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Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults.

ABSTRACT: Coronavirus disease 2019 (COVID-19) is a current pandemic, and studies reported that older people have higher rates of infection and more severe cases. Recently, studies have revealed the involvement of both genetic and exposure factors in the susceptibility of COVID-19. However, the correlation between them is still unclear. Thus, we aimed to investigate the correlation between genetic and exposure factors associated with COVID-19. We retrieved the information of 7362 participants with COVID-19 testing results from the UK Biobank. We identified genetic factors for COVID-19 by genome-wide association studies (GWAS) summary analysis. In this study, 21 single-nucleotide polymorphisms (SNPs) and 15 exposure factors [smoking, alcohol intake, daytime dozing, body mass index (BMI), triglyceride, High Density Lipoprotein (HDL), diabetes, chronic kidney disease, chronic liver disease, dementia, atmosphere NO2 concentration, socioeconomic status, education qualification, ethnicity, and income] were found to be potential risk factors of COVID-19. Then, a gene-exposure (G?×?E) association network was built based on the correlation among and between these genetic factors and exposure factors. rs140092351, a SNP on microRNA miR1202, not only had the most significant association with COVID-19, but also interacted with multiple exposure factors. Dementia, alcohol consumption, daytime dozing, BMI, HDL, and atmosphere NO₂ concentration were among most significant G?×?E interactions with COVID-19 infection (P?=?0.001).

SUBMITTER: Zhang Y

PROVIDER: S-EPMC7801182 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults.

Zhang Yuan Y Yang Hongxi H Li Shu S Li Wei-Dong WD Wang Ju J Wang Yaogang Y

Mechanisms of ageing and development 20210112

Coronavirus disease 2019 (COVID-19) is a current pandemic, and studies reported that older people have higher rates of infection and more severe cases. Recently, studies have revealed the involvement of both genetic and exposure factors in the susceptibility of COVID-19. However, the correlation between them is still unclear. Thus, we aimed to investigate the correlation between genetic and exposure factors associated with COVID-19. We retrieved the information of 7362 participants with COVID-19 ...[more]

PMID: 33444631

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Project description:BackgroundPrevious clinical studies have shown that various measures of glucose metabolism are associated with a risk of chronic kidney disease in different populations, but results were not consistent. In this study we assessed measures of glucose metabolism and their association with kidney function in a population-based study.MethodsThe Netherlands Epidemiology of Obesity study is a population-based cohort study of middle-aged men and women. We categorized the study population according to glycaemic levels into normoglycaemia (reference group), pre-diabetes mellitus (pre-DM), known DM and newly diagnosed DM. Outcome variables were serum creatinine, estimated glomerular filtration rate (eGFR), glomerular hyperfiltration (defined as an eGFR >90th percentile; >102 mL/min/1.73 m2) and micro-albuminuria. We examined the association between measures of glucose metabolism [fasting glucose, haemoglobin A1c (HbA1c), fasting insulin, glucose area under the curve (AUC), insulin AUC, Homoeostatic Model Assessment of Insulin Resistance (HOMA-IR), HOMA of β-cell function (HOMA-B) and disposition index] and measures of kidney function.ResultsOf the total population (N = 6338), 55% of participants were classified as normoglycaemic (reference), 35% as pre-DM, 7% as DM and 4% as newly diagnosed DM. Compared with the reference group, diagnosed and newly diagnosed DMs were associated with a slightly higher trend in eGFR {+2.1 mL/min/1.73 m2 [95% confidence interval (CI) -0.2-4.4] and +2.7 mL/min/1.73 m2 [95% CI -0.3-5.7], respectively}. A 1% higher HbA1c was associated with increased odds of hyperfiltration [odds ratio (OR) 1.41 (95% CI 1.06-1.88)]. Higher levels of fasting plasma glucose, AUC glucose and HOMA-B were associated with hyperfiltration. Fasting insulin, AUC insulin and HOMA-IR were not associated with hyperfiltration. The OR of microalbuminuria was 1.21 (95% CI 1.04-1.42) per mmol/L higher fasting glucose concentrations.ConclusionsBoth fasting and post-prandial glucose and HOMA-B, but not measures of insulin resistance, were associated with glomerular hyperfiltration, while fasting glucose was also associated with microalbuminuria.

Dataset Information

Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults.

Publications

Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults.

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