Literature DB >> 11684236

Epidemiological methods for studying genes and environmental factors in complex diseases.

D Clayton1, P M McKeigue.   

Abstract

Exploration of the human genome presents new challenges and opportunities for epidemiological research. Although the case-control design is quicker and cheaper for study of associations between genotype and risk of disease than the cohort design, cohort studies have been recommended because they can be used to study gene-environment interactions. Although the scientific relevance of statistical interaction is pertinent, the main disadvantage of the case-control design-susceptibility to bias when estimating effects of exposures that are measured retrospectively-does not necessarily apply when studying statistical interaction between genotype and environmental exposure. Because correctly designed genetic association studies are equivalent to randomised comparisons between genotypes, conclusions about cause can be drawn from genetic associations even when the risk ratio is modest. For adequate statistical power to detect such modest risk ratios, the case-control design is more feasible than the cohort design.

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Year:  2001        PMID: 11684236     DOI: 10.1016/S0140-6736(01)06418-2

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  110 in total

1.  Spouses and unrelated friends of probands as controls for stroke genetics studies.

Authors:  Bradford Burke Worrall; Devin L Brown; Thomas G Brott; Robert D Brown; Scott L Silliman; James F Meschia
Journal:  Neuroepidemiology       Date:  2003 Jul-Aug       Impact factor: 3.282

Review 2.  Genetic epidemiology, genetic maps and positional cloning.

Authors:  Newton E Morton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-10-29       Impact factor: 6.237

3.  The future of association studies: gene-based analysis and replication.

Authors:  Benjamin M Neale; Pak C Sham
Journal:  Am J Hum Genet       Date:  2004-07-22       Impact factor: 11.025

4.  Gene-gene interaction in folate-related genes and risk of neural tube defects in a UK population.

Authors:  C L Relton; C S Wilding; M S Pearce; A J Laffling; P A Jonas; S A Lynch; E J Tawn; J Burn
Journal:  J Med Genet       Date:  2004-04       Impact factor: 6.318

5.  Epidemiologic methods: beyond clinical medicine, beyond epidemiology.

Authors:  Francisco Bolúmar; Miquel Porta
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

6.  Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes.

Authors:  Marilyn C Cornelis; Eric J Tchetgen Tchetgen; Liming Liang; Lu Qi; Nilanjan Chatterjee; Frank B Hu; Peter Kraft
Journal:  Am J Epidemiol       Date:  2011-12-22       Impact factor: 4.897

7.  National Biobanks: Clinical Labor, Risk Production, and the Creation of Biovalue.

Authors:  Robert Mitchell
Journal:  Sci Technol Human Values       Date:  2010-05-01

Review 8.  Causality in cancer epidemiology.

Authors:  Pagona Lagiou; Hans-Olov Adami; Dimitrios Trichopoulos
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

Review 9.  The emerging molecular architecture of schizophrenia, polygenic risk scores and the clinical implications for GxE research.

Authors:  Conrad Iyegbe; Desmond Campbell; Amy Butler; Olesya Ajnakina; Pak Sham
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2014-01-17       Impact factor: 4.328

10.  Rapid Infant Prefrontal Cortex Development and Sensitivity to Early Environmental Experience.

Authors:  Amanda S Hodel
Journal:  Dev Rev       Date:  2018-03-11
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