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Ebbert, Mark T W

0000-0001-9158-4440

Mayo Clinic

Department of Neuroscience, Mayo Clinic, Jacksonville, FL.

Citations 3

Common DNA Variants Accurately Rank an Individual of Extreme Height
Sexton, Corinne E. , Ebbert, Mark , Miller, R.H. , Ferrel, Meganne , Tschanz, Jo Ann T., Corcoran, Christopher, Initiative, Alzheimer’s Disease Neuroimaging, Ridge, Perry G. , Kauwe, John S. K. , Ebbert, Mark T W , Miller, Ryan H.

International Journal of Genomics | September 4, 2018 | Volume: 2018 | Issue: No issue available | Pages: 1-7

10.1155/2018/5121540 Get It

Polygenic scores (or genetic risk scores) quantify the aggregate of small effects from many common genetic loci that have been associated with a trait through genome-wide association. Polygenic scores were first used successfully in schizophrenia and have since been applied to multiple phenotypes including multiple sclerosis, rheumatoid arthritis, and height. Because human height is an easily-measured and complex polygenic trait, polygenic height scores provide exciting insights into the predictability of aggregate common variant effect on the phenotype. Shawn Bradley is an extremely tall former professional basketball player from Brigham Young University and the National Basketball Association (NBA), measuring 2.29 meters (7 ′ 6 ″ , 99.99999th percentile for height) tall, with no known medical conditions. Here, we present a case where a rare combination of common SNPs in one individual results in an extremely high polygenic height score that is correlated with an extreme phenotype. While polygenic scores are not clinically significant in the average case, our findings suggest that for extreme phenotypes, polygenic scores may be more successful for the prediction of individuals.
Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau
Kang, Silvia S. , Ebbert, Mark , Baker, Kelsey E., Cook, Casey , Wang, Xuewei , Sens, Jonathon , Kocher, Jeanne-Pierre, Petrucelli, Leonard , Fryer, John Denis , Ebbert, Mark T W , Sens, Jonathon P, Fryer, John D

Journal of Experimental Medicine | August 6, 2018 | Volume: 215 | Issue: 9 | Pages: 2235-2245

10.1084/jem.20180653 Get It

Alzheimer’s disease (AD) is an age-associated neurodegenerative disease characterized by amyloidosis, tauopathy, and activation of microglia, the brain resident innate immune cells. We show that a RiboTag translational profiling approach can bypass biases due to cellular enrichment/cell sorting. Using this approach in models of amyloidosis, tauopathy, and aging, we revealed a common set of alterations and identified a central APOE-driven network that converged on CCL3 and CCL4 across all conditions. Notably, aged females demonstrated a significant exacerbation of many of these shared transcripts in this APOE network, revealing a potential mechanism for increased AD susceptibility in females. This study has broad implications for microglial transcriptomic approaches and provides new insights into microglial pathways associated with different pathological aspects of aging and AD.