A genome-wide linkage analysis of alcoholism on microsatellite and single-nucleotide polymorphism data, using alcohol dependence phenotypes and electroencephalogram measures
2005

Linkage Analysis of Alcoholism Genes

Sample size: 1350 publication Evidence: moderate

Author Information

Author(s): Zhang Chun, Cawley Simon, Liu Guoying, Cao Manqiu, Gorrell Harley, Kennedy Giulia C

Primary Institution: Affymetrix

Hypothesis

Can genome-wide linkage analysis identify genes associated with alcoholism using various genetic markers?

Conclusion

The study found significant chromosomal regions associated with alcohol dependence phenotypes using SNPs and microsatellites.

Supporting Evidence

  • Significant linkage was found on chromosome 7 for alcohol dependence phenotype ALDX1.
  • Combining SNP data from Affymetrix and Illumina improved the resolution of linkage results.
  • Microsatellites were less effective than SNPs in detecting linkage regions.

Takeaway

Researchers looked at DNA from many families to find genes that might make people more likely to have problems with alcohol. They found some important areas in the DNA that are linked to these issues.

Methodology

Genome-wide linkage analysis using microsatellites and SNPs on a dataset from the Collaborative Study on the Genetics of Alcoholism.

Potential Biases

Potential biases may arise from the selection of families and the phenotypes used for analysis.

Limitations

The study's reliance on specific genetic markers may limit the generalizability of the findings.

Participant Demographics

Data from 1,350 participants across 143 families.

Statistical Information

P-Value

0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S17

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