Content Analysis of Consent Forms for Clinical Whole Exome Sequencing

As genomic sequencing becomes increasingly incorporated into clinical care, the patient informed consent process must successfully manage many ethical challenges, including whether to seek secondary findings and which results will be returned to the patient. The goal of the current study was to explore variation among existing informed consent forms for clinical whole exome sequencing (WES) in order to identify the level of consistency with the recommendations from the Presidential Commission for the Study of Bioethical Issues and the American College of Medical Genetics and Genomics (ACMG) regarding informed consent for clinical genome scale sequencing. Recommendations of the Presidential Commission for the Study of Bioethical Issues and ACMG were organized into a framework of 18 key points for analysis. In addition, 5 other points relevant to informed consent were identified from a preliminary review of the sampled forms and review of the literature. These were assessed separately from the Bioethics Commission and ACMG list. Using these frameworks, content analysis was conducted on a sample of 18 informed consent forms for clinical WES downloaded from laboratory websites. For each of the individual Bioethics Commission and ACMG recommended consent items, the frequency of inclusion ranged from 11% to 100%. Among all forms in the sample, the average adherence to the complete list of 18 Bioethics and ACMG recommendations was 74.4%. For each of the 5 additionally identified items, the frequency of inclusion ranged from 5.6% to 50%. We observed considerable variability in the content of informed consent forms among the sample of 18 laboratories. This analysis can be useful to laboratories that provide clinical WES to create informed consent forms that they are in alignment with recommendations from the Bioethics Commission and ACMG. The development of a more standardized informed consent process could improve communication between clinicians and patients, increase understanding of genetic testing, and allow for increased data sharing.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Bioinformatics (UMKC)

Grantor

University of Missouri--Kansas City

Year dc:date.issued

2016

Author dc:creator

• Fowler, Sara A.

Advisor dc:contributor.advisor

• Hoffman, Mark

Language dc:language.iso

en_US

Handle dc:identifier.uri

https://hdl.handle.net/10355/49243

OAI identifier oai:identifier

oai:mospace.umsystem.edu:10355/49243