| Literature DB >> 18776708 |
Kenji Matsui1, Reidar K Lie, Yoshikuni Kita, Hirotsugu Ueshima.
Abstract
BACKGROUND: Although genetic epidemiologic research has added an element of individualization to epidemiologic research, there is neither agreement nor much discussion on whether donors of genetic samples should be offered an opportunity to receive individualized results regarding their genetic susceptibility to disease. Little is known regarding donors' preferences for future disclosure of individual results. The purpose of this study is to investigate the actual preferences of such donors with regard to receiving individual results, to explore the factors related to their decision, and then to discuss ethical issues regarding the disclosure of results.Entities:
Mesh:
Year: 2008 PMID: 18776708 PMCID: PMC4771593 DOI: 10.2188/jea.je2007425
Source DB: PubMed Journal: J Epidemiol ISSN: 0917-5040 Impact factor: 3.211
Characteristics of the genetic analysis research participants of the Takashima Study, Shiga, Japan, in 2003
| Characteristics | n (%) | |
| Sex | (n = 1857; RR‡ 100%) | |
| Male | 676 (36.4) | |
| Female | 1181 (63.6) | |
| Age, y | (n = 1857; RR 100%) | |
| Mean (SD)* | 59.6 (14.1) | |
| Range | 18-91 | |
| Marriage | (n = 1483; RR 79.9%) | |
| (Ever) Married | 1436 (96.8) | |
| Never Married | 47 (3.2) | |
| Education, y | (n = 1449; RR 78.0%) | |
| ≤6 | 62 (4.3) | |
| ≤9 | 559 (38.6) | |
| ≤12 | 463 (32.0) | |
| ≤14 | 191 (13.2) | |
| ≤16 | 172 (11.9) | |
| ≤18 | 2 (0.1) | |
| Mean (SD) | 11.3 (2.7) | |
| Religion | (n = 1454 ; RR 78.3 %) | |
| Following a religion | 1309 (90.0) | |
| No religion | 145 (10.0) | |
| Household income, million yen | (n = 1401; RR 75.4%) | |
| Mean (SD) | 4.2 (2.9) | |
| Range | 0-9 (0 = Do not know) | |
| Number of siblings | (n = 1477; RR 79.5%) | |
| Median (QD)† | 3.0 (1.5) | |
| Range | 0-12 | |
| Number of children | (n = 1455; RR 78.4%) | |
| Median (QD) | 2.0 (0.5) | |
| Range | 0-8 | |
| Number of grandchildren | (n = 1380; RR 74.3%) | |
| Median (QD) | 2.0 (2.0) | |
| Range | 0-12 | |
| Alcohol status (% of former/current drinkers) | (n = 1840; RR 99.1%) | |
| 821 (44.6) | ||
| Smoking status (% of former/current smokers) | (n = 1809; RR 97.4%) | |
| 480 (26.5) | ||
| Knowledge of the inheritability of diseases (% of positive response) | (n = 1464; RR 78.8%) | |
| 1416 (96.7) |
*, standard deviation; †, quartile deviation; ‡, response rate.
Personal and familial medical histories of the genetic analysis research participants
| Medical history of disease (% with the disease) | n (%) | ||
| Personal medical history | |||
| Hyperlipemia | 204 (11.3) | (n = 1798; RR* 96.8%) | |
| Hypertension | 356 (19.7) | (n = 1804; RR 97.1%) | |
| Diabetes mellitus | 77 (4.3) | (n = 1785; RR 96.1%) | |
| Cardiovascular disease | 51 (2.9) | (n = 1784; RR 96.1%) | |
| Stroke | 32 (1.8) | (n = 1780; RR 95.9%) | |
| Cancer | 39 (2.2) | (n = 1780; RR 95.9%) | |
| Father’s medical history | |||
| Hypertension | 255 (15.1) | (n = 1693; RR 91.2%) | |
| Diabetes mellitus | 89 (5.3) | (n = 1680; RR 90.5%) | |
| Cardiovascular disease | 154 (9.1) | (n = 1684; RR 90.7%) | |
| Stroke | 163 (9.7) | (n = 1685; RR 90.7%) | |
| Cancer | 287 (16.9) | (n = 1703; RR 91.7%) | |
| Mother’s medical history | |||
| Hypertension | 310 (18.2) | (n = 1702; RR 91.7%) | |
| Diabetes mellitus | 99 (5.9) | (n = 1689; RR 91.0%) | |
| Cardiovascular disease | 140 (8.3) | (n = 1682; RR 90.6%) | |
| Stroke | 123 (7.3) | (n = 1687; RR 90.8%) | |
| Cancer | 191 (11.3) | (n = 1692; RR 91.1%) | |
| Sibling medical history | |||
| Hypertension | 88 (5.3) | (n = 1673; RR 90.1%) | |
| Diabetes mellitus | 77 (4.6) | (n = 1674; RR 90.1%) | |
| Cardiovascular disease | 71 (4.2) | (n = 1677; RR 90.3%) | |
| Stroke | 54 (3.2) | (n = 1666; RR 89.7%) | |
| Cancer | 211 (12.5) | (n = 1684; RR 90.7%) | |
*, response rate.
Participant preferences at entry for future recontact and future disclosure of individual genetic risk information
| Questionnaire statement | n (%) | ||||
| “In case the researchers should discover at some time in the future that you have a particular genetic problem related to a serious disease(s) for which efficacious interventions might be available at that time,” | Preference | Overall | Male | Female | |
| (Q1)“Would you wish to be recontacted by the researchers at that time so as to be given the opportunity to make a decision with regard to receiving the genetic risk information?” | Yes, I wish to be recontacted. | 1599(86.1) | 601(88.9) | 998(84.5) | 0.020 |
| 246(13.2) | 70(10.4) | 176(14.9) | |||
| 12(0.6) | 5(0.7) | 7(0.6) | |||
| (Q2)“What is your present preference with regard to knowing the details of such a genetic result in the future?” | I wish to know the details. | 1521(81.9) | 578(85.5) | 943(79.8) | 0.024 |
| 162(8.7) | 49(7.2) | 113(9.6) | |||
| 84(4.5) | 24(3.6) | 60(5.1) | |||
| 90(4.8) | 25(3.7) | 65(5.5) | |||
Logistic regression with stepwise selection for the positive preference of participants for receiving individual genetic risk information
| Variable entered ( | Odds ratio (95% CI) | p value |
| Age (1 year incr.) | 0.97 (0.95, 0.99) | 0.003 |
| Household income (1 mil. yen incr.) | 1.14 (1.05, 1.24) | 0.002 |
| Alcohol status | 2.08 (1.27, 3.42) | 0.004 |
| Parental medical history of cancer | 1.88 (1.03, 3.44) | 0.040 |
| Sibling medical history of cancer | 0.54 (0.30, 0.95) | 0.032 |
Note: 1006 cases (60.6%) out of the 1660 cases were retained throughout the modeling with stepwise selection. CI, confidence interval