Leukocyte telomere length and bipolar disorder risk: evidence from Mendelian randomization analysis

Lu, Likui; Zeng, Hongtao; Wan, Bangbei; Sun, Miao

doi:10.7717/peerj.15129

Cited by 2 publications

(2 citation statements)

References 53 publications

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“…Bipolar disorder (BD) is a psychiatric disorder characterised by alternating recurrent episodes of depression and mania, changes in activity levels and associated physical, psychological, cognitive and behavioural abnormalities.BD is a highly heterogeneous disorder of unknown aetiology (McIntyre et al, 2020). BD affects approximately 2% of the world's population and represents a significant global public health burden (Lu et al, 2023). Although the disorder has been extensively studied from the perspectives of disease genetics, behaviour, physiopathology and imaging, no significant advances have been made (Sigitova et al, 2017;Vieta et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Causal effects of gut microbiota on the risk of bipolar disorder: a Mendelian randomization study

Xu,

Liu,

et al. 2023

Front. Microbiomes

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BackgroundRecent studies have suggested a possible association between gut microbiota and bipolar disorder (BD). However, observational studies are limited and there are variations between the gut microbiota taxa found in different studies. Therefore, we aimed to explore whether there is a causal relationship between gut microbiota and bipolar disorder at the genetic level and to reveal trends in the effect of influential gut microbiota on the development of bipolar disorder.MethodsWe conducted a Mendelian randomisation (MR) study of summary statistics from a genome-wide association study (GWAS) of gut microbiota and bipolar disorder. Inverse variance weighting (IVW) was used as the primary method of statistical analysis, while results from the MR-Egger method, weighted median, weighted mode, and MR multiplicity residuals and outliers (MR-PRESSO) tests were used for additional validation.Cochrane’s Q test, MR-Egger intercept test, and MR-PRESSO global test were used to test MR results for stability and reliability.ResultWe identified 13 gut microbial taxa causally associated with bipolar disorder. Betaproteobacteria, Acidaminococcaceae, Eubacterium xylanophilum group, Butyricimonas, Peptococcus, Prevotella 7, Roseburia, Terrisporobacter, Burkholderiales and Desulfovibrionales increased the risk of BD, whereas Candidatus Soleaferrea, Ruminiclostridium 5 and Victivallis decreased the risk of BD. The results of the MR analysis were shown to be reliable in the sensitivity analysis.ConclusionWith the MR study, we analysed the causal relationship between 196 gut microbial taxa and bipolar disorder and also identified gut microbiota associated with the risk of developing bipolar disorder. Our findings provide new biomarkers and potential therapeutic targets for the prevention and treatment of BD.

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Section: Introductionmentioning

confidence: 99%

Causal effects of gut microbiota on the risk of bipolar disorder: a Mendelian randomization study

Xu,

Liu,

et al. 2023

Front. Microbiomes

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“…Typically, single nucleotide polymorphisms (SNPs) are the most commonly used genetic variations. Due to their inherent formation through genetic inheritance and their random distribution across different populations, SNPs are effective in mitigating confounding variables when used as instrumental variables 23,24 . Therefore, the purpose of this study is to employ a two-sample MR approach along with a series of sensitivity analyses to evaluate the causal association between TL and ML.…”

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confidence: 99%

The association between telomere length and malignant lymphoma: A Mendelian randomization Study

Tang,

Li,

2023

Preprint

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There is a growing body of evidence suggesting a close association between telomere length (TL) and the development and progression of cancer. Therefore, the purpose of our study is to explore the potential causal relationship between telomere length and malignant lymphoma (ML). Summary-level data for telomere length and malignant lymphoma data have been retrieved through genome-wide association study (GWAS). Subsequently, A two-sample Mendelian randomization analysis was conducted to assess the causal relationship between TL and ML. The causal effect estimation is achieved primarily by utilizing inverse variance weighting (IVW), with other Mendelian randomization (MR) analysis methods being employed as supplements. A total of 140 single nucleotide polymorphisms (SNPs) with genome-wide significance were identified and employed as instrumental variables (IV) for TL. Based on MR analyses, TL was positively associates with ML,with an odds ratio (OR) of 1.407, 95% confidence interval (CI): 1.126-1.758 and p value of 0.003 as indicated by the IVW method. This result were validated by other complementary MR methods as well. No significant horizontal pleiotropy was observed according to the MR-Egger regression (intercept = -0.006, p = 0.153). The sensitivity analysis confirmed the reliability of the results. This study provides the first evidence of a causal relationship between TL and ML, demonstrating that longer telomere length is associated with a higher risk of malignant lymphoma.

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Leukocyte telomere length and bipolar disorder risk: evidence from Mendelian randomization analysis

Cited by 2 publications

References 53 publications

Causal effects of gut microbiota on the risk of bipolar disorder: a Mendelian randomization study

Causal effects of gut microbiota on the risk of bipolar disorder: a Mendelian randomization study

The association between telomere length and malignant lymphoma: A Mendelian randomization Study

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