Literature DB >> 22935514

Invited commentary: the 21st century epidemiologist--a need for different training?

Lewis H Kuller1.   

Abstract

The accompanying paper by Ogino et al. (Am J Epidemiol. 2012;176(8):659-667) cogently suggests a need for including modern approaches like molecular pathological epidemiology (MPE) in our research. However, Ogino et al. make an assumption that epidemiology has previously not included pathology or modern technologies in epidemiologic studies and that there is a unique need for the specialty of MPE. The new molecular pathology is yet another technique that can improve epidemiologic investigations. There is a long tradition of combining good pathology with epidemiologic research, especially in studies of cardiovascular disease. Large epidemiologic studies have successfully integrated specialty expertise in a collaborative and mutually beneficial approach to test specific hypotheses. The author is concerned that MPE techniques, whether they involve metabolomics, genomics, proteomics, or microarrays, will come to drive epidemiologic studies without any specific hypothesis-testing or unique population characteristics. The epidemiologist would then become little more than a collector of study subjects and a distributor of the various specimens to the laboratories.

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Year:  2012        PMID: 22935514     DOI: 10.1093/aje/kws227

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  9 in total

Review 1.  Molecular pathological epidemiology: new developing frontiers of big data science to study etiologies and pathogenesis.

Authors:  Tsuyoshi Hamada; NaNa Keum; Reiko Nishihara; Shuji Ogino
Journal:  J Gastroenterol       Date:  2016-10-13       Impact factor: 7.527

2.  Ogino et Al. Respond to "the 21st century epidemiologist".

Authors:  Shuji Ogino; Andrew H Beck; Emily E King; Mark E Sherman; Danny A Milner; Edward Giovannucci
Journal:  Am J Epidemiol       Date:  2012-08-30       Impact factor: 4.897

Review 3.  The next generation of large-scale epidemiologic research: implications for training cancer epidemiologists.

Authors:  Margaret R Spitz; Tram Kim Lam; Sheri D Schully; Muin J Khoury
Journal:  Am J Epidemiol       Date:  2014-09-18       Impact factor: 4.897

Review 4.  Discovery of colorectal cancer PIK3CA mutation as potential predictive biomarker: power and promise of molecular pathological epidemiology.

Authors:  S Ogino; P Lochhead; E Giovannucci; J A Meyerhardt; C S Fuchs; A T Chan
Journal:  Oncogene       Date:  2013-06-24       Impact factor: 9.867

5.  "Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities.

Authors:  Tram Kim Lam; Margaret Spitz; Sheri D Schully; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-01-15       Impact factor: 4.254

Review 6.  Progress and opportunities in molecular pathological epidemiology of colorectal premalignant lesions.

Authors:  Paul Lochhead; Andrew T Chan; Edward Giovannucci; Charles S Fuchs; Kana Wu; Reiko Nishihara; Michael O'Brien; Shuji Ogino
Journal:  Am J Gastroenterol       Date:  2014-06-17       Impact factor: 10.864

Review 7.  How many molecular subtypes? Implications of the unique tumor principle in personalized medicine.

Authors:  Shuji Ogino; Charles S Fuchs; Edward Giovannucci
Journal:  Expert Rev Mol Diagn       Date:  2012-07       Impact factor: 5.225

8.  Molecular pathological epidemiology gives clues to paradoxical findings.

Authors:  Reiko Nishihara; Tyler J VanderWeele; Kenji Shibuya; Murray A Mittleman; Molin Wang; Alison E Field; Edward Giovannucci; Paul Lochhead; Shuji Ogino
Journal:  Eur J Epidemiol       Date:  2015-10-07       Impact factor: 8.082

9.  A prospective study of duration of smoking cessation and colorectal cancer risk by epigenetics-related tumor classification.

Authors:  Reiko Nishihara; Teppei Morikawa; Aya Kuchiba; Paul Lochhead; Mai Yamauchi; Xiaoyun Liao; Yu Imamura; Katsuhiko Nosho; Kaori Shima; Ichiro Kawachi; Zhi Rong Qian; Charles S Fuchs; Andrew T Chan; Edward Giovannucci; Shuji Ogino
Journal:  Am J Epidemiol       Date:  2013-06-20       Impact factor: 4.897

  9 in total

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