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Genetic Risk and Chronic Obstructive Pulmonary Disease Independently Predict the Risk of Incident Severe COVID-19.
Huang, Qing-Mei; Zhang, Pei-Dong; Li, Zhi-Hao; Zhou, Jian-Meng; Liu, Dan; Zhang, Xi-Ru; Zhong, Wen-Fang; Zhang, Yu-Jie; Shen, Dong; Liang, Fen; Song, Wei-Qi; Yang, Shi-Gui; Guan, Wei-Jie; Mao, Chen.
  • Huang QM; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhang PD; Longgang Center for Disease Control and Prevention in Shenzhen, Shenzhen, China.
  • Li ZH; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhou JM; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Liu D; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhang XR; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhong WF; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhang YJ; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Shen D; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Liang F; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Song WQ; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Yang SG; Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Guan WJ; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou, China.
  • Mao C; State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China; and.
Ann Am Thorac Soc ; 19(1): 58-65, 2022 01.
Article in English | MEDLINE | ID: covidwho-1605425
ABSTRACT
Rationale Both genetic variants and chronic obstructive pulmonary disease (COPD) contribute to the risk of incident severe coronavirus disease (COVID-19). Whether genetic risk of incident severe COVID-19 is the same regardless of preexisting COPD is unknown.

Objectives:

In this study, we aimed to investigate the potential interaction between genetic risk and COPD in relation to severe COVID-19.

Methods:

We constructed a polygenic risk score for severe COVID-19 by using 112 single-nucleotide polymorphisms in 430,582 participants from the UK Biobank study. We examined the associations of genetic risk and COPD with severe COVID-19 by using logistic regression models.

Results:

Of 430,582 participants, 712 developed severe COVID-19 as of February 22, 2021, of whom 19.8% had preexisting COPD. Compared with participants at low genetic risk, those at intermediate genetic risk (odds ratio [OR], 1.34; 95% confidence interval [CI], 1.09-1.66) and high genetic risk (OR, 1.50; 95% CI, 1.18-1.92) had higher risk of severe COVID-19 (P for trend = 0.001), and the association was independent of COPD (P for interaction = 0.76). COPD was associated with a higher risk of incident severe COVID-19 (OR, 1.37; 95% CI, 1.12-1.67; P = 0.002). Participants at high genetic risk and with COPD had a higher risk of severe COVID-19 (OR, 2.05; 95% CI, 1.35-3.04; P < 0.001) than those at low genetic risk and without COPD.

Conclusions:

The polygenic risk score, which combines multiple risk alleles, can be effectively used in screening for high-risk populations of severe COVID-19. High genetic risk correlates with a higher risk of severe COVID-19, regardless of preexisting COPD.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pulmonary Disease, Chronic Obstructive / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Ann Am Thorac Soc Year: 2022 Document Type: Article Affiliation country: AnnalsATS.202102-171OC

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pulmonary Disease, Chronic Obstructive / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Ann Am Thorac Soc Year: 2022 Document Type: Article Affiliation country: AnnalsATS.202102-171OC