Statistical Genetics

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Statistical geneticists at SPH develop statistical methods for understanding the genetic basis of human diseases and traits.  These methods involve large-scale data sets from candidate-gene, genome-wide and resequencing studies, using both unrelated and related individuals.  SPH statistical geneticists collaborate with other investigators at SPH and around the world on studies of cancer, heart disease, diabetes, respiratory disease, psychiatric disease, and health-related behaviors (e.g. smoking, diet).  They have close ties to the Program in Quantitative Genomics and Computational Biology and Bioinformatics group at SPH.  Training encompasses basic statistics; Mendelian and population genetics; design and analysis of genetic association studies; gene expression and epigenetic markers; and gene-environment interaction.

Students holding a degree in mathematics, computer science, statistics or a related field and an interest in genetics are invited to apply to our Doctoral or Master’s degree programs.  Faculty in the PGSG advise students in both the Epidemiology and Biostatistics departments. Prospective students can apply to either department. While it is possible to apply to both departments, it is typically not recommended. It is Graduate School policy that an individual may submit no more than three applications during the course of his or her academic career. Prospective students are encouraged to discuss which program will best fit their needs with potential advisors. More details about the application process can be found here.

Postdoctoral training positions are also available, with support coming from individual Principal Investigators or appropriate training grants.  Prospective students or postdoctoral fellows with an interest in statistical genetics at SPH should contact Alkes Price.