Genetic Analysis Workshop 14: Microsatellite and Single-Nucleotide Polymorphism
Author Information
Author(s): 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: National Human Genome Research Institute, National Institutes of Health
Hypothesis
How do microsatellite and SNP markers compare for genome-wide scans in genetic studies?
Conclusion
The workshop highlighted novel methods for analyzing genetic data and emphasized the need for methodological development in this field.
Supporting Evidence
- The workshop served as a forum for introducing novel statistical methods in genetic studies.
- Participants analyzed both real and simulated datasets to compare methodologies.
- Findings emphasized the importance of SNPs and microsatellites in genetic epidemiology.
Takeaway
Scientists from around the world came together to study genes related to alcoholism using different types of genetic markers.
Methodology
Participants analyzed two datasets: one real and one simulated, focusing on statistical methods for genetic epidemiology.
Limitations
The study relied on the availability of datasets and the willingness of participants to engage in the analysis.
Participant Demographics
232 individuals from 14 countries, including investigators from Asia, Australia, Europe, and North America.
Digital Object Identifier (DOI)
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