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Towards evidence-based genomic medicine: filling the evidence gaps through modelling studies

Objective

At increasingly high rate, genome-wide association and whole genome sequencing studies unravel genetic variants implicated in common diseases such as coronary heart disease, cancer, dementia and type 2 diabetes. One of the major promises is that these advances will lead to more personalized medicine, in which preventive and therapeutic interventions are targeted to individuals based on their genetic profiles.
There is increasing interest in the early adoption of novel applications and many commercial applications are already marketed without supporting empirical evidence. Already now, regulatory agencies like the US Food and Drug Administration face substantial gaps in empirical evidence, which hamper proper recommendations. The increasing interest in genomic medicine, the evidence gaps and the scarcity of research budgets are strong incentives to search for novel strategies that make the process of translation research more efficient and effective.
This project aims to investigate modelling approaches that can be used to predict the expected outcomes of empirical studies on the basis of published epidemiological and intervention studies. This approach can be used to 1) identify genomic applications that are promising and warrant further empirical research, and 2) fill in evidence gaps by identifying applications that are not expected to improve health or health care. When they are valid, precise and simple, modelling studies can optimize the process of translational research so that time and money are allocated to the most promising applications.
In this project, I will 1) characterize empirical studies in translational research in terms of the main outcome measures used and their key determinants; 2) develop simulation models that predict outcome measures; 3) investigate how accuracy and precision of the estimates vary with varying model complexity; and 4). investigate the generalizability of the modelling approaches.

Call for proposal

ERC-2012-StG_20111109
See other projects for this call

Funding Scheme

ERC-SG - ERC Starting Grant

Host institution

STICHTING VUMC
Address
De Boelelaan 1117
1081 HV Amsterdam
Netherlands
Activity type
Research Organisations
Principal investigator
Anna Caecilia Josephina Wilhelmina Janssens (Prof.)
Administrative Contact
Yvonne Koppelman (Mrs.)

Beneficiaries (2)

STICHTING VUMC
Netherlands
Address
De Boelelaan 1117
1081 HV Amsterdam
Activity type
Research Organisations
Principal investigator
Anna Caecilia Josephina Wilhelmina Janssens (Prof.)
Administrative Contact
Yvonne Koppelman (Mrs.)
STICHTING VU

Participation ended

Netherlands
EU contribution
€ 1 368 912,80
Address
De Boelelaan 1105
1081 HV Amsterdam
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Minka Van Dongen (Ms.)