PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size
2006

PedGenie: A Tool for Genetic Association Testing in Families

Sample size: 1034 publication 10 minutes Evidence: moderate

Author Information

Author(s): Kristina Allen-Brady, Jathine Wong, Nicola Camp

Primary Institution: University of Utah

Hypothesis

Can PedGenie effectively analyze genetic associations in extended pedigrees?

Conclusion

PedGenie is a valid and flexible tool for genetic association testing that can handle complex family structures.

Supporting Evidence

  • PedGenie provides valid p-value calculations for genetic association tests.
  • A significant association was found between the NBS1 tSNP rs709816 and breast cancer.
  • The study included 462 breast cancer cases and 572 controls.

Takeaway

PedGenie helps scientists study how genes might be linked to diseases by looking at family trees, making it easier to find connections.

Methodology

PedGenie uses Monte Carlo significance testing to analyze genetic markers in pedigrees of any size, allowing for both qualitative and quantitative traits.

Potential Biases

There is a risk of bias due to the relatedness of individuals in the case-control cohort.

Limitations

The study may be limited by the complexity of family structures and the potential for related individuals in the case-control cohort.

Participant Demographics

Participants were selected from 139 high-risk Utah breast cancer families, primarily of Northern and Western European descent.

Statistical Information

P-Value

0.019

Confidence Interval

95% CI = 1.10–2.35

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2105-7-209

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