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Assessment of predicted enzymatic activity of α-N-acetylglucosaminidase variants of unknown significance for CAGI 2016.
Clark, Wyatt T; Kasak, Laura; Bakolitsa, Constantina; Hu, Zhiqiang; Andreoletti, Gaia; Babbi, Giulia; Bromberg, Yana; Casadio, Rita; Dunbrack, Roland; Folkman, Lukas; Ford, Colby T; Jones, David; Katsonis, Panagiotis; Kundu, Kunal; Lichtarge, Olivier; Martelli, Pier L; Mooney, Sean D; Nodzak, Conor; Pal, Lipika R; Radivojac, Predrag; Savojardo, Castrense; Shi, Xinghua; Zhou, Yaoqi; Uppal, Aneeta; Xu, Qifang; Yin, Yizhou; Pejaver, Vikas; Wang, Meng; Wei, Liping; Moult, John; Yu, Guoying Karen; Brenner, Steven E; LeBowitz, Jonathan H.
Afiliação
  • Clark WT; Human Genetics, BioMarin Pharmaceutical, San Rafael, California.
  • Kasak L; Department of Plant and Microbial Biology, University of California, Berkeley, California.
  • Bakolitsa C; Department of Biomedicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
  • Hu Z; Department of Plant and Microbial Biology, University of California, Berkeley, California.
  • Andreoletti G; Department of Plant and Microbial Biology, University of California, Berkeley, California.
  • Babbi G; Department of Plant and Microbial Biology, University of California, Berkeley, California.
  • Bromberg Y; Biocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
  • Casadio R; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey.
  • Dunbrack R; Biocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
  • Folkman L; Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
  • Ford CT; Machine Learning and Computational Biology Lab, Department of Biosystems Science and Engineering, ETH, Zurich, Switzerland.
  • Jones D; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, North Carolina.
  • Katsonis P; Bioinformatics Group, Department of Computer Science, University College London, London, UK.
  • Kundu K; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Lichtarge O; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland.
  • Martelli PL; Computational Biology, Bioinformatics and Genomics, Biological Sciences Graduate Program, University of Maryland, College Park, Maryland.
  • Mooney SD; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Nodzak C; Department of Biochemistry & Molecular Biology, Baylor College of Medicine, Houston, Texas.
  • Pal LR; Department of Pharmacology, Baylor College of Medicine, Houston, Texas.
  • Radivojac P; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, Texas.
  • Savojardo C; Department of Biomedicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
  • Shi X; Buck Institute for Research on Aging, Novato, California.
  • Zhou Y; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, North Carolina.
  • Uppal A; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland.
  • Xu Q; Department of Computer Science, Indiana University, Bloomington, Indiana.
  • Yin Y; Biocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
  • Pejaver V; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, North Carolina.
  • Wang M; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Wei L; Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, North Carolina.
  • Moult J; Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
  • Yu GK; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland.
  • Brenner SE; Computational Biology, Bioinformatics and Genomics, Biological Sciences Graduate Program, University of Maryland, College Park, Maryland.
  • LeBowitz JH; Department of Computer Science, Indiana University, Bloomington, Indiana.
Hum Mutat ; 40(9): 1519-1529, 2019 09.
Article em En | MEDLINE | ID: mdl-31342580
The NAGLU challenge of the fourth edition of the Critical Assessment of Genome Interpretation experiment (CAGI4) in 2016, invited participants to predict the impact of variants of unknown significance (VUS) on the enzymatic activity of the lysosomal hydrolase α-N-acetylglucosaminidase (NAGLU). Deficiencies in NAGLU activity lead to a rare, monogenic, recessive lysosomal storage disorder, Sanfilippo syndrome type B (MPS type IIIB). This challenge attracted 17 submissions from 10 groups. We observed that top models were able to predict the impact of missense mutations on enzymatic activity with Pearson's correlation coefficients of up to .61. We also observed that top methods were significantly more correlated with each other than they were with observed enzymatic activity values, which we believe speaks to the importance of sequence conservation across the different methods. Improved functional predictions on the VUS will help population-scale analysis of disease epidemiology and rare variant association analysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acetilglucosaminidase / Biologia Computacional / Mutação de Sentido Incorreto Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acetilglucosaminidase / Biologia Computacional / Mutação de Sentido Incorreto Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article