Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
2005

Associations Between Beta 2 EEG Phenotype and Genetic Variants

Sample size: 1074 publication Evidence: moderate

Author Information

Author(s): Roy-Gagnon Marie-Hélène, Mathias Rasika A, Wilson Alexander F

Primary Institution: National Human Genome Research Institute, National Institutes of Health

Hypothesis

Can the regression of offspring on mid-parent method detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype?

Conclusion

Significant associations were found between the beta 2 EEG phenotype and 23 SNPs across multiple chromosomes.

Supporting Evidence

  • Significant associations were detected at the 0.0005 level.
  • Heritability estimates were 0.68 for father-offspring pairs and 0.52 for mother-offspring pairs.
  • 23 SNPs showed significant associations with the beta 2 EEG phenotype.

Takeaway

The study looked at how certain genes might be linked to brain waves related to alcoholism, finding some important connections.

Methodology

The regression of offspring on mid-parent method was used to estimate heritability and test for associations with SNPs.

Potential Biases

Potential bias due to the exclusion of SNPs with low minor allele frequency and those not in Hardy-Weinberg equilibrium.

Limitations

The study focused only on non-Hispanic White subjects, which may limit generalizability.

Participant Demographics

1,074 non-Hispanic White subjects, with 79% of probands and 44% of family members being male.

Statistical Information

P-Value

<0.0005

Confidence Interval

0.68 ± 0.12 for father-offspring pairs, 0.52 ± 0.07 for mother-offspring pairs

Statistical Significance

p<0.0005

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S56

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