The Human Phenotype Ontology in 2017

نویسندگان

  • Sebastian Köhler
  • Nicole Vasilevsky
  • Mark Engelstad
  • Erin Foster
  • Julie McMurry
  • Ségolène Aymé
  • Gareth Baynam
  • Susan M. Bello
  • Cornelius F. Boerkoel
  • Kym M. Boycott
  • Michael Brudno
  • Orion J. Buske
  • Patrick F. Chinnery
  • Valentina Cipriani
  • Laureen E. Connell
  • Hugh J. S. Dawkins
  • Laura E. DeMare
  • Andrew Devereau
  • Bert B. A. de Vries
  • Helen V. Firth
  • Kathleen Freson
  • Daniel Greene
  • Ada Hamosh
  • Ingo Helbig
  • Courtney Hum
  • Johanna Jähn
  • Roger James
  • Roland Krause
  • Stanley J. F. Laulederkind
  • Hanns Lochmüller
  • Gholson J. Lyon
  • Soichi Ogishima
  • Annie Olry
  • Willem Ouwehand
  • Nikolas Pontikos
  • Ana Rath
  • Franz Schaefer
  • Richard H. Scott
  • Michael Segal
  • Panagiotis I. Sergouniotis
  • Richard Sever
  • Cynthia L. Smith
  • Volker Straub
  • Rachel Thompson
  • Catherine Turner
  • Ernest Turro
  • Marijcke W. M. Veltman
  • Tom Vulliamy
  • Jing Yu
  • Julie von Ziegenweidt
  • Andreas Zankl
  • Stephan Züchner
  • Tomasz Zemojtel
  • Julius O. B. Jacobsen
  • Tudor Groza
  • Damian Smedley
  • Chris Mungall
  • Melissa Haendel
  • Peter N. Robinson
چکیده

Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these. These components are being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research. The HPO is being increasingly adopted as a standard for phenotypic abnormalities by diverse groups such as international rare disease organizations, registries, clinical labs, biomedical resources, and clinical software tools and will thereby contribute toward nascent efforts at global data exchange for identifying disease etiologies. This update article reviews the progress of the HPO project since the debut Nucleic Acids Research database article in 2014, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Ontology-Based Approach for Human Activity Recognition from GPS Data

Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researche...

متن کامل

ANTISENSE RNA TO THE TYPE I INSULIN-LIKE GROWTH FACTOR RECEPTOR REVERSED THE TRANSFORMED PHENOTYPE OF PC-3 HUMAN PROSTATE CANCER CELL LINE IN VITRO

The insulin-like growth factor I receptor (IGF-IR) plays an essential role in the establishment and maintenance of transformed phenotype. Interference with the IGF-IR pathway by antisense causes reversal of the transformed phenotype in many rodent and human tumor cell lines. We stably transfected the PC-3 human prostate cancer cell line with an IGF-IR antisense RNA expression plasmid. The ...

متن کامل

PHENOstruct: Prediction of human phenotype ontology terms

The human phenotype ontology (HPO) was recently developed as a standardized vocabulary for describing the phenotype abnormalities associated with human diseases. At present, only a small fraction of human protein coding genes have HPO annotations. But, researchers believe that a large portion of currently unannotated genes are related to disease phenotypes. Therefore, it is important to predict...

متن کامل

Identifying Human Phenotype Terms by Combining Machine Learning and Validation Rules

Named-Entity Recognition is commonly used to identify biological entities such as proteins, genes, and chemical compounds found in scientific articles. The Human Phenotype Ontology (HPO) is an ontology that provides a standardized vocabulary for phenotypic abnormalities found in human diseases. This article presents the Identifying Human Phenotypes (IHP) system, tuned to recognize HPO entities ...

متن کامل

On Improving the Phenotype Acquisition Process Using Semantic Web Technology

The work presented in this paper is framed within the context of the BigMed project, a project funded by the Norwegian Research Council. One of the objectives of BigMed is to enhance the phenotype acquisition process in newborns with a monogenetic disorder, one of the four patient groups studied in the project. The use of the Human Phenotype Ontology (HPO) [1] to tag phenotypes and systems like...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 45  شماره 

صفحات  -

تاریخ انتشار 2017