Anna Tyler, Ph.D.

Research Scientist

Models gene interactions (epistasis) in model organisms and humans.

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About Anna Tyler, Ph.D.

I am interested in understanding how interactions between genes (epistasis) contribute to the genetic architecture of complex traits. My adviser, Greg Carter, previously developed an analytical method, called the Combined Analysis of Pleiotropy and Epistasis (CAPE), that combines information across multiple phenotypes to constrain possible epistatic models and thereby infer the direction of interaction between genetic variants. I have packaged the analytical pipeline into a freely available R package. CAPE has been used to infer directed epistatic networks in yeast, Drosophila, and mice, and I am currently working to adapt the method for use in human populations. This adaptation will include development of a new software package for detection and interpretation of epistatic interactions in medical genetics.

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Research HighlightDecember 14, 2018
Gene knockdown induces deficits reminiscent of aging and Alzheimer's
JAX researchers find that reducing Hp1bp3 expression mimics age-related cognitive decline through mechanisms reminiscent of aging and Alzheimer's disease
Blog PostDecember 11, 2018
Nesting dolls and Narnia
If movies were true to real life, matryoshka dolls would provide a good analogy for genomics research.
Press ReleaseOctober 24, 2018
Data provides new hope for pediatric brain tumor patients
Using computer models, researchers have identified a potential new therapy that would reduce the long-term side effects of radiation therapy in pediatric brain cancer patients.
Search MagazineOctober 09, 2018
Of mighty mice and men
Pioneering scientist Se-Jin Lee, a leader in the study of muscle development, moves his groundbreaking research program to JAX.

Research HighlightDecember 11, 2018
The unexpected advantages of outbred mice in research
Recently developed outbred mouse populations, such as the diversity outbred (DO) mice at The Jackson Laboratory (JAX), have created research options that parallel or even exceed human genetic diversity. Research with DO mice offers a full range of genetic diversity, and therefore more generalizability of responses across populations.
Research HighlightNovember 08, 2018
Working with uncertainty in cell populations
JAX researchers have developed a new computational algorithm that is capable of modeling the effects of both stochastic gene expression and cell-to-cell variability in a cell population.
Tech CornerOctober 11, 2018
Precision medicine and making sense of data
JAX professor calls for concerted effort to align data across patients and systems with comparable and consistent formats and contextual meaning.
Press ReleaseOctober 09, 2018
Advancing therapeutic gene editing
NIH awards $3.5M to JAX under multi-institution Somatic Cell Genome Editing program.