Article
Return of genome-informed risk-assessment results for common conditions to 23,840 adults and children: An eMERGE network study.
American journal of human genetics - 2 Apr 2026
Lawson Lucinda P, Prows Cynthia A, Cortopassi Josh, Davis Kyle W, Head Madilyn, Martin Lisa J, Perez Emma F, Sobowale Agboade, Abul-Husn Noura S, Bangash Hana, Bland Harris T, Bonini Katherine E, Chisholm Rex L, Chung Wendy K, Cimino James J, Connolly John J, Crosslin David R, Freimuth Robert R, Goff Blake, Gordon Adam S, Hakonarson Hakon, Harr Margaret H, Henricks Emma, Hernandez Valentina, Hoell Christin, Holm Ingrid A, Hripcsak George, Karlson Elizabeth W, Kenny Eimear E, Khan Atlas, Kiryluk Krzysztof, Kottyan Leah C, Lennon Niall J, Limdi Nita, Linder Jodell E, Liu Cong, Manolio Teri A, Maradik Mary A, Marathe Priya N, Maripuri Devi P, McNally Elizabeth M, Murphy Shawn N, Naderian Mohammadreza, Namjou Bahram, Odgis Jacqueline A, Peterson Josh F, Pineda-Alvarez Daniel E, Puckelwartz Megan, Purcell Jasmine, Rasmussen-Torvik Laura J, Roden Dan M, Rosenthal Elisabeth A, Rowley Robb, Sabatello Maya, Scherr Courtney L, Shaibi Gabriel Q, Sharp Richard R, Smoller Jordan W, Sterling Rene, Suckiel Sabrina A, Terek Shannon, Ting Yi-Lee, Velez Edwards Digna R, Walunas Theresa L, Wei Wei-Qi, Weng Chunhua, Wiesner Georgia L, Xian Su, Jarvik Gail P, Kullo Iftikhar
Abstract excerpt
Incorporating genetic risk factors to assess health risk and inform screening is critical for advancing precision medicine. The Electronic Medical Records and Genomics (eMERGE) Network conducted a large-scale study returning genome-informed risk assessments (GIRAs) to 23,840 participants (ages 3-75) across ten clinical sites. Risk for 11 common conditions was assessed using polygenic risk scores (PRSs), monogenic...
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