Literature DB >> 16641305

Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database.

Bruce K Lin1, Melinda Clyne, Matthew Walsh, Onnalee Gomez, Wei Yu, Marta Gwinn, Muin J Khoury.   

Abstract

Completion of the human genome sequence has inspired a new wave of epidemiologic studies on the prevalence of gene variants and their associations with diseases in human populations. In 2001, the Human Genome Epidemiology (HuGE) Network launched the HuGE Published Literature database (HuGE Pub Lit), a searchable, online knowledge base of published, population-based epidemiologic studies of human genes. The database contains links to PubMed articles and can be searched by gene, disease, interacting factor, type of study design or analysis, or any combination of terms in these categories. The search output contains a link to each identified article, along with a table summarizing key features of the reported study. As of September 6, 2005, some 17,665 articles were indexed in the database. Most described gene-disease associations (86%); fewer evaluated gene-gene or gene-environment interactions (17%), the prevalence of gene variants (10%), or genetic tests (3%). Although not comprehensive, this database is a unique tool for epidemiologic researchers and others concerned with the role of genetic variation in population health. Here, the authors provide an overview of the database and its characteristics and uses.

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Year:  2006        PMID: 16641305     DOI: 10.1093/aje/kwj175

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  59 in total

1.  The Cancer Genomics and Epidemiology Navigator: An NCI online tool to enhance cancer epidemiology research.

Authors:  Sheri D Schully; Scott D Rogers; Tram Kim Lam; Christine Q Chang; Mindy Clyne; Jean Cyr; Daniel Watson; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-11       Impact factor: 4.254

Review 2.  A systematic review evaluating the methodological aspects of meta-analyses of genetic association studies in cancer research.

Authors:  Stefania Boccia; Emma De Feo; Paola Gallì; Francesco Gianfagna; Rosarita Amore; Gualtiero Ricciardi
Journal:  Eur J Epidemiol       Date:  2010-09-10       Impact factor: 8.082

3.  Replication of past candidate loci for common diseases and phenotypes in 100 genome-wide association studies.

Authors:  Konstantinos C M Siontis; Nikolaos A Patsopoulos; John P A Ioannidis
Journal:  Eur J Hum Genet       Date:  2010-03-17       Impact factor: 4.246

Review 4.  Genome-wide significant associations for variants with minor allele frequency of 5% or less--an overview: A HuGE review.

Authors:  Orestis A Panagiotou; Evangelos Evangelou; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2010-09-28       Impact factor: 4.897

5.  Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans.

Authors:  Paolo Boffetta; Deborah M Winn; John P Ioannidis; Duncan C Thomas; Julian Little; George Davey Smith; Vincent J Cogliano; Stephen S Hecht; Daniela Seminara; Paolo Vineis; Muin J Khoury
Journal:  Int J Epidemiol       Date:  2012-05-16       Impact factor: 7.196

Review 6.  Genes and environment in irritable bowel syndrome: one step forward.

Authors:  N J Talley
Journal:  Gut       Date:  2006-12       Impact factor: 23.059

Review 7.  The integration of genomics into obstetrics and gynecology: a HuGE challenge.

Authors:  Muin J Khoury; Roberto Romero
Journal:  Am J Obstet Gynecol       Date:  2006-12       Impact factor: 8.661

8.  A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes.

Authors:  Christine Q Chang; Ajay Yesupriya; Jessica L Rowell; Camilla B Pimentel; Melinda Clyne; Marta Gwinn; Muin J Khoury; Anja Wulf; Sheri D Schully
Journal:  Eur J Hum Genet       Date:  2013-07-24       Impact factor: 4.246

Review 9.  Genetic susceptibility to cancer: the role of polymorphisms in candidate genes.

Authors:  Linda M Dong; John D Potter; Emily White; Cornelia M Ulrich; Lon R Cardon; Ulrike Peters
Journal:  JAMA       Date:  2008-05-28       Impact factor: 56.272

10.  Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement.

Authors:  Julian Little; Julian P T Higgins; John P A Ioannidis; David Moher; France Gagnon; Erik von Elm; Muin J Khoury; Barbara Cohen; George Davey-Smith; Jeremy Grimshaw; Paul Scheet; Marta Gwinn; Robin E Williamson; Guang Yong Zou; Kim Hutchings; Candice Y Johnson; Valerie Tait; Miriam Wiens; Jean Golding; Cornelia van Duijn; John McLaughlin; Andrew Paterson; George Wells; Isabel Fortier; Matthew Freedman; Maja Zecevic; Richard King; Claire Infante-Rivard; Alex Stewart; Nick Birkett
Journal:  Hum Genet       Date:  2009-02-01       Impact factor: 4.132

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