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Kevin Wilhelm on Muck Rack

Kevin Wilhelm

Berlin
As seen in: Nature, Wiley Online Library, The American Journal of Human Genetics, Middletown Press, Sustainable Brands, Trellis, Texas Medical Center, Impakter, Optical Prism, Sustainability Next
father of 3, Eagles fan, optimist, working to do good at United Way, Christ follower
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Articles

Ultra-rare functional variants reveal early-onset breast cancer risk genes and pathways in the UK Biobank and All of Us Research Program

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By Jennifer Asmussen, Kevin Wilhelm, Kwanghyuk Lee, Chen Wang, Panagiotis Katsonis, Yi Li, Lawrence A. Donehower, Olivier Lichtarge
| The American Journal of Human Genetics Verified
Keywords breast cancer variant impact score ultra-rare variants Evolutionary Action early-onset cancer risk pathway association Get full text access Log in, subscribe or purchase for full access. References 1. Bray, F. ∙ Laversanne, M. ∙ Sung, H. ... Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA Cancer J. Clin. 2024; 74:229-263 2. Rebbeck, T.R. ∙ Mitra, N. ∙ Wan, F. ...
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"Epigenetic Age Acceleration Among Survivors of Pediatric Medulloblasto" by Rachel D Harris, Melissa A Richard et al.

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By Rachel Harris, Melissa Richard, Kevin Wilhelm, Michael E. Scheurer
| Texas Medical Center
Keywords Humans, Medulloblastoma, Neuroectodermal Tumors, Primitive, Central Nervous System Neoplasms, Survivors, Cerebellar Neoplasms, Epigenesis, Genetic, Epigenetics, aging, survivorship, PNET, medulloblastoma Abstract Survivors of childhood central nervous system (CNS) tumors experience early-onset aging-related phenotypes. DNA methylation (DNAm) age is an emerging epigenetic biomarker of physiologic age and may be predictive of chronic health conditions in long-term survivors.
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Genome Interpretation Using In Silico Predictors of Variant Impact

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By Panagiotis Katsonis, Kevin Wilhelm, Amanda Williams, Olivier Lichtarge
| Texas Medical Center
Publication Date 10-1-2022 DOI 10.1007/s00439-022-02457-6 PubMedCentral® Posted Date 4-30-2022 PubMedCentral® Full Text Version Post-print Published Open-Access yes Keywords Computational Biology, Genetic Testing, Genetic Variation, Genome, Human, Humans, Reproducibility of Results Abstract Estimating the effects of variants found in disease driver genes opens the door to personalized therapeutic opportunities.
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