Literature DB >> 23962721

Databases of genomic variation and phenotypes: existing resources and future needs.

Jennifer J Johnston, Leslie G Biesecker.   

Abstract

Massively parallel sequencing (MPS) has become an important tool for identifying medically significant variants in both research and the clinic. Accurate variation and genotype-phenotype databases are critical in our ability to make sense of the vast amount of information that MPS generates. The purpose of this review is to summarize the state of the art of variation and genotype-phenotype databases, how they can be used, and opportunities to improve these resources. Our working assumption is that the objective of the clinical genomicist is to identify highly penetrant variants that could explain existing disease or predict disease risk for individual patients or research participants. We have detailed how current databases contribute to this goal providing frequency data, literature reviews and predictions of causation for individual variants. For variant annotation, databases vary greatly in their ease of use, the use of standard mutation nomenclature, the comprehensiveness of the variant cataloging and the degree of expert opinion. Ultimately, we need a dynamic and comprehensive reference database of medically important variants that is easily cross referenced to exome and genome sequence data and allows for an accumulation of expert opinion.

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Year:  2013        PMID: 23962721      PMCID: PMC3782073          DOI: 10.1093/hmg/ddt384

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  7 in total

1.  dbSNP: the NCBI database of genetic variation.

Authors:  S T Sherry; M H Ward; M Kholodov; J Baker; L Phan; E M Smigielski; K Sirotkin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Predicting deleterious amino acid substitutions.

Authors:  P C Ng; S Henikoff
Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

3.  LOVD v.2.0: the next generation in gene variant databases.

Authors:  Ivo F A C Fokkema; Peter E M Taschner; Gerard C P Schaafsma; J Celli; Jeroen F J Laros; Johan T den Dunnen
Journal:  Hum Mutat       Date:  2011-02-22       Impact factor: 4.878

4.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

5.  Automated inference of molecular mechanisms of disease from amino acid substitutions.

Authors:  Biao Li; Vidhya G Krishnan; Matthew E Mort; Fuxiao Xin; Kishore K Kamati; David N Cooper; Sean D Mooney; Predrag Radivojac
Journal:  Bioinformatics       Date:  2009-09-03       Impact factor: 6.937

6.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

7.  The Human Gene Mutation Database: 2008 update.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Howells; Andrew D Phillips; Nick St Thomas; David N Cooper
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

  7 in total
  28 in total

Review 1.  Human genotype-phenotype databases: aims, challenges and opportunities.

Authors:  Anthony J Brookes; Peter N Robinson
Journal:  Nat Rev Genet       Date:  2015-11-10       Impact factor: 53.242

Review 2.  Computational approaches to study the effects of small genomic variations.

Authors:  Kamil Khafizov; Maxim V Ivanov; Olga V Glazova; Sergei P Kovalenko
Journal:  J Mol Model       Date:  2015-09-08       Impact factor: 1.810

3.  Clinical Variant Classification: A Comparison of Public Databases and a Commercial Testing Laboratory.

Authors:  William Gradishar; KariAnne Johnson; Krystal Brown; Erin Mundt; Susan Manley
Journal:  Oncologist       Date:  2017-04-13

4.  Teaching genomic counseling: preparing the genetic counseling workforce for the genomic era.

Authors:  Gillian W Hooker; Kelly E Ormond; Kevin Sweet; Barbara B Biesecker
Journal:  J Genet Couns       Date:  2014-02-08       Impact factor: 2.537

5.  Enhancing the incidental pipeline in genomic sequencing.

Authors:  B D Solomon
Journal:  Mol Syndromol       Date:  2014-01-23

6.  Pragmatic and Ethical Challenges of Incorporating the Genome into the Electronic Medical Record.

Authors:  Adam A Nishimura; Peter Tarczy-Hornoch; Brian H Shirts
Journal:  Curr Genet Med Rep       Date:  2014-12-01

Review 7.  Living laboratory: whole-genome sequencing as a learning healthcare enterprise.

Authors:  M Angrist; L Jamal
Journal:  Clin Genet       Date:  2014-09-06       Impact factor: 4.438

Review 8.  Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps.

Authors:  Ann M Bailey; Yong Mao; Jia Zeng; Vijaykumar Holla; Amber Johnson; Lauren Brusco; Ken Chen; John Mendelsohn; Mark J Routbort; Gordon B Mills; Funda Meric-Bernstam
Journal:  Discov Med       Date:  2014-02       Impact factor: 2.970

9.  HUMA: A platform for the analysis of genetic variation in humans.

Authors:  David K Brown; Özlem Tastan Bishop
Journal:  Hum Mutat       Date:  2017-10-17       Impact factor: 4.878

Review 10.  Molecular genetic epidemiology of human diseases: from patterns to predictions.

Authors:  Carolin Knecht; Michael Krawczak
Journal:  Hum Genet       Date:  2013-11-19       Impact factor: 4.132

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