Table 1.

Action items for advancing functional analysis of cancer risk variants

		Discussion topics
Action item	Details	Define sufficient characterization		Databases and computational tools	High-throughput assays		Model organisms	Diversity in data and assays	Collaborations
Develop guidelines and/or standard for sufficient characterization of a genetic locus, based on intended purpose	Engage a small group of investigators to mine data and use benchmarks to adjudicate sources of data to identify a set of “truth” loci/variants. Identify consensus intermediate molecular phenotypes.	x							x
Develop and provide opportunities for cross-disciplinary training	Create opportunities to train across fields such as molecular biology, bioinformatics, epidemiology, genetics, etc. Promote opportunities for both early stage and mid-career investigators.	x						x	x
Encourage development of standards for in silico data curation and for high throughput assays	Develop standards for conducting research and reporting data/results. Work with existing databases to develop standards.		x		x	x			x
Build or connect data portals	All information/annotations for a locus should be easily integrated. Include published data from small studies that are not in larger databases. Connect data from various collaborative consortia.	x	x		x	x			x
Increase data, resources, and annotations relevant to underrepresented groups	Develop best practices for engaging under-represented groups. Ensure that new data generating efforts include all groups/ancestries.	x			x	x		x	x
Encourage creation of collaborative groups	Develop and encourage data jamborees or other activities focused on a specific project.	x	x						x