Literature DB >> 23695286

Phenotype-Genotype Integrator (PheGenI): synthesizing genome-wide association study (GWAS) data with existing genomic resources.

Erin M Ramos1, Douglas Hoffman2, Heather A Junkins1, Donna Maglott2, Lon Phan2, Stephen T Sherry2, Mike Feolo2, Lucia A Hindorff1.   

Abstract

Rapidly accumulating data from genome-wide association studies (GWASs) and other large-scale studies are most useful when synthesized with existing databases. To address this opportunity, we developed the Phenotype-Genotype Integrator (PheGenI), a user-friendly web interface that integrates various National Center for Biotechnology Information (NCBI) genomic databases with association data from the National Human Genome Research Institute GWAS Catalog and supports downloads of search results. Here, we describe the rationale for and development of this resource. Integrating over 66,000 association records with extensive single nucleotide polymorphism (SNP), gene, and expression quantitative trait loci data already available from the NCBI, PheGenI enables deeper investigation and interrogation of SNPs associated with a wide range of traits, facilitating the examination of the relationships between genetic variation and human diseases.

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Mesh:

Year:  2013        PMID: 23695286      PMCID: PMC3865418          DOI: 10.1038/ejhg.2013.96

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  4 in total

1.  The NCBI dbGaP database of genotypes and phenotypes.

Authors:  Matthew D Mailman; Michael Feolo; Yumi Jin; Masato Kimura; Kimberly Tryka; Rinat Bagoutdinov; Luning Hao; Anne Kiang; Justin Paschall; Lon Phan; Natalia Popova; Stephanie Pretel; Lora Ziyabari; Moira Lee; Yu Shao; Zhen Y Wang; Karl Sirotkin; Minghong Ward; Michael Kholodov; Kerry Zbicz; Jeffrey Beck; Michael Kimelman; Sergey Shevelev; Don Preuss; Eugene Yaschenko; Alan Graeff; James Ostell; Stephen T Sherry
Journal:  Nat Genet       Date:  2007-10       Impact factor: 38.330

2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

3.  Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies.

Authors:  Sheri D Schully; Wei Yu; Victoria McCallum; Camilla B Benedicto; Linda M Dong; Anja Wulf; Melinda Clyne; Muin J Khoury
Journal:  Eur J Hum Genet       Date:  2011-04-13       Impact factor: 4.246

4.  An open access database of genome-wide association results.

Authors:  Andrew D Johnson; Christopher J O'Donnell
Journal:  BMC Med Genet       Date:  2009-01-22       Impact factor: 2.103

  4 in total
  92 in total

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Authors:  Manuel Giollo; David T Jones; Marco Carraro; Emanuela Leonardi; Carlo Ferrari; Silvio C E Tosatto
Journal:  Hum Mutat       Date:  2017-03-21       Impact factor: 4.878

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Journal:  Nucleic Acids Res       Date:  2018-06-20       Impact factor: 16.971

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Authors:  David K Scoville; Dianne Botta; Karen Galdanes; Stefanie C Schmuck; Collin C White; Patricia L Stapleton; Theo K Bammler; James W MacDonald; William A Altemeier; Michelle Hernandez; Steven R Kleeberger; Lung-Chi Chen; Terry Gordon; Terrance J Kavanagh
Journal:  FASEB J       Date:  2017-07-17       Impact factor: 5.191

6.  Nuclear-Mitochondrial interactions influence susceptibility to HIV-associated neurocognitive impairment.

Authors:  S Smieszek; P Jia; D C Samuels; Z Zhao; J Barnholtz-Sloan; H Kaur; S Letendre; R Ellis; D R Franklin; T Hulgan; A Kallianpur; W S Bush
Journal:  Mitochondrion       Date:  2018-07-17       Impact factor: 4.160

7.  Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols.

Authors:  Minghui Li; Alexander Goncearenco; Anna R Panchenko
Journal:  Methods Mol Biol       Date:  2017

8.  Mining Exosomal Genes for Pancreatic Cancer Targets.

Authors:  Amy Makler; Ramaswamy Narayanan
Journal:  Cancer Genomics Proteomics       Date:  2017 May-Jun       Impact factor: 4.069

9.  Functional relevance for multiple sclerosis-associated genetic variants.

Authors:  Xiang Lin; Fei-Yan Deng; Xing-Bo Mo; Long-Fei Wu; Shu-Feng Lei
Journal:  Immunogenetics       Date:  2014-10-12       Impact factor: 2.846

10.  Comprehensive functional annotation of susceptibility variants associated with asthma.

Authors:  Yadu Gautam; Yashira Afanador; Sudhir Ghandikota; Tesfaye B Mersha
Journal:  Hum Genet       Date:  2020-04-02       Impact factor: 4.132

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