The Possibility of Systematic Research Fraud Targeting Under-Studied Human Genes: Causes, Consequences, and Potential

Jennifer A Byrne1,2, Natalie Grima1, Amanda Capes-Davis3

  • 1Molecular Oncology Laboratory, Children's Cancer Research Unit, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, Australia.

Biomarker Insights
|February 21, 2019
PubMed

Insights

Biomarker research may be undermined by fraudulent gene knockdown studies. This review highlights a new threat of systematic fraud and proposes methods for detecting these deceptive publications to protect future research.

Area of Science:

  • Biomedical Research
  • Genetics
  • Biomarker Discovery

Background:

  • Biomarker candidate selection often relies on published research, which can be flawed.
  • Inaccurate results, whether unintentional errors or research fraud, can lead to the failure of promising biomarker candidates.
  • The potential for systematic research fraud in biomarker studies, particularly gene knockdown experiments, warrants closer examination.

Purpose of the Study:

  • To identify and discuss the emerging threat of systematic fraud in gene knockdown studies targeting under-studied human genes.
  • To describe the characteristics of fraudulent publications produced in series using a 'theme and variations' model.
  • To propose strategies for detecting and mitigating the impact of fraudulent research on biomarker discovery.

Main Methods:

  • Literature review focusing on fraudulent publication patterns.
  • Analysis of the 'theme and variations' model in serial publication of fraudulent studies.
  • Identification of features that enable fraudulent single-gene knockdown publications to evade detection.

Main Results:

  • A novel threat to biomarker research involves the systematic production of fraudulent gene knockdown studies.
  • Fraudulent papers can be generated in series by paper mills using a 'theme and variations' approach.
  • Specific features of these publications may allow them to bypass scrutiny from editors, peer reviewers, and readers.

Conclusions:

  • Improved awareness of publication series and their characteristics is crucial for detection.
  • Mandatory posting of submitted manuscripts on preprint servers can enhance transparency.
  • Semi-automated literature screening tools can aid in identifying potentially fraudulent studies.
  • Implementing these detection strategies can safeguard the integrity of biomarker research.

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