Integrative Study Designs—Next Step in the Evolution of Molecular Epidemiology?

The ascendancy of the molecular epidemiology approach ([1][1], [2][2]), simply defined as including biomarkers in population-based study designs, is clear by any survey of current population studies. Most scientists would agree that embedding advanced technologies in molecular epidemiology designs

[1]  N. Rothman,et al.  Incorporating biomarkers into cancer epidemiology: a matrix of biomarker and study design categories. , 1995, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[2]  Claude Bouchard,et al.  The Human Obesity Gene Map: The 2005 Update , 2006, Obesity.

[3]  Paolo Vineis,et al.  A network of investigator networks in human genome epidemiology. , 2005, American journal of epidemiology.

[4]  David Goldman,et al.  Alcoholism: genes and mechanisms. , 2004, Pharmacogenomics.

[5]  Thomas A. Sellers,et al.  Opportunities and Barriers in the Age of Team Science: Strategies for Success , 2006, Cancer Causes & Control.

[6]  F. Hu,et al.  A Common Genetic Variant Is Associated with Adult and Childhood Obesity , 2006, Science.

[7]  S. Lippman,et al.  Molecular signatures of lung cancer--toward personalized therapy. , 2007, The New England journal of medicine.

[8]  F P Perera,et al.  Molecular epidemiology and carcinogen-DNA adduct detection: new approaches to studies of human cancer causation. , 1982, Journal of chronic diseases.

[9]  Ash A. Alizadeh,et al.  Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes. , 2004, The New England journal of medicine.

[10]  N. Caporaso Genetic Modifiers of Cancer Risk , 2006 .

[11]  R. Tyndale,et al.  Implications of CYP2A6 Genetic Variation for Smoking Behaviors and Nicotine Dependence , 2005, Clinical pharmacology and therapeutics.

[12]  B. Johnson,et al.  Second lung cancers in patients after treatment for an initial lung cancer. , 1998, Journal of the National Cancer Institute.

[13]  S. Cole,et al.  Fallibility in estimating direct effects. , 2002, International journal of epidemiology.

[14]  Gordon Mills,et al.  Integrative epidemiology: from risk assessment to outcome prediction. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[15]  H. Wolf,et al.  N-Acetyltransferase phenotype and risk in urinary bladder cancer: approaches in molecular epidemiology. Preliminary results in Sweden and Denmark , 1979, Environmental health perspectives.

[16]  K. Fagerström,et al.  Measuring degree of physical dependence to tobacco smoking with reference to individualization of treatment. , 1978, Addictive behaviors.

[17]  N. Chatterjee,et al.  Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions. , 2006, American journal of human genetics.

[18]  P. Sullivan,et al.  The types of regular cigarette smokers: a latent class analysis. , 2005, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[19]  A. Daly,et al.  Individualized drug therapy. , 2007, Current opinion in drug discovery & development.

[20]  Jeremy J. W. Chen,et al.  A five-gene signature and clinical outcome in non-small-cell lung cancer. , 2007, The New England journal of medicine.

[21]  Ming D. Li,et al.  A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins. , 2003, Addiction.

[22]  J. Kaprio,et al.  Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland. , 2000, The New England journal of medicine.

[23]  A. Olshan,et al.  Pooled analysis of alcohol dehydrogenase genotypes and head and neck cancer: a HuGE review. , 2004, American journal of epidemiology.