| Literature DB >> 35277654 |
Megan C Best1,2, Phyllis Butow3, Jacqueline Savard4, Chris Jacobs5, Nicole Bartley3, Grace Davies3, Christine E Napier6, Mandy L Ballinger6, David M Thomas6, Barbara Biesecker7, Katherine M Tucker8, Ilona Juraskova3, Bettina Meiser9, Timothy Schlub10, Ainsley J Newson10.
Abstract
Germline genome sequencing (GS) holds great promise for cancer prevention by identifying cancer risk and guiding prevention strategies, however research evidence is mixed regarding patient preferences for receiving GS results. The aim of this study was to discern preferences for return of results by cancer patients who have actually undergone GS. We conducted a mixed methods study with a cohort of cancer probands (n = 335) and their genetic relatives (n = 199) undergoing GS in a research setting. Both groups completed surveys when giving consent. A subset of participants (n = 40) completed semi-structured interviews. A significantly higher percentage of probands thought people would like to be informed about genetic conditions for which there is prevention or treatment that can change cancer risk compared to conditions for which there is no prevention or treatment (93% [311] versus 65% [216]; p < 0.001). Similar results were obtained for relatives (91% [180] versus 61% [121]; p < 0.001). Themes identified in the analysis of interviews were: (1) Recognised benefits of GS, (2) Balancing benefits with risks, (3) Uncertain results are perceived as unhelpful and (4) Competing obligations. While utility was an important discriminator in what was seen as valuable for this cohort, there was a variety of responses. In view of varied participant preferences regarding return of results, it is important to ensure patient understanding of test validity and identify individual choices at the time of consent to GS. The nature and value of the information, and a contextual understanding of researcher obligations should guide result return.Entities:
Mesh:
Year: 2022 PMID: 35277654 PMCID: PMC9349221 DOI: 10.1038/s41431-022-01069-y
Source DB: PubMed Journal: Eur J Hum Genet ISSN: 1018-4813 Impact factor: 5.351
Demographics.
| Demographic variables | Probands ( | Interviews ( | Relatives (n = 199) | Interviews ( |
|---|---|---|---|---|
| Sex ( | ||||
| Female | 220 (66%) | 13 (65%) | 118 (59%) | 11 (55%) |
| Age (years) | ||||
| Median (IQR) | 39 (15) | 42 (15) | 64 (11) | 63(9) |
| Mean (SD) | 41.72 (13.75) | 46.10 (12.55) | 63.04 (8.43) | 62.65 (6.66) |
| Range | 16–83 | 32–78 | 31–87 | 49–74 |
| Education ( | ||||
| Primary School | 0 | 0 | 1 (0.5%) | 0 |
| Year 7 or 8 | 2 (0.6%) | 0 | 9 (5%) | 0 |
| Year 9 or 10 | 23 (7%) | 1 (5%) | 38 (19%) | 3 (15%) |
| Year 11 or 12 | 40 (12%) | 2 (10%) | 17 (9%) | 1 (5%) |
| Vocational training | 53 (16%) | 4 (20%) | 40 (20%) | 2 (10%) |
| University—did not graduate | 29 (9%) | 1 (5%) | 13 (7%) | 1 (5%) |
| University—graduated | 187 (56%) | 10 (50%) | 79 (40%) | 12 (60%) |
| Unknown | 1 (0.3%) | 2 (10%) | 2 (1%) | 1 (5%) |
| Medical/science occupation | ||||
| ( | 27 (8%) | 3 (15%) | 16 (8%) | 1 (5%) |
| Culturally and | ||||
| Linguistically Diverse (CALD) ( | 74 (22%) | 3 (15%) | 18 (9%) | 2 (10%) |
| Accessibility and Remoteness Index of Australia (ARIA) ( | ||||
| Urban | 314 (94%) | 17 (85%) | 168 (84%) | 19 (95%) |
| Genetic children ( | 175 (52%) | 17 (85%) | 197 (99%) | 20 (100%) |
| Cancer diagnosis ( | 335 (100%) | 20 (100%) | 48 (24%) | 4 (20%) |
| Time since probands’ cancer diagnosis (years) | ||||
| Mean (standard deviation) | 7.47 (9.39) | 12.81 (12.47) | 4.51 (5.29) | 3.39 (2.55) |
| Range | 0–52.17 | 0.83–41.83 | 0.08–35.30 | 0.83–9.20 |
| First-degree relative diagnosed with cancer ( | 164 (49%) | 18 (90%) | 199 (100%) | 20 (100%) |
aCulturally and Linguistically Diverse (CALD) status identified by whether English is spoken in the home.
Survey results: What sort of genetic conditions do you think people would like to be informed about when they take part in genetic research?.
| Probands, | Relatives, | |
|---|---|---|
| Known genetic conditions caused by one gene, for which there is | ||
| Yes | 216 (65) | 121 (61) |
| No | 13 (4) | 9 (5) |
| Maybe | 73 (22) | 40 (20) |
| Don’t know | 30 (9) | 29 (15) |
| Known genetic conditions caused by one gene, for which there is | ||
| Yes | 311 (93) | 180 (91) |
| No | 0 | 0 |
| Maybe | 6 (2) | 11 (6) |
| Don’t know | 15 (5) | 8 (4) |
| Known genetic conditions caused by many genes, which can have a major impact on health, for which there is | ||
| Yes | 303 (90) | 183 (92) |
| No | 0 | 1 (0.5) |
| Maybe | 15 (5) | 7 (4) |
| Don’t know | 14 (4) | 8 (4) |
| Known genetic conditions caused by many genes, which usually have a lower impact on health, for which there is | ||
| Yes | 285 (85) | 174 (87) |
| No | 2 (0.6) | 4 (2) |
| Maybe | 27 (8) | 13 (7) |
| Don’t know | 18 (5) | 8 (4) |
Participant quotes.
| Theme | Participant quote |
|---|---|
| 1. Recognised benefits of testing | |
| 1a. Personal benefits | |
| 1b. Family benefits | |
| 1c. Community benefit | |
| 2. Balancing benefits with risks | |
| 3. Uncertain results are perceived as unhelpful | |
| 4. Competing obligations | |