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Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data.
Zhu, Zhaozhong; Hasegawa, Kohei; Ma, Baoshan; Fujiogi, Michimasa; Camargo, Carlos A; Liang, Liming.
  • Zhu Z; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H
  • Hasegawa K; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Ma B; College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China.
  • Fujiogi M; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Camargo CA; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Liang L; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: lliang@hsph.harvard.edu.
Metabolism ; 112: 154345, 2020 11.
Article in English | MEDLINE | ID: covidwho-1006302
ABSTRACT

OBJECTIVE:

We aimed to examine the associations of obesity-related traits (body mass index [BMI], central obesity) and their genetic predisposition with the risk of developing severe COVID-19 in a population-based data. RESEARCH DESIGN AND

METHODS:

We analyzed data from 489,769 adults enrolled in the UK Biobank-a population-based cohort study. The exposures of interest are BMI categories and central obesity (e.g., larger waist circumference). Using genome-wide genotyping data, we also computed polygenic risk scores (PRSs) that represent an individual's overall genetic risk for each obesity trait. The outcome was severe COVID-19, defined by hospitalization for laboratory-confirmed COVID-19.

RESULTS:

Of 489,769 individuals, 33% were normal weight (BMI, 18.5-24.9 kg/m2), 43% overweight (25.0-29.9 kg/m2), and 24% obese (≥30.0 kg/m2). The UK Biobank identified 641 patients with severe COVID-19. Compared to adults with normal weight, those with a higher BMI had a dose-response increases in the risk of severe COVID-19, with the following adjusted ORs for 25.0-29.9 kg/m2, 1.40 (95%CI 1.14-1.73; P = 0.002); for 30.0-34.9 kg/m2, 1.73 (95%CI 1.36-2.20; P < 0.001); for 35.0-39.9 kg/m2, 2.82 (95%CI 2.08-3.83; P < 0.001); and for ≥40.0 kg/m2, 3.30 (95%CI 2.17-5.03; P < 0.001). Likewise, central obesity was associated with significantly higher risk of severe COVID-19 (P < 0.001). Furthermore, larger PRS for BMI was associated with higher risk of outcome (adjusted OR per BMI PRS Z-score 1.14, 95%CI 1.05-1.24; P = 0.004).

CONCLUSIONS:

In this large population-based cohort, individuals with more-severe obesity, central obesity, or genetic predisposition for obesity are at higher risk of developing severe-COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genetic Predisposition to Disease / Obesity, Abdominal / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Male / Middle aged Language: English Journal: Metabolism Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genetic Predisposition to Disease / Obesity, Abdominal / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Male / Middle aged Language: English Journal: Metabolism Year: 2020 Document Type: Article