| Literature DB >> 23639901 |
Rachel B Ramoni1, Amy L McGuire, Jill Oliver Robinson, Debra S Morley, Sharon E Plon, Steven Joffe.
Abstract
PURPOSE: Whether and how to return individual genetic results to study participants is among the most contentious policy issues in contemporary genomic research.Entities:
Mesh:
Year: 2013 PMID: 23639901 PMCID: PMC4143384 DOI: 10.1038/gim.2013.58
Source DB: PubMed Journal: Genet Med ISSN: 1098-3600 Impact factor: 8.822
Characteristics of respondents
| Characteristic (n=200 | Number (Percent) |
|---|---|
| Age, mean (standard deviation, range) | 47.5 (8.7, 26-74) |
| Female | 58 (29%) |
| Race | |
| Asian | 36 (18%) |
| Black or African American | 1 (1%) |
| White | 152 (77%) |
| Other | 9 (5%) |
| Hispanic or Latino/a | 5 (3%) |
| Prior service on an institutional review board or equivalent | 59 (30%) |
| Experience interacting directly with human subjects | 132 (66%) |
| Work setting | |
| University or academic medical center | 164 (83%) |
| Pharmaceutical or biotechnology | 13 (7%) |
| Government | 13 (7%) |
| Other | 8 (4%) |
| Academic rank among those in academic settings | |
| Professor | 88 (54%) |
| Associate professor | 33 (20%) |
| Assistant professor | 27 (16%) |
| Other | 16 (10%) |
| Degree | |
| MD | 98 (49%) |
| PhD | 140 (70%) |
| MPH | 9 (5%) |
| Other | 8 (4%) |
| Location of employment | |
| United States | 95 (48%) |
| Canada | 6 (3%) |
| Europe | 71 (36%) |
| Asia | 22 (11%) |
| Other | 5 (3%) |
| Role in study | |
| Overall study design | 184 (92%) |
| Participant recruitment or consent | 47 (24%) |
| Laboratory analysis | 67 (34%) |
| Collection of phenotypic information | 68 (34%) |
| Bioinformatic or statistical analysis | 128 (64%) |
| Other | 22 (11%) |
Denominators may not equal 200 due to missing data for individual questions
Total may exceed 100%, as respondents could choose more than one category
Characteristics and return-of-results practices of index studies
| Number (Percent) | ||
|---|---|---|
| Nature of data acquisition | ||
| Primary data/specimen collection | 126 (63%) | |
| Secondary data/specimen analysis | 74 (37%) | |
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| Mode of acquisition of data or specimens | ||
| From those responsible for primary data collection | 57 (77%) | |
| From a public repository | 5 (7%) | |
| Other | 12 (16%) | |
| Signed data use agreement | ||
| Yes | 49 (67%) | |
| No | 14 (19%) | |
| Unsure | 10 (14%) | |
| If present, data use agreement forbade participant re-identification | ||
| Yes | 29 (60%) | |
| No | 9 (19%) | |
| Unsure | 10 (21%) | |
| Method to link data/specimens to individual identifiers | ||
| Directly labeled with identifiers | 3 (2%) | 0 (0%) |
| Linked to identifiers with code | 109 (87%) | 30 (67%) |
| No link to identifiers | 9 (7%) | 12 (27%) |
| Other | 3 (2%) | 3 (7%) |
| Unsure | 2 (2%) | 0 (0%) |
| Study has previously returned individual genetic test results to participant(s) | ||
| Yes | 7 (6%) | 0 (0%) |
| No | 107 (91%) | 32 (97%) |
| Unsure | 3 (3%) | 1 (3%) |
| Study has plans to return individual genetic test results to participant(s) | ||
| Yes | 2 (2%) | 0 (0%) |
| No | 103 (94%) | 33 (100%) |
| Unsure | 5 (5%) | 0 (0%) |
NA, Not applicable
Secondary analysis, n=74
Secondary analysis, n=73
Secondary analysis, n=48
Primary analysis, n=126; secondary analysis, n=45
Primary analysis, n=117, secondary analysis, n=33
Primary analysis, n=110, secondary analysis, n=33
Among studies that had not previously returned results to individual participants
Figure 1Motivations for the return of individual genetic research results among GWAS investigators
Figure 2Barriers to the return of individual genetic research results among GWAS investigators