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Lessons Learned from the Emerge Network: Balancing Genomics in Discovery and Practice

Jodell E. Linder,Alanna K. Rahm,Ian B. Stanaway,Hana Zouk,Elisabeth A. Rosenthal,Ozan Dikilitas,Adam S. Gordon,Megan J. Puckelwartz,Krzysztof Kiryluk,Bahram Namjou,Ingrid A. Holm,Cynthia A. Prows,Iftikhar J. Kullo,Marc S. Williams,Heidi L. Rehm,Patrick M. A. Sleiman,Chunhua Weng,Wendy K. Chung,Maureen E. Smith,Bradley A. Malin,Samuel E. Adunyah,Christopher G. Chute,Josh C. Denny,Ali Gharavi,Richard Gibbs,Hakon Hakonarson,John Harley,George Hripcsak,Elizabeth W. Karlson,Eric B. Larson,Niall Lennon,Shawn Murphy,Dan M. Roden,Richard R. Sharp,Jordan W. Smoller,Wei-Qi Wei,Scott T. Weiss,Digna R. Velez Edwards,Melissa A. Basford,Brittany B. City,Alanna J. DiVietro,Brandy M. Mapes, Timoethia M. Stone,Laura Allison B. Woods,Jyoti G. Dayal,Robb K. Rowley,Baergen Schultz,Ken L. Wiley,Sheethal Jose,Christine Eng,Jianhong Hu,David Murdock,Donna Muzny,Steven Scherer,Eric Venner,Kimberly Walker,Mullai Murugan,Viktoriya Korchina,Christie Kovar,Kevin R. Dufendach,Kenneth M. Kaufman, Todd Lingren,John Lynch,Keith Marsolo,Erin M. Miller,Melanie F. Myers,Yizhao Ni,Beth L. Cobb,Debra J. Abrams,Berta Almoguera,Meckenzie Behr,Elizabeth J. Bhoj,John J. Connolly,Joe T. Glessner,Margaret Harr,Heather S. Hain,Frank D. Mentch,Addie Nesbitt, Renata P. da Silva,Avni Santani,Lifeng Tian,Lyam Vazquez,Paul S. Appelbaum,Wendy Chung,Katherine D. Crew,David Fasel,Alex Fedotov,Alexander L. Hsieh,Atlas Khan,Cong Liu,Maddalena Marasa,Hila Milo Rasouly,Jordan Nestor,Lynn Petukhova,Soumitra Sengupta,Yufeng Shen,Ning Shang,Miguel Verbitsky,Julia Wynn,Kenneth M. Borthwick,Adam H. Buchanan,David J. Carey,Jessica M. Goehringer,Darren K. Johnson,Laney K. Jones,Navya Shilpa Josyula,Anne E. Justice,H. Lester Kirchner,Benjamin R. Kuhn,Ming Ta Michael Lee,Yanfei Zhang,Melissa A. Kelly,Casey Overby Taylor,Thomas N. Person,Cassandra Pisieczko,Amy C. Sturm,Agnes S. Sundaresan,Nephi Walton,Janet Williams,Juliann M. Savatt,Barbara Benoit,Andrew Cagan,Victor M. Castro,Vivian S. Gainer,Shawn N. Murphy, Ladia H. Albertson-Junkans,Deborah J. Bowen,David S. Carrell,Paul K. Crane,Stephanie M. Fullerton, Andrea L. Hartzler,Nora B. Henrikson, Dustin L. Key,Kathleen A. Leppig,James D. Ralston,Arvind Ramaprasan,Aaron Scrol,Peter Tarczy-Hornoch,David L. Veenstra,Hana Bangash,Pedro J. Caraballo,Mariza De Andrade,David C. Kochan,Noralane M. Lindor,Daniel J. Schaid,Joel E. Pacyna,Maya S. Safarova,Gabriel Q. Shaibi,Janet E. Olson,Philip Lammers,Siddharth Pratap,Rajbir Singh, Duane T. Smoot,Sharon Aufox,Christin Hoell,Yoonjung Y. Joo,Yuan Luo,Elizabeth McNally,Jennifer A. Pacheco,Luke Rasmussen,Laura J. Rasmussen-Torvik,Justin Starren,Theresa Walunas,Firas H. Wehbe,Samuel Aronson,Lawrence J. Babb,Mark Bowser,Birgit Funke,Stacey Gabriel, Chet Graham,Maegan Harden,Elizabeth D. Hynes,Barbara J. Klanderman,Emily Kudalkar,Matthew S. Lebo,Chiao-Feng Lin,Alyssa Macbeth,Lisa Mahanta,Himanshu Sharma,Matthew Varugheese,Leora Witkowski,Sarah T. Bland,Ellen Wright Clayton,Todd L. Edwards,Jacklyn N. Hellwege,Jacob M. Keaton,Sara L. Van Driest,Quinn S. Wells,Murray Brilliant,Scott Hebbring,Terrie Kitchner,Erwin P. Bottinger,Eimear E. Kenny,Aniwaa Owusu Obeng,Rex L. Chisholm,Gail P. Jarvik,Josh F. Peterson,David R. Crosslin

HUMAN GENETICS AND GENOMICS ADVANCES(2021)

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摘要
The Electronic Medical Records and Genomics (eMERGE) Network, established in 2007, is a consortium of academic and integrated health systems conducting discovery and implementation research in translational genomics. Here, we outline the history of the network, highlight major impacts and lessons learned, and present the tools and resources developed for large-scale genomic analyses and translation into a clinical setting. The network developed methods to extract phenotypes from the electronic medical record to perform genome-wide and phenome-wide association studies. Recruited cohorts were clinically sequenced off a custom panel for targeted sequencing of variants and monogenic disease risks and returned to participants to investigate the impact of return of genomic results. After generating a 105,000 participant-imputed genome-wide association study (GWAS) dataset for discovery, the network enrolled and sequenced 24,998 participants. Integration of these results into the medical record and the effects of results on participants provided key lessons to the field. These learned lessons inform genetic research in diverse populations and provide insights into the clinical impact of return and implementation of genomic medicine using the electronic medical record. The lessons produced by the eMERGE Network can be utilized by other consortia as translational genomic medicine research evolves.
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