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Conference Scene: Lessons learned from the 5th Statistical Analysis Workshop of the Pharmacogenetics Research Network
Elizabeth J Atkinson1, Shannon K McDonnell, John S Witte
1Division of Biomedical Statistics and Informatics, Mayo Clinic, MN, USA.
Pharmacogenomics
|March 19, 2010
Summary
The Pharmacogenomics Research Network workshop shared new statistical methods for pharmacogenomics research. Discussions covered variant identification, study designs, and analyzing next-generation sequencing data, highlighting the field's evolution.
Area of Science:
- Pharmacogenomics
- Statistical Genetics
- Bioinformatics
Background:
- The Pharmacogenomics Research Network (PGRN) convenes biennial statistical analysis workshops.
- These workshops facilitate the exchange of novel statistical methodologies and study designs pertinent to pharmacogenomics.
- The 5th PGRN workshop, held April 15, 2009, focused on current research and statistical challenges.
Framework:
- The workshop featured ten contributed talks and a keynote presentation.
- Key topics included the identification of functional genetic variants.
- Discussions also encompassed optimizing statistical power through diverse study designs and pathway analysis.
Implementation:
- A keynote address by Terry Speed addressed statistical considerations for next-generation sequencing (NGS) data.
- Emphasis was placed on the statistical challenges associated with analyzing mRNA sequencing (mRNA-Seq) data.
- Novel applications of Poisson regression models were presented for differentiating biological and technical variation in mRNA read counts.
Implications:
- The workshop underscored the necessity of employing a variety of statistical approaches in pharmacogenomics.
- It highlighted the dynamic and evolving landscape of pharmacogenomics research.
- The findings emphasize the need for continued methodological development in statistical genetics and bioinformatics.
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