Linkage Analysis of Alcoholism Data
Author Information
Author(s): Heping Zhang, Xiaoyun Zhong, Yuanqing Ye
Primary Institution: Yale University School of Medicine
Hypothesis
Multivariate linkage analysis using several correlated traits may provide greater statistical power to detect susceptibility genes.
Conclusion
The study identified candidate markers associated with alcoholism, particularly on chromosome 4.
Supporting Evidence
- The multivariate analysis found linkage evidence on chromosome 4 around markers GABRB1 and FABP2.
- Previous studies have identified GABRB1 as associated with alcoholism.
- The analysis included 2,457 measurements from 819 individuals.
Takeaway
The researchers looked at how different traits related to alcoholism can help find genes that might cause it, and they found some important markers.
Methodology
The study used a variance-component model to analyze repeated measurements of electrophysiological phenotypes.
Limitations
The multivariate analysis may introduce noise if one phenotype has a strong linkage signal while others do not.
Participant Demographics
The dataset includes 143 nuclear and multigenerational families with a total of 819 individuals.
Statistical Information
P-Value
0.00006
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website