Literature DB >> 25109851

Phenotyping: targeting genotype's rich cousin for diagnosis.

Gareth Baynam1, Mark Walters, Peter Claes, Stefanie Kung, Peter LeSouef, Hugh Dawkins, Matthew Bellgard, Marta Girdea, Michael Brudno, Peter Robinson, Andreas Zankl, Tudor Groza, David Gillett, Jack Goldblatt.   

Abstract

There are many current and evolving tools to assist clinicians in their daily work of phenotyping. In medicine, the term 'phenotype' is usually taken to mean some deviation from normal morphology, physiology and behaviour. It is ascertained via history, examination and investigations, and a primary aim is diagnosis. Therefore, doctors are, by necessity, expert 'phenotypers'. There is an inherent and partially realised power in phenotypic information that when harnessed can improve patient care. Furthermore, phenotyping developments are increasingly important in an era of rapid advances in genomic technology. Fortunately, there is an expanding network of phenotyping tools that are poised for clinical translation. These tools will preferentially be implemented to mirror clinical workflows and to integrate with advances in genomic and information-sharing technologies. This will synergise with and augment the clinical acumen of medical practitioners. We outline key enablers of the ascertainment, integration and interrogation of clinical phenotype by using genetic diseases, particularly rare ones, as a theme. Successes from the test bed or rare diseases will support approaches to common disease.
© 2014 The Authors. Journal of Paediatrics and Child Health © 2014 Paediatrics and Child Health Division (Royal Australasian College of Physicians).

Entities:  

Keywords:  deep phenotyping; general paediatrics; genetics; international child health; phenotype; precision medicine

Mesh:

Year:  2014        PMID: 25109851     DOI: 10.1111/jpc.12705

Source DB:  PubMed          Journal:  J Paediatr Child Health        ISSN: 1034-4810            Impact factor:   1.954


  12 in total

Review 1.  The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities.

Authors:  Jessica X Chong; Kati J Buckingham; Shalini N Jhangiani; Corinne Boehm; Nara Sobreira; Joshua D Smith; Tanya M Harrell; Margaret J McMillin; Wojciech Wiszniewski; Tomasz Gambin; Zeynep H Coban Akdemir; Kimberly Doheny; Alan F Scott; Dimitri Avramopoulos; Aravinda Chakravarti; Julie Hoover-Fong; Debra Mathews; P Dane Witmer; Hua Ling; Kurt Hetrick; Lee Watkins; Karynne E Patterson; Frederic Reinier; Elizabeth Blue; Donna Muzny; Martin Kircher; Kaya Bilguvar; Francesc López-Giráldez; V Reid Sutton; Holly K Tabor; Suzanne M Leal; Murat Gunel; Shrikant Mane; Richard A Gibbs; Eric Boerwinkle; Ada Hamosh; Jay Shendure; James R Lupski; Richard P Lifton; David Valle; Deborah A Nickerson; Michael J Bamshad
Journal:  Am J Hum Genet       Date:  2015-07-09       Impact factor: 11.025

Review 2.  Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.

Authors:  Hee June Choi; Chuangqi Wang; Xiang Pan; Junbong Jang; Mengzhi Cao; Joseph A Brazzo; Yongho Bae; Kwonmoo Lee
Journal:  Phys Biol       Date:  2021-06-17       Impact factor: 2.959

3.  Rare genetic disease in China: a call to improve clinical services.

Authors:  M Chopra; T Duan
Journal:  Orphanet J Rare Dis       Date:  2015-10-29       Impact factor: 4.123

Review 4.  Why Are Omics Technologies Important to Understanding the Role of Nutrition in Inflammatory Bowel Diseases?

Authors:  Lynnette R Ferguson; Matthew P G Barnett
Journal:  Int J Mol Sci       Date:  2016-10-21       Impact factor: 5.923

Review 5.  Exploring the Underlying Genetics of Craniofacial Morphology through Various Sources of Knowledge.

Authors:  Jasmien Roosenboom; Greet Hens; Brooke C Mattern; Mark D Shriver; Peter Claes
Journal:  Biomed Res Int       Date:  2016-12-08       Impact factor: 3.411

6.  An ontology-aware integration of clinical models, terminologies and guidelines: an exploratory study of the Scale for the Assessment and Rating of Ataxia (SARA).

Authors:  Haitham Maarouf; María Taboada; Hadriana Rodriguez; Manuel Arias; Ángel Sesar; María Jesús Sobrido
Journal:  BMC Med Inform Decis Mak       Date:  2017-12-06       Impact factor: 2.796

7.  Capturing phenotypes for precision medicine.

Authors:  Peter N Robinson; Christopher J Mungall; Melissa Haendel
Journal:  Cold Spring Harb Mol Case Stud       Date:  2015-10

8.  Phelan-McDermid syndrome data network: Integrating patient reported outcomes with clinical notes and curated genetic reports.

Authors:  Cartik Kothari; Maxime Wack; Claire Hassen-Khodja; Sean Finan; Guergana Savova; Megan O'Boyle; Geraldine Bliss; Andria Cornell; Elizabeth J Horn; Rebecca Davis; Jacquelyn Jacobs; Isaac Kohane; Paul Avillach
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-09-01       Impact factor: 3.568

9.  The RD-Connect Registry & Biobank Finder: a tool for sharing aggregated data and metadata among rare disease researchers.

Authors:  Sabina Gainotti; Paola Torreri; Chiuhui Mary Wang; Robert Reihs; Heimo Mueller; Emma Heslop; Marco Roos; Dorota Mazena Badowska; Federico de Paulis; Yllka Kodra; Claudio Carta; Estrella Lopez Martìn; Vanessa Rangel Miller; Mirella Filocamo; Marina Mora; Mark Thompson; Yaffa Rubinstein; Manuel Posada de la Paz; Lucia Monaco; Hanns Lochmüller; Domenica Taruscio
Journal:  Eur J Hum Genet       Date:  2018-02-02       Impact factor: 4.246

Review 10.  Meeting Patients' Right to the Correct Diagnosis: Ongoing International Initiatives on Undiagnosed Rare Diseases and Ethical and Social Issues.

Authors:  Sabina Gainotti; Deborah Mascalzoni; Virginie Bros-Facer; Carlo Petrini; Giovanna Floridia; Marco Roos; Marco Salvatore; Domenica Taruscio
Journal:  Int J Environ Res Public Health       Date:  2018-09-21       Impact factor: 3.390

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