A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking
2005

Study of Genetic Links Between Alcoholism and Smoking

Sample size: 1306 publication Evidence: moderate

Author Information

Author(s): Ye Yuanqing, Zhong Xiaoyun, Zhang Heping, Joan E Bailey-Wilson, Laura Almasy, Mariza de Andrade, Julia Bailey, Heike Bickeböller, Heather J Cordell, E Warwick Daw, Lynn Goldin, Ellen L Goode, Courtney Gray-McGuire, Wayne Hening, Gail Jarvik, Brion S Maher, Nancy Mendell, Andrew D Paterson, John Rice, Glen Satten, Brian Suarez, Veronica Vieland, Marsha Wilcox, Heping Zhang, Andreas Ziegler, Jean W MacCluer

Primary Institution: Yale University School of Medicine

Hypothesis

The study aims to identify genetic factors associated with both alcoholism and smoking.

Conclusion

The analysis identified 37 SNPs associated with alcoholism and smoking, reaffirming the significance of sex differences in alcoholism.

Supporting Evidence

  • The study identified multiple SNPs that are significantly associated with alcoholism.
  • The analysis reaffirmed the importance of sex differences in alcoholism.
  • The methodology used allows for the identification of complex genetic relationships.

Takeaway

This study looked at how genes might connect alcoholism and smoking, finding some important genetic markers that could help us understand these issues better.

Methodology

The study used classification trees and deterministic forests to analyze SNP data from the Collaborative Study on the Genetics of Alcoholism.

Participant Demographics

The study included 1,306 individuals from 1,614 family members, with a focus on sex differences.

Statistical Information

P-Value

0.00001

Statistical Significance

p<0.00001

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S135

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