Literature DB >> 22311722

Genetic epidemiology with a capital E: where will we be in another 10 years?

Duncan C Thomas.   

Abstract

In a commentary on the evolution of the field of genetic epidemiology over the past 10 years, Khoury et al. (2011) highlight several important developments, including the emergence of evaluation of genetic discoveries for their translational utility and of standards for reporting genetic findings. In this companion to their article, I reflect on some of these trends and speculate about the direction of the field in the future. In particular, I emphasize the opportunities posed by novel technologies like next-generation sequencing and the biological insights emerging from integrative genomics, but I also question the utility of large consortia. The basic principles of population-based research and the importance of taking account of the environment remain important to the field.
© 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22311722      PMCID: PMC3781009          DOI: 10.1002/gepi.21612

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


  39 in total

1.  Toxicological considerations in the application and interpretation of susceptibility biomarkers in epidemiological studies.

Authors:  Anneclaire J De Roos; Martyn T Smith; Stephen Chanock; Nathaniel Rothman
Journal:  IARC Sci Publ       Date:  2004

Review 2.  Analysing biological pathways in genome-wide association studies.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

3.  An integrative genomics approach to infer causal associations between gene expression and disease.

Authors:  Eric E Schadt; John Lamb; Xia Yang; Jun Zhu; Steve Edwards; Debraj Guhathakurta; Solveig K Sieberts; Stephanie Monks; Marc Reitman; Chunsheng Zhang; Pek Yee Lum; Amy Leonardson; Rolf Thieringer; Joseph M Metzger; Liming Yang; John Castle; Haoyuan Zhu; Shera F Kash; Thomas A Drake; Alan Sachs; Aldons J Lusis
Journal:  Nat Genet       Date:  2005-06-19       Impact factor: 38.330

Review 4.  The developmental origins of adult disease (Barker) hypothesis.

Authors:  Hendrina A de Boo; Jane E Harding
Journal:  Aust N Z J Obstet Gynaecol       Date:  2006-02       Impact factor: 2.100

5.  Artifact due to differential error when cases and controls are imputed from different platforms.

Authors:  Jennifer A Sinnott; Peter Kraft
Journal:  Hum Genet       Date:  2011-07-07       Impact factor: 4.132

6.  Epidemiology faces its limits.

Authors:  G Taubes
Journal:  Science       Date:  1995-07-14       Impact factor: 47.728

7.  Predicting the future of genetic risk prediction.

Authors:  Nilanjan Chatterjee; Ju-Hyun Park; Neil Caporaso; Mitchell H Gail
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-01       Impact factor: 4.254

8.  Synthetic associations created by rare variants do not explain most GWAS results.

Authors:  Naomi R Wray; Shaun M Purcell; Peter M Visscher
Journal:  PLoS Biol       Date:  2011-01-18       Impact factor: 8.029

Review 9.  Genetic risk prediction in complex disease.

Authors:  Luke Jostins; Jeffrey C Barrett
Journal:  Hum Mol Genet       Date:  2011-08-25       Impact factor: 6.150

10.  Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.

Authors:  Christian Gieger; Ludwig Geistlinger; Elisabeth Altmaier; Martin Hrabé de Angelis; Florian Kronenberg; Thomas Meitinger; Hans-Werner Mewes; H-Erich Wichmann; Klaus M Weinberger; Jerzy Adamski; Thomas Illig; Karsten Suhre
Journal:  PLoS Genet       Date:  2008-11-28       Impact factor: 5.917

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  3 in total

Review 1.  Integration of biological networks and pathways with genetic association studies.

Authors:  Yan V Sun
Journal:  Hum Genet       Date:  2012-07-10       Impact factor: 4.132

2.  Presidential address: Six open questions to genetic epidemiologists.

Authors:  Inke R König
Journal:  Genet Epidemiol       Date:  2019-01-19       Impact factor: 2.135

Review 3.  Environmental changes, microbiota, and allergic diseases.

Authors:  Byoung-Ju Kim; So-Yeon Lee; Hyo-Bin Kim; Eun Lee; Soo-Jong Hong
Journal:  Allergy Asthma Immunol Res       Date:  2014-06-23       Impact factor: 5.764

  3 in total

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