A tale of two stories: data-driven precision medicine and precision public health
Конференцијски прилог (Објављена верзија)
,
© 2023 Institute of Molecular Genetics and Genetic Engineering, University of Belgrade
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Приказ свих података о документуАпстракт
Big Data offers opportunities in health care to refine individuals’ characterization and
thus complement traditional precision medicine approaches toward individual-targeted
prevention, diagnosis and treatment management. Not surprisingly, network theory plays
a vital role in modelling Big Data: the higher the number of measurements, the higher the
number of potential relationships or dependencies among them. Recent developments
have shown the complementary value of personalizing population-based networks
for individuals (Menche et al. 2017, Dimitrakopoulos et al. 2018) or deriving individualspecific
networks via populations of cells (Gosak et al. 2018, Li et al. 2023).
Individual-specific networks do not necessarily require repeated measurements over time
or in space. Reverse-engineered individual-specific networks (Kuijjer et al. 2019) from an
aggregate network (hereafter referred to as ISNs) allow for investigating the impact of
individual-level network wirings, paths or ...connectivity on medical decision-making in the
individual’s interest. Wondering about the utility of these ISNs, we illustrate by example
from microbiome and gene co-expression experiments how ISNs give complementary
insights in dynamic network biomarker identification and can reveal (genetic modifiers of)
co-eQTLs as direct or indirect regulators of gene co-expression.
Кључне речи:
individual-specific networks / precision medicine / precision public health / Big Data scienceИзвор:
4th Belgrade Bioinformatics Conference, 2023, 4, 2-2Издавач:
- Belgrade : Institute of molecular genetics and genetic engineering
Финансирање / пројекти:
- This work received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreements N° 813533 (mlfpm.eu) and N° 860895 (h2020transys.eu). We are grateful to all former and current BIO3 members for inspiring discussions.
Напомена:
- Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 2023
Колекције
Институција/група
Institut za molekularnu genetiku i genetičko inženjerstvoTY - CONF AU - Van Steen, Kristel PY - 2023 UR - https://belbi.bg.ac.rs/ UR - https://imagine.imgge.bg.ac.rs/handle/123456789/1937 AB - Big Data offers opportunities in health care to refine individuals’ characterization and thus complement traditional precision medicine approaches toward individual-targeted prevention, diagnosis and treatment management. Not surprisingly, network theory plays a vital role in modelling Big Data: the higher the number of measurements, the higher the number of potential relationships or dependencies among them. Recent developments have shown the complementary value of personalizing population-based networks for individuals (Menche et al. 2017, Dimitrakopoulos et al. 2018) or deriving individualspecific networks via populations of cells (Gosak et al. 2018, Li et al. 2023). Individual-specific networks do not necessarily require repeated measurements over time or in space. Reverse-engineered individual-specific networks (Kuijjer et al. 2019) from an aggregate network (hereafter referred to as ISNs) allow for investigating the impact of individual-level network wirings, paths or connectivity on medical decision-making in the individual’s interest. Wondering about the utility of these ISNs, we illustrate by example from microbiome and gene co-expression experiments how ISNs give complementary insights in dynamic network biomarker identification and can reveal (genetic modifiers of) co-eQTLs as direct or indirect regulators of gene co-expression. PB - Belgrade : Institute of molecular genetics and genetic engineering C3 - 4th Belgrade Bioinformatics Conference T1 - A tale of two stories: data-driven precision medicine and precision public health EP - 2 SP - 2 VL - 4 UR - https://hdl.handle.net/21.15107/rcub_imagine_1937 ER -
@conference{ author = "Van Steen, Kristel", year = "2023", abstract = "Big Data offers opportunities in health care to refine individuals’ characterization and thus complement traditional precision medicine approaches toward individual-targeted prevention, diagnosis and treatment management. Not surprisingly, network theory plays a vital role in modelling Big Data: the higher the number of measurements, the higher the number of potential relationships or dependencies among them. Recent developments have shown the complementary value of personalizing population-based networks for individuals (Menche et al. 2017, Dimitrakopoulos et al. 2018) or deriving individualspecific networks via populations of cells (Gosak et al. 2018, Li et al. 2023). Individual-specific networks do not necessarily require repeated measurements over time or in space. Reverse-engineered individual-specific networks (Kuijjer et al. 2019) from an aggregate network (hereafter referred to as ISNs) allow for investigating the impact of individual-level network wirings, paths or connectivity on medical decision-making in the individual’s interest. Wondering about the utility of these ISNs, we illustrate by example from microbiome and gene co-expression experiments how ISNs give complementary insights in dynamic network biomarker identification and can reveal (genetic modifiers of) co-eQTLs as direct or indirect regulators of gene co-expression.", publisher = "Belgrade : Institute of molecular genetics and genetic engineering", journal = "4th Belgrade Bioinformatics Conference", title = "A tale of two stories: data-driven precision medicine and precision public health", pages = "2-2", volume = "4", url = "https://hdl.handle.net/21.15107/rcub_imagine_1937" }
Van Steen, K.. (2023). A tale of two stories: data-driven precision medicine and precision public health. in 4th Belgrade Bioinformatics Conference Belgrade : Institute of molecular genetics and genetic engineering., 4, 2-2. https://hdl.handle.net/21.15107/rcub_imagine_1937
Van Steen K. A tale of two stories: data-driven precision medicine and precision public health. in 4th Belgrade Bioinformatics Conference. 2023;4:2-2. https://hdl.handle.net/21.15107/rcub_imagine_1937 .
Van Steen, Kristel, "A tale of two stories: data-driven precision medicine and precision public health" in 4th Belgrade Bioinformatics Conference, 4 (2023):2-2, https://hdl.handle.net/21.15107/rcub_imagine_1937 .