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Returning integrated genomic risk and clinical recommendations: The eMERGE study.
Linder JE, Allworth A, Bland HT, Caraballo PJ, Chisholm RL, Clayton EW, Crosslin DR, Dikilitas O, DiVietro A, Esplin ED, Forman S, Freimuth RR, Gordon AS, Green R, Harden MV, Holm IA, Jarvik GP, Karlson EW, Labrecque S, Lennon NJ, Limdi NA, Mittendorf KF, Murphy SN, Orlando L, Prows CA, Rasmussen LV, Rasmussen-Torvik L, Rowley R, Sawicki KT, Schmidlen T, Terek S, Veenstra D, Velez Edwards DR, Absher D, Abul-Husn NS, Alsip J, Bangash H, Beasley M, Below JE, Berner ES, Booth J, Chung WK, Cimino JJ, Connolly J, Davis P, Devine B, Fullerton SM, Guiducci C, Habrat ML, Hain H, Hakonarson H, Harr M, Haverfield E, Hernandez V, Hoell C, Horike-Pyne M, Hripcsak G, Irvin MR, Kachulis C, Karavite D, Kenny EE, Khan A, Kiryluk K, Korf B, Kottyan L, Kullo IJ, Larkin K, Liu C, Malolepsza E, Manolio TA, May T, McNally EM, Mentch F, Miller A, Mooney SD, Murali P, Mutai B, Muthu N, Namjou B, Perez EF, Puckelwartz MJ, Rakhra-Burris T, Roden DM, Rosenthal EA, Saadatagah S, Sabatello M, Schaid DJ, Schultz B, Seabolt L, Shaibi GQ, Sharp RR, Shirts B, Smith ME, Smoller JW, Sterling R, Suckiel SA, Thayer J, Tiwari HK, Trinidad SB, Walunas T, Wei WQ, Wells QS, Weng C, Wiesner GL, Wiley K; eMERGE Consortium… See abstract for full author list ➔ Linder JE, et al. Genet Med. 2023 Apr;25(4):100006. doi: 10.1016/j.gim.2023.100006. Epub 2023 Jan 6. Genet Med. 2023. PMID: 36621880 Free PMC article.
The network developed methods to return cross-ancestry polygenic risk scores, monogenic risks, family history, and clinical risk assessments via a genome-informed risk assessment (GIRA) report and will assess uptake of care reco
The network developed methods to return cross-ancestry polygenic risk scores, monogenic risks, family history, and clinical
Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO.
Lee G, Liang JW, Zhang Q, Huang T, Choirat C, Parmigiani G, Braun D. Lee G, et al. Elife. 2021 Aug 18;10:e68699. doi: 10.7554/eLife.68699. Elife. 2021. PMID: 34406119 Free PMC article.
This leads to more accurate risk predictions and ultimately has a high impact on prevention strategies for cancer and clinical decision making. ...To address this challenge, Lee, Liang et al. have developed a new risk-profiling software that can integrate
This leads to more accurate risk predictions and ultimately has a high impact on prevention strategies for cancer and clinical