Molecular bias

Area of Science:

• Epidemiology
• Molecular Biology
• Research Integrity

Background:

• Bias is a pervasive issue in scientific research.
• The molecular era offers unprecedented opportunities to empirically study bias using large datasets.
• Traditional epidemiological methods often rely on theoretical constructs rather than empirical evidence of bias.

Purpose of the Study:

• To discuss empirical evidence of bias manifestations in molecular epidemiology.
• To highlight how bias affects the translation and replication of molecular knowledge.
• To explore the transferability of insights on bias from molecular to traditional research fields.

Main Methods:

• Analysis of large-scale empirical data from the molecular era.
• Examination of bias as heterogeneity and deviation from true estimates.
• Review of case studies illustrating bias in molecular epidemiology.

Main Results:

• Bias frequently manifests as heterogeneity or deviation, impacting study validity.
• Failures in translating molecular knowledge and replicating findings are hallmarks of bias.
• Established effect sizes in many fields may primarily reflect accumulated bias.

Conclusions:

• Empirical data from the molecular era provides robust evidence of bias.
• Understanding bias is crucial for improving credibility, replication, and etiological inference in epidemiology.
• Addressing past false claims is as vital as generating new discoveries.