Genetic imprinting analysis for alcoholism genes using variance components approach
2005

Genetic Imprinting Analysis for Alcoholism Genes

Sample size: 1614 publication Evidence: high

Author Information

Author(s): Sanjay Shete, Robert Yu

Primary Institution: University of Texas M. D. Anderson Cancer Center

Hypothesis

Can genomic imprinting increase the power to detect genes linked to alcoholism?

Conclusion

Allowing for imprinting in linkage analyses can enhance the detection of genes associated with alcoholism.

Supporting Evidence

  • Significant evidence of imprinting was found at two loci, D7S1790 and D1S1631.
  • The study suggests that traditional linkage analyses may miss important genetic factors due to not accounting for imprinting.
  • The variance-components approach allows for a more accurate analysis of genetic contributions to alcoholism.

Takeaway

This study looked at how genes from parents might affect alcoholism. It found that considering which parent a gene comes from can help find genes linked to alcoholism better.

Methodology

Used a variance-components approach to analyze quantitative traits related to alcoholism.

Limitations

The asymptotic distribution used may not be very accurate, and simulation-based p-values are recommended for confirmation.

Participant Demographics

143 families consisting of a total of 1,614 individuals.

Statistical Information

P-Value

0.00003

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S161

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