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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Associations between gut microbiota and three prostate diseases: a bidirectional two-sample Mendelian randomization

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Area of Science:

  • Microbiology
  • Genetics
  • Urology

Background:

  • The gut microbiota's role in prostate diseases remains unclear despite observational evidence.
  • Understanding this link is crucial for advancing prostate health research.

Purpose of the Study:

  • To investigate the causal associations between gut microbiota and prevalent prostate diseases.
  • To identify specific microbial taxa linked to prostatitis and prostate cancer risk.

Main Methods:

  • Utilized two-sample Mendelian randomization (MR) analysis.
  • Integrated gut microbiota data from MiBioGen and prostate disease statistics from FINNGEN and PRACTICAL consortiums.
  • Applied Benjamini-Hochberg (BH) correction for robust findings.

Main Results:

  • Identified 42 nominally significant associations and 2 robust causative links between gut microbiota and prostate diseases.
  • Found a positive correlation between prostatitis risk and the order Gastranaerophilales.
  • Observed an inverse correlation between prostate cancer risk and the class Alphaproteobacteria.

Conclusions:

  • Established potential causal links between specific gut microbiota and prostate diseases.
  • Findings offer novel insights for future mechanistic and clinical investigations into prostate disorders.
  • Highlights the gut microbiome as a potential factor in prostate disease etiology.