Literature DB >> 28710076

Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.

Chirag J Patel1, Jacqueline Kerr2, Duncan C Thomas3, Bhramar Mukherjee4, Beate Ritz5, Nilanjan Chatterjee6, Marta Jankowska2, Juliette Madan7, Margaret R Karagas8, Kimberly A McAllister9, Leah E Mechanic10, M Daniele Fallin11, Christine Ladd-Acosta11, Ian A Blair12,13, Susan L Teitelbaum14, Christopher I Amos15.   

Abstract

A growing number and increasing diversity of factors are available for epidemiological studies. These measures provide new avenues for discovery and prevention, yet they also raise many challenges for adoption in epidemiological investigations. Here, we evaluate 1) designs to investigate diseases that consider heterogeneous and multidimensional indicators of exposure and behavior, 2) the implementation of numerous methods to capture indicators of exposure, and 3) the analytical methods required for discovery and validation. We find that case-control studies have provided insights into genetic susceptibility but are insufficient for characterizing complex effects of environmental factors on disease development. Prospective and two-phase designs are required but must balance extended data collection with follow-up of study participants. We discuss innovations in assessments including the microbiome; mass spectrometry and metabolomics; behavioral assessment; dietary, physical activity, and occupational exposure assessment; air pollution monitoring; and global positioning and individual sensors. We claim the the availability of extensive correlated data raises new challenges in disentangling specific exposures that influence cancer risk from among extensive and often correlated exposures. In conclusion, new high-dimensional exposure assessments offer many new opportunities for environmental assessment in cancer development. Cancer Epidemiol Biomarkers Prev; 26(9); 1370-80. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28710076      PMCID: PMC5581729          DOI: 10.1158/1055-9965.EPI-17-0459

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  130 in total

1.  Counter-matching in studies of gene-environment interaction: efficiency and feasibility.

Authors:  N Andrieu; A M Goldstein; D C Thomas; B Langholz
Journal:  Am J Epidemiol       Date:  2001-02-01       Impact factor: 4.897

2.  Exposure stratified case-cohort designs.

Authors:  O Borgan; B Langholz; S O Samuelsen; L Goldstein; J Pogoda
Journal:  Lifetime Data Anal       Date:  2000-03       Impact factor: 1.588

3.  Misclassification in case-control studies of gene-environment interactions: assessment of bias and sample size.

Authors:  M Garcia-Closas; N Rothman; J Lubin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1999-12       Impact factor: 4.254

Review 4.  Epidemiological methods for studying genes and environmental factors in complex diseases.

Authors:  D Clayton; P M McKeigue
Journal:  Lancet       Date:  2001-10-20       Impact factor: 79.321

5.  The exposure-time-response relationship between occupational asbestos exposure and lung cancer in two German case-control studies.

Authors:  Michael Hauptmann; Hermann Pohlabeln; Jay H Lubin; Karl-Heinz Jöckel; Wolfgang Ahrens; Irene Brüske-Hohlfeld; H -Erich Wichmann
Journal:  Am J Ind Med       Date:  2002-02       Impact factor: 2.214

6.  Replication validity of genetic association studies.

Authors:  J P Ioannidis; E E Ntzani; T A Trikalinos; D G Contopoulos-Ioannidis
Journal:  Nat Genet       Date:  2001-11       Impact factor: 38.330

7.  A quantitative approach for estimating exposure to pesticides in the Agricultural Health Study.

Authors:  Mustafa Dosemeci; Michael C R Alavanja; Andrew S Rowland; David Mage; Shelia Hoar Zahm; Nathaniel Rothman; Jay H Lubin; Jane A Hoppin; Dale P Sandler; Aaron Blair
Journal:  Ann Occup Hyg       Date:  2002-03

8.  Joint effect of genes and environment distorted by selection biases: implications for hospital-based case-control studies.

Authors:  Sholom Wacholder; Nilanjan Chatterjee; Patricia Hartge
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-09       Impact factor: 4.254

9.  The detection of gene-environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement?

Authors:  M Y Wong; N E Day; J A Luan; K P Chan; N J Wareham
Journal:  Int J Epidemiol       Date:  2003-02       Impact factor: 7.196

10.  Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study.

Authors:  A F Subar; F E Thompson; V Kipnis; D Midthune; P Hurwitz; S McNutt; A McIntosh; S Rosenfeld
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

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  14 in total

1.  An Assessment of Environmental Health Measures in the Deepwater Horizon Research Consortia.

Authors:  Huaqin Pan; Stephen W Edwards; Cataia Ives; Hannah Covert; Emily W Harville; Maureen Y Lichtveld; Jeffrey K Wickliffe; Carol M Hamilton
Journal:  Curr Opin Toxicol       Date:  2019-07-30

Review 2.  Evolution and Applications of Recent Sensing Technology for Occupational Risk Assessment: A Rapid Review of the Literature.

Authors:  Giacomo Fanti; Andrea Spinazzè; Francesca Borghi; Sabrina Rovelli; Davide Campagnolo; Marta Keller; Andrea Borghi; Andrea Cattaneo; Emanuele Cauda; Domenico Maria Cavallo
Journal:  Sensors (Basel)       Date:  2022-06-27       Impact factor: 3.847

3.  Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.

Authors:  W James Gauderman; Bhramar Mukherjee; Hugues Aschard; Li Hsu; Juan Pablo Lewinger; Chirag J Patel; John S Witte; Christopher Amos; Caroline G Tai; David Conti; Dara G Torgerson; Seunggeun Lee; Nilanjan Chatterjee
Journal:  Am J Epidemiol       Date:  2017-10-01       Impact factor: 5.363

Review 4.  Lessons Learned From Past Gene-Environment Interaction Successes.

Authors:  Beate R Ritz; Nilanjan Chatterjee; Montserrat Garcia-Closas; W James Gauderman; Brandon L Pierce; Peter Kraft; Caroline M Tanner; Leah E Mechanic; Kimberly McAllister
Journal:  Am J Epidemiol       Date:  2017-10-01       Impact factor: 5.363

5.  Interdisciplinary data science to advance environmental health research and improve birth outcomes.

Authors:  Jeanette A Stingone; Sofia Triantafillou; Alexandra Larsen; Jay P Kitt; Gary M Shaw; Judit Marsillach
Journal:  Environ Res       Date:  2021-03-15       Impact factor: 8.431

Review 6.  Opportunities for Gene and Environment Research in Cancer: An Updated Review of NCI's Extramural Grant Portfolio.

Authors:  Armen A Ghazarian; Naoko Ishibe Simonds; Gabriel Y Lai; Leah E Mechanic
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-12-15       Impact factor: 4.090

Review 7.  Environmental triggers of Parkinson's disease - Implications of the Braak and dual-hit hypotheses.

Authors:  Honglei Chen; Keran Wang; Filip Scheperjans; Bryan Killinger
Journal:  Neurobiol Dis       Date:  2021-12-23       Impact factor: 7.046

Review 8.  What is the meaning of 'A compound is carcinogenic'?

Authors:  Dieter Schrenk
Journal:  Toxicol Rep       Date:  2018-04-07

9.  Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.

Authors:  Kimberly McAllister; Leah E Mechanic; Christopher Amos; Hugues Aschard; Ian A Blair; Nilanjan Chatterjee; David Conti; W James Gauderman; Li Hsu; Carolyn M Hutter; Marta M Jankowska; Jacqueline Kerr; Peter Kraft; Stephen B Montgomery; Bhramar Mukherjee; George J Papanicolaou; Chirag J Patel; Marylyn D Ritchie; Beate R Ritz; Duncan C Thomas; Peng Wei; John S Witte
Journal:  Am J Epidemiol       Date:  2017-10-01       Impact factor: 5.363

Review 10.  Beyond genomics: understanding exposotypes through metabolomics.

Authors:  Nicholas J W Rattray; Nicole C Deziel; Joshua D Wallach; Sajid A Khan; Vasilis Vasiliou; John P A Ioannidis; Caroline H Johnson
Journal:  Hum Genomics       Date:  2018-01-26       Impact factor: 4.639

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