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
More filters
Journal ArticleDOI
The surveillance of birth defects: the usefulness of the revised US standard birth certificate.
TL;DR: To assess the sensitivity and positive predictive value of birth defects reported on the 1989 revision of the US Standard Birth Certificate, a population of 76,862 Atlanta-area births was used as the basis for comparing 771 birth certificates that reported birth defects with 2428 live-born infant records in a birth defects registry that uses multiple sources of case ascertainment.
Journal ArticleDOI
The role of genetic polymorphisms in environmental health.
TL;DR: A basic framework for researchers interested in pursuing health effects research that incorporates genetic polymorphisms is described and the ability to detect different levels of risk within the population and greater understanding of etiologic mechanisms are illustrated.
Journal ArticleDOI
Maternal Flu, Fever, and the Risk of Neural Tube Defects: A Population-based Case-Control Study
TL;DR: A population-based case-control study of infants born in metropolitan Atlanta, Georgia, from 1968 through 1980 included 385 infants with NTD, 3,647 infants with other birth defects, and 2,676 infants without birth defects.
Journal ArticleDOI
Case-only design to measure gene-gene interaction.
TL;DR: It is shown that the case-only design is also a valid and efficient approach to measuring gene-gene interaction under the assumption that the frequencies of genes are independent in the population.
Journal ArticleDOI
The impact of genotype frequencies on the clinical validity of genomic profiling for predicting common chronic diseases.
A. Cecile J.W. Janssens,Ramal Moonesinghe,Quahne Yang,Ewout W. Steyerberg,Cornelia M. van Duijn,Muin J. Khoury +5 more
TL;DR: The feasibility of future genomic profiling for predicting common diseases will depend substantially on the frequencies of the risk genotypes, given that the effects of susceptibility genes in complex diseases are small.