Work Package 3: Definition of methodological framework

Work Package 3: Definition of methodological framework

PARTNERS: UPMC, AUTH, IOM, JSI, UPD, VTT, IDMEC-FEUP
LEADER: AUTH
START MONTH: 1
END MONTH: 12

Objectives:

To develop the methodological framework of HEALS in order to optimize the application of the exposome  to population health risk assessments.


Description of work and role of partners:

HEALS introduces an integrated approach  to assessing the links between the exposome  and health risk. The process will start with estimating exposure  using biological monitoring data and work both forward to disease and backwards (using reverse dosimetry)  to environmental  exposures. The methodological framework of HEALS will be developed  to optimize the application of the exposome  to population health risk assessment.

The WP will consist of the following tasks:


Task 3.1 Development of an initial HEALS environment and health association methodological concept (AUTH, UPMC, IOM, JSI).

To ensure that other WPs will be able to start developing  tools that would fit within the HEALS Exposome framework, this task will develop  an initial proposal  for the HEALS EWAS  approach  for improved health risk assessment. This initial framework  will be presented and discussed at a workshop (face-to-face or webinar) at Month 6.


Task 3.2 Development of the final conceptual HEALS methodological framework for EWAS (AUTH, UPMC, IOM, UPD, JSI, VTT, IDMEC-FEUP).

The initial EWAS  approach of HEALS based on the individual exposome  will be further developed  and expanded in task. This will be done in tandem with other Streams, in particular Stream 4. We will develop  the main concepts on how endogenous markers measured by -omics relate to human adverse-effects  and disease as well as external exposure  measured  using conventional environmental monitoring, sensor technology or estimated using models. We will also develop  methods  for effective  data mining to find such relationships,  for example,  by first converting -omics into more  high level  “pathway”/” biological  process” descriptors  that are easier to relate  to exposure or disease. We will also indicate how the results  of the proposed  analyses can find their way into the policy arena based on risk assessment and eventually health impact assessment.