National Human Genome Research Institute | National Institutes of Health U.S. Department of Health and Human Services |
Inherited Disease Research Branch
Statistical genetics will become increasingly important in the coming years, particularly given availability of increasing amounts of genomic data being amassed from individuals. Moreover, the rapidly growing number of known single - nucleotide polymorphisms and the planned development of a haplotype map of the entire human genome will give the discipline opportunities - and data - it has never had before. IDRB scientists, therefore, are developing new statistical theories and software to analyze data sets in large-scale genetic association and linkage studies, and they are using these innovative approaches to distinguish genuine genetic influences from random background noise. Co-Chiefs and Senior InvestigatorsJoan E. Bailey-Wilson, Ph.D. Alexander F. Wilson, Ph.D. Charles N. Rotimi, Ph.D. Related Research Project Web SitesGenometric Analysis Simulation Program (GASP) [research.nhgri.nih.gov] Affiliated Research CentersCenter for Inherited Disease Research (CIDR) [cidr.jhmi.edu]
Last Reviewed: January 28, 2009 |