Muin J. Khoury
@MuinJKhoury
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Physician, Epidemiologist, Medical Geneticist, Public Health Professional. Retired Director of the Office of Public Health Genomics at the CDC
Atlanta, GA
Joined May 2018
Achieving the vision of genomics to improve health for all requires a focus on diversity, equity and inclusion: A simple message. Editorial in Journal Community Genetics.
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From Genes to Public Health: Am Emerging Opportunity for the Administration for Healthy America!
linkedin.com
From Genes to Public Health: An emerging opportunity for the new Administration for a Healthy America. As the "new" Centers for Disease Control and Prevention will focus almost entirely on infectious...
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From genes to public health 1996: the beginning of the journey! Via @AMJPublicHealth
ajph.aphapublications.org
OBJECTIVES: With advances in the Human Genome Project, the implications of genetic technology in disease prevention should be assessed. METHODS: The paradigm suggested in The Future of Public...
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From genetic epidemiology to public health genomics and precision public health: Looking back, looking ahead. Via @KargerPublisher
karger.com
At the end of 2024, I retired from the Centers for Disease Control and Prevention (CDC) after a 40-year career in public health. For the past 26 years, I led the Office of Public Health Genomics...
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Public health genomics in the United States: 1998-2025. Via @LinkedIn
linkedin.com
Public Health Genomics in the United States 1998-2025. in 2011, Turna Ray wrote a thoughtful story in GenomeWeb entitled “Tight Budgets Defund Key CDC Effort, but Director Will Retain Focus on Public...
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Public Health Genomics 2025: The End of the Beginning (Again)!
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After 40 years at the Centers for Disease Control and Prevention, and more than 25 years in public health genomics, I am retiring at the end of 2024. What a privilege and an honor it has been! But the journey from genes to public health continues.
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A collection of articles on genomic testing in low and middle income countries. Via @ejhg_journal
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Precision public health in action: global genomic surveillance of monkeypox virus. Via @Nature
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An informative @GIMJournal review of 10 years of @ClinGenResource as a global effort to define the clinical relevance of genes and variants for medical and research use.
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RT @J_Osei94: Rigorous evaluation of the utility of EHR-based screening tools for Familial hypercholesterolemia is needed to ensure their e….
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This large-scale evaluation study underscores the importance of a genetic diagnosis in children with severe developmental disorders to ensure timely referral, enable appropriate care, and to access relevant patient support groups. @GIMJournal Open .
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Transcriptomics is an emerging tool in research to predict toxicological hazards. An informative @NatureRevGenet review on progress in toxicogenomics to protect human health.
nature.com
Nature Reviews Genetics - Toxicogenomics leverages molecular data to predict toxicological effects. In this Review, the authors summarize innovations in transcriptomics and emerging methods, such...
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Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk. Via @CEBP_AACR
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Copy number variation (CNV) is an important source of heritability with downstream applications such as polygenic risk scoring and drug target identification. An informative @NatureRevGenet review on the use of CNV in genome wide association studies.
nature.com
Nature Reviews Genetics - With SNP-based genome-wide association studies (GWAS) nearing signal saturation, exploring copy number variation (CNV) can offer new insights into the genetic architecture...
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“I’m speechless. I like machine learning and artificial intelligence networks as much as the next person, but hard to see this is a physics discovery.” AI comes to the Nobels.
nature.com
Nature - Although many researchers celebrated this year’s chemistry and physics prizes, others were disappointed by the focus on computational methods.
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"Although seven drugs have already been approved in the USA for the treatment of DMD, only one has been approved in Europe. Ultimately, it is the patients, their families and the payers who decide whether marginally effective drugs are worth the cost."
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Machine learning has revolutionized the way genomic data are analyzed and interpreted. This @NatureRevGenet collection explores how machine learning has contributed valuable insights into genetic variation and disease mechanisms.
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