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Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores.
Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchel BD, Psaty BM, Jaeger BC, Gu CC, Kooperberg C, Levy D, Lloyd-Jones D, Choi E, Brody JA, Smith JA, Rotter JI, Moll M, Fornage M, Simon N, Castaldi P, Casanova R, Chung RH, Kaplan R, Loos RJF, Kardia SLR, Rich SS, Redline S, Kelly T, O'Connor T, Zhao W, Kim W, Guo X, Der Ida Chen Y; Trans-Omics in Precision Medicine Consortium; Sofer T. Hrytsenko Y, et al. Among authors: lyons g. medRxiv [Preprint]. 2023 Dec 14:2023.12.13.23299909. doi: 10.1101/2023.12.13.23299909. medRxiv. 2023. Update in: Sci Rep. 2024 May 30;14(1):12436. doi: 10.1038/s41598-024-62945-9. PMID: 38168328 Free PMC article. Updated. Preprint.
Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores.
Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, Jaeger BC, Gu CC, Kooperberg C, Levy D, Lloyd-Jones D, Choi E, Brody JA, Smith JA, Rotter JI, Moll M, Fornage M, Simon N, Castaldi P, Casanova R, Chung RH, Kaplan R, Loos RJF, Kardia SLR, Rich SS, Redline S, Kelly T, O'Connor T, Zhao W, Kim W, Guo X, Ida Chen YD; Trans-Omics in Precision Medicine Consortium; Sofer T. Hrytsenko Y, et al. Among authors: lyons g. Sci Rep. 2024 May 30;14(1):12436. doi: 10.1038/s41598-024-62945-9. Sci Rep. 2024. PMID: 38816422 Free PMC article.
Covalent Modification of p53 by (E)-1-(4-Methylpiperazin-1-yl)-3-(5-nitrofuran-2-yl)prop-2-en-1-one.
Brown K, Robello M, Perciaccante AJ, Dinan JC, Maity TK, Lyons GC, Kumar JP, Durell SR, Tagad HD, Schilling D, Nikolayevskiy H, O'Connor R, Appella E, Appella DH, Jenkins LM. Brown K, et al. Among authors: lyons gc. ACS Pharmacol Transl Sci. 2024 Oct 14;7(11):3559-3572. doi: 10.1021/acsptsci.4c00447. eCollection 2024 Nov 8. ACS Pharmacol Transl Sci. 2024. PMID: 39539265
618 results