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Shen, H.* ; Xu, W.* ; Peng, S.* ; Scherb, H. ; She, J.* ; Voigt, K. ; Alamdar, A.* ; Schramm, K.-W.

Pooling samples for "top-down" molecular exposomics research: The methodology.

Environ. Health 13:8 (2014)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
BACKGROUND: Exposomics is the cutting-edge concept of screening the environmental risk factors for disease. In the novel "top-down" approach, we estimate the molecular exposome by measuring all body fluid analytes in a case-controlled study. However, to detect diverse pollutants, a sufficient sample size and multiple analytical methods are required. This may lead to dramatically increased costs and research workload. METHODS: To help reduce complexity, we suggest a sample pooling strategy along with a scheme for combining both general unknown or multi-targeted screening with targeted analysis. The sample pooling method was tested using computer simulations. RESULTS: By comprehensively analysis of pooled samples, it is possible to identify environmental risk factors. Factors are initially screened in the pooled case and control population samples, then in the randomized grouped and pooled case and control subpopulation samples. In the sample grouping, five or more pools were suggested for groups having 30 individuals per pool. CONCLUSIONS: This study suggests that sample pooling is a useful strategy for exposomics research, which provides a hypothesis-free method for pollutant risk screening.
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Icb_biostatistics
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Exposome ; Exposure Biomarker ; Metabolome ; Effect Biomarker ; Case-control Study ; Environmental Pollutants ; Pooled Sample; Pooled Blood-samples; Breast-milk; Exposure; Metabonomics; Association; Chemicals; Genome; Issues
Sprache englisch
Veröffentlichungsjahr 2014
HGF-Berichtsjahr 2014
e-ISSN 1476-069x
Quellenangaben Band: 13, Heft: 1, Seiten: , Artikelnummer: 8 Supplement: ,
Verlag BioMed Central
Verlagsort London
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
30202 - Environmental Health
Forschungsfeld(er) Enabling and Novel Technologies
Environmental Sciences
PSP-Element(e) G-503800-001
G-509100-001
PubMed ID 24524244
Scopus ID 84926466446
Erfassungsdatum 2014-03-12