title: Living laboratory: whole-genome sequencing as a learning healthcare enterprise.
abstract: With the proliferation of affordable large-scale human genomic data come profound and vexing questions about management of such data and their clinical uncertainty. These issues challenge the view that genomic research on human beings can (or should) be fully segregated from clinical genomics, either conceptually or practically. Here, we argue that the sharp distinction between clinical care and research is especially problematic in the context of large-scale genomic sequencing of people with suspected genetic conditions. Core goals of both enterprises (e.g. understanding genotype-phenotype relationships; generating an evidence base for genomic medicine) are more likely to be realized at a population scale if both those ordering and those undergoing sequencing for diagnostic reasons are routinely and longitudinally studied. Rather than relying on expensive and lengthy randomized clinical trials and meta-analyses, we propose leveraging nascent clinical-research hybrid frameworks into a broader, more permanent instantiation of exploratory medical sequencing. Such an investment could enlighten stakeholders about the real-life challenges posed by whole-genome sequencing, such as establishing the clinical actionability of genetic variants, returning 'off-target' results to families, developing effective service delivery models and monitoring long-term outcomes.
authors.affiliation: Science and Society, Social Science Research Institute and Sanford School of Public Policy, Duke University, Durham, NC, USA.
authors.forename: M
authors.initials: M
authors.lastname: Angrist
authors.forename: L
authors.initials: L
authors.lastname: Jamal
mesh_terms: D005826:Genetics, Medical / Q000941:ethics* / Q000379:methods*; D015894:Genome, Human / Q000235:genetics*; D059014:High-Throughput Nucleotide Sequencing / Q000941:ethics* / Q000379:methods; D006801:Humans; D033181:Information Dissemination / Q000941:ethics*; D012107:Research Design / Q000592:standards* / Q000639:trends
keywords: governance; human subjects; personalized medicine; research participation; whole-exome sequencing; whole-genome sequencing