Mendelian Randomization Study on the Putative Causal Effects of Omega-3 Fatty Acids on Low Back Pain

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

doi:10.3389/fnut.2022.819635

Cited by 14 publications

(12 citation statements)

References 26 publications

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“…This effect might also arise due to the use of systemic drugs. However, if systemic drugs are associated with glaucoma risk, it might have implications for glaucoma prevention and treatment (31).…”

Section: Discussionmentioning

confidence: 99%

“…The IVW was transformed into a weighted regression of the outcome effects of instrumental variables on exposure effects to obtain an overall estimate of the impact of BMI, WHRadjBMI, WHR and WC on glaucoma risk. Meanwhile, the fixed effect model or random effect model were selected according to the heterogeneity (31,32). The MR-Egger method can still provide unbiased estimators even if pleiotropy exists for all selected instrumental variables.…”

Section: Methodsmentioning

confidence: 99%

“…There is heterogeneity by using Cochran's Q-test (Table 2, P = 0.04). Considering the existence of heterogeneity, we used a random effects model (31) to IVW and we still observed a significant association between WC and glaucoma (OR = 1.32, 95 CI% = 1.34-1.69, P = 0.03 <0.05, Table 1). The impact of each SNP on the results was validated by a Leave-one-out test (Figure 5A).…”

Section: The Causal E Ect Of Wc On Glaucomamentioning

confidence: 98%

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Body shape and risk of glaucoma: A Mendelian randomization

et al. 2022

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BackgroundBody size (BS) is one of the risk factors for the development of many clinical diseases, but the relationship between BS and glaucoma is controversial. Herein, we try to use Mendelian randomization (MR) method to study BS causal association with glaucoma risk from the genetic level.MethodsThe Body Size was determined through anthropometric traits (ATs), such as body mass index (BMI), waist-to-hip ratio adjusted by body mass index (WHRadjBMI), waist-to-hip ratio (WHR), and waist circumference (WC). Association of single nucleotide polymorphisms (SNPs) with each AT and glaucoma were determined individually from the aggregated data of the Genetic Investigation of Anthropometric Traits (GIANT) consortium and the FinnGen study summary data (8,591 cases with glaucoma and 210,201 controls). To explore the role of BS and glaucoma, a two-sample MR analysis was performed on genome-wide association study (GWAS) data. Besides, three MR methods [inverse variance weighted (IVW), Weighted median, and MR-Egger regression] were used to get the whole causal estimate for multiple instrumental SNPs.ResultsBMI (OR = 1.20; 95% CI = 1.02–1.41; P = 0.03) and WC (OR = 1.32; 95% CI =1.04–1.69; P = 0.03) were associated with a risk of glaucoma. Besides, genetically predicted WHRadjBMI (OR = 1.10; 95% CI = 0.88–1.35; P = 0.43) and WHR (OR = 1.22; 95% CI = 0.93–1,572; P = 0.14) were not associated with glaucoma. No heterogeneity and directional pleiotropy were detected.ConclusionThe data of this study revealed that increased BMI and WC are potential risk factors for glaucoma, and WHRadjBMI and WHR are not associated with the occurrence of glaucoma.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: The Causal E Ect Of Wc On Glaucomamentioning

confidence: 98%

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Body shape and risk of glaucoma: A Mendelian randomization

et al. 2022

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“…Using genetic variants independent of many factors that bias observational studies, Mendelian randomization (MR) studies have many advantages in assessing the causal association between an exposure and an outcome. 8 , 9 , 10 , 11 , 12 , 13 Thus, we used a two‐sample MR study to identify the causal genetic link between COVID‐19 and childhood intelligence.…”

Section: Introductionmentioning

confidence: 99%

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

Zhu

Zhou

et al. 2022

Journal of Medical Virology

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Although individuals with coronavirus disease 2019 (COVID‐19) are known to be at increased risk for other conditions resulting from pathogenic changes (including metaplastic or anaplastic) in the lungs and other organs and organ systems, it is still unknown whether COVID‐19 affects childhood intelligence. The present two‐sample Mendelian randomization study aims to identify the genetic causal link between COVID‐19 and childhood intelligence. Four COVID‐19 genetic instrumental variants (IVs) were chosen from the largest genome‐wide association studies (GWAS) for COVID‐19 (hospitalized vs. population) (6406 cases and 902 088 controls of European ancestry). The largest childhood intelligence GWAS ( n = 12 441 individuals of European ancestry) was used to evaluate the effect of the identified COVID‐19‐associated genetic IVs on childhood intelligence. We found that as the genetic susceptibility to COVID‐19 increased, childhood intelligence followed a decreasing trend, according to mr_egger ( β = −0.156; p = 0.601; odds ratio [OR] = 0.856; 95% confidence interval [CI]: 0.522–1.405), simple mode ( β = −0.126; p = 0.240; OR = 0.882; 95% CI: 0.745–1.044), and weighted mode ( β = −0.121; p = 0.226; OR = 0.886; 95% CI: 0.758–1.036) analyses. This trend was further demonstrated by the weighted median ( β = −0.134; p = 0.031; OR = 0.875; 95% CI: 0.774–0.988) and the inverse variance weighted ( β = −0.152; p = 0.004; OR = 0.859; 95% CI: 0.776–0.952). Our analysis suggests a causal link between genetically increased COVID‐19 and decreased childhood intelligence. Thus, COVID‐19 may be a risk factor for declines in childhood intelligence.

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“…On the other hand, large randomized trials, which can provide the best evidence for causation, are expensive and time-consuming. Mendelian randomization (MR) provides an ingenious method for inferring the causal nature of the exposure-outcome relationship by using instrumental variables (IVs), such as single nucleotide polymorphisms (SNPs) ( Gao et al, 2021 ; Zhou et al, 2022 ). Due to the random segregation of alleles at conception, genetic variants are fixed and not affected by environmental risk factors, which minimizes residual confounding and reverse causality.…”

Section: Introductionmentioning

confidence: 99%

Association of insomnia and daytime sleepiness with low back pain: A bidirectional mendelian randomization analysis

Shu

Ping

et al. 2022

Front. Genet.

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Purpose: Observational research has indicated the presence of a causal relationship between sleep disturbances and low back pain (LBP). However, the link may have been biased by confounding factors. The purpose of this study was to examine the potential causal association of insomnia and daytime sleepiness with LBP by using mendelian randomization (MR).Methods: Genome-wide association study (GWAS) summary statistics of insomnia were obtained from a large-scale GWAS meta-analysis (n = 1,331,010; individuals from UK Biobank and 23andMe) or UK Biobank alone (n = 453,379). The summary statistics of daytime sleepiness were from UK Biobank (n = 452,071) and LBP were provided by the FinnGen Release 6 (210,645 individuals with 16,356 LBP cases and 194,289 controls) or UK Biobank (5,423 cases versus 355,771 controls). Linkage disequilibrium score (LDSC) regression and bidirectional MR analysis was employed to estimate genetic correlation and causal relationship. In the MR analysis, the inverse variance weighted method (IVW) was utilized as the main analysis procedure, while MR-Egger, Weighted median and Robust adjusted profile score (RAPS) were utilized for supplementary analyses.Results: LDSC analysis showed that LBP were significantly genetically correlated with insomnia (rg = 0.57, p = 2.26e-25) and daytime sleepiness (rg = 0.18, p = 0.001). The MR analysis revealed that genetically predicted insomnia was significantly associated with an increased risk of LBP (OR = 1.250, 95% CI: 1.186–1.318; p = 1.69e-16). However, the reverse causality was not confirmed. No evidence was identified supporting causality of daytime sleepiness and LBP.Conclusion: This study demonstrates a putative causal link of insomnia on LBP and a null causal effect of LBP on insomnia. Furthermore, a causal link between daytime sleepiness and LBP were not reported. This finding may stimulate new strategies for patient management in clinical practice, benefiting public health.

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Mendelian Randomization Study on the Putative Causal Effects of Omega-3 Fatty Acids on Low Back Pain

Cited by 14 publications

References 26 publications

Body shape and risk of glaucoma: A Mendelian randomization

Body shape and risk of glaucoma: A Mendelian randomization

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

Association of insomnia and daytime sleepiness with low back pain: A bidirectional mendelian randomization analysis

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