu, Chunyu, Manning, Alisa K., Morrison, Alanna C., O’Donnell, Christopher J., Saleheen, Danish, Boerwinkle, Eric, Chasman, Daniel I.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Nature Publishing Group US 01.12.2020
Nature Publishing Group
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ISSN:1061-4036, 1546-1718, 1546-1718
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Shrnutí:Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations ( P  < 5 × 10 −8 ), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3 ). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets. Meta-analyses in up to 1.3 million individuals identify 87 rare-variant associations with blood pressure traits. On average, rare variants exhibit effects ~8 times larger than the mean effects of common variants and implicate candidate causal genes at associated regions.
Bibliografia:ObjectType-Article-1
ObjectType-Evidence Based Healthcare-3
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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PMCID: PMC7610439
These authors jointly supervised the work.
Current address (if different to the affiliations), Mark McCarthy: Genentech, South San Francisco, CA, USA.
ISSN:1061-4036
1546-1718
1546-1718
DOI:10.1038/s41588-020-00713-x