Exposure assessment in early life: it is about time for multi-omics approaches
Author:
Funder
Agence Nationale de La Recherche
Deutsche Forschungsgemeinschaft
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1186/s12916-021-02088-0.pdf
Reference9 articles.
1. Narad P, Kirthanashri SV. Introduction to Omics. In: Arivaradarajan P, Misra G, editors. Omics approaches, technologies and applications: integrative approaches for understanding OMICS data. Singapore: Springer Singapore; 2018. p. 1–10. https://doi.org/10.1007/978-981-13-2925-8_1.
2. Chu SH, Huang M, Kelly RS, Benedetti E, Siddiqui JK, Zeleznik OA, et al. Integration of metabolomic and other omics data in population-based study designs: an epidemiological perspective. Metabolites. 2019;9(6):117. https://doi.org/10.3390/metabo9060117.
3. Vrijheid M, Slama R, Robinson O, Chatzi L, Coen M, van den Hazel P, et al. The human early-life exposome (HELIX): project rationale and design. Environ Health Perspect. 2014;122(6):535–44. https://doi.org/10.1289/ehp.1307204.
4. DiBattista A, Chakraborty P. Quantitative characterization of the urine and serum metabolomes of children is essential for ‘omics’ studies. BMC Med. 2018;16(1):222. https://doi.org/10.1186/s12916-018-1219-z.
5. Sampson JN, Boca SM, Shu XO, Stolzenberg-Solomon RZ, Matthews CE, Hsing AW, et al. Metabolomics in epidemiology: sources of variability in metabolite measurements and implications. Cancer Epidemiol Biomark Prev. 2013;22(4):631–40. https://doi.org/10.1158/1055-9965.EPI-12-1109.
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