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Home Page for Sebastian Zöllner

Assistant Professor, Department of Biostatistics, Department of Psychiatry,
University of Michigan

Research Interests:

Population Genetics: Human genome variation provides intriguing insights into the evolution of our species and into the biology of heritable traits. My research focuses on developing methods for modeling the stochastic processes generating this variation. Based on these models I make inferences about human population history and develop tools for mapping disease variants.

Copy number variation: Copy number variants (CNVs) are segments of the genome that exist in different copy numbers in the population. As CNVs encompass genes as well as non-coding DNA, they are good candidates for functional variation. I have design methods for competitive genome hybridization (CGH) data and for hybridization intensities in SNP genotype data.

Rare Variants: As it is now possible to generate extensive sequence data for large samples, it may be possible to understand the contribution of rare variants to common complex diseases. I am working on several approaches to address statistical challenges related to this new data.

Genetics of psychiatric diseases: Most psychiatric diseases have high heritability; for example bipolar disorder has a sibling relative risk of 8. Nevertheless, identifying risk variants affecting these diseases has been challenging. I address this challenge by applying modern genetic tools and developing methods to understand the phenotypic heterogeneity of many disorders.

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