Bruce Rannala

image of Bruce Rannala



Evolution and Ecology
Center for Population Biology
Genome Center

Offices and Labs

5339 Storer Hall (EVE Office)
+1 530 754 7729


1995 Ph.D. Biological Sciences Yale University
1991 M.Sc. Zoology University of Toronto
1989 B.Sc. Zoology University of British Columbia

Research Interests

Computational evolutionary and population genomics

Research in the group focuses on mathematical aspects of population genetics, phylogenetic inference, and human genetics. Topics of interest include statistical methods for linkage disequilibrium gene mapping and Bayesian phylogenetic inference, as well as more general questions in theoretical population genetics. Topics of current research include the role of hypermutability and mutator phenotypes in cancer genetics, multipoint linkage disequilibrium mapping, and methods for detecting an association between genetic markers and disease in heterogeneous populations. A unifying theme of research in the group is the application of analytic theory and computer simulation to address questions of importance in evolutionary biology and human genetics.


CIHR Peter Lougheed Award (2001)

CBS Grad Group Affiliations

Population Biology
Integrative Genetics and Genomics

Specialties / Focus

Population Biology
  • Molecular Evolution

Graduate Groups not Housed in CBS

Biostatistics, Statistics


Rannala Research Group website


EVE 131 Human Genetic Variation
MCB 10 Intro to Human Heredity


12/1/2012 10:52:37 PM
  • Z. Yang and B. Rannala. 2012. Molecular phylogenetics: principles and practice. Nature Reviews Genetics 13: 303-314.
  • B. Padhukasahasram and B. Rannala. 2011. Bayesian population genomic inference of crossing-over and gene-conversion. Genetics 189: 607-619.
  • Z. Yang and B. Rannala. 2010. Bayesian species delimitation using multilocus sequence data. Proceedings of the National Academy of Sciences USA 107: 9264-9269.
  • Y. Wang and B. Rannala. 2009. Population genomic inference of recombination rates and hotspots. Proceedings of the National Academy of Sciences USA 106: 6210-6214.