Literature DB >> 21308768

Gene-environment interplay in common complex diseases: forging an integrative model—recommendations from an NIH workshop.

Ebony B Bookman1, Kimberly McAllister, Elizabeth Gillanders, Kay Wanke, David Balshaw, Joni Rutter, Jill Reedy, Daniel Shaughnessy, Tanya Agurs-Collins, Dina Paltoo, Audie Atienza, Laura Bierut, Peter Kraft, M Daniele Fallin, Frederica Perera, Eric Turkheimer, Jason Boardman, Mary L Marazita, Stephen M Rappaport, Eric Boerwinkle, Stephen J Suomi, Neil E Caporaso, Irva Hertz-Picciotto, Kristen C Jacobson, William L Lowe, Lynn R Goldman, Priya Duggal, Megan R Gunnar, Teri A Manolio, Eric D Green, Deborah H Olster, Linda S Birnbaum.   

Abstract

Although it is recognized that many common complex diseases are a result of multiple genetic and environmental risk factors, studies of gene-environment interaction remain a challenge and have had limited success to date. Given the current state-of-the-science, NIH sought input on ways to accelerate investigations of gene-environment interplay in health and disease by inviting experts from a variety of disciplines to give advice about the future direction of gene-environment interaction studies. Participants of the NIH Gene-Environment Interplay Workshop agreed that there is a need for continued emphasis on studies of the interplay between genetic and environmental factors in disease and that studies need to be designed around a multifaceted approach to reflect differences in diseases, exposure attributes, and pertinent stages of human development. The participants indicated that both targeted and agnostic approaches have strengths and weaknesses for evaluating main effects of genetic and environmental factors and their interactions. The unique perspectives represented at the workshop allowed the exploration of diverse study designs and analytical strategies, and conveyed the need for an interdisciplinary approach including data sharing, and data harmonization to fully explore gene-environment interactions. Further, participants also emphasized the continued need for high-quality measures of environmental exposures and new genomic technologies in ongoing and new studies.
© 2011 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21308768      PMCID: PMC3228883          DOI: 10.1002/gepi.20571

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  36 in total

1.  Genetic association and gene-environment interaction: a new method for overcoming the lack of exposure information in controls.

Authors:  Rémi Kazma; Marie-Claude Babron; Emmanuelle Génin
Journal:  Am J Epidemiol       Date:  2010-11-17       Impact factor: 4.897

2.  PharmGKB: a logical home for knowledge relating genotype to drug response phenotype.

Authors:  Russ B Altman
Journal:  Nat Genet       Date:  2007-04       Impact factor: 38.330

3.  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

4.  Gene-environment interaction in genome-wide association studies.

Authors:  Cassandra E Murcray; Juan Pablo Lewinger; W James Gauderman
Journal:  Am J Epidemiol       Date:  2008-11-20       Impact factor: 4.897

5.  Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs.

Authors:  Bhramar Mukherjee; Jaeil Ahn; Stephen B Gruber; Gad Rennert; Victor Moreno; Nilanjan Chatterjee
Journal:  Genet Epidemiol       Date:  2008-11       Impact factor: 2.135

6.  MAOA and the "cycle of violence:" childhood abuse and neglect, MAOA genotype, and risk for violent and antisocial behavior.

Authors:  Cathy Spatz Widom; Linda M Brzustowicz
Journal:  Biol Psychiatry       Date:  2006-06-30       Impact factor: 13.382

7.  The National Children's Study: a 21-year prospective study of 100,000 American children.

Authors:  Philip J Landrigan; Leonardo Trasande; Lorna E Thorpe; Charon Gwynn; Paul J Lioy; Mary E D'Alton; Heather S Lipkind; James Swanson; Pathik D Wadhwa; Edward B Clark; Virginia A Rauh; Frederica P Perera; Ezra Susser
Journal:  Pediatrics       Date:  2006-11       Impact factor: 7.124

Review 8.  Evolving gene expression: from G to E to GxE.

Authors:  Andrea Hodgins-Davis; Jeffrey P Townsend
Journal:  Trends Ecol Evol       Date:  2009-08-21       Impact factor: 17.712

Review 9.  Epistasis and its implications for personal genetics.

Authors:  Jason H Moore; Scott M Williams
Journal:  Am J Hum Genet       Date:  2009-09       Impact factor: 11.025

10.  MAOA, maltreatment, and gene-environment interaction predicting children's mental health: new evidence and a meta-analysis.

Authors:  J Kim-Cohen; A Caspi; A Taylor; B Williams; R Newcombe; I W Craig; T E Moffitt
Journal:  Mol Psychiatry       Date:  2006-06-27       Impact factor: 15.992

View more
  45 in total

1.  Subgroups at high risk for ischaemic heart disease:identification and validation in 67 000 individuals from the general population.

Authors:  Ruth Frikke-Schmidt; Anne Tybjærg-Hansen; Greg Dyson; Christiane L Haase; Marianne Benn; Børge G Nordestgaard; Charles F Sing
Journal:  Int J Epidemiol       Date:  2014-10-30       Impact factor: 7.196

2.  Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome.

Authors:  Duncan C Thomas; Juan Pablo Lewinger; Cassandra E Murcray; W James Gauderman
Journal:  Am J Epidemiol       Date:  2011-12-22       Impact factor: 4.897

3.  The genetics of age-related health outcomes.

Authors:  Eileen M Crimmins; Caleb E Finch
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-03-27       Impact factor: 6.053

4.  Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseases.

Authors:  Hugues Aschard; Jinbo Chen; Marilyn C Cornelis; Lori B Chibnik; Elizabeth W Karlson; Peter Kraft
Journal:  Am J Hum Genet       Date:  2012-05-24       Impact factor: 11.025

5.  Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.

Authors:  Philip S Boonstra; Bhramar Mukherjee; Stephen B Gruber; Jaeil Ahn; Stephanie L Schmit; Nilanjan Chatterjee
Journal:  Am J Epidemiol       Date:  2016-01-10       Impact factor: 4.897

6.  Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

Authors:  Jason D Boardman; Benjamin W Domingue; Casey L Blalock; Brett C Haberstick; Kathleen Mullan Harris; Matthew B McQueen
Journal:  Demography       Date:  2014-02

Review 7.  Cannabis controversies: how genetics can inform the study of comorbidity.

Authors:  Arpana Agrawal; Michael T Lynskey
Journal:  Addiction       Date:  2014-01-19       Impact factor: 6.526

Review 8.  Biomarkers of metabolic disorders and neurobehavioral diseases in a PCB- exposed population: What we learned and the implications for future research.

Authors:  Jyothirmai J Simhadri; Christopher A Loffredo; Tomas Trnovec; Lubica Palkovicova Murinova; Gail Nunlee-Bland; Janna G Koppe; Greet Schoeters; Siddhartha Sankar Jana; Somiranjan Ghosh
Journal:  Environ Res       Date:  2020-09-13       Impact factor: 6.498

9.  Gene-environment interactions between JAZF1 and occupational and household lead exposure in prostate cancer among African American men.

Authors:  Christine Neslund-Dudas; Albert M Levin; Jennifer L Beebe-Dimmer; Cathryn H Bock; Nora L Nock; Andrew Rundle; Michelle Jankowski; Richard Krajenta; Q Ping Dou; Bharati Mitra; Deliang Tang; Timothy R Rebbeck; Benjamin A Rybicki
Journal:  Cancer Causes Control       Date:  2014-05-07       Impact factor: 2.506

10.  Mapping Proteome-Wide Targets of Environmental Chemicals Using Reactivity-Based Chemoproteomic Platforms.

Authors:  Daniel Medina-Cleghorn; Leslie A Bateman; Breanna Ford; Ann Heslin; Karl J Fisher; Esha D Dalvie; Daniel K Nomura
Journal:  Chem Biol       Date:  2015-10-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.