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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.

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Journal Article

Etiologic heterogeneity of neural tube defects. II. Clues from family studies.

TL;DR: It is suggested that NTDs are eti heterogeneous, depending on the presence of associated defects, and point to important environmental influences in the increased risk for birth defects among siblings of singles.
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Health care provider and consumer awareness, perceptions, and use of direct-to-consumer personal genomic tests, United States, 2008

TL;DR: In insights into HP and consumer awareness, perceptions, and use of direct-to-consumer PG tests, a first glimpse into how PG tests may be influencing consumer awareness and demand for PG tests is provided.
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Current priorities for public health practice in addressing the role of human genomics in improving population health.

TL;DR: In spite of accelerating human genome discoveries in a wide variety of diseases of public health significance, the promise of personalized health care and disease prevention based on genomics has lagged behind and public health agencies must continue to focus on implementing programs that can improve health and prevent disease now.
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The Integration of Genomics into Public Health Research, Policy and Practice in the United States.

TL;DR: Opportunities for immediate action include strategic planning for the integration of genomics across programs, developing genomics competencies among health professionals, enhancing surveillance and epidemiologic capacity to aid evidence-based policy making.
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Personal utility and genomic information: Look before you leap

TL;DR: It is suggested that personal utility can be measured and used to identify which individuals are most likely to benefit from or be harmed by personal genomic information, and it is proposed that measures of personal utility be combined with measures of utility in terms of health outcomes to generate aggregate estimates of benefits.