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DataGenno: building a new tool to bridge molecular and clinical genetics

Clinical genetics is one of the most challenging fields in medicine, with thousands of children born every year with congenital defects that have no satisfactory diagnosis. There are more than 6,000 known single-gene disorders that can cause birth defects or diseases in approximately 1 in every 200...

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Autores principales: Costa, Fabricio F, Foly, Luciano S, Coutinho, Marcelo P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681177/
https://www.ncbi.nlm.nih.gov/pubmed/23776366
http://dx.doi.org/10.2147/TACG.S17597
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author Costa, Fabricio F
Foly, Luciano S
Coutinho, Marcelo P
author_facet Costa, Fabricio F
Foly, Luciano S
Coutinho, Marcelo P
author_sort Costa, Fabricio F
collection PubMed
description Clinical genetics is one of the most challenging fields in medicine, with thousands of children born every year with congenital defects that have no satisfactory diagnosis. There are more than 6,000 known single-gene disorders that can cause birth defects or diseases in approximately 1 in every 200 births. Clinical and molecular information on genetic diseases and syndromes are widespread in the literature, and there are few databases combining this information. Therefore, it is very challenging for health care professionals and researchers to translate the latest advances in science and medicine into effective clinical interventions and new treatments. In order to overcome this obstacle and promote networking, we are building DataGenno, an online medical and scientific portal. DataGenno has been developed to be a source of information on genetic diseases and syndromes for the needs of all heath care professionals and researchers. Our database will be able to integrate both clinical and molecular aspects of genetic diseases in a fully interactive environment. DataGenno’s system already contains clinical and molecular information for 300 diseases, with approximately 6,000 signs and symptoms of these diseases in a database combined with a search engine. Our main goal is to cover all genetic diseases described to date, providing not only clinical information such as morphological and anatomical features but also the most comprehensive molecular genetics/genomics features and available testing information. We are also developing ways to connect DataGenno’s portal with Electronic Health Records in order to improve the efficiency of patient care. Additionally, DataGenno’s system and search engine will be able to provide tools that will facilitate the discovery and description of new genetic syndromes. In conclusion, we believe that DataGenno‘s portal will be a helpful and innovative tool for health care professionals, scientists, genetic counselors, and other professionals in the clinical genetics field.
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spelling pubmed-36811772013-06-17 DataGenno: building a new tool to bridge molecular and clinical genetics Costa, Fabricio F Foly, Luciano S Coutinho, Marcelo P Appl Clin Genet Original Research Clinical genetics is one of the most challenging fields in medicine, with thousands of children born every year with congenital defects that have no satisfactory diagnosis. There are more than 6,000 known single-gene disorders that can cause birth defects or diseases in approximately 1 in every 200 births. Clinical and molecular information on genetic diseases and syndromes are widespread in the literature, and there are few databases combining this information. Therefore, it is very challenging for health care professionals and researchers to translate the latest advances in science and medicine into effective clinical interventions and new treatments. In order to overcome this obstacle and promote networking, we are building DataGenno, an online medical and scientific portal. DataGenno has been developed to be a source of information on genetic diseases and syndromes for the needs of all heath care professionals and researchers. Our database will be able to integrate both clinical and molecular aspects of genetic diseases in a fully interactive environment. DataGenno’s system already contains clinical and molecular information for 300 diseases, with approximately 6,000 signs and symptoms of these diseases in a database combined with a search engine. Our main goal is to cover all genetic diseases described to date, providing not only clinical information such as morphological and anatomical features but also the most comprehensive molecular genetics/genomics features and available testing information. We are also developing ways to connect DataGenno’s portal with Electronic Health Records in order to improve the efficiency of patient care. Additionally, DataGenno’s system and search engine will be able to provide tools that will facilitate the discovery and description of new genetic syndromes. In conclusion, we believe that DataGenno‘s portal will be a helpful and innovative tool for health care professionals, scientists, genetic counselors, and other professionals in the clinical genetics field. Dove Medical Press 2011-03-18 /pmc/articles/PMC3681177/ /pubmed/23776366 http://dx.doi.org/10.2147/TACG.S17597 Text en © 2011 Costa et al, publisher and licensee Dove Medical Press Ltd This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Costa, Fabricio F
Foly, Luciano S
Coutinho, Marcelo P
DataGenno: building a new tool to bridge molecular and clinical genetics
title DataGenno: building a new tool to bridge molecular and clinical genetics
title_full DataGenno: building a new tool to bridge molecular and clinical genetics
title_fullStr DataGenno: building a new tool to bridge molecular and clinical genetics
title_full_unstemmed DataGenno: building a new tool to bridge molecular and clinical genetics
title_short DataGenno: building a new tool to bridge molecular and clinical genetics
title_sort datagenno: building a new tool to bridge molecular and clinical genetics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681177/
https://www.ncbi.nlm.nih.gov/pubmed/23776366
http://dx.doi.org/10.2147/TACG.S17597
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