Wendy K. Chung
Columbia University
780 Papers
2.9K Citations
Wendy K. Chung is an academic researcher from Columbia University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 90, co-authored 649 publications. Previous affiliations of Wendy K. Chung include Rockefeller University & NewYork–Presbyterian Hospital.
Chat about Author
Papers
Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders
Xinyuan Zhang,Anastasia Lucas,Yogasudha Veturi,Theodore G. Drivas,William P. Bone,Anurag Verma,Wendy K. Chung,David R. Crosslin,Joshua C. Denny,Scott J. Hebbring,Gail P. Jarvik,Iftikhar J. Kullo,Eric B. Larson,Laura J. Rasmussen-Torvik,Daniel J. Schaid,Jordan W. Smoller,Ian B. Stanaway,Wei Wei,Chunhua Weng,Marylyn D. Ritchie +19 more
TL;DR: In this article , the authors characterized pleiotropy across 107 circulatory system and 40 nervous system traits using an ensemble of methods in the eMERGE Network and UK Biobank.
Do research participants share genomic screening results with family members
Julia Wynn,Hila Milo Rasouly,Tania Vasquez-Loarte,Akilan M. Saami,Robyn Weiss,Sonja I. Ziniel,Paul S. Appelbaum,Ellen Wright Clayton,Kurt D. Christensen,David Fasel,Robert C. Green,Robert C. Green,Heather S. Hain,Margaret Harr,Christin Hoell,Iftikhar J. Kullo,Kathleen A. Leppig,Melanie F. Myers,Joel E. Pacyna,Emma Perez,Cynthia A. Prows,Alanna Kulchak Rahm,Gemme Campbell-Salome,Richard R. Sharp,Maureen E. Smith,Georgia L. Wiesner,Janet L. Williams,Carrie L. Blout Zawatsky,Ali G. Gharavi,Wendy K. Chung,Ingrid A. Holm,Ingrid A. Holm +31 more
TL;DR: The eMERGE-3 study as discussed by the authors explored the reported sharing practices of participants who underwent genomic screening across the United States and found that only 34% of the 156 respondents shared their results with all first-degree relatives and 4% did not share with any.
16
Imputing cognitive impairment in SPARK, a large autism cohort
TL;DR: In this article, five commonly used machine learning models were used to predict cognitive impairment (FSIQ<80 and FSIQ<70) among 521 children with autism using parent-reported online surveys in SPARK.
Genetic testing preferences in families containing multiple individuals with epilepsy.
Janice O. Okeke,Virginia Tangel,Virginia Tangel,Shawn T. Sorge,Dale C. Hesdorffer,Melodie R. Winawer,Jeff Goldsmith,Jo C. Phelan,Wendy K. Chung,Sara Shostak,Ruth Ottman +10 more
TL;DR: To examine genetic testing preferences in families containing multiple individuals with epilepsy, a large number of families with epilepsy have had at least one person diagnosed with epilepsy.
16
Comparison of Endoscopic and Clinical Characteristics of Patients with Familial and Sporadic Barrett’s Esophagus
Samuel Y. Ash,Benjamin J. Vaccaro,Mary Kay Dabney,Wendy K. Chung,Charles J. Lightdale,Julian A. Abrams +5 more
TL;DR: While FBE patients were younger and had less-advanced neoplasia, it is speculated that these findings may have been the result of more aggressive screening due to the family history.
16