Ramon Casanova to Genome-Wide Association Study
This is a "connection" page, showing publications Ramon Casanova has written about Genome-Wide Association Study.
Connection Strength
0.264
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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. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 May 30; 14(1):12436.
Score: 0.199
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Lutz MW, Casanova R, Saldana S, Kuchibhatla M, Plassman BL, Hayden KM. Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study. Neurobiol Aging. 2019 08; 80:173-186.
Score: 0.035
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Thambisetty M, Casanova R, Varma S, Legido Quigley C. Peril beyond the winner's curse: A small sample size is the bane of biomarker discovery. Alzheimers Dement. 2017 05; 13(5):606-607.
Score: 0.030