Lorenzo Fabbri
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Categories
All (11)
Bayesian Statistics (1)
Causal Inference (2)
Child Health (2)
Computational Biology (1)
Computational Methods (1)
Endocrine Disruptors (4)
Environmental Epidemiology (6)
Epidemiology (1)
Exposome (5)
Metabolic Health (4)
Mixtures (2)
Multi-omics (4)
Neurodevelopment (2)
Nutrition (1)
Systems Biology (1)
Toxicology (1)

Research

My research focuses on the environmental and social determinants of cancer, using causal inference and evidence triangulation to strengthen causal conclusions from observational data.

Journal articles

  • Fabbri L, Robinson O, Basagaña X, Chatzi L, Gražulevičienė R, Guxens M, Kadawathagedara M, Sakhi AK, Maitre L, McEachan R, et al. "Childhood exposure to non-persistent endocrine disruptors, glucocorticosteroids, and attentional function: A cross-sectional study based on the parametric g-formula." Environmental Research 264 (2025): 120413, doi: 10.1016/j.envres.2024.120413

    Causal Inference
    Environmental Epidemiology
    Endocrine Disruptors
    Neurodevelopment
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    • Final version
    • Code
    • Add to Zotero
  • Fabbri L, Andrušaitytė S, Basagaña X, Bhopal S, Bustamante M, Cheung RW, Gražulevičienė R, Guxens M, Kadawathagedara M, Kampouri M, et al. "Prenatal and childhood exposure to mixtures of environmental chemicals and adolescence attentional problems: a triangulation study." Environment International 206 (2025): 109927, doi: 10.1016/j.envint.2025.109927

    Causal Inference
    Environmental Epidemiology
    Endocrine Disruptors
    Neurodevelopment
    Mixtures
    • Full details »
    • Final version
    • Code
    • Add to Zotero
  • Stratakis N, Anguita-Ruiz A, Fabbri L, Maitre L, González JR, Andrusaityte S, Basagaña X, Borràs E, Keun HC, Chatzi L, et al. "Multi-omics architecture of childhood obesity and metabolic dysfunction uncovers biological pathways and prenatal determinants." Nature Communications 16 (2025), doi: 10.1038/s41467-025-56013-7

    Multi-omics
    Exposome
    Metabolic Health
    Child Health
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    • Final version
    • Add to Zotero
  • Güil-Oumrait N, Stratakis N, Maitre L, Anguita-Ruiz A, Urquiza J, Fabbri L, Basagaña X, Heude B, Haug LS, Sakhi AK, et al. "Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in Children." JAMA Network Open 7 (2024): e2412040, doi: 10.1001/jamanetworkopen.2024.12040

    Exposome
    Metabolic Health
    Environmental Epidemiology
    Mixtures
    • Full details »
    • Final version
    • Add to Zotero
  • Warkentin S, Stratakis N, Fabbri L, Wright J, Yang TC, Bryant M, Heude B, Slama R, Montazeri P, Vafeiadi M, et al. "Dietary patterns among European children and their association with adiposity-related outcomes: a multi-country study." International Journal of Obesity 49 (2024): 295-305, doi: 10.1038/s41366-024-01657-6

    Nutrition
    Epidemiology
    Child Health
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  • Fabbri L, Garlantézec R, Audouze K, Bustamante M, Carracedo Á, Chatzi L, Ramón González J, Gražulevičienė R, Keun H, Lau CE, et al. "Childhood exposure to non-persistent endocrine disrupting chemicals and multi-omic profiles: A panel study." Environment International 173 (2023): 107856, doi: 10.1016/j.envint.2023.107856

    Multi-omics
    Endocrine Disruptors
    Environmental Epidemiology
    Exposome
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    • Final version
    • Code
    • Add to Zotero
  • Thiel C, Cordes H, Fabbri L, Aschmann HE, Baier V, Smit I, Atkinson F, Blank LM, Kuepfer L. "A Comparative Analysis of Drug-Induced Hepatotoxicity in Clinically Relevant Situations." PLOS Computational Biology 13 (2017): e1005280, doi: 10.1371/journal.pcbi.1005280

    Computational Biology
    Systems Biology
    Toxicology
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Conference posters

  • Güil Oumrait N, Stratakis N, Maitre L, Anguita Ruiz A, Urquiza J, Fabbri L, Basagaña X, Heude B, Småstuen Haug L, Kaur Sakhi A, et al. "Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in European Children." Presented at the ISEE Annual Conference 2024 (2024). doi: 10.1289/isee.2024.1562

    Exposome
    Metabolic Health
    Environmental Epidemiology
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    • Abstract
    • Add to Zotero
  • Stratakis N, Anguita Ruiz A, Fabbri L, Maitre L, González JR, Andrusaityte S, Basagaña X, Borràs E, Keun HC, Chatzi L, et al. "A precision environmental health approach to childhood obesity and metabolic dysfunction: identifying biological pathways and prenatal determinants." Presented at the ISEE Annual Conference 2024 (2024). doi: 10.1289/isee.2024.0593

    Multi-omics
    Exposome
    Metabolic Health
    • Full details »
    • Abstract
    • Add to Zotero
  • Fabbri L, Garlantézec R, Thomsen C, Wright J, Slama R, Heude B, Gražulevičienė R, Chatzi L, Lau CE, Siskos AP, et al. "Childhood exposure to non-persistent endocrine disrupting chemicals and multi-omic markers in a population-based child cohort." Presented at the EURION Annual Meeting and PPTOX-VII International Conference on Prenatal Programming and Toxicity Meeting (2022) (2022).

    Multi-omics
    Endocrine Disruptors
    Environmental Epidemiology
    • Full details »
    • Poster (EURION)
    • Poster (PPTOX-VII)
  • Fabbri L, Ummadisingu A, Dutta R, Janalík R, Mira A, Schenk O, Schoengens M. "Efficient and Portable MPI Support for Approximate Bayesian Computation." Presented at the Platform for Advanced Scientific Computing (PASC) 2017 (2017). doi: 10.6084/M9.FIGSHARE.17708726.V3

    Computational Methods
    Bayesian Statistics
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No matching items

Research software

  • forrest: R package to create publication-ready forest plots (epidemiology, meta-analysis). Available on CRAN.
  • causatr: R package for causal effects estimation.
  • negatr: R package for negative control analysis — detecting and correcting unmeasured confounding in epidemiological studies.
  • orcidtr: R package to retrieve data from the ORCID public API. Available on CRAN.
  • manuscripts: Template for writing scientific manuscripts using Markdown and Zotero.

For the most up-to-date list of publications, please see my Google Scholar profile.

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My research focuses on the environmental and social determinants of cancer, using causal inference and evidence triangulation to strengthen causal conclusions from observational data.

## Journal articles

:::{#articles}
:::

## Conference posters

:::{#posters}
:::

## Research software

- [`forrest`](https://github.com/lorenzoFabbri/forrest): R package to create publication-ready forest plots (epidemiology, meta-analysis). Available on [CRAN](https://cran.r-project.org/package=forrest).
- [`causatr`](https://github.com/etverse/causatr): R package for causal effects estimation.
- [`negatr`](https://github.com/etverse/negatr): R package for negative control analysis — detecting and correcting unmeasured confounding in epidemiological studies.
- [`orcidtr`](https://github.com/lorenzoFabbri/orcidtr): R package to retrieve data from the ORCID public API. Available on [CRAN](https://cran.r-project.org/package=orcidtr).
- [`manuscripts`](https://github.com/lorenzoFabbri/manuscripts): Template for writing scientific manuscripts using Markdown and Zotero.

---

*For the most up-to-date list of publications, please see my [Google Scholar profile](https://scholar.google.com/citations?user=QbPv1H0AAAAJ&hl=en).*

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