Medical Specialties Commons^™

Sex Differences In The Genetic Architecture Of Cognitive Resilience To Alzheimer’S Disease, Jaclyn M. Eissman, Logan Dumitrescu, Emily R. Mahoney, Alexandra N. Smith, Shubhabrata Mukherjee, Michael L. Lee, Phoebe Scollard, Seo Eun Choi, William S. Bush, Corinne D. Engelman, Qiongshi Lu, David W. Fardo, Emily H. Trittschuh, Jesse Mez, Catherine C. Kaczorowski, Hector Hernandez Saucedo, Keith F. Widaman, Rachel F. Buckley, Michael J. Properzi, Elizabeth C. Mormino, Hyun Sik Yang, Theresa M. Harrison, Trey Hedden, Kwangsik Nho, Shea J. Andrews, Douglas Tommet, Niran Hadad, R. Elizabeth Sanders, Douglas M. Ruderfer, Katherine A. Gifford, Xiaoyuan Zhong, Neha S. Raghavan, Badri Vardarajan, Margaret A. Pericak-Vance, Lindsay A. Farrer, Li San Wang, Carlos Cruchaga, Gerard D. Schellenberg, Nancy J. Cox, Jonathan L. Haines, C. Dirk Keene, Andrew J. Saykin, Eric B. Larson, Reisa A. Sperling, Richard Mayeux, Michael L. Cuccaro, David A. Bennett, Julie A. Schneider, Paul K. Crane, Angela L. Jefferson, Timothy J. Hohman

Sanders-Brown Center on Aging Faculty Publications

Approximately 30% of elderly adults are cognitively unimpaired at time of death despite the presence of Alzheimer's disease neuropathology at autopsy. Studying individuals who are resilient to the cognitive consequences of Alzheimer's disease neuropathology may uncover novel therapeutic targets to treat Alzheimer's disease. It is well established that there are sex differences in response to Alzheimer's disease pathology, and growing evidence suggests that genetic factors may contribute to these differences. Taken together, we sought to elucidate sex-specific genetic drivers of resilience.

We extended our recent large scale genomic analysis of resilience in which we harmonized cognitive data across four cohorts …

Iam Hiq—A Novel Pair Of Accuracy Indices For Imputed Genotypes, Albert Rosenberger, Viola Tozzi, Heike Bickeböller, Susanne M. Arnold, The Integral-Ilcco Consortium

Markey Cancer Center Faculty Publications

Background: Imputation of untyped markers is a standard tool in genome-wide association studies to close the gap between directly genotyped and other known DNA variants. However, high accuracy with which genotypes are imputed is fundamental. Several accuracy measures have been proposed and some are implemented in imputation software, unfortunately diversely across platforms. In the present paper, we introduce Iam hiQ, an independent pair of accuracy measures that can be applied to dosage files, the output of all imputation software. Iam (imputation accuracy measure) quantifies the average amount of individual-specific versus population-specific genotype information in a linear manner. …