Mendelian randomization study on the causal effects of COVID‐19 on childhood intelligence

Zhu, Gaizhi; Zhou, Shi‐Ping; Xu, Yiyao; Gao, Ran; Li, Huan; Su, Wenting; Han, Gencheng; Wang, Renxi

doi:10.1002/jmv.27736

Cited by 18 publications

(8 citation statements)

References 48 publications

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“…This glioma GWAS has 6811 European participants (Supplementary table 1). The summary statistics for genetic associations of glioma is available at https://gwas.mrcieu.ac.uk/datasets/ieu-a-1013.Three eligible instrumental SNPs were selected by a series of quality control steps [23,24]. First, SNPs associated with glioma with genome-wide signi cance (P < 5 × 10 − 8 ) were extracted; Second, no linkage disequilibrium (LD) (R 2 < 0.001) among the included instrumental variables were conducted; Finally, no effects on other potential risk factors including body mass index, smoking, and blood pressure were related.…”

Section: Glioma Genetic Instrumental Variants (Ivs)mentioning

confidence: 99%

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Mendelian randomization study on the causal effects of glioma on Alzheimer's disease

Zhang

Zeng

Zhu

et al. 2023

Preprint

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Background Previous observational studies have revealed an inverse relationship where cancer patients have a reduced risk to develop Alzheimer’s disease (AD) and vice versa. The present two-sample Mendelian randomization (MR) study aims to identify the causal link between gliomas and AD. Methods The largest gliomas genome-wide association study (GWAS) was used. A previously reported AD GWAS (24,087 cases and 55,058 controls from European ancestry) was used to assess the effect of gliomas on AD. MR-egger_intercept and MR_egger and inverse variance weighted (IVW) in Cochran’s Q-test were used to determine the pleiotropy and heterogeneity, respectively. IVW and weighted median were used to perform MR analysis. Finally, the effect of a single nucleotide polymorphism (SNP) was used to test the SNP bias. Results We did not find a significant pleiotropy or heterogeneity of all three gliomas genetic instrumental variants (IVs) in AD GWAS. Interestingly, we found that as gliomas genetically increased, the risk of AD increased using IVW (odds ratio [OR] = 1.0167, 95% confidence interval [CI] = 1.0079–1.0257, p = 0.0002). This was further proven by weighted median (OR = 1.0161, 95% CI = 1.0058–1.0267, p = 0.0023). Reverse MR analysis shows no causal effect of AD on gliomas. Conclusions Our analysis suggested a causal link between genetically increased gliomas and the increased risk of AD in European ancestries. Thus, gliomas may be a risk factor for AD.

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Section: Glioma Genetic Instrumental Variants (Ivs)mentioning

confidence: 99%

“…The summary about the association of the glioma genetic IVs in AD GWAS dataset is shown in Table 3. [23,25]were used to test the pleiotropy of three independent glioma genetic IVs in the AD GWAS dataset. However, MR-PRESSO test needs to use more than four SNPs.…”

Section: Association Of Glioma Genetic Ivs With Ad Gwas Datasetmentioning

confidence: 99%

Mendelian randomization study on the causal effects of glioma on Alzheimer's disease

Zhang

Zeng

Zhu

et al. 2023

Preprint

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“…For univariate MR analyses, we used five MR methods to analyze the causal effects of TFAs on COVID-19 outcomes, with the inverse variance weighted (IVW) method as the primary MR analysis and MR Egger, weighted median, simple mode, and weighted mode methods as supplements. 27,28 We further used multivariate IVW to assess the independent causal effects of the relevant TFA traits on the COVID-19 outcome. Effect values from MR analyses were presented as odds ratio (OR) values and 95% confidence intervals (CIs).…”

Section: Mr Analysismentioning

confidence: 99%

Association between trans fatty acids and COVID‐19: A multivariate Mendelian randomization study

Liu

Wang

et al. 2023

Journal of Medical Virology

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Traditional observational studies have suggested a potential association between trans fatty acids (TFAs), which are considered to be health-damaging fatty acids, and coronavirus disease 2019 (COVID-19). However, whether there is a causal relationship between them is currently unclear. We aimed to investigate the causal link between genetically determined TFAs and COVID-19. We performed univariate and multivariate Mendelian randomization (MR) studies using summary statistics from the European Pedigree TFAs (n = 8013), COVID-19 susceptibility (n = 159 840), COVID-19 hospitalization (n = 44 986), and COVID-19 severity (n = 18 152) genomewide association studies (GWAS). The inverse variance weighted (IVW) method was used as the primary MR analysis, and several other methods were used as supplements. In univariate MR analysis, higher levels of circulating trans, cis-18:2 TFAs were positively associated with a higher COVID-19 hospitalization rate

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“…Mendelian randomization (MR) study can identify a causal link between an exposure and an outcome using genetic instrumental variables (IVs), independent of many factors that bias observational studies and avoiding the reverse causation (Gao et al, 2022;Wang, 2022a;Wang, 2022b;Xu et al, 2022;Zhou et al, 2022;Zhu et al, 2022aZhu et al, , 2022b. Twin-based heritability estimation (Goodrich et al, 2016;Xie et al, 2016) and increasing microbiome genome-wide association study (GWAS) analyses (Kurilshikov et al, 2021;Liu et al, 2021bLiu et al, , 2022Lopera-Maya et al, 2022;Qin et al, 2022) consistently indicated that host genetics influence the composition of the human gut microbiome and can do so in ways that impact host metabolism.…”

Section: Introductionmentioning

confidence: 99%

Causal link between gut microbiome and schizophrenia: a Mendelian randomization study

Zeng,

Zhang,

Wang

2024

Psychiatric Genetics

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Objective Some observational studies have shown that gut microbiome is significantly changed in patients with schizophrenia. We aim to identify the genetic causal link between gut microbiome and schizophrenia. Methods A two-sample Mendelian randomization (MR) study was used to evaluate the causal link between gut microbiome and schizophrenia with 28 gut microbiome-associated genetic instrumental variants chosen from recent MR reports and the largest schizophrenia genome-wide association studies (8-Apr-22 release). Results Inverse variance weighted method showed that genetically increased Bacteroidales_S24-7 (per SD) resulted in increased risk of schizophrenia (OR = 1.110, 95% CI: [1.012–1.217], P = 0.027). Similarly, genetically increased Prevotellaceae promoted schizophrenia risk (OR = 1.124, 95% CI: [1.030–1.228], P = 0.009). However, genetically increased Lachnospiraceae reduced schizophrenia risk (OR = 0.878, 95% CI: [0.785–0.983], P = 0.023). In addition, schizophrenia risk was also suppressed by genetically increased Lactobacillaceae (OR = 0.878, 95% CI: [0.776–0.994], P = 0.040) and Verrucomicrobiaceae (OR = 0.860, 95% CI: [0.749–0.987], P = 0.032). Finally, we did not find any significant results in the causal association of other 23 gut microbiome with schizophrenia. Conclusion Our analysis suggests that genetically increased Bacteroidales_S24-7 and Prevotellaceae promotes schizophrenia risk, whereas genetically increased Lachnospiraceae, Lactobacillaceae, and Verrucomicrobiaceae reduces schizophrenia risk. Thus, regulation of the disturbed intestinal microbiota may represent a new therapeutic strategy for patients with schizophrenia.

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Mendelian randomization study on the causal effects of COVID‐19 on childhood intelligence

Cited by 18 publications

References 48 publications

Mendelian randomization study on the causal effects of glioma on Alzheimer's disease

Mendelian randomization study on the causal effects of glioma on Alzheimer's disease

Association between trans fatty acids and COVID‐19: A multivariate Mendelian randomization study

Causal link between gut microbiome and schizophrenia: a Mendelian randomization study

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