Polygenic risk scores: a biased prediction? by Francisco M. De La Vega, Carlos D. Bustamante

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Identifying selected regions from heterozygosity and divergence using a light-coverage genomic dataset from two human populations. by Taras K Oleksyk, Kai Zhao, Francisco M De La Vega, Dennis A Gilbert, Stephen J O'Brien, Michael W Smith

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The transcriptomes of two heritable cell types illuminate the circuit governing their differentiation. by Brian B Tuch, Quinn M Mitrovich, Oliver R Homann, Aaron D Hernday, Cinna K Monighetti, Francisco M De La Vega, Alexander D Johnson

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Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African anc... by Minoru Miyashita, Joshua S. K. Bell, Stephane Wenric, Ezgi Karaesmen, Brooke Rhead, Matthew Kase, Kristiyana Kaneva, Francisco M. De La Vega, Yonglan Zheng, Toshio F. Yoshimatsu, Galina Khramtsova, Fang Liu, Fangyuan Zhao, Frederick M. Howard, Rita Nanda, Nike Beaubier, Kevin P. White, Dezheng Huo, Olufunmilayo I. Olopade

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Tumor transcriptome sequencing reveals allelic expression imbalances associated with copy number alterations. by Brian B Tuch, Rebecca R Laborde, Xing Xu, Jian Gu, Christina B Chung, Cinna K Monighetti, Sarah J Stanley, Kerry D Olsen, Jan L Kasperbauer, Eric J Moore, Adam J Broomer, Ruoying Tan, Pius M Brzoska, Matthew W Muller, Asim S Siddiqui, Yan W Asmann, Yongming Sun, Scott Kuersten, Melissa A Barker, Francisco M De La Vega, David I Smith

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Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases by Francisco M. De La Vega, Shimul Chowdhury, Barry Moore, Erwin Frise, Jeanette McCarthy, Edgar Javier Hernandez, Terence Wong, Kiely James, Lucia Guidugli, Pankaj B. Agrawal, Casie A. Genetti, Catherine A. Brownstein, Alan H. Beggs, Britt-Sabina Löscher, Andre Franke, Braden Boone, Shawn E. Levy, Katrin Õunap, Sander Pajusalu, Matt Huentelman, Keri Ramsey, Marcus Naymik, Vinodh Narayanan, Narayanan Veeraraghavan, Paul Billings, Martin G. Reese, Mark Yandell, Stephen F. Kingsmore

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An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases by Mallory J. Owen, Sebastien Lefebvre, Christian Hansen, Chris M. Kunard, David P. Dimmock, Laurie D. Smith, Gunter Scharer, Rebecca Mardach, Mary J. Willis, Annette Feigenbaum, Anna-Kaisa Niemi, Yan Ding, Luca Van Der Kraan, Katarzyna Ellsworth, Lucia Guidugli, Bryan R. Lajoie, Timothy K. McPhail, Shyamal S. Mehtalia, Kevin K. Chau, Yong H. Kwon, Zhanyang Zhu, Sergey Batalov, Shimul Chowdhury, Seema Rego, James Perry, Mark Speziale, Mark Nespeca, Meredith S. Wright, Martin G. Reese, Francisco M. De La Vega, Joe Azure, Erwin Frise, Charlene Son Rigby, Sandy White, Charlotte A. Hobbs, Sheldon Gilmer, Gail Knight, Albert Oriol, Jerica Lenberg, Shareef A. Nahas, Kate Perofsky, Kyu Kim, Jeanne Carroll, Nicole G. Coufal, Erica Sanford, Kristen Wigby, Jacqueline Weir, Vicki S. Thomson, Louise Fraser, Seka S. Lazare, Yoon H. Shin, Haiying Grunenwald, Richard Lee, David Jones, Duke Tran, Andrew Gross, Patrick Daigle, Anne Case, Marisa Lue, James A. Richardson, John Reynders, Thomas Defay, Kevin P. Hall, Narayanan Veeraraghavan, Stephen F. Kingsmore

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