M
Muin J. Khoury
Researcher at Centers for Disease Control and Prevention
Publications - 523
Citations - 40286
Muin J. Khoury is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Population & Public health. The author has an hindex of 105, co-authored 512 publications receiving 37434 citations. Previous affiliations of Muin J. Khoury include United States Department of Health and Human Services & Université de Montréal.
Papers
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Journal ArticleDOI
SEER Cancer Registry Biospecimen Research: Yesterday and Tomorrow
Sean F. Altekruse,Gabriel Rosenfeld,Danielle M. Carrick,Emilee J. Pressman,Sheri D. Schully,Leah E. Mechanic,Kathleen A. Cronin,Brenda Y. Hernandez,Charles F. Lynch,Wendy Cozen,Muin J. Khoury,Lynne T. Penberthy +11 more
TL;DR: The National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) registries have been a source of biospecimens for cancer research for decades.
Journal ArticleDOI
Reporting of Human Genome Epidemiology (HuGE) association studies: An empirical assessment
Ajay Yesupriya,Evangelos Evangelou,Fotini K. Kavvoura,Nikolaos A. Patsopoulos,Melinda Clyne,Matthew Walsh,Bruce K. Lin,Wei Yu,Marta Gwinn,John P. A. Ioannidis,Muin J. Khoury +10 more
TL;DR: Many items needed to assess error and bias in human genome epidemiology association studies are not consistently reported, and reporting guidelines and online supplemental material may help enhance the transparency of this literature.
Journal ArticleDOI
Is There Etiologic Heterogeneity between Upper and Lower Neural Tube Defects
TL;DR: Results do not support the concept that upper and lower neural tube defects differ in risks from exogenous factors, but differences in sibling recurrence and in risks by sex between the two groups suggest an underlying heterogeneity in genetic susceptibility factors.
Patent
Personal assessment including familial risk analysis for personalized disease prevention plan
TL;DR: In this paper, family health history information is used to assess familial risk for common diseases and determine early detection and prevention medical strategies, which can then be used to determine recommendations for disease prevention and screening that are targeted to familial risk.
Journal ArticleDOI
Improvements in Ability to Detect Undiagnosed Diabetes by Using Information on Family History Among Adults in the United States
TL;DR: Adding family history of diabetes can provide significant improvements in detecting undiagnosed diabetes in the US population, and logistic regression models with established risk factors with a model that also included familial risk of diabetes were superior.