Literature DB >> 14748830

Tests of gene-environment interaction for case-parent triads with general environmental exposures.

S L Lake1, N M Laird.   

Abstract

As knowledge of the human genome continues to grow, more progress is being made towards not only identifying the genes involved in disease susceptibility but also in defining the synergistic role genes play with environmental exposures. The detection of gene-environment interactions is important as it can offer clinicians a potential means of intervention. The discovery of interactions relies heavily on powerful statistical methods. We present a test, FBAT-I, that can be used to investigate gene-environment interaction. The test uses the case-parent triad design and protects the statistical inference from potential spurious results due to population admixture.

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Year:  2004        PMID: 14748830     DOI: 10.1046/j.1529-8817.2003.00073.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  22 in total

1.  Allowing for population stratification in case-only studies of gene-environment interaction, using genomic control.

Authors:  Pankaj Yadav; Sandra Freitag-Wolf; Wolfgang Lieb; Astrid Dempfle; Michael Krawczak
Journal:  Hum Genet       Date:  2015-08-22       Impact factor: 4.132

2.  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

3.  Family-based gene-by-environment interaction studies: revelations and remedies.

Authors:  Min Shi; David M Umbach; Clarice R Weinberg
Journal:  Epidemiology       Date:  2011-05       Impact factor: 4.822

4.  Using cases and parents to study multiplicative gene-by-environment interaction.

Authors:  Emily O Kistner; Min Shi; Clarice R Weinberg
Journal:  Am J Epidemiol       Date:  2009-05-29       Impact factor: 4.897

5.  A doubly robust test for gene-environment interaction in family-based studies of affected offspring.

Authors:  Beatrijs Moerkerke; Stijn Vansteelandt; Christoph Lange
Journal:  Biostatistics       Date:  2010-02-12       Impact factor: 5.899

6.  Lack of association between genetic variation in G-protein-coupled receptor for asthma susceptibility and childhood asthma and atopy.

Authors:  H Wu; I Romieu; J-J Sienra-Monge; B E del Rio-Navarro; L Burdett; J Yuenger; H Li; S J Chanock; S J London
Journal:  Genes Immun       Date:  2008-03-13       Impact factor: 2.676

7.  Variants in TGFB1, dust mite exposure, and disease severity in children with asthma.

Authors:  Sunita Sharma; Benjamin A Raby; Gary M Hunninghake; Manuel Soto-Quirós; Lydiana Avila; Amy J Murphy; Jessica Lasky-Su; Barbara J Klanderman; Jody S Sylvia; Scott T Weiss; Juan C Celedón
Journal:  Am J Respir Crit Care Med       Date:  2008-12-18       Impact factor: 21.405

8.  Dust mite exposure modifies the effect of functional IL10 polymorphisms on allergy and asthma exacerbations.

Authors:  Gary M Hunninghake; Manuel E Soto-Quirós; Jessica Lasky-Su; Lydiana Avila; Ngoc P Ly; Catherine Liang; Barbara J Klanderman; Benjamin A Raby; Diane R Gold; Scott T Weiss; Juan C Celedón
Journal:  J Allergy Clin Immunol       Date:  2008-04-28       Impact factor: 10.793

9.  Genetic variation in ORM1-like 3 (ORMDL3) and gasdermin-like (GSDML) and childhood asthma.

Authors:  H Wu; I Romieu; J-J Sienra-Monge; H Li; B E del Rio-Navarro; S J London
Journal:  Allergy       Date:  2008-12-30       Impact factor: 13.146

10.  Case-only genome-wide interaction study of disease risk, prognosis and treatment.

Authors:  Brandon L Pierce; Habibul Ahsan
Journal:  Genet Epidemiol       Date:  2010-01       Impact factor: 2.135

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