Aging is perhaps the most complex phenotype, and it is likely that there are multiple genetic and environmental contributors to longevity. Longevity-related data are challenging to analyze and require state of- the-art statistical methods. The primary activities of the Biostatistics and Bioinformatics Core (Core C) are to help with research conceptualization and planning, and support of statistical analyses. During the current funding period, the Biostatistics and Bioinformatics Core has provided advice and analytic support to investigators. Before-study consultation was provided to ensure appropriate design, and after-study statistical services included data analysis and consultation on interpretation of results. The core aided investigators in writing up their results, resulting in several collaborative manuscripts. The Biostatistics and Bioinformatics Core also developed the web-based database for the program investigators and utilized the database to facilitate interactions and interchange of research ideas among the investigators in order to foster new directions.
The specific aims of the Biostatistics and Bioinformatics Core are to: (1) coordinate and manage statistical activities in the overall program to ensure that investigators have ready access to statistical consultation and support;(2) provide statistical expertise for the design of new studies, including endpoint definition, sample size and power calculations, randomization procedures, data collection, plans for report generation, interim reviews, and final statistical analysis for all subprojects;(3) provide expertise in database development and management, develop data mining tools, and coordinate databases for data sharing among the projects/cores and with the scientific community;and (4) develop statistical approaches for novel experimental designs and statistical analyses. Methods to be developed will be, to the greatest extent possible, tailored to the needs of not only investigators involved in the overall program, but also the scientific community.
The resistance of She knockout mice to obesity, diabetes and stress recommend them as model for healthy aging. The relevance of this core is to provide properly envisioned, well-designed and valid statistical analyses of properties of She knockout mice in order to translate their healthy features to the human condition.
| Roberts, Megan N; Wallace, Marita A; Tomilov, Alexey A et al. (2018) A Ketogenic Diet Extends Longevity and Healthspan in Adult Mice. Cell Metab 27:1156 |
| Penna, Elisa; Espino, Javier; De Stefani, Diego et al. (2018) The MCU complex in cell death. Cell Calcium 69:73-80 |
| Pallafacchina, Giorgia; Zanin, Sofia; Rizzuto, Rosario (2018) Recent advances in the molecular mechanism of mitochondrial calcium uptake. F1000Res 7: |
| McMackin, Marissa Z; Henderson, Chelsea K; Cortopassi, Gino A (2017) Neurobehavioral deficits in the KIKO mouse model of Friedreich's ataxia. Behav Brain Res 316:183-188 |
| Taylor, Sandra L; Ruhaak, L Renee; Kelly, Karen et al. (2017) Effects of imputation on correlation: implications for analysis of mass spectrometry data from multiple biological matrices. Brief Bioinform 18:312-320 |
| Jasoliya, Mittal J; McMackin, Marissa Z; Henderson, Chelsea K et al. (2017) Frataxin deficiency impairs mitochondrial biogenesis in cells, mice and humans. Hum Mol Genet 26:2627-2633 |
| Song, Lanying; Yu, Alfred; Murray, Karl et al. (2017) Bipolar cell reduction precedes retinal ganglion neuron loss in a complex 1 knockout mouse model. Brain Res 1657:232-244 |
| Roberts, Megan N; Wallace, Marita A; Tomilov, Alexey A et al. (2017) A Ketogenic Diet Extends Longevity and Healthspan in Adult Mice. Cell Metab 26:539-546.e5 |
| Taylor, Sandra L; Ruhaak, L Renee; Weiss, Robert H et al. (2017) Multivariate two-part statistics for analysis of correlated mass spectrometry data from multiple biological specimens. Bioinformatics 33:17-25 |
| Hayashi, Genki; Jasoliya, Mittal; Sahdeo, Sunil et al. (2017) Dimethyl fumarate mediates Nrf2-dependent mitochondrial biogenesis in mice and humans. Hum Mol Genet 26:2864-2873 |
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