ArticleHuman genetics2026
Understanding the public's intention to adopt CRISPR-Cas9: the effect of beliefs, knowledge, and innovativeness.
Article in Human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
CRISPR-Cas9 is a gene editing technology with wide-ranging medical potential and significant ethical implications. This study examined how personality traits, familiarity with CRISPR, knowledge about CRISPR, and beliefs concerning its applications are connected to the public’s willingness to adopt this technology, drawing on Rogers’ Diffusion of Innovations framework. A sample of 500 young adults aged 20–45 completed questionnaires assessing innovativeness as well as familiarity, knowledge, beliefs, and willingness to adopt CRISPR-Cas9 for therapeutic and non-therapeutic purposes. Results showed that only 24% of participants were familiar with CRISPR and that knowledge levels were generally low. Based on Rogers’ typology, 18.8% were identified as innovators, and 26.8% as early adopters, and only 3.2% as laggards. Beliefs were strongly associated with willingness to adopt CRISPR-Cas9 (r = .63, p < .001), moderating the weak associations of personality traits with adoption intentions. These findings suggest that beliefs are an important factor in CRISPR-Cas9 adoption and they appear to have more influence on willingness to adopt CRISPR-Cas9 than knowledge and innovativeness in this sample. Efforts to promote informed public discussion on CRISPR should be made, with an emphasis on ethical aspects alongside scientific information. This is critical for the responsible adoption of this technology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.