NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Therapeutic Translation of Genomic Science: Opportunities and Limitations of GWAS

Manuel Hermosilla, Jorge Lemus

Chapter in NBER book Economic Dimensions of Personalized and Precision Medicine (2019), Ernst R. Berndt, Dana P. Goldman, and John W. Rowe, editor (p. 21 - 52)
Conference held September 13-14, 2017
Published in April 2019 by University of Chicago Press
© 2019 by the National Bureau of Economic Research

Many scientists predicted a swift revolution in human therapeutics after the completion of the Human Genome Project (“HGP”). This revolution, however, has been slow to materialize in spite of the scientific advances. We investigate the role of biological complexity in slowing down this revolution. Our test relies on a disease-specific measure of biological complexity, constructed by drawing on insights from Network Medicine (Barabási et al. 2011). According to our measure, more complex diseases are associated with a larger number of genetic mutations—higher centrality in the Human Disease Network (Goh et al. 2007). With this measure in hand, we estimate the rate of translation of new science into early-stage drug innovation by focusing on a leading type of genetic epidemiological knowledge (Genome-Wide Association Studies) and employing standard methods for the measurement of R&D productivity. For less complex diseases, we find a strong and positive association between cumulative knowledge and the amount of innovation. This association weakens as complexity increases, becoming statistically insignificant at the extreme. Our results suggest that biological complexity is, in part, responsible for the slower-than-expected unfolding of the therapeutical revolution set in motion by the HGP.

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This chapter first appeared as NBER working paper w23989, Therapeutic Translation of Genomic Science: Opportunities and limitations of GWAS, Manuel I. Hermosilla, Jorge A. Lemus
 
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