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基因组知识量表在国际遗传学素养和态度调查(iGLAS-GK)中的日译和验证。

Japanese Translation and Validation of Genomic Knowledge Measure in the International Genetics Literacy and Attitudes Survey (iGLAS-GK).

机构信息

Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Shiwa 020-3694, Japan.

Department of Clinical Genetics, School of Medicine, Iwate Medical University, Morioka 020-8505, Japan.

出版信息

Genes (Basel). 2023 Mar 28;14(4):814. doi: 10.3390/genes14040814.

DOI:10.3390/genes14040814
PMID:37107572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10137569/
Abstract

Knowledge of genetics is essential for understanding the results of genetic testing and its implications. Recent advances in genomic research have allowed us to predict the risk of onset of common diseases based on individual genomic information. It is anticipated that more people will receive such estimates of risks based on their genomic data. However, currently, there is no measure for genetic knowledge that includes post-genome sequencing advancements in Japan. In this study, we translated the genomic knowledge measure in the International Genetics Literacy and Attitudes Survey (iGLAS-GK) into Japanese and validated it in a general Japanese adult population ( = 463). The mean score was 8.41 (SD 2.56, range 3-17). The skewness and kurtosis were 0.534 and 0.088, respectively, and the distribution showed a slightly positive skewness. Exploratory factor analysis proposed a six-factor model. Results for 16 of the 20 items of the Japanese version of the iGLAS-GK were comparable to those from previous studies in other populations. These results indicate that the Japanese version is reliable and can be used to measure the genomic knowledge of adults in the general population, and this version of the knowledge measure maintains the multidimensional structure for assessing genomic knowledge.

摘要

了解遗传学对于理解遗传测试的结果及其意义至关重要。基因组研究的最新进展使我们能够根据个体基因组信息预测常见疾病的发病风险。预计会有更多的人根据他们的基因组数据获得这样的风险估计。然而,目前在日本还没有一种衡量遗传知识的方法,包括基因组测序技术的进步。在这项研究中,我们将国际遗传素养和态度调查(iGLAS-GK)中的基因组知识衡量标准翻译成日语,并在一般日本成年人群体中进行了验证(n=463)。平均得分为 8.41(SD 2.56,范围 3-17)。偏度和峰度分别为 0.534 和 0.088,分布呈轻微正偏态。探索性因子分析提出了一个六因素模型。日本版 iGLAS-GK 的 20 个项目中的 16 个项目的结果与其他人群的先前研究结果相当。这些结果表明,日语版是可靠的,可以用来衡量普通人群中成年人的基因组知识,并且该知识衡量标准保持了评估基因组知识的多维结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4349/10137569/006e69f22182/genes-14-00814-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4349/10137569/006e69f22182/genes-14-00814-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4349/10137569/006e69f22182/genes-14-00814-g001.jpg

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本文引用的文献

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Behav Genet. 2021 Mar;51(2):144-153. doi: 10.1007/s10519-021-10041-3. Epub 2021 Jan 23.
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GeneLiFT: A novel test to facilitate rapid screening of genetic literacy in a diverse population undergoing genetic testing.基因易检:一种新的测试方法,用于在接受基因检测的不同人群中快速筛查遗传素养。
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Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease.
多基因风险评分增强预测模型与临床风险评分对冠状动脉疾病预测的准确性比较。
JAMA. 2020 Feb 18;323(7):636-645. doi: 10.1001/jama.2019.22241.
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Stroke. 2020 Mar;51(3):759-765. doi: 10.1161/STROKEAHA.119.027520. Epub 2020 Jan 31.
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Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention.对 480,000 名成年人的冠心病的基因组风险预测:对一级预防的影响。
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Development and Validation of a Genomic Knowledge Scale to Advance Informed Decision Making Research in Genomic Sequencing.用于推进基因组测序中知情决策研究的基因组知识量表的开发与验证
MDM Policy Pract. 2017 Jan-Jun;2(1). doi: 10.1177/2381468317692582. Epub 2017 Feb 1.
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New literacy challenge for the twenty-first century: genetic knowledge is poor even among well educated.21世纪的新读写能力挑战:即使在受过良好教育的人群中,基因知识也很匮乏。
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Population-based biobank participants' preferences for receiving genetic test results.基于人群的生物库参与者对接收基因检测结果的偏好。
J Hum Genet. 2017 Dec;62(12):1037-1048. doi: 10.1038/jhg.2017.81. Epub 2017 Aug 10.
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