Literature DB >> 16143016

Mapping phenotypes to language: a proposal to organize and standardize the clinical descriptions of malformations.

L G Biesecker1.   

Abstract

Recent developments in molecular biology have markedly speeded the processes involved in determining the molecular etiology of human Mendelian disorders. Nowhere are these changes more evident than in the field that is variously termed molecular dysmorphology, human morphogenesis, or human developmental biology. In contrast to the rapid changes in molecular genetics analysis, the processes and approaches of the clinical component of molecular dysmorphology have not changed substantially, and clinical analysis is therefore becoming relatively slower than molecular discovery. If clinical discovery is to maintain its deserved position at the forefront of human genetics research, new methods must be developed to acquire, archive, and analyze these data. The limitations of current phenotyping, specifically, the limitations of the collection and archiving of clinical data in medical journal case reports and case series manuscripts are demonstrated. Several provocative approaches that have been proposed to advance the field of clinical analysis are reviewed. Lastly, a specific proposal for a system of clinical analysis and archiving of data on human pleiotropic developmental anomaly syndromes is proposed to address these limitations.

Entities:  

Mesh:

Year:  2005        PMID: 16143016     DOI: 10.1111/j.1399-0004.2005.00509.x

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  12 in total

Review 1.  Computational approaches to phenotyping: high-throughput phenomics.

Authors:  Yves A Lussier; Yang Liu
Journal:  Proc Am Thorac Soc       Date:  2007-01

Review 2.  The use of 3D face shape modelling in dysmorphology.

Authors: 
Journal:  Arch Dis Child       Date:  2007-12       Impact factor: 3.791

Review 3.  Polydactyly: how many disorders and how many genes? 2010 update.

Authors:  Leslie G Biesecker
Journal:  Dev Dyn       Date:  2011-03-28       Impact factor: 3.780

4.  The biological coherence of human phenome databases.

Authors:  Martin Oti; Martijn A Huynen; Han G Brunner
Journal:  Am J Hum Genet       Date:  2009-12       Impact factor: 11.025

5.  Systematic genotype-phenotype analysis of autism susceptibility loci implicates additional symptoms to co-occur with autism.

Authors:  Jacobine E Buizer-Voskamp; Lude Franke; Wouter G Staal; Emma van Daalen; Chantal Kemner; Roel A Ophoff; Jacob As Vorstman; Herman van Engeland; Cisca Wijmenga
Journal:  Eur J Hum Genet       Date:  2009-11-25       Impact factor: 4.246

6.  Bioinformatics methods for identifying candidate disease genes.

Authors:  Marc A van Driel; Han G Brunner
Journal:  Hum Genomics       Date:  2006-06       Impact factor: 4.639

7.  An introduction to standardized clinical nomenclature for dysmorphic features: the Elements of Morphology project.

Authors:  Leslie G Biesecker
Journal:  BMC Med       Date:  2010-10-04       Impact factor: 8.775

8.  A computational method based on the integration of heterogeneous networks for predicting disease-gene associations.

Authors:  Xingli Guo; Lin Gao; Chunshui Wei; Xiaofei Yang; Yi Zhao; Anguo Dong
Journal:  PLoS One       Date:  2011-09-02       Impact factor: 3.240

9.  Mapping gene associations in human mitochondria using clinical disease phenotypes.

Authors:  Curt Scharfe; Henry Horng-Shing Lu; Jutta K Neuenburg; Edward A Allen; Guan-Cheng Li; Thomas Klopstock; Tina M Cowan; Gregory M Enns; Ronald W Davis
Journal:  PLoS Comput Biol       Date:  2009-04-24       Impact factor: 4.475

10.  Network-based global inference of human disease genes.

Authors:  Xuebing Wu; Rui Jiang; Michael Q Zhang; Shao Li
Journal:  Mol Syst Biol       Date:  2008-05-06       Impact factor: 11.429

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