이지우 (Broad Institute of MIT and Harvard) | 한빛사논문 > 한빛사

한빛사논문

조회584

이지우Jiwoo Lee

Broad Institute of MIT and Harvard

CV File 285 kb

Nat. Commun., Sep 13 2023, 14 (1) 5672 | https://doi.org/10.1038/s41467-023-41394-4 Quantifying the causal impact of biological risk factors on healthcare costs.

Jiwoo Lee^1,2,3,4, Sakari Jukarainen2, Antti Karvanen², Padraig Dixon⁵, Neil M. Davies^6,7,8,9, George Davey Smith9, Pradeep Natarajan^1,3,4,10 & Andrea Ganna^1,2,11

¹Broad Institute of MIT and Harvard, Cambridge, MA, USA.

²Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

³Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

⁴Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.

⁵Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

⁶Division of Psychiatry, University College London, Maple House, 149 Tottenham Court Rd, London W1T 7NF, UK.

⁷Department of Statistical Sciences, University College London, London WC1E 6BT, UK.

⁸K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.

⁹Medical Research Council Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK.

¹⁰Department of Medicine, Harvard Medical School, Boston, MA, USA. 11Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.

Corresponding author : Correspondence to Andrea Ganna.

Abstract

Understanding the causal impact that clinical risk factors have on healthcare-related costs is critical to evaluate healthcare interventions. Here, we used a genetically-informed design, Mendelian Randomization (MR), to infer the causal impact of 15 risk factors on annual total healthcare costs. We calculated healthcare costs for 373,160 participants from the FinnGen Study and replicated our results in 323,774 individuals from the United Kingdom and Netherlands. Robust causal effects were observed for waist circumference (WC), adult body mass index, and systolic blood pressure, in which a standard deviation increase corresponded to 22.78% [95% CI: 18.75-26.95], 13.64% [10.26-17.12], and 13.08% [8.84-17.48] increased healthcare costs, respectively. A lack of causal effects was observed for certain clinically relevant biomarkers, such as albumin, C-reactive protein, and vitamin D. Our results indicated that increased WC is a major contributor to annual total healthcare costs and more attention may be given to WC screening, surveillance, and mitigation.

논문정보

형식Research article
게재일2023년 09월 (BRIC 등록일 2023-10-02)
연구진국외 연구진
분야

댓글 작성 로그인

CV 열람하기

연락처 보기