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1.
Am J Med Genet A ; 158A(11): 2763-6, 2012 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-22991212

RESUMO

The need for Locus-Specific Databases, with disease-specific experts and curators, is an essential ingredient in a process to enable the benefits of the advances in sequencing and mutational analysis to be realized across the genome. Next generation sequencing provides both astounding opportunities and challenges, especially for genetic counsellors. An approach coordinated at a genome wide, international level, supported by well-organized disease-specific respected organizations is a model most likely to be successful, but committed resourceful professionals working in local poorly resourced environments can make valuable contributions that can grow. Bioinformatic tools to sift and integrate multiple domains of information are being developed, and play a major part in meeting the challenges. Regulation of providers, including a requirement for them to submit mutational information to central databases, also should assist to reach the goals needed to realize the opportunities. There is also a need to agree on governance of Locus-Specific Databases (LSDBs) at an international level, and for adequate international funding to support this need, to ensure humanity reaps the benefits of the current molecular genetic revolution. The Human Variome Project offers this, working also with the other major initiatives with similar objectives. This report concludes with Recommendations for the Human Variome Project stemming from the presentations and discussions at the meeting.


Assuntos
Bases de Dados Genéticas , Biologia Computacional , Mineração de Dados , Loci Gênicos , Variação Genética , Humanos , Medicina de Precisão
2.
Hum Mutat ; 31(3): 366-7, 2010 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-20052753

RESUMO

The May 2009 Human Variome Project (HVP) Forum "Towards Establishing Standards" was a round table discussion attended by delegates from groups representing international efforts aimed at standardizing several aspects of the HVP: mutation nomenclature, description and annotation, clinical ontology, means to better characterize unclassified variants (UVs), and methods to capture mutations from diagnostic laboratories for broader distribution to the medical genetics research community. Methods for researchers to receive credit for their effort at mutation detection were also discussed.


Assuntos
Genoma Humano , Polimorfismo de Nucleotídeo Único , Algoritmos , Análise Mutacional de DNA , Bases de Dados Genéticas , Predisposição Genética para Doença , Variação Genética , Genômica/normas , Humanos , Mutação , Fenótipo , Análise de Sequência de DNA
3.
Hum Mutat ; 30(4): 496-510, 2009 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-19306394

RESUMO

The remarkable progress in characterizing the human genome sequence, exemplified by the Human Genome Project and the HapMap Consortium, has led to the perception that knowledge and the tools (e.g., microarrays) are sufficient for many if not most biomedical research efforts. A large amount of data from diverse studies proves this perception inaccurate at best, and at worst, an impediment for further efforts to characterize the variation in the human genome. Because variation in genotype and environment are the fundamental basis to understand phenotypic variability and heritability at the population level, identifying the range of human genetic variation is crucial to the development of personalized nutrition and medicine. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) was proposed initially to systematically collect mutations that cause human disease and create a cyber infrastructure to link locus specific databases (LSDB). We report here the discussions and recommendations from the 2008 HVP planning meeting held in San Feliu de Guixols, Spain, in May 2008.


Assuntos
Bases de Dados Genéticas , Variação Genética , Genoma Humano/genética , Biologia Computacional/métodos , Biologia Computacional/normas , Predisposição Genética para Doença , Genótipo , Humanos , Disseminação de Informação , Mutação , Fenótipo , Polimorfismo Genético , Espanha
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