The Biostatistics Core will be responsible for statistical aspects of experimental design and data analysis,and the development of new statistical methods required by Projects 1 and 2. In collaboration with theBioinformatics Core, the Biostatistics Core will design and implement analysis methods and associatedsoftware for use by investigators in the analysis of resequencing and genotype data from the Projects.
The specific aims are: 1) design and implement an integrated approach for data analysis to support the day today data analysis demands of the Projects by developing standardized protocols for the statistical analysis ofboth family-based association studies and case-control studies to maintain adequate statistical power whileproviding appropriate control of Type I error in the face of a potentially large number of tests; 2) developnovel statistical genetics methods and software to meet the specific needs of each of the Projects and theother Cores and in collaboration with the Bioinformatics Core, make these new implementations available tothe research community through the public web interfaces provided by the Bioinformatics Core. TheBiostatistics Core will be directed by Dr Christoph Lange and co-directed by Dr Nan Laird. Drs Lange andLaird are world-renowned statisticians with extensive experience in the development of important newmethodology for statistical genetic analyses, developing and distributing suites of data analysis software, andin the analysis of genetic data sets and disease association studies. They have a well-established trackrecord of highly productive collaboration with each other and with the other investigators assembled for thisproject. The work of the Biostatistics core will contribute to our understanding of genetic and environmentalinfluences in asthma and COPD, two common and important human diseases which display complexpatterns of genetic influences and important effects from environmental exposures. In addition, the work willlead to improvements in statistical genetics methods for complex traits.
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