"The advent of fast, efficient genetic sequencing has transformed medical research over the past decade and it's set to revolutionise clinical care in the future," says Dr Anna Middleton, first author from the Wellcome Trust Sanger Institute. "Policy surrounding the use of genetic data in research and clinical settings must be directed by the views and experiences of the public, patients, clinicians, genetic health professions and genomic researchers. This study represents a first step in informing people of the issues and gathering their responses."
The usefulness of findings was an important consideration for the majority of respondents, who were drawn from 75 countries around the world. The majority of participants wanted to receive information about serious conditions, even if the risk of developing the condition was as low as 1 per cent. However, fewer people were interested in receiving results for less serious conditions.
" This study represents a first step in informing people of the issues and gathering their responses. "Anna Middleton
"Genetic health professionals are acutely aware of the challenges posed by interpreting genetic information accurately and communicating results to patients," explains Dr Helen Firth, an author from the Department of Clinical Genetics at Addenbrooke's Hospital. "There are still so many unknowns; having key indicators for a disease in your genetic code may not necessarily mean that you will develop that disease. Much of the information in our personal genetic codes is currently uninterpretable and of uncertain clinical significance. It will take many years of research before we know how to use much of this data for clinical benefit. As this knowledge is gained, our survey will help researchers and health policy makers to plan accordingly."
The survey was conducted as part of the Deciphering Developmental Disorders (DDD) project, which seeks to find genetic diagnoses for rare developmental disorders using patients' sequence data. The DDD project did not search this data for disease indicators and only returned results likely to be linked to the patients’ disorders. This fits well with the findings of the survey as, while participants were keen to learn about their genetics, the majority did not think researchers should be required to actively search for key indicators of disease in genomic data if it would reduce the time and resources spent on medical research.