Systematic analysis for the relationship between obesity and tuberculosis

Chachaima-Mar, Jorge; Sánchez-Velazco, Diana; Ugarte-Gil, César

doi:10.1016/j.puhe.2021.03.026

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…In the context of insomnia-tuberculosis relationship, such tuberculosis-relevant traits as body weight, [32,33] body mass index, [32,33] diabetes mellitus (DM), [34,35] alcohol intake, [36] and smoking [36,37] are most likely to be potential and major confounders. To address the second MR assumption, we inquired for each IV and its proxied traits referring to PhenoScannerV2 database (http://www.phenoscanner.medschl.cam.ac.uk/) and removed the IVs arrogating these tuberculosis-relevant traits at a threshold of r 2 > 0.80.…”

Section: Removal Of Confounding and Palindromic Snpsmentioning

confidence: 99%

Causal relationship between insomnia and tuberculosis: A bi-directional Mendelian randomization analysis

Zhang¹,

Zhang²,

Yan³

et al. 2022

Medicine

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Previous observational studies appear to have established a bi-directional association between sleep disorders and tuberculosis. However, their conclusions are prone to be biased by confounding effects and reverse causation due to the nature of observational studies. Mendelian randomization (MR) approach provides unconfounded estimates of causal effects and overcomes the limitations of observational studies. We performed a bi-directional MR analysis to clarify whether there existed a causal effect of insomnia on tuberculosis, or tuberculosis on insomnia. In forward-direction MR, we chose genome-wide significant (P < .5 × 10 -8 ) and independent (r 2 < 0.001) single-nucleotide polymorphisms (SNPs) as instrumental variants (IVs), then extracted effect estimates of these IVs in tuberculosis genome-wide association study (GWAS) dataset to explore causal effect of genetically proxied insomnia on tuberculosis using inverse variance-weighted (IVW), MR-Egger, and weighted median methods. Additionally, we examined robustness and pleiotropy of effect estimates by heterogeneity and sensitivity analysis. Similarly, we investigated causal effect of genetically proxied tuberculosis on insomnia in reverse-direction MR. We revealed no causal relationship between genetically proxied insomnia and tuberculosis using 15 SNPs in forward-direction MR ], P = .410) and reversedirection MR analysis (ORs and P values were not applicable due to no eligible SNPs in GWAS), with insignificant heterogeneity (Q = 22.6, I 2 < 0.001, P = .066) and pleiotropy (intercept = 0.032, SE = 0.057, P = .592) in effect estimates. Our bi-directional MR analysis affirms no causal effect of insomnia on tuberculosis, or tuberculosis on insomnia.

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