Table 3:
Primary Dataset Characteristics (n = 23)a
| n (%) | |
|---|---|
| Type(s) of Data Source(s) Discussed | |
| Governmental | 7 (30%) |
| Private (DTC) | 6 (26%) |
| Academic | 5 (22%) |
| Consortium | 5 (22%) |
| Private: (not DTC) | 5 (22%) |
|
| |
| Analysis Type(s) | |
| Genome-Wide Association Study | 15 (65%) |
| Whole Exome Sequencing | 3 (13%) |
| Targeted Sequencing | 2 (9%) |
| Multiplex Genetic Panel Testing | 1 (4%) |
| Case reports | 1 (4%) |
| Clinical germline testing | 1 (4%) |
| Genome-wide Copy Number Variant | 1 (4%) |
| Mendelian Randomization | 1 (4%) |
|
| |
| Data Type | |
| Individual | 16 (70%) |
| Aggregate | 7 (30%) |
|
| |
| Paid for access? | |
| No | 16 (70%) |
| Private dataset | 8 (50%) |
| Other dataset | 8 (50%) |
| Yes | 7 (30%) |
| Private dataset | 3 (43%) |
| Other dataset | 4 (57%) |
DTC, direct-to-consumer.
a
Primary dataset = The dataset used in the PubMed article from which the researcher was first identified. This dataset may contain data from multiple different sources; data source and data type may sum to more than 100%.