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Challenges and novel approaches for investigating molecular mediation

View Article: PubMed Central - PubMed

ABSTRACT

Understanding mediation is useful for identifying intermediates lying between an exposure and an outcome which, when intervened upon, will block (some or all of) the causal pathway between the exposure and outcome. Mediation approaches used in conventional epidemiology have been adapted to understanding the role of molecular intermediates in situations of high-dimensional omics data with varying degrees of success. In particular, the limitations of observational epidemiological study including confounding, reverse causation and measurement error can afflict conventional mediation approaches and may lead to incorrect conclusions regarding causal effects. Solutions to analysing mediation which overcome these problems include the use of instrumental variable methods such as Mendelian randomization, which may be applied to evaluate causality in increasingly complex networks of omics data.

No MeSH data available.


The interplay between genomics, other “omics” and environmental factors in relation to disease or health-related outcomes.
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ddw197-F1: The interplay between genomics, other “omics” and environmental factors in relation to disease or health-related outcomes.

Mentions: Recent applications of omics technologies within large-scale population-based studies present new opportunities for identifying novel biomarkers for both risk factors and disease. Furthermore, different forms of omic data can be combined with increasingly complex models (3) and may help to interrogate otherwise opaque networks in confirming observed risk factor and disease associations from observational epidemiology and identifying new ones (4) (Fig. 1). Figure 1.


Challenges and novel approaches for investigating molecular mediation
The interplay between genomics, other “omics” and environmental factors in relation to disease or health-related outcomes.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5036871&req=5

ddw197-F1: The interplay between genomics, other “omics” and environmental factors in relation to disease or health-related outcomes.
Mentions: Recent applications of omics technologies within large-scale population-based studies present new opportunities for identifying novel biomarkers for both risk factors and disease. Furthermore, different forms of omic data can be combined with increasingly complex models (3) and may help to interrogate otherwise opaque networks in confirming observed risk factor and disease associations from observational epidemiology and identifying new ones (4) (Fig. 1). Figure 1.

View Article: PubMed Central - PubMed

ABSTRACT

Understanding mediation is useful for identifying intermediates lying between an exposure and an outcome which, when intervened upon, will block (some or all of) the causal pathway between the exposure and outcome. Mediation approaches used in conventional epidemiology have been adapted to understanding the role of molecular intermediates in situations of high-dimensional omics data with varying degrees of success. In particular, the limitations of observational epidemiological study including confounding, reverse causation and measurement error can afflict conventional mediation approaches and may lead to incorrect conclusions regarding causal effects. Solutions to analysing mediation which overcome these problems include the use of instrumental variable methods such as Mendelian randomization, which may be applied to evaluate causality in increasingly complex networks of omics data.

No MeSH data available.