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4 results on '"Jeremy B. Adams"'

1. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival

Author

Syed H. Zaidi, Tabitha A. Harrison, Amanda I. Phipps, Robert Steinfelder, Quang M. Trinh, Conghui Qu, Barbara L. Banbury, Peter Georgeson, Catherine S. Grasso, Marios Giannakis, Jeremy B. Adams, Elizabeth Alwers, Efrat L. Amitay, Richard T. Barfield, Sonja I. Berndt, Ivan Borozan, Hermann Brenner, Stefanie Brezina, Daniel D. Buchanan, Yin Cao, Andrew T. Chan, Jenny Chang-Claude, Charles M. Connolly, David A. Drew, Alton Brad Farris, Jane C. Figueiredo, Amy J. French, Charles S. Fuchs, Levi A. Garraway, Steve Gruber, Mark A. Guinter, Stanley R. Hamilton, Sophia Harlid, Lawrence E. Heisler, Akihisa Hidaka, John L. Hopper, Wen-Yi Huang, Jeroen R. Huyghe, Mark A. Jenkins, Paul M. Krzyzanowski, Mathieu Lemire, Yi Lin, Xuemei Luo, Elaine R. Mardis, John D. McPherson, Jessica K. Miller, Victor Moreno, Xinmeng Jasmine Mu, Reiko Nishihara, Nickolas Papadopoulos, Danielle Pasternack, Michael J. Quist, Adilya Rafikova, Emma E. G. Reid, Eve Shinbrot, Brian H. Shirts, Lincoln D. Stein, Cherie D. Teney, Lee Timms, Caroline Y. Um, Bethany Van Guelpen, Megan Van Tassel, Xiaolong Wang, David A. Wheeler, Christina K. Yung, Li Hsu, Shuji Ogino, Andrea Gsur, Polly A. Newcomb, Steven Gallinger, Michael Hoffmeister, Peter T. Campbell, Stephen N. Thibodeau, Wei Sun, Thomas J. Hudson, and Ulrike Peters

Subjects
Science
Abstract

Large scale sequencing study is of paramount importance to unravel the heterogeneity of colorectal cancer. Here, the authors sequenced 205 cancer genes in more than 2000 tumours and identified additional mutated driver genes, determined that mutational burden and specific mutations in TP53 are associated with survival odds.

Published
2020
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2. GA4GH: International policies and standards for data sharing across genomic research and healthcare

Author

Heidi L. Rehm, Angela J.H. Page, Lindsay Smith, Jeremy B. Adams, Gil Alterovitz, Lawrence J. Babb, Maxmillian P. Barkley, Michael Baudis, Michael J.S. Beauvais, Tim Beck, Jacques S. Beckmann, Sergi Beltran, David Bernick, Alexander Bernier, James K. Bonfield, Tiffany F. Boughtwood, Guillaume Bourque, Sarion R. Bowers, Anthony J. Brookes, Michael Brudno, Matthew H. Brush, David Bujold, Tony Burdett, Orion J. Buske, Moran N. Cabili, Daniel L. Cameron, Robert J. Carroll, Esmeralda Casas-Silva, Debyani Chakravarty, Bimal P. Chaudhari, Shu Hui Chen, J. Michael Cherry, Justina Chung, Melissa Cline, Hayley L. Clissold, Robert M. Cook-Deegan, Mélanie Courtot, Fiona Cunningham, Miro Cupak, Robert M. Davies, Danielle Denisko, Megan J. Doerr, Lena I. Dolman, Edward S. Dove, L. Jonathan Dursi, Stephanie O.M. Dyke, James A. Eddy, Karen Eilbeck, Kyle P. Ellrott, Susan Fairley, Khalid A. Fakhro, Helen V. Firth, Michael S. Fitzsimons, Marc Fiume, Paul Flicek, Ian M. Fore, Mallory A. Freeberg, Robert R. Freimuth, Lauren A. Fromont, Jonathan Fuerth, Clara L. Gaff, Weiniu Gan, Elena M. Ghanaim, David Glazer, Robert C. Green, Malachi Griffith, Obi L. Griffith, Robert L. Grossman, Tudor Groza, Jaime M. Guidry Auvil, Roderic Guigó, Dipayan Gupta, Melissa A. Haendel, Ada Hamosh, David P. Hansen, Reece K. Hart, Dean Mitchell Hartley, David Haussler, Rachele M. Hendricks-Sturrup, Calvin W.L. Ho, Ashley E. Hobb, Michael M. Hoffman, Oliver M. Hofmann, Petr Holub, Jacob Shujui Hsu, Jean-Pierre Hubaux, Sarah E. Hunt, Ammar Husami, Julius O. Jacobsen, Saumya S. Jamuar, Elizabeth L. Janes, Francis Jeanson, Aina Jené, Amber L. Johns, Yann Joly, Steven J.M. Jones, Alexander Kanitz, Kazuto Kato, Thomas M. Keane, Kristina Kekesi-Lafrance, Jerome Kelleher, Giselle Kerry, Seik-Soon Khor, Bartha M. Knoppers, Melissa A. Konopko, Kenjiro Kosaki, Martin Kuba, Jonathan Lawson, Rasko Leinonen, Stephanie Li, Michael F. Lin, Mikael Linden, Xianglin Liu, Isuru Udara Liyanage, Javier Lopez, Anneke M. Lucassen, Michael Lukowski, Alice L. Mann, John Marshall, Michele Mattioni, Alejandro Metke-Jimenez, Anna Middleton, Richard J. Milne, Fruzsina Molnár-Gábor, Nicola Mulder, Monica C. Munoz-Torres, Rishi Nag, Hidewaki Nakagawa, Jamal Nasir, Arcadi Navarro, Tristan H. Nelson, Ania Niewielska, Amy Nisselle, Jeffrey Niu, Tommi H. Nyrönen, Brian D. O’Connor, Sabine Oesterle, Soichi Ogishima, Vivian Ota Wang, Laura A.D. Paglione, Emilio Palumbo, Helen E. Parkinson, Anthony A. Philippakis, Angel D. Pizarro, Andreas Prlic, Jordi Rambla, Augusto Rendon, Renee A. Rider, Peter N. Robinson, Kurt W. Rodarmer, Laura Lyman Rodriguez, Alan F. Rubin, Manuel Rueda, Gregory A. Rushton, Rosalyn S. Ryan, Gary I. Saunders, Helen Schuilenburg, Torsten Schwede, Serena Scollen, Alexander Senf, Nathan C. Sheffield, Neerjah Skantharajah, Albert V. Smith, Heidi J. Sofia, Dylan Spalding, Amanda B. Spurdle, Zornitza Stark, Lincoln D. Stein, Makoto Suematsu, Patrick Tan, Jonathan A. Tedds, Alastair A. Thomson, Adrian Thorogood, Timothy L. Tickle, Katsushi Tokunaga, Juha Törnroos, David Torrents, Sean Upchurch, Alfonso Valencia, Roman Valls Guimera, Jessica Vamathevan, Susheel Varma, Danya F. Vears, Coby Viner, Craig Voisin, Alex H. Wagner, Susan E. Wallace, Brian P. Walsh, Marc S. Williams, Eva C. Winkler, Barbara J. Wold, Grant M. Wood, J. Patrick Woolley, Chisato Yamasaki, Andrew D. Yates, Christina K. Yung, Lyndon J. Zass, Ksenia Zaytseva, Junjun Zhang, Peter Goodhand, Kathryn North, and Ewan Birney

Subjects
data sharing, data access, precision medicine, learning health system, genomics, standards, Genetics, QH426-470, Internal medicine, RC31-1245
Abstract

Summary: The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic sequencing (along with other genome-wide molecular assays) and increasing evidence of its clinical utility will soon drive the generation of sequence data from tens of millions of humans, with increasing levels of diversity. In this perspective, we present the GA4GH strategies for addressing the major challenges of this data revolution. We describe the GA4GH organization, which is fueled by the development efforts of eight Work Streams and informed by the needs of 24 Driver Projects and other key stakeholders. We present the GA4GH suite of secure, interoperable technical standards and policy frameworks and review the current status of standards, their relevance to key domains of research and clinical care, and future plans of GA4GH. Broad international participation in building, adopting, and deploying GA4GH standards and frameworks will catalyze an unprecedented effort in data sharing that will be critical to advancing genomic medicine and ensuring that all populations can access its benefits.

Published
2021
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3. Lineage-specific mutational clustering in protein structures predicts evolutionary shifts in function

Author

Daniel Richard, Andrew C. Doxey, Michael J. Mansfield, and Jeremy B. Adams

Subjects
0301 basic medicine, Statistics and Probability, Protein family, Protein Conformation, Biology, Biochemistry, Protein–protein interaction, Evolution, Molecular, 03 medical and health sciences, Protein structure, Animals, Cluster analysis, Molecular Biology, Transcription factor, Phylogeny, Genetics, Phylogenetic tree, Substitution (logic), Computational Biology, Proteins, Plants, Computer Science Applications, Computational Mathematics, 030104 developmental biology, Computational Theory and Mathematics, Evolutionary biology, Mutation, Vertebrates, Software, Function (biology)
Abstract

Motivation Spatially clustered mutations within specific regions of protein structure are thought to result from strong positive selection for altered protein functions and are a common feature of oncoproteins in cancer. Although previous studies have used spatial substitution clustering to identify positive selection between pairs of proteins, the ability of this approach to identify functional shifts in protein phylogenies has not been explored. Results We implemented a previous measure of spatial substitution clustering (the P3D statistic) and extended it to detect spatially clustered substitutions at specific branches of phylogenetic trees. We then applied the analysis to 423 690 phylogenetic branches from 9261 vertebrate protein families, and examined its ability to detect historical shifts in protein function. Our analysis identified 19 607 lineages from 5362 protein families in which substitutions were spatially clustered on protein structures at P3D Availability and Implementation Source code and predictions for analyses performed in this study are available at: https://github.com/doxeylab/evoclust3d Supplementary information Supplementary data are available at Bioinformatics online.

Published
2017

4. Botulinum neurotoxin homologs in non-Clostridium species

Author

Jeremy B. Adams, Michael J. Mansfield, and Andrew C. Doxey

Subjects
Weissella, Botulinum Toxins, Gene Transfer, Horizontal, medicine.medical_treatment, Molecular Sequence Data, Biophysics, Biology, Biochemistry, Genome, Microbiology, Evolution, Molecular, 03 medical and health sciences, Clostridium, Tetanus Toxin, Structural Biology, Genetics, medicine, Botulism, Molecular Biology, Gene, 030304 developmental biology, 0303 health sciences, Protease, Clostridial neurotoxin, 030302 biochemistry & molecular biology, food and beverages, Cell Biology, biology.organism_classification, medicine.disease, Lateral gene transfer, Protein Structure, Tertiary, Open reading frame, Multigene Family, Horizontal gene transfer, Botulinum neurotoxin, Toxin
Abstract

Clostridial neurotoxins (CNTs) are the deadliest toxins known and the causative agents of botulism and tetanus. Despite their structural and functional complexity, no CNT homologs are currently known outside Clostridium. Here, we report the first homologs of Clostridium CNTs within the genome of the rice fermentation organism Weissella oryzae SG25. One gene in W. oryzae S25 encodes a protein with a four-domain architecture and HExxH protease motif common to botulinum neurotoxins (BoNTs). An adjacent gene with partial similarity to CNTs is also present, and both genes seem to have been laterally transferred into the W. oryzae genome from an unknown source. Identification of mobile, CNT-related genes outside of Clostridium has implications for our understanding of the evolution of this important toxin family.

Published
2014

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