There is a growing interest in understanding the role of genetics in explaining heterogeneity in behaviors, including those related to information systems (IS). The majority of the recent genetics research focuses on searching the entire genome in genome-wide association studies (GWASs) to link DNA to human traits. The results of GWASs can be used on datasets to compute a measure of genetic propensity known as a polygenic score, or PGS. PGSs are widely viewed as the future of genetics research. We conducted an exploratory study, in the context of information technology (IT) use, to examine if the PGS approach can be used to better understand the role of genetics in IS research. Consistent with our hypotheses, genetic endowments associated with Educational Attainment and General Cognition positively predict technology use, and genetic endowments associated with Neuroticism, Depressive Symptoms, Myocardial Infarction, and Coronary Artery Disease negatively predict technology use more than half a century later (genetic endowments are established at conception and our sample consists of individuals aged 50 to 80). Many of the characteristics known to be associated with heterogeneity in IT use (e.g., trust, education) appear to be mediators linking PGSs to IT use. Nonetheless, a number of PGSs maintain meaningful direct effects.

中文翻译：

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我们星星的错误：分子遗传学和信息技术的使用

人们越来越有兴趣了解遗传学在解释行为异质性方面的作用，包括那些与信息系统 (IS) 相关的行为。大多数最近的遗传学研究都集中在全基因组关联研究 (GWAS) 中搜索整个基因组，以将 DNA 与人类特征联系起来。GWAS 的结果可用于数据集，以计算称为多基因评分或 PGS 的遗传倾向度量。PGS 被广泛视为遗传学研究的未来。我们在信息技术 (IT) 使用的背景下进行了一项探索性研究，以检查 PGS 方法是否可用于更好地理解遗传学在 IS 研究中的作用。与我们的假设一致，与教育程度和一般认知相关的遗传禀赋积极预测技术使用，与神经质、抑郁症状、心肌梗塞和冠状动脉疾病相关的遗传禀赋对半个多世纪后的技术使用产生负面预测（遗传禀赋是在受孕时建立的，我们的样本由 50 至 80 岁的个体组成）。许多已知与 IT 使用异质性相关的特征（例如，信任、教育）似乎是将 PGS 与 IT 使用联系起来的中介。尽管如此，许多 PGS 仍保持着有意义的直接影响。许多已知与 IT 使用异质性相关的特征（例如，信任、教育）似乎是将 PGS 与 IT 使用联系起来的中介。尽管如此，许多 PGS 仍保持着有意义的直接影响。许多已知与 IT 使用异质性相关的特征（例如，信任、教育）似乎是将 PGS 与 IT 使用联系起来的中介。尽管如此，许多 PGS 仍保持着有意义的直接影响。