Identifying biases and their potential solutions in human microbiome studies.

Area of Science:

• Microbiology
• Genomics
• Bioinformatics

Background:

• DNA sequencing advances enable human microbiome exploration.
• Microbiome studies reveal health importance but yield inconsistent findings.
• Systemic biases may explain discrepancies in human microbiome research.

Purpose of the Study:

• To identify bias introduction points in sequence-based microbiome studies.
• To review current methods for reducing bias in microbiome research.

Main Methods:

• Literature review of sequence-based microbiome studies.
• Analysis of bias sources throughout the experimental workflow.

Main Results:

• Bias can be introduced at multiple stages, including sample collection and DNA sequencing.
• Observed microbial communities may differ significantly from true compositions due to bias.
• Various strategies are being developed to minimize bias.

Conclusions:

• Addressing systemic biases is crucial for accurate human microbiome research.
• Standardizing methods and developing new techniques can improve reliability.
• Further research is needed to fully mitigate bias in microbiome studies.