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Full-Text Articles in Medical Genetics
De Novo Frameshift Mutation In Asxl3 In A Patient With Global Developmental Delay, Microcephaly, And Craniofacial Anomalies., Darrell L. Dinwiddie, Sarah E. Soden, Carol J. Saunders, Neil A. Miller, Emily G. Farrow, Laurie D. Smith, Stephen F. Kingsmore
De Novo Frameshift Mutation In Asxl3 In A Patient With Global Developmental Delay, Microcephaly, And Craniofacial Anomalies., Darrell L. Dinwiddie, Sarah E. Soden, Carol J. Saunders, Neil A. Miller, Emily G. Farrow, Laurie D. Smith, Stephen F. Kingsmore
Manuscripts, Articles, Book Chapters and Other Papers
BACKGROUND: Currently, diagnosis of affected individuals with rare genetic disorders can be lengthy and costly, resulting in a diagnostic odyssey and in many patients a definitive molecular diagnosis is never achieved despite extensive clinical investigation. The recent advent and use of genomic medicine has resulted in a paradigm shift in the clinical molecular genetics of rare diseases and has provided insight into the causes of numerous rare genetic conditions. In particular, whole exome and genome sequencing of families has been particularly useful in discovering de novo germline mutations as the cause of both rare diseases and complex disorders.
CASE PRESENTATION: …
An Integrated Clinico-Metabolomic Model Improves Prediction Of Death In Sepsis., Raymond J. Langley, Ephraim L. Tsalik, Jennifer C. Van Velkinburgh, Seth W. Glickman, Brandon J. Rice, Chunping Wang, Bo Chen, Lawrence Carin, Arturo Suarez, Robert P. Mohney, Debra H. Freeman, Mu Wang, Jinsam You, Jacob Wulff, J Will Thompson, M Arthur Moseley, Stephanie Reisinger, Brian T. Edmonds, Brian Grinnell, David R. Nelson, Darrell L. Dinwiddie, Neil A. Miller, Carol J. Saunders, Sarah Soden, Angela J. Rogers, Lee Gazourian, Laura E. Fredenburgh, Anthony F. Massaro, Rebecca M. Baron, Augustine M K Choi, G Ralph Corey, Geoffrey S. Ginsburg, Charles B. Cairns, Ronny M. Otero, Vance G. Fowler, Emanuel P. Rivers, Christopher W. Woods, Stephen F. Kingsmore
An Integrated Clinico-Metabolomic Model Improves Prediction Of Death In Sepsis., Raymond J. Langley, Ephraim L. Tsalik, Jennifer C. Van Velkinburgh, Seth W. Glickman, Brandon J. Rice, Chunping Wang, Bo Chen, Lawrence Carin, Arturo Suarez, Robert P. Mohney, Debra H. Freeman, Mu Wang, Jinsam You, Jacob Wulff, J Will Thompson, M Arthur Moseley, Stephanie Reisinger, Brian T. Edmonds, Brian Grinnell, David R. Nelson, Darrell L. Dinwiddie, Neil A. Miller, Carol J. Saunders, Sarah Soden, Angela J. Rogers, Lee Gazourian, Laura E. Fredenburgh, Anthony F. Massaro, Rebecca M. Baron, Augustine M K Choi, G Ralph Corey, Geoffrey S. Ginsburg, Charles B. Cairns, Ronny M. Otero, Vance G. Fowler, Emanuel P. Rivers, Christopher W. Woods, Stephen F. Kingsmore
Manuscripts, Articles, Book Chapters and Other Papers
Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at hospital admittance who would ultimately die differed markedly from those of patients who would survive. The different profiles of proteins and metabolites clustered into the …