Attenzione: i dati modificati non sono ancora stati salvati. Per confermare inserimenti o cancellazioni di voci è necessario confermare con il tasto SALVA/INSERISCI in fondo alla pagina
ArTS Archivio della ricerca di Trieste
BACKGROUND: – Understanding the effects of genetics and lifestyle habits such as physical activity on blood pressure (BP) trajectories at an early age helps to improve understanding of the pathogenesis of hypertension over the life course. METHODS: – BP was assessed twice (at baseline and follow-up) in prepuberty (n=1063; age 5–6 years; median follow-up, 4.72 years), puberty (n=2494; age 8–14 years; median follow-up, 3.00 years), and postpuberty (n=2549; age 15–20 years; median follow-up, 3.00 years). We calculated polygenic risk scores (PRSs) for BP based on the largest BP genome-wide association study and examined the associations of PRSs with BP trajectories in the 3 age epochs, using linear mixed models. RESULTS: – One SD of PRSs was positively associated with 1.70, 1.65, and 2.92 mm Hg SBP level and 1.68, 0.85, and 1.18 mm Hg diastolic blood pressure (DBP) level at ages 5, 8, and 15 years, respectively. There was evidence of associations between PRSs and rates of change in SBP during puberty and DBP during postpuberty. During puberty, individuals in the highest quartile of systolic blood pressure (SBP)-PRS showed a 0.32 (95% CI, 0.02–0.63) mm Hg greater increase in SBP per year compared with those in the lowest quartile, while in postpuberty, those in the highest quartile of the DBP-PRS exhibited a 0.24 (95% CI, 0.02–0.45) mm Hg/y greater increase in DBP. Children who were physically active had, on average, 1.90 (95% CI, −3.77 to −0.03) mm Hg lower initial SBP than inactive children in puberty. No evidence was found for interactions of physical activity with PRS on BP levels or changes. CONCLUSIONS: – Our study suggests that genetic influences on BP are evident as early as age 5 and extend to dynamic changes in SBP during puberty and DBP during postpuberty. Higher physical activity may reduce SBP levels in puberty independent of genetic susceptibility.
Effects of Polygenic Risk Scores and Physical Activity on Blood Pressure Trajectories in Childhood, Adolescence, and Young Adulthood / Xie, T., Luo, S., Thio, C.H.L., Cardol, M., Corpeleijn, E., Lunter, G., Snieder, H., Evangelou, E., Warren, H.R., Gao, H.e., Ntritsos, G., Dimou, N., Esko, T., Mägi, R., Milani, L., Almgren, P., Boutin, T., Debette, S., Ding, J., Giulianini, F., et al.. - In: CIRCULATION. - ISSN 2574-8300. - (2026), pp. e004307.--e004307.-. [Epub ahead of print] [10.1161/circgen.125.004307]
Effects of Polygenic Risk Scores and Physical Activity on Blood Pressure Trajectories in Childhood, Adolescence, and Young Adulthood
Xie, Tian;Luo, Shili;Thio, Chris H. L.;Cardol, Marloes;Corpeleijn, Eva;Lunter, Gerton;Snieder, Harold;Evangelou, Evangelos;Warren, Helen R;Gao, He;Ntritsos, Georgios;Dimou, Niki;Esko, Tonu;Mägi, Reedik;Milani, Lili;Almgren, Peter;Boutin, Thibaud;Debette, Stéphanie;Ding, Jun;Giulianini, Franco;Holliday, Elizabeth G;Jackson, Anne U;Li-Gao, Ruifang;Lin, Wei-Yu;Luan, Jian'an;Mangino, Massimo;Oldmeadow, Christopher;Peter Prins, Bram;Qian, Yong;Sargurupremraj, Muralidharan;Shah, Nabi;Surendran, Praveen;Thériault, Sébastien;Verweij, Niek;Willems, Sara M;Zhao, Jing-Hua;Amouyel, Philippe;Connell, John;de Mutsert, Renée;Doney, Alex SF;Farrall, Martin;Menni, Cristina;Morris, Andrew D;Noordam, Raymond;Paré, Guillaume;Poulter, Neil R;Shields, Denis C;Stanton, Alice;Thom, Simon;Abecasis, Gonçalo;Amin, Najaf;Arking, Dan E;Ayers, Kristin L;Barbieri, Caterina M;Batini, Chiara;Bis, Joshua C;Blake, Tineka;Bochud, Murielle;Boehnke, Michael;Boerwinkle, Eric;Boomsma, Dorret I;Bottinger, Erwin P;Braund, Peter S;Brumat, Marco;Campbell, Archie;Campbell, Harry;Chakravarti, Aravinda;Chambers, John C;Chauhan, Ganesh;Ciullo, Marina;Cocca, Massimiliano;Collins, Francis;Cordell, Heather J;Davies, Gail;de Borst, Martin H;de Geus, Eco J;Deary, Ian J;Deelen, Joris;Del Greco M, Fabiola;Demirkale, Cumhur Yusuf;Dörr, Marcus;Ehret, Georg B;Elosua, Roberto;Enroth, Stefan;Mesut Erzurumluoglu, A;Ferreira, Teresa;Frånberg, Mattias;Franco, Oscar H;Gandin, Ilaria;Gasparini, Paolo;Giedraitis, Vilmantas;Gieger, Christian;Girotto, Giorgia;Goel, Anuj;Gow, Alan J;Gudnason, Vilmundur;Guo, Xiuqing;Gyllensten, Ulf;Hamsten, Anders;Harris, Tamara B;Harris, Sarah E;Hartman, Catharina A;Havulinna, Aki S;Hicks, Andrew A;Hofer, Edith;Hofman, Albert;Hottenga, Jouke-Jan;Huffman, Jennifer E;Hwang, Shih-Jen;Ingelsson, Erik;James, Alan;Jansen, Rick;Jarvelin, Marjo-Riitta;Joehanes, Roby;Johansson, Åsa;Johnson, Andrew D;Joshi, Peter K;Jousilahti, Pekka;Wouter Jukema, J;Jula, Antti;Kähönen, Mika;Kathiresan, Sekar;Keavney, Bernard D;Khaw, Kay-Tee;Knekt, Paul;Knight, Joanne;Kolcic, Ivana;Kooner, Jaspal S;Koskinen, Seppo;Kristiansson, Kati;Kutalik, Zoltan;Laan, Maris;Larson, Marty;Launer, Lenore J;Lehnei, Benjamin;Lehtimäki, Terho;Liewald, David CM;Lin, Li;Lind, Lars;Lindgren, Cecilia M;Liu, YongMei;Loos, Ruth JF;Lopez, Lorna M;Lu, Yingchang;Lyytikäinen, Leo-Pekka;Mahajan, Anubha;Mamasoula, Chrysovalanto;Marrugat, Jaume;Marten, Jonathan;Milaneschi, Yuri;Morgan, Anna;Morris, Andrew P;Morrison, Alanna C;Munson, Peter J;Nalls, Mike A;Nandakumar, Priyanka;Nelson, Christopher P;Niiranen, Teemu;Nolte, Ilja M;Nutile, Teresa;Oldehinkel, Albertine J;Oostra, Ben A;O'Reilly, Paul F;Org, Elin;Padmanabhan, Sandosh;Palmas, Walter;Palotie, Aarno;Pattie, Alison;Penninx, Brenda WJH;Perola, Markus;Peters, Annette;Polasek, Ozren;Pramstaller, Peter P;Tri Nguyen, Quang;Raitakari, Olli T;Rettig, Rainer;Rice, Kenneth;Ridker, Paul M;Ried, Janina S;Riese, Harriëtte;Ripatti, Samuli;Robino, Antonietta;Rose, Lynda M;Rotter, Jerome I;Rudan, Igor;Ruggiero, Daniela;Saba, Yasaman;Sala, Cinzia F;Salomaa, Veikko;Samani, Nilesh J;Sarin, Antti-Pekka;Schmidt, Reinhold;Schmidt, Helena;Shrine, Nick;Siscovick, David;Smith, Albert V;Sõber, Siim;Sorice, Rossella;Starr, John M;Stott, David J;Strachan, David P;Strawbridge, Rona J;Sundström, Johan;Swertz, Morris A;Taylor, Kent D;Teumer, Alexander;Tobin, Martin D;Tomaszewski, Maciej;Toniolo, Daniela;Traglia, Michela;Trompet, Stella;Tuomilehto, Jaakko;Tzourio, Christophe;Uitterlinden, André G;Vaez, Ahmad;van der Most, Peter J;van Duijn, Cornelia M;Verwoert, Germaine C;Vitart, Veronique;Völker, Uwe;Vollenweider, Peter;Vuckovic, Dragana;Watkins, Hugh;Wild, Sarah H;Willemsen, Gonneke;Wilson, James F;Wright, Alan F;Yao, Jie;Zemunik, Tatijana;Zhang, Weihua;Attia, John R;Butterworth, Adam S;Chasman, Daniel I;Conen, David;Cucca, Francesco;Danesh, John;Hayward, Caroline;Howson, Joanna MM;Laakso, Markku;Lakatta, Edward G;Langenberg, Claudia;Melander, Olle;Mook-Kanamori, Dennis O;Palmer, Colin NA;Risch, Lorenz;Scott, Robert A;Scott, Rodney J;Sever, Peter;Spector, Tim D;van der Harst, Pim;Wareham, Nicholas J;Zeggini, Eleftheria;Levy, Daniel;Munroe, Patricia B;Newton-Cheh, Christopher;Brown, Morris J;Metspalu, Andres;Psaty, Bruce M.;Wain, Louise V;Elliott, Paul;Caulfield, Mark J
2026-01-01
Abstract
BACKGROUND: – Understanding the effects of genetics and lifestyle habits such as physical activity on blood pressure (BP) trajectories at an early age helps to improve understanding of the pathogenesis of hypertension over the life course. METHODS: – BP was assessed twice (at baseline and follow-up) in prepuberty (n=1063; age 5–6 years; median follow-up, 4.72 years), puberty (n=2494; age 8–14 years; median follow-up, 3.00 years), and postpuberty (n=2549; age 15–20 years; median follow-up, 3.00 years). We calculated polygenic risk scores (PRSs) for BP based on the largest BP genome-wide association study and examined the associations of PRSs with BP trajectories in the 3 age epochs, using linear mixed models. RESULTS: – One SD of PRSs was positively associated with 1.70, 1.65, and 2.92 mm Hg SBP level and 1.68, 0.85, and 1.18 mm Hg diastolic blood pressure (DBP) level at ages 5, 8, and 15 years, respectively. There was evidence of associations between PRSs and rates of change in SBP during puberty and DBP during postpuberty. During puberty, individuals in the highest quartile of systolic blood pressure (SBP)-PRS showed a 0.32 (95% CI, 0.02–0.63) mm Hg greater increase in SBP per year compared with those in the lowest quartile, while in postpuberty, those in the highest quartile of the DBP-PRS exhibited a 0.24 (95% CI, 0.02–0.45) mm Hg/y greater increase in DBP. Children who were physically active had, on average, 1.90 (95% CI, −3.77 to −0.03) mm Hg lower initial SBP than inactive children in puberty. No evidence was found for interactions of physical activity with PRS on BP levels or changes. CONCLUSIONS: – Our study suggests that genetic influences on BP are evident as early as age 5 and extend to dynamic changes in SBP during puberty and DBP during postpuberty. Higher physical activity may reduce SBP levels in puberty independent of genetic susceptibility.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3149118
Avviso
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
Citazioni
ND
ND
ND
social impact
Conferma cancellazione
Sei sicuro che questo prodotto debba essere cancellato?
simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.