Y
Ying Hu
Researcher at National Institutes of Health
Publications - 181
Citations - 17475
Ying Hu is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Cancer & Gene. The author has an hindex of 46, co-authored 156 publications receiving 14842 citations. Previous affiliations of Ying Hu include University of Maryland, Baltimore & Thomas Jefferson University.
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Journal ArticleDOI
Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis.
Tsung-Jung Wu,Lynn M. Schriml,Qing-Rong Chen,Maureen Colbert,Daniel J. Crichton,Richard Finney,Ying Hu,Warren A. Kibbe,Heather Kincaid,Daoud Meerzaman,Elvira Mitraka,Yang Pan,Krista Smith,Sudhir Srivastava,Sari Ward,Cheng Yan,Raja Mazumder +16 more
TL;DR: A DO cancer project is established to be a focused view of cancer terms within the DO and the use of top level terms (DO slims) will enable pan- cancer analysis across datasets generated from any of the cancer term sources where pan-cancer means including or relating to all or multiple types of cancer.
Journal ArticleDOI
Mapping Complex Traits in a Diversity Outbred F1 Mouse Population Identifies Germline Modifiers of Metastasis in Human Prostate Cancer
Jean M. Winter,Derek Gildea,Jonathan Andreas,Daniel M. Gatti,Kendra A. Williams,Minnkyong Lee,Ying Hu,Suiyuan Zhang,James C. Mullikin,Tyra G. Wolfsberg,Shannon K. McDonnell,Zachary C. Fogarty,Melissa C. Larson,Amy J. French,Daniel J. Schaid,Stephen N. Thibodeau,Gary A. Churchill,Nigel P.S. Crawford +17 more
TL;DR: Crossing a dominant, penetrant mouse model of prostate cancer to Diversity Outbred mice demonstrates how well-characterized genetic variation in mice can be harnessed in conjunction with systems genetics approaches to identify and characterize germline modifiers of human disease processes.
Journal ArticleDOI
TCF21 hypermethylation in genetically quiescent clear cell sarcoma of the kidney
Saskia L. Gooskens,Samantha Gadd,Jaime M. Guidry Auvil,Daniela S. Gerhard,Javed Khan,Rajesh Patidar,Daoud Meerzaman,Qing Rong Chen,Chih Hao Hsu,Chunhua Yan,Cu Nguyen,Ying Hu,Charles G. Mullighan,Jing Ma,Lawrence J. Jennings,Ronald R. de Krijger,Marry M. van den Heuvel-Eibrink,Malcolm A. Smith,Nicole Ross,Julie M. Gastier-Foster,Elizabeth J. Perlman +20 more
TL;DR: The hypothesis that hypermethylation of TCF21 and/or decreased TARID expression lies within the pathogenic pathway of most CCSKs is supported.
Journal ArticleDOI
Variants in the Oxidoreductase PYROXD1 Cause Early-Onset Myopathy with Internalized Nuclei and Myofibrillar Disorganization.
Gina L. O'Grady,Gina L. O'Grady,Heather A. Best,Heather A. Best,Tamar E. Sztal,Vanessa Schartner,Myriam Sanjuan-Vazquez,Sandra Donkervoort,Osorio Abath Neto,Roger Bryan Sutton,Biljana Ilkovski,Norma B. Romero,Tanya Stojkovic,Jahannaz Dastgir,Leigh B. Waddell,Anne Boland,Ying Hu,Caitlin Williams,Avnika A. Ruparelia,Thierry Maisonobe,Anthony Peduto,Stephen W. Reddel,Monkol Lek,Monkol Lek,Taru Tukiainen,Taru Tukiainen,Beryl B. Cummings,Beryl B. Cummings,Himanshu Joshi,Juliette Nectoux,Susan Brammah,Jean-François Deleuze,Viola Oorschot Ing,Georg Ramm,D. Ardicli,Kristen J. Nowak,Beril Talim,Haluk Topaloglu,Nigel G. Laing,Kathryn N. North,Kathryn N. North,Daniel G. MacArthur,Daniel G. MacArthur,Sylvie Friant,Nigel F. Clarke,Nigel F. Clarke,Robert J. Bryson-Richardson,Carsten G. Bönnemann,Jocelyn Laporte,Sandra T. Cooper,Sandra T. Cooper +50 more
TL;DR: Variants in the oxidoreductase PYROXD1 are characterized as a cause of early-onset myopathy with distinctive histopathology and altered redox regulation as a primary cause of congenital muscle disease.
Journal ArticleDOI
An integrated systems genetics screen reveals the transcriptional structure of inherited predisposition to metastatic disease
Farhoud Faraji,Ying Hu,Gang Wu,Natalie Goldberger,Renard C. Walker,Jinghui Zhang,Kent W. Hunter +6 more
TL;DR: Network analysis of global gene expression profiles in tumors derived from a panel of recombinant inbred mice is employed to identify a network of co-expressed genes centered on Cnot2 that predicts metastasis-free survival and demonstrates the power of the systems-level approach in identifying modifiers of metastasis.