Genetic Analysis Workshop 14: Data from the Collaborative Study on the Genetics of Alcoholism
Author Information
Author(s): Howard J Edenberg, Laura J Bierut, Paul Boyce, Manqiu Cao, Simon Cawley, Richard Chiles, Kimberly F Doheny, Mark Hansen, Tony Hinrichs, Kevin Jones, Mark Kelleher, Giulia C Kennedy, Guoying Liu, Gregory Marcus, Celeste McBride, Sarah Shaw Murray, Arnold Oliphant, James Pettengill, Bernice Porjesz, Elizabeth W Pugh, John P Rice, Todd Rubano, Stu Shannon, Rhoberta Steeke, Jay A Tischfield, Ya Yu Tsai, Chun Zhang, Henri Begleiter
Primary Institution: Indiana University School of Medicine
Hypothesis
What are the genetic factors influencing alcohol dependence and related phenotypes?
Conclusion
The study provides a rich dataset for comparing genome surveys using microsatellites and SNPs in the context of alcoholism.
Supporting Evidence
- COGA has provided data to multiple Genetic Analysis Workshops to aid research in alcoholism.
- Over 13,000 individuals have been interviewed to date for the study.
- The study utilized a multidisciplinary approach to understand the genetic basis of alcohol dependence.
Takeaway
This study looks at how genes might make some people more likely to have problems with alcohol. They gathered a lot of information from families to help understand this better.
Methodology
The study involved genotyping a subset of families from the Collaborative Study on the Genetics of Alcoholism using SNPs and microsatellite markers.
Limitations
The results may not be identical to previous analyses due to the selection of a subset of families for genotyping.
Participant Demographics
The study included alcohol-dependent probands and their first-degree relatives, with over 13,000 individuals interviewed.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website