Ethical Issues in E-Science The View From Clinical Genetics Jonathan Berg Senior Lecturer and Honorary Consultant in Clinical Genetics University of Dundee.

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Presentation transcript:

Ethical Issues in E-Science The View From Clinical Genetics Jonathan Berg Senior Lecturer and Honorary Consultant in Clinical Genetics University of Dundee

Starting a Project The Mountain of Paperwork R+D approval MREC approval LREC locality approval Data protection Honorary contracts Caldicott PIAG

Wouldn’t it be better if it all just blew away ? It is important to distinguish the beurocracy of ethical approval From ethical behaviour

We are going to collect a large amount of patient data, access it via the GRID and do something interesting with it. Typical E-Science Grant Proposal Key words: Data Mining, GRIDS, Object Oriented Database

Inputs to a Medical Research Database Clinical Information High Quality Many Patients GP Local Clinics Specialised Clinics Prescribing Records Cancer Registry Death Certificates Hospital Discharge Laboratory Investigations Birth and Marriage Certificates

Large Database Projects Open Ended Research Question –Cannot specify nature of study at point of consent Indefinite storage of data Open access to data Complete anonymisation of data impossible –Family structure –Genotypes –MRI scans –History Can infer important clinical information from data available

Example Data: The Family Tree Jean 45 Helen 60 Fred 62 Anne 55 Joan 35 Angela 38

The Family Tree What The Patient Sees Jean 51 ? Cancer Helen 60 Fred 62 Anne 55 Breast CA 40 Joan 35 Angela 38 ?

The Family Tree Clarified by a Geneticist Jean 45 Ovarian Cancer 42 Helen 60 Fred 62 Anne 55 Breast CA 40 Joan 35 Angela 38

The Family Tree What The Geneticist Sees…. Lifetime Breast Cancer Risk Jean 45 Ovarian Cancer 42 30% Fred 62 Anne 55 Breast CA 40 40%

Problems Surrounding Family History Storage of information on individuals without their consent Not easy to preserve family structure and important details when anonymising data Important clinical observations are made from data derived on individuals who do not know they are being observed It does not take much data to reach worrying conclusions

Other data E-Diamond Specific Issues Mammograms available on GRID –Security and access Matched with some clinical data –Effective anonymisation Type of analysis not pre-determined –Is informed consent possible ? Possible Risks of Participation –Previously unidentified cancer –New risk factors derived from mammogram

EGC Package - Proposed flow of information Regional Database Clinical data Family tree data Screening data Multimedia Data eg Mammograms Pathology Microarray data Local research tools Anonymisation +Security National research tools Clinical Domain Request Tabulated Data

Give me every individual UK postcode HG4 4PH Head Circumference >97 th Centile CaseInitialsAgeOther sensitive data 1AB3.5Likes Teddy Bears 2JB37Wears Odd Socks

Conclusion E-Science has a lot to offer medical research The ethical challenges are not trivial The paperwork is the least of the problems

Conclusion Ethical design has to be inherent in the database System design has to take into account Patient consent Who accesses data (and who decides) How the data is accessed How the data is exported How system use is policed