Mouse Genome-Wide Association Mapping Needs Linkage Analysis to Avoid False-Positive Loci
2009

Genome-Wide Mapping in Mice for Lung Tumor Susceptibility

Sample size: 27 publication 10 minutes Evidence: moderate

Author Information

Author(s): Giacomo Manenti, Antonella Galvan, Angela Pettinicchio, Gaia Trincucci, Elena Spada, Anna Zolin, Silvano Milani, Anna Gonzalez-Neira, Tommaso A. Dragani

Primary Institution: Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy

Hypothesis

Can genome-wide association studies in inbred mouse strains accurately identify loci associated with lung tumor susceptibility?

Conclusion

The study found that genome-wide association studies in mouse inbred strains can yield a high rate of false-positive results, necessitating the use of linkage analysis for accurate locus identification.

Supporting Evidence

  • Only SNP rs3681853 on Chromosome 5 reached statistical significance for spontaneous tumor incidence.
  • Previous loci identified in GWA studies failed to replicate in this study.
  • The Pas1 locus was confirmed through genetic linkage analysis.

Takeaway

Scientists looked at mice to find out what genes might make them more likely to get lung cancer, but they found that many of their results were wrong and needed to double-check with other methods.

Methodology

The study used genome-wide association studies with SNP panels and genetic linkage analysis in intercross populations of mice.

Potential Biases

Potential bias due to the reliance on SNP data and the specific mouse strains used.

Limitations

The study's findings may not be generalizable due to the specific strains and phenotypes analyzed.

Participant Demographics

Inbred mouse strains with varying susceptibility to lung tumors.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pgen.1000331

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