Optimal screening for genetic diseases |
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| Affiliation: | 1. Department of Radiology, Nationwide Children''s Hospital, Columbus, Ohio;2. Department of Radiology, The Ohio State University College of Medicine and Public Health, Columbus, Ohio;3. Center for Molecular and Human Genetics, Nationwide Children''s Hospital Research Institute, Columbus, Ohio;4. Department of Pediatrics, The Ohio State University College of Medicine and Public Health, Columbus, Ohio;1. Cornell University, College of Veterinary Medicine, Department of Population Medicine & Diagnostic Sciences, and the Atkinson Center for a Sustainable Future, Ithaca, NY 14853, USA;1. Department of Neurology, Forbes Norris MDA/ALS Center, California Pacific Medical Center, 2324 Sacramento Street, Suite 111, San Francisco, CA 94115, USA;2. Department of Neurology, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 2012, Kansas City, KS 66160, USA;3. Department of Neurology, Eleanor and Lou Gehrig MDA/ALS Research Center, Columbia University Medical Center, 710 West 168th Street, New York, NY 10032, USA;1. Department of Public Health, University of Otago, Wellington, New Zealand;2. MSc Programme in Health Economics, University of York, United Kingdom;3. Prince of Wales Clinical School, University of New South Wales, Sydney, Australia;1. Wardliparingga Aboriginal Research Unit, South Australian Health and Medical Research Institute, PO Box 11060, Adelaide, SA 5001, Australia;2. Onemda VicHealth Koori Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Vic 3010, Australia;3. Centre for Health and Society, Melbourne School of Population and Global Health, The University of Melbourne, Vic 3010, Australia |
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| Abstract: | Screening for genetic diseases is performed in many regions and/or ethnic groups where there is a high prevalence of possibly malign genes. The propagation of such genes can be considered a dynamic externality. Given that many of these diseases are untreatable and give rise to truly tragic outcomes, they are a source of societal concern, and the screening process should perhaps be regulated. This paper incorporates a standard model of genetic propagation into an economic model of dynamic management to derive cost benefit rules for optimal screening. The highly non-linear nature of genetic dynamics gives rise to perhaps surprising results that include discontinuous controls and threshold effects. One insight is that any screening program that is in place for any amount of time should screen all individuals in a target population. The incorporation of genetic models may prove to be useful to several emerging fields in economics such as genoeconomics, neuroeconomics and paleoeconomics. |
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| Keywords: | Genetic dynamics Genetic screening Optimal control |
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